Competitive intelligence for AI-mediated buying decisions. Where Resonate Labs wins, where it loses, and a prioritized three-layer execution plan — built from 150 buyer queries across ChatGPT + Claude + Gemini + Perplexity.
Resonate Labs' visibility pattern is not random — it reflects a structural mismatch between where content exists and where buyers form their vendor shortlists.
[Mechanism] The root cause is a content portfolio built around product proof rather than buyer education. Pages that explain what Resonate Labs does earn citations in comparison queries, but no pages exist to answer the foundational questions buyers ask before they know which vendors to compare — questions about GEO methodology, audit criteria, and vendor selection frameworks. This absence is total across problem identification and solution exploration (0% visibility in both stages), which means AI engines have nothing to cite when buyers are most open to new vendor names.
The late-funnel strength in comparison queries is therefore a ceiling, not a floor: it reflects buyers who already knew the brand before asking AI, not buyers who discovered it through AI. A secondary structural issue — unverified schema markup and rendering — means even existing pages may not be fully parsed, limiting citation depth on the pages that do earn mentions.
[Synthesis] L1 verification checks must run before L2 and L3 content ships because schema markup and server-side rendering confirmation determine whether AI crawlers correctly parse page structure and extract passages. Publishing new L3 pages or deepening L2 pages without confirming these fundamentals risks the new content inheriting the same citation gaps as existing pages — the infrastructure fix is what makes downstream content investment durable.
Where Resonate Labs appears and where it doesn't — across personas, buying jobs, and platforms.
[TL;DR] Resonate Labs is visible in 11% of buyer queries and wins 56% of those. The primary challenge is getting visible in the first place.
Resonate Labs is competitive where it appears but appears in only 10.6% of queries (16/151) — the priority is not improving win rate, it is earning the right to compete in the 90% of queries currently won by competitors or left uncontested.
| Dimension | Combined |
|---|---|
| All Queries | 10.6% |
| By Persona | |
| Head of Content Marketing | 0% |
| Director of Demand Generation / Growth Marketing | 6.2% |
| Founder / CEO | 19.2% |
| Head of SEO / Organic Growth | 9.4% |
| VP of Marketing / CMO | 15.8% |
| By Buying Job | |
| Artifact Creation | 25% |
| Comparison | 36.4% |
| Consensus Creation | 0% |
| Problem Identification | 0% |
| Requirements Building | 6.7% |
| Shortlisting | 0% |
| Solution Exploration | 0% |
| Validation | 0% |
[Data] Overall visibility: 10.6% (16/151 queries). High-intent win rate: 75% (9/12 visible high-intent queries). Comparison buying job: 36.4% visibility (12/33 queries), 75% win rate (9/12 visible).
Shortlisting: 0% visibility (0/26 queries). Validation: 0% (0/24). VP of Marketing: 15.8% visibility (6/38), 83.3% win rate (5/6 visible).
Head of Content Marketing: 0% visibility (0/22). Role gap: decision-makers 63.6% win rate (7/11 visible) vs. evaluators 40% (2/5 visible) — a 24pp gap.
[Synthesis] The data reveals a funnel that is broken at the top and functional only at the bottom. Resonate Labs earns strong win rates in the narrow band of queries where buyers already know the brand and are directly comparing options — but those queries represent a fraction of the buyer journey. The 24pp win-rate gap between decision-makers and evaluators signals that evaluators (SEO leads, demand gen leads, content leads) who build the longlist before executives compare never encounter the brand.
Fixing early-funnel visibility is not a content quality problem; it is a content existence problem.
43 queries won by named competitors · 32 no clear winner · 60 no vendor mentioned
Sorted by competitive damage — competitor-winning queries first.
| ID | Query | Persona | Stage | Winner |
|---|---|---|---|---|
| ⚑ Competitor Wins — 43 queries where a named competitor captures the buyer | ||||
| "" | Omniscient Digital | |||
| res_044 | "We've leaned on SEO for years but vanished from AI answers — best GEO agencies for B2B SaaS to fix that?" | VP of Marketing / CMO | Shortlisting | Omniscient Digital |
| res_046 | "Our tracker shows we're losing AI citations — which GEO providers best fix source attribution in a competitive SaaS category?" | Head of SEO / Organic Growth | Shortlisting | Profound |
| res_047 | "Best done-for-you GEO services that actually write and ship the content for small marketing teams" | Head of Content Marketing | Shortlisting | Grizzle |
| res_048 | "Top GEO consultants for an early-stage B2B SaaS startup with no in-house AI search expertise" | Founder / CEO | Shortlisting | Discovered Labs |
| res_050 | "Beyond our current rank tracker, best AI visibility tools for benchmarking share of voice against competitors across ChatGPT and Google AI Overviews?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_051 | "Upgrading from a basic mention tracker — top continuous AI search monitoring platforms for SaaS SEO teams needing daily tracking?" | Head of SEO / Organic Growth | Shortlisting | Profound |
| res_052 | "Best GEO services that give content teams reusable page templates AI engines like to cite" | Head of Content Marketing | Shortlisting | Profound |
| res_054 | "We've outgrown DIY keyword tracking — best AI visibility audit services for a 40-person SaaS startup?" | Founder / CEO | Shortlisting | Peec AI |
| res_055 | "GEO audits that test real buyer-intent questions for B2B SaaS, not generic keyword lists — recommendations?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
Remaining competitor wins: Profound ×6, Discovered Labs ×5, Animalz ×5, Peec AI ×4, Omniscient Digital ×4, Scrunch AI ×3, Position Digital ×3, Grizzle ×3. 32 queries with no clear winner. 60 queries with no vendor mentioned. Full query-level data available in the analysis export.
| ID | Query | Persona | Stage | Winner |
|---|---|---|---|---|
| res_056 | "Our one-off audit went stale — best GEO providers offering recurring audits to track AI visibility trends for SaaS brands?" | Head of SEO / Organic Growth | Shortlisting | Peec AI |
| res_057 | "How does Discovered Labs stack up against other GEO agencies for B2B SaaS AI visibility?" | VP of Marketing / CMO | Shortlisting | Discovered Labs |
| res_059 | "Replacing single-engine tracking — top services to audit how a SaaS brand appears across ChatGPT, Claude, Gemini, and Perplexity at once?" | Director of Demand Generation / Growth Marketing | Shortlisting | Peec AI |
| res_061 | "Our SEO tools can't show AI citations — which GEO tools reveal which sources AI cites so we can fix our product description?" | Head of SEO / Organic Growth | Shortlisting | Profound |
| res_063 | "Moving on from ad-hoc freelancers — recommend GEO partners providing a content deployment playbook for a lean SaaS content team" | Head of Content Marketing | Shortlisting | Animalz |
| res_064 | "Profound vs Scrunch vs hiring an agency — best way to benchmark AI share of voice for SaaS?" | Director of Demand Generation / Growth Marketing | Shortlisting | Scrunch AI |
| res_065 | "Moving off Otterly for something more actionable — best AI visibility platforms with execution support?" | Head of SEO / Organic Growth | Shortlisting | Scrunch AI |
| res_068 | "Our content agency isn't moving AI visibility — best GEO content partners for a SaaS team watching organic clicks dry up?" | Head of Content Marketing | Shortlisting | Animalz |
| res_069 | "Our keyword tool misses buyer intent — which AI visibility audits model our actual buyer personas and the questions they ask assistants?" | Director of Demand Generation / Growth Marketing | Shortlisting | Profound |
| res_071 | "We're moving off Discovered Labs' tracking — how does it compare to a productized GEO audit on technical depth?" | Head of SEO / Organic Growth | Comparison | Discovered Labs |
| res_072 | "Omniscient Digital vs Animalz for B2B SaaS content that gets cited by AI — how do they compare?" | Director of Demand Generation / Growth Marketing | Comparison | Omniscient Digital |
| res_073 | "We're replacing our SEO agency — Grizzle vs Position Digital for combining SEO and GEO at a mid-market SaaS company?" | VP of Marketing / CMO | Comparison | Position Digital |
| res_075 | "Profound vs Scrunch AI for tracking brand visibility across ChatGPT, Perplexity, and Gemini" | Head of SEO / Organic Growth | Comparison | Profound |
| res_076 | "Our current content vendor underdelivers — Animalz vs Omniscient Digital for B2B SaaS content that gets cited by AI?" | Head of Content Marketing | Comparison | Animalz |
| res_078 | "Outgrowing our SEO agency — Grizzle vs Animalz for B2B SaaS organic growth that includes AI search visibility?" | Director of Demand Generation / Growth Marketing | Comparison | Animalz |
| res_079 | "Upgrading from a basic tracker — Profound vs Peec AI: which AI visibility tracker is better for a lean SaaS SEO team?" | Head of SEO / Organic Growth | Comparison | Peec AI |
| res_083 | "Discovered Labs vs Profound — agency-led AI visibility versus a self-serve tracking tool" | Director of Demand Generation / Growth Marketing | Comparison | Discovered Labs |
| res_085 | "Replacing our rank tracker — Scrunch AI vs Profound for competitive share-of-voice benchmarking in AI answers?" | VP of Marketing / CMO | Comparison | Profound |
| res_087 | "Switching content providers — Omniscient Digital vs Grizzle for done-for-you GEO content at a growing SaaS company?" | Head of Content Marketing | Comparison | Omniscient Digital |
| res_089 | "Scrunch AI vs a recurring GEO audit service — which keeps SaaS visibility from going stale over time?" | Head of SEO / Organic Growth | Comparison | Scrunch AI |
| res_092 | "Switching from our current SEO vendor — Position Digital vs Grizzle for tracking how often AI recommends competitors over us?" | Director of Demand Generation / Growth Marketing | Comparison | Position Digital |
| res_095 | "Discovered Labs vs Omniscient Digital — which better upskills an internal marketing team on GEO?" | VP of Marketing / CMO | Comparison | Omniscient Digital |
| res_096 | "Our current tool misreads buyer intent — Profound vs Otterly.ai: which better reflects the real questions our buyers ask AI?" | Director of Demand Generation / Growth Marketing | Comparison | Profound |
| res_098 | "Our current monitor isn't cutting it — Scrunch AI vs Peec AI for continuous AI search monitoring on a small SaaS team?" | Head of SEO / Organic Growth | Comparison | Peec AI |
| res_100 | "Replacing a generalist content agency — Grizzle vs a productized GEO playbook for a SaaS content team needing repeatable output?" | Head of Content Marketing | Comparison | Grizzle |
| res_103 | "We're on Discovered Labs and reconsidering — what do B2B SaaS clients complain about?" | VP of Marketing / CMO | Validation | Discovered Labs |
| res_106 | "We currently retain Animalz — hidden costs of their retainers that mid-market marketing teams don't expect?" | VP of Marketing / CMO | Validation | Animalz |
| res_107 | "Grizzle GEO results — does the AI visibility actually improve or just the reporting?" | Director of Demand Generation / Growth Marketing | Validation | Grizzle |
| res_108 | "Position Digital implementation problems for early-stage SaaS companies" | Founder / CEO | Validation | Position Digital |
| res_113 | "Profound versus reality — is the data accurate enough to act on for a B2B SaaS team?" | Director of Demand Generation / Growth Marketing | Validation | Profound |
| res_114 | "Will Discovered Labs leave my team able to run GEO, or dependent on them?" | Founder / CEO | Validation | Discovered Labs |
| res_115 | "We're on an Omniscient Digital retainer — is it worth the premium for a mid-market SaaS, or should we switch?" | VP of Marketing / CMO | Validation | Omniscient Digital |
| res_144 | "Build a Comparison matrix for Grizzle, Position Digital, and Animalz on GEO capabilities for a B2B SaaS marketing team" | Director of Demand Generation / Growth Marketing | Artifact Creation | Grizzle |
| res_001 | "Buyers keep telling us they found our competitors through ChatGPT but not us — how do other SaaS marketing teams tackle that?" | VP of Marketing / CMO | Problem Identification | No Vendor Mentioned |
| res_002 | "How are B2B SaaS growth teams figuring out whether AI assistants are actually recommending them to buyers?" | Director of Demand Generation / Growth Marketing | Problem Identification | No Vendor Mentioned |
| res_003 | "Organic traffic is sliding as AI overviews answer everything — what are SaaS teams doing to stay visible?" | Head of SEO / Organic Growth | Problem Identification | No Vendor Mentioned |
| res_004 | "What kinds of content still get picked up when AI answers the question directly instead of sending clicks?" | Head of Content Marketing | Problem Identification | No Vendor Mentioned |
| res_005 | "Competitors are becoming the default answer when buyers ask AI about our category — what should a founder do about it?" | Founder / CEO | Problem Identification | No Vendor Mentioned |
| res_006 | "Everyone says we need to optimize for AI search but what does a marketing team actually do first?" | VP of Marketing / CMO | Problem Identification | No Vendor Mentioned |
| res_007 | "When AI recommends tools in our space, where is it actually pulling those answers from?" | Director of Demand Generation / Growth Marketing | Problem Identification | No Vendor Mentioned |
| res_008 | "How big a deal is it for a startup if ChatGPT never mentions us when buyers ask for recommendations?" | Founder / CEO | Problem Identification | No Vendor Mentioned |
| res_009 | "What's the smartest way for a small content team to start showing up in AI answers?" | Head of Content Marketing | Problem Identification | No Vendor Mentioned |
| res_010 | "AI answers about our category keep changing month to month — how do teams keep up with that?" | Head of SEO / Organic Growth | Problem Identification | No Vendor Mentioned |
| res_011 | "Is there any way to tell whether showing up in AI chat answers actually drives pipeline?" | VP of Marketing / CMO | Problem Identification | No Vendor Mentioned |
| res_012 | "How do we even know which questions our buyers are asking AI tools about our category?" | Director of Demand Generation / Growth Marketing | Problem Identification | No Vendor Mentioned |
| res_013 | "We've poured budget into SEO but still don't show up in AI answers — what are we missing?" | Founder / CEO | Problem Identification | No Vendor Mentioned |
| res_014 | "We pay for a tracking tool but nothing improves — build vs buy: when does hiring a GEO agency beat the tool?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_015 | "What's the difference between GEO, AEO, and traditional SEO for B2B SaaS, and which actually moves AI recommendations?" | Director of Demand Generation / Growth Marketing | Solution Exploration | No Vendor Mentioned |
| res_016 | "We already have an AI visibility tracker — does it improve how we show up, or do we still need someone to act on the data?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_017 | "Should we hire a GEO agency to produce content or train our in-house team to do it themselves?" | Head of Content Marketing | Solution Exploration | No Vendor Mentioned |
| res_018 | "What are the realistic options for getting AI visibility work done — DIY tools, agencies, or upskilling our own marketers?" | VP of Marketing / CMO | Solution Exploration | No Clear Winner |
| res_019 | "How do GEO services actually get a brand cited in LLM answers — what's the underlying methodology?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_020 | "How do AI visibility audits decide which buyer questions to test instead of just generic keywords?" | Director of Demand Generation / Growth Marketing | Solution Exploration | No Vendor Mentioned |
| res_021 | "Is GEO something a startup should outsource now or build internal capability for over time?" | Founder / CEO | Solution Exploration | No Vendor Mentioned |
| res_022 | "One-off AI audit versus an ongoing GEO program — what are the real tradeoffs for keeping visibility up?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_023 | "What types of pages do AI assistants tend to cite, and how is that different from writing for Google?" | Head of Content Marketing | Solution Exploration | No Clear Winner |
| res_024 | "How do teams measure share of voice in AI answers against competitors — is there a standard approach?" | Director of Demand Generation / Growth Marketing | Solution Exploration | No Vendor Mentioned |
| res_025 | "What approaches exist for connecting AI visibility work to pipeline so it's not just a vanity metric?" | VP of Marketing / CMO | Solution Exploration | No Vendor Mentioned |
| res_026 | "Do you need to test ChatGPT, Claude, Gemini, and Perplexity separately, or is one enough to gauge AI visibility?" | Head of SEO / Organic Growth | Solution Exploration | No Vendor Mentioned |
| res_027 | "We bought an AI tracking tool and nothing changed — what kind of help actually turns those insights into results?" | Founder / CEO | Solution Exploration | No Vendor Mentioned |
| res_028 | "Done-for-you GEO content versus templates and training — which gets a small team to results faster?" | Head of Content Marketing | Solution Exploration | No Vendor Mentioned |
| res_029 | "Key things to look for when choosing a GEO partner for a B2B SaaS company that needs to prove AI visibility to leadership" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_030 | "What should a GEO audit include — citation source analysis, competitor share of voice, what else is non-negotiable?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_031 | "What does a good 30-day AI visibility action plan actually contain for a mid-market SaaS marketing team?" | Director of Demand Generation / Growth Marketing | Requirements Building | No Vendor Mentioned |
| res_033 | "What questions should I ask a GEO agency about how they measure visibility across ChatGPT, Perplexity, and Gemini?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_034 | "Evaluation criteria for a GEO service that needs to give my content team a repeatable page playbook, not one-off deliverables" | Head of Content Marketing | Requirements Building | No Vendor Mentioned |
| res_035 | "For a seed-stage SaaS, what should we require from a GEO vendor to tie the work to pipeline and revenue?" | Founder / CEO | Requirements Building | No Vendor Mentioned |
| res_036 | "How do I evaluate whether a GEO provider can actually track competitor share of voice in AI answers?" | Director of Demand Generation / Growth Marketing | Requirements Building | No Vendor Mentioned |
| res_037 | "Coming off a locked-in retainer — what should I look for in a GEO engagement that upskills my team instead of keeping us dependent?" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_038 | "Replacing a one-off audit with ongoing monitoring — requirements checklist for AI visibility, and how often should results refresh?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_039 | "What capabilities matter when choosing a partner to write GEO-optimized pages that AI engines will actually cite?" | Head of Content Marketing | Requirements Building | No Vendor Mentioned |
| res_040 | "What deliverables should a startup insist on before signing a GEO engagement — audit, plan, execution, or all three?" | Founder / CEO | Requirements Building | No Clear Winner |
| res_041 | "How important is buyer-persona query modeling when picking a GEO audit, versus just tracking a list of keywords?" | Director of Demand Generation / Growth Marketing | Requirements Building | No Vendor Mentioned |
| res_042 | "We're replacing a one-time audit with something ongoing — what should recurring GEO reporting include to show progress?" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned |
| res_043 | "What should a GEO audit tell me about why AI describes our product wrong and which sources it's citing?" | Head of SEO / Organic Growth | Requirements Building | No Vendor Mentioned |
| res_045 | "Top AI visibility audit services that deliver a prioritized action plan, not just a dashboard, for SaaS teams" | Director of Demand Generation / Growth Marketing | Shortlisting | No Clear Winner |
| res_049 | "We're stuck on an agency retainer — GEO partners that instead train your marketing team to run AI optimization in-house?" | VP of Marketing / CMO | Shortlisting | No Clear Winner |
| res_053 | "Our current agency can't prove ROI — which GEO agencies tie AI visibility to pipeline for a mid-market SaaS reporting to a CFO?" | VP of Marketing / CMO | Shortlisting | No Clear Winner |
| res_058 | "Switching from our content agency to a GEO-focused one — best options that handle AI-optimized production?" | Head of Content Marketing | Shortlisting | No Clear Winner |
| res_060 | "Best GEO offerings for founders who want a done-with-you engagement, not a pure software subscription" | Founder / CEO | Shortlisting | No Clear Winner |
| res_062 | "Our last GEO vendor overwhelmed us — best audit and action-plan services for a B2B SaaS marketing team of five with limited bandwidth?" | VP of Marketing / CMO | Shortlisting | No Clear Winner |
| res_066 | "Leading GEO agencies for SaaS brands that are invisible in AI answers but strong in traditional search" | VP of Marketing / CMO | Shortlisting | No Clear Winner |
| res_067 | "GEO services a startup can justify to investors — which ones connect AI visibility to real growth?" | Founder / CEO | Shortlisting | No Vendor Mentioned |
| res_080 | "Hiring Omniscient Digital versus a productized GEO audit — what's better value for a startup?" | Founder / CEO | Comparison | No Clear Winner |
| res_082 | "Animalz vs a templated GEO playbook — which helps a small content team ship cited pages faster?" | Head of Content Marketing | Comparison | No Clear Winner |
| res_088 | "Position Digital versus a collaborative GEO engagement — which leaves my team more capable afterward?" | Director of Demand Generation / Growth Marketing | Comparison | No Clear Winner |
| res_094 | "We're leaving Animalz — how does a GEO-first content service compare for AI visibility?" | Head of Content Marketing | Comparison | No Vendor Mentioned |
| res_102 | "Omniscient Digital vs a productized GEO audit service for measuring AI visibility across all major assistants" | Head of SEO / Organic Growth | Comparison | No Clear Winner |
| res_104 | "Biggest risks of hiring Discovered Labs for a startup with a tight GEO budget" | Founder / CEO | Validation | No Clear Winner |
| res_105 | "Common complaints about Omniscient Digital from SaaS marketing teams" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_109 | "Profound limitations — what do teams say it misses for AI visibility tracking?" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_110 | "We're winding down our Animalz engagement — what typically goes wrong with their content for small SaaS teams?" | Head of Content Marketing | Validation | No Clear Winner |
| res_111 | "Does Discovered Labs actually prove pipeline impact, or just citation counts?" | VP of Marketing / CMO | Validation | No Clear Winner |
| res_112 | "Scrunch AI accuracy concerns — how reliable is its AI mention tracking for a SaaS category?" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_116 | "Grizzle content quality complaints — what do reviewers warn about?" | Head of Content Marketing | Validation | No Clear Winner |
| res_117 | "Considering leaving Position Digital — does it keep AI visibility up over time or is it one-and-done?" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_118 | "Outgrowing Otterly.ai — what can't it do for serious AI visibility work?" | Director of Demand Generation / Growth Marketing | Validation | No Clear Winner |
| res_119 | "We're unhappy with Discovered Labs — what typically goes wrong with these GEO retainers?" | Founder / CEO | Validation | No Clear Winner |
| res_120 | "Animalz GEO — common reasons SaaS marketers say the results underwhelmed" | VP of Marketing / CMO | Validation | No Clear Winner |
| res_121 | "Peec AI limitations for competitive AI visibility analysis at a SaaS company" | Head of SEO / Organic Growth | Validation | No Clear Winner |
| res_122 | "What should I watch out for before signing with Position Digital for GEO?" | Director of Demand Generation / Growth Marketing | Validation | No Clear Winner |
| res_123 | "Reasons mid-market SaaS teams churn from Omniscient Digital" | VP of Marketing / CMO | Validation | No Clear Winner |
| res_124 | "Hidden costs and risks of a Grizzle engagement for a budget-conscious startup" | Founder / CEO | Validation | No Clear Winner |
| res_125 | "We're with Discovered Labs — does it actually ship content, or just tell you what to write?" | Head of Content Marketing | Validation | No Clear Winner |
| res_126 | "How accurate are AI visibility audits in general — can the citation data really be trusted?" | Head of SEO / Organic Growth | Validation | No Vendor Mentioned |
| res_127 | "How do I build the business case for a GEO investment to present to our CFO and board?" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_128 | "What's the ROI argument for investing in AI visibility now versus waiting another year as a startup?" | Founder / CEO | Consensus Creation | No Vendor Mentioned |
| res_129 | "How do I convince leadership that competitors winning AI recommendations is an urgent revenue risk?" | Director of Demand Generation / Growth Marketing | Consensus Creation | No Vendor Mentioned |
| res_130 | "Typical payback period for a GEO program at a mid-market B2B SaaS company" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_131 | "Case studies of B2B SaaS companies that grew pipeline by improving their AI search visibility" | Founder / CEO | Consensus Creation | |
| res_132 | "How do I justify a collaborative, done-with-you GEO program over just buying a cheaper tracking tool?" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_133 | "What metrics should I report each cycle to prove our GEO program is improving visibility and pipeline?" | Director of Demand Generation / Growth Marketing | Consensus Creation | No Vendor Mentioned |
| res_134 | "Risk-mitigation argument for funding GEO now instead of waiting until our organic traffic collapses further" | Founder / CEO | Consensus Creation | No Vendor Mentioned |
| res_135 | "We're shifting from a tracking agency to a productized audit — how do I justify that over Discovered Labs to my exec team?" | VP of Marketing / CMO | Consensus Creation | No Clear Winner |
| res_136 | "Building the internal case for baselining our AI visibility before competitors lock in the category narrative" | Director of Demand Generation / Growth Marketing | Consensus Creation | No Vendor Mentioned |
| res_137 | "How do I make the case to leadership for outsourcing GEO content instead of overloading my team?" | Head of Content Marketing | Consensus Creation | No Vendor Mentioned |
| res_138 | "We're reallocating SEO budget to GEO — how do I frame that shift to the leadership team?" | VP of Marketing / CMO | Consensus Creation | No Vendor Mentioned |
| res_139 | "Draft an RFP for a GEO audit service covering ChatGPT, Claude, Gemini, and Perplexity visibility for a mid-market B2B SaaS company" | VP of Marketing / CMO | Artifact Creation | No Vendor Mentioned |
| res_141 | "Build a three-year TCO model for a GEO program at a 50-person SaaS startup, including audit, content, and tracking costs" | Founder / CEO | Artifact Creation | No Vendor Mentioned |
| res_142 | "Write evaluation criteria a marketing leader would use to choose a GEO partner, focused on action-plan quality and execution" | VP of Marketing / CMO | Artifact Creation | No Vendor Mentioned |
| res_143 | "Create a questionnaire for GEO vendors about how they identify which sources AI cites and fix inaccurate product descriptions" | Head of SEO / Organic Growth | Artifact Creation | No Vendor Mentioned |
| res_146 | "Create a quarterly GEO reporting template that shows AI visibility trends and ties them to pipeline for executive review" | VP of Marketing / CMO | Artifact Creation | No Vendor Mentioned |
| res_147 | "Write a content production brief template for GEO-optimized pages that AI engines are likely to cite, for a lean content team" | Head of Content Marketing | Artifact Creation | No Vendor Mentioned |
| res_148 | "Draft a list of buyer-intent questions our personas would ask AI assistants when evaluating tools in our SaaS category" | Director of Demand Generation / Growth Marketing | Artifact Creation | No Vendor Mentioned |
| res_149 | "Create a vendor scorecard comparing done-for-you, done-with-you, and tool-only GEO options for a team replacing a tracking subscription" | VP of Marketing / CMO | Artifact Creation | No Clear Winner |
Queries where Resonate Labs is mentioned but a competitor is positioned more favorably.
| ID | Query | Persona | Buying Job | Winner | Resonate Labs Position |
|---|---|---|---|---|---|
| res_032 | "Must-have versus nice-to-have when picking a GEO vendor that can also produce the content, not just audit it" | VP of Marketing / CMO | Requirements Building | No Vendor Mentioned | Mentioned In List |
| res_074 | "Resonate Labs vs Discovered Labs — which gives a startup a clearer 30-day action plan?" | Founder / CEO | Comparison | Discovered Labs | Strong 2nd |
| res_086 | "Resonate Labs vs Discovered Labs — which better connects AI visibility to pipeline for a startup?" | Founder / CEO | Comparison | Discovered Labs | Strong 2nd |
| res_101 | "Discovered Labs vs Resonate Labs — whose reporting better proves GEO ROI to finance?" | Director of Demand Generation / Growth Marketing | Comparison | Discovered Labs | Strong 2nd |
| res_140 | "Create a vendor Comparison scorecard for Discovered Labs, Omniscient Digital, and a productized GEO audit, focused on AI share-of-voice measurement" | Director of Demand Generation / Growth Marketing | Artifact Creation | Discovered Labs | Brief Mention |
| res_145 | "Draft a 30-day GEO action plan template for an early-stage SaaS startup with no prior AI search optimization, prioritized by impact" | Founder / CEO | Artifact Creation | No Vendor Mentioned | Brief Mention |
| res_150 | "Build an evaluation framework comparing agency-led GEO audits against tools like Profound and Scrunch for measuring AI visibility" | Head of SEO / Organic Growth | Artifact Creation | No Clear Winner | Brief Mention |
Who’s winning when Resonate Labs isn’t — and who controls the narrative at each buying stage.
[TL;DR] Resonate Labs wins 6% of queries (9/151), ranks #9 in SOV — H2H record: 13W–5L across 9 competitors.
9th-place SOV rank reflects absence from early-funnel queries, not inability to compete — the 6-4 H2H record against Discovered Labs and 75% high-intent win rate show the brand can win when it shows up.
| Company | Mentions | Share |
|---|---|---|
| Profound | 52 | 17.3% |
| Discovered Labs | 48 | 16% |
| Peec AI | 32 | 10.6% |
| Scrunch AI | 32 | 10.6% |
| Omniscient Digital | 31 | 10.3% |
| Otterly.ai | 30 | 10% |
| Animalz | 21 | 7% |
| Grizzle | 20 | 6.6% |
| Resonate Labs | 18 | 6% |
| Position Digital | 17 | 5.7% |
When Resonate Labs and a competitor both appear in the same response, who gets the recommendation? One query with multiple competitors generates a matchup against each — so H2H totals will exceed the query count.
Win = primary recommendation (cross-platform majority). Loss = competitor was. Tie = neither or third party.
For the 135 queries where Resonate Labs is completely absent:
Vendors appearing in responses not in Resonate Labs’s defined competitive set.
[Data] SOV rank: 9/10 (18 mentions, 6% share). Profound leads at 17.3% share (52 mentions). Discovered Labs 2nd at 16% (48 mentions).
H2H vs. Discovered Labs: 6 client wins, 4 competitor wins, 1 tie (11 co-occurring queries). H2H vs.
Omniscient Digital: 1-0-2 (3 queries). H2H vs. Profound: 1-1-4 (6 queries).
Invisible query winners: 44.4% no AI coverage (60/135), 8.2% Profound (11/135).
[Synthesis] The H2H record flatters a deeper problem. Resonate Labs wins more direct matchups than it loses against Discovered Labs — but those matchups occur in only 11 queries out of 150. The SOV rank of 9th reflects what happens across the full query set: Profound and Discovered Labs accumulate mentions in the early-funnel queries where Resonate Labs is absent.
Notably, 44.4% of invisible queries have no AI coverage winner at all — meaning early-funnel content investment would not just displace competitors, it would capture uncontested ground where buyers currently get no vendor recommendation.
What AI reads and trusts in this category.
[TL;DR] Resonate Labs had 22 unique pages cited across buyer queries, ranking #5 among all cited domains. 10 high-authority domains cite competitors but not Resonate Labs.
22 unique pages cited and an 86-instance citation footprint concentrated in homepage and product pages signals that AI engines see Resonate Labs as a narrow-topic source; expanding topical coverage across buyer questions is the path to citation authority.
Note: Domain-level citation counts (above) tally instances per individual domain. Competitor-level counts (below) aggregate across all domains owned by a single vendor, which may include subdomains.
Non-competitor domains citing other vendors but not Resonate Labs — off-domain authority opportunities.
These domains cited competitors but did not cite Resonate Labs pages in the queries analyzed. This reflects citation patterns in AI responses, not overall platform presence.
[Data] Client unique pages cited: 22. Client domain citation instances: 86 (rank #5 across all cited domains). Discovered Labs domain: 214 citation instances (rank #1).
Homepage leads client pages with 19 citation instances. resonatelabs.co/what-is-geo and /pricing each cited 9 instances. Third-party gap: 10 high-volume domains (arxiv.org: 208 instances, reddit.com: 160 instances, youtube.com: 73 instances) where client has no presence.
[Synthesis] Citation rank #5 overstates content breadth: 22 unique pages drive all client citations, and the homepage alone accounts for a disproportionate share of instances. This concentration means AI engines repeatedly cite the same small set of pages — primarily product and overview content — while the brand has no foothold in the third-party domains that AI models treat as authoritative sources. Arxiv, Reddit, and YouTube collectively accumulate 441 citation instances with zero Resonate Labs presence, representing distribution channels that could amplify new content well beyond the client's own domain.
Three layers of recommendations ranked by commercial impact and implementation speed.
[TL;DR] 33 priority recommendations (plus 9 near-rebuild optimizations) targeting 142 gap queries (135 invisible, 7 positioning gaps). 1 L1 technical fixes + 4 verification checks, 18 content optimizations (L2), 10 new content initiatives (L3).
33 recommendations in three layers — 5 technical verifications, 18 content optimizations, 10 new content builds — provide a sequenced path from infrastructure confirmation through early-funnel dominance, with L1 completing before L2/L3 content ships.
Reading the priority numbers: Recommendations are ranked 1–33 across all three layers by commercial impact × implementation speed. Within each layer, items appear in priority order. Gaps in the sequence (e.g., L1 shows 1, 2, then 12) mean higher-priority items belong to a different layer.
Configuration and infrastructure changes. Owner: Engineering / DevOps. Timeline: Days to weeks.
| Priority | Finding | Impact | Timeline |
|---|---|---|---|
| #1 | Verify structured-data (schema) markup on key pages | Medium | 1-3 days |
Items requiring manual review before determining if action is needed.
| Priority | Finding | Impact | Timeline |
|---|---|---|---|
| #30 | /start/ is a near-empty redirect page reachable from primary navigation | Low | < 1 day |
| #31 | AI crawler access is fully open across all major engines | Low | < 1 day |
| #32 | Confirm server-side rendering with JavaScript disabled | Low | < 1 day |
| #33 | Verify meta descriptions and Open Graph tags | Low | < 1 day |
Click any row to expand full issue/fix detail.
Existing pages that need restructuring or deepening. Owner: Content Team. Timeline: Weeks.
https://resonatelabs.co/compare/geo-agencies likely contains general agency comparisons but does not have a dedicated Discovered Labs vs. Resonate Labs ROI reporting Comparison section with CFO-level framing — the specific Comparison res_101 buyers are evaluating. https://resonatelabs.co/sample-report/ shows what Resonate Labs' report contains but does not explicitly compare its reporting methodology against Discovered Labs' pipeline attribution approach — missing the head-to-head ROI reporting Comparison that would win res_101. None of the matched pages contain the phrase 'GEO ROI to finance' or a structured framework for presenting AI visibility ROI to a CFO — leaving AI engines with no Resonate Labs-attributed CFO-level reporting framework.
Queries affected: res_101
https://resonatelabs.co/compare/geo-agencies is cited 6 times in buyer queries but the metric routing assigns res_074 and res_086 to action-plan methodology pages rather than the compare page — indicating the compare page does not contain the specific 'Resonate Labs vs. Discovered Labs' named Comparison content that these queries require. The affinity override in the routing rationale explicitly states that res_074 and res_086 require Comparison page types — the methodology and artifact pages (/sample-action-plan/, /atomic-content/) cannot serve this need regardless of content edits because they are not structured as Comparison resources. https://resonatelabs.co/compare/geo-agencies likely contains a general agency Comparison but lacks a dedicated Resonate Labs vs. Discovered Labs section with the specific differentiation language that would win direct-named-Comparison queries like res_074 and res_086.
Queries affected: res_074, res_086
https://resonatelabs.co/sample-action-plan/ presents a sample artifact but does not contain a commercial positioning statement explicitly differentiating Resonate Labs from 'dashboard-only tracking tools' (Profound, Peec AI, Scrunch) — the specific differentiation that res_045 buyers are evaluating when they ask for 'a prioritized action plan, not just a dashboard.' https://resonatelabs.co/for/content-leaders/ does not contain team-size-specific positioning (e.g., 'designed for marketing teams of 3–10 with limited GEO bandwidth') that would match the res_062 buyer pattern and give AI engines a citable passage naming Resonate Labs as suitable for bandwidth-constrained small teams. None of the matched pages contain an explicit 'Resonate Labs vs. tracking tools' Comparison statement that would position Resonate Labs in the action-plan-vs-dashboard category distinction res_045 buyers are researching.
Queries affected: res_045, res_062
https://resonatelabs.co/compare/geo-agencies does not appear in the matched URLs for res_104, res_119, or res_122, indicating it lacks the specific competitor-risk content (Discovered Labs budget risks for startups, GEO retainer failure modes, Position Digital warning signs) that these buyer queries require. No matched page contains a structured analysis of common GEO retainer failure modes that Resonate Labs' engagement model is designed to avoid — the specific framing that res_119 buyers are searching for when researching 'what goes wrong with these retainers.' The action-plan and methodology pages (/sample-action-plan/, /atomic-content/) focus on what Resonate Labs delivers but do not contrast this against the risks buyers face with competitor models (dependency, no transferable assets, stale audits) — missing the risk-mitigation narrative that would make Resonate Labs citable in these Validation queries.
Queries affected: res_104, res_119, res_122
https://resonatelabs.co/compare/geo-agencies exists and is cited 6 times in buyer queries, but it does not appear in the L2 matched URLs for res_103 and res_108 — indicating the page likely does not contain specific Discovered Labs complaint language or Position Digital implementation-failure framing that would match these buyer queries. The compare page as structured likely lists agencies side-by-side without naming the specific pain points (Discovered Labs' dependency risk, Position Digital's early-stage implementation gaps) that buyers in res_103 and res_108 are researching — making it unextractable for these specific query patterns. None of the homepage cluster pages (/, /what-is-geo/, /for/executives/) contain any passage about what to do when your current GEO agency has failed, creating a structural gap for the 'reconsidering Discovered Labs' and 'Position Digital problems' buyer patterns.
Queries affected: res_103, res_108
https://resonatelabs.co/compare/geo-agencies exists but does not appear to contain a structured vendor scorecard with AI share-of-voice measurement criteria that would allow AI engines to cite Resonate Labs as the productized GEO audit option in a three-way Comparison with Discovered Labs and Omniscient Digital. The compare page likely does not include AI share-of-voice measurement methodology as a scored evaluation dimension — the specific focus of res_140 that led to Discovered Labs winning with a 4.55/5 weighted score while Resonate Labs was not mentioned. No matched page contains a structured scoring framework for comparing GEO vendors on AI SOV measurement methodology, platform coverage, data freshness, and competitive share-of-voice reporting — the specific scorecard dimensions res_140 buyers are creating.
Queries affected: res_140
https://resonatelabs.co/for/content-leaders/ addresses content team concerns but does not contain a structured 'outsource GEO vs. build in-house' decision framework — the specific decision point res_021 buyers are researching — so AI engines have no Resonate Labs-attributed passage for this query pattern. https://resonatelabs.co/for/content-leaders/ uses marketing prose rather than a structured list of what clients receive from a Resonate Labs engagement vs. what they retain capability to do themselves — missing the 'what do we own at the end' framing that res_040 buyers require. https://resonatelabs.co/sample-action-plan/ does not contain a 'what to require from a GEO vendor before signing' checklist — the exact checklist format that would answer res_040 and give AI engines a citable Resonate Labs-attributed requirements framework.
Queries affected: res_021, res_031, res_040
https://resonatelabs.co/sample-action-plan/ functions as a document artifact download or preview but does not contain extractable prose explaining what Resonate Labs' action plan methodology includes, how it is structured across 30 days, and why it differs from a monitoring dashboard — the exact information buyers in res_031, res_040, and res_045 are asking for. https://resonatelabs.co/sample-report/ is similarly artifact-focused and lacks a structured description of what the report covers, who it is for (team size, ICP), and what decisions it enables — leaving AI engines with no citable passage to surface Resonate Labs in 'what should a GEO audit report contain' queries. https://resonatelabs.co/atomic-content/ and https://resonatelabs.co/for/content-leaders/ do not explicitly connect Resonate Labs' content methodology to the 'GEO action plan' concept, so when buyers ask about deliverables and execution frameworks, AI engines cite Discovered Labs (which explicitly names its sprint-and-plan methodology) rather than Resonate Labs.
Queries affected: res_048, res_006, res_021, res_031, res_040, res_045, res_062, res_104, res_119, res_122, res_130, res_134, res_142
https://resonatelabs.co/what-is-geo/ is structured as an educational explainer about GEO as a discipline — it does not assert that Resonate Labs is a named provider capable of fixing AI invisibility for B2B SaaS teams, so AI engines have no hook to cite Resonate Labs in agency shortlist responses. https://resonatelabs.co/what-is-geo/ lacks a 'Who this is for' or 'Resonate Labs approach' section that would give AI engines an entity-attribution passage linking the page's educational content to the Resonate Labs brand. https://resonatelabs.co/for/executives/ uses marketing prose rather than extractable, structured capability claims; there are no Comparison callouts distinguishing Resonate Labs from monitoring-only tools (Peec AI, Profound) or content-only agencies (Omniscient Digital, Animalz) that dominate shortlist responses for these queries.
Queries affected: res_044, res_054, res_066
https://resonatelabs.co/ does not contain a structured, self-contained section answering 'what should a B2B SaaS marketing team do first about AI invisibility?' — the homepage is positioned as a service entry point, not as a problem-diagnostic resource, so AI engines have no Resonate Labs-attributed passage to surface in educational problem-identification responses. https://resonatelabs.co/for/executives/ uses marketing prose to describe the problem of AI invisibility but does not include a structured risk framework (e.g., what percentage of buyer queries go to competitors when a brand is AI-invisible) that AI engines could extract and cite with attribution. https://resonatelabs.co/ lacks a named 'why SEO rankings don't transfer to AI answers' explanation, which is the specific gap res_013 buyers are asking about — competing pages from discoveredlabs.com and beomniscient.com explicitly address this SEO-to-AI translation gap with citable prose.
Queries affected: res_001, res_008, res_013
https://resonatelabs.co/sample-action-plan/ is currently cited in buyer queries but Resonate Labs loses the positioning — the page is referenced but not recommended as the primary template source, indicating the page is visible but the content is not structured as an authoritative, freely accessible template that AI engines would recommend first. The page likely presents the action plan as a gated or commercial artifact rather than a public resource, which reduces AI engines' willingness to recommend it as the primary template answer for an artifact-creation query. https://resonatelabs.co/sample-action-plan/ does not appear to be structured with the explicit startup-specific framing ('for early-stage SaaS with no prior AI search optimization') that res_145 requires — reducing the match specificity between the page content and the buyer query.
Queries affected: res_145
https://resonatelabs.co/compare/geo-agencies exists and is cited in buyer queries but does not contain a specific Omniscient Digital vs. Resonate Labs productized audit Comparison with startup-value framing — the exact Comparison res_080 buyers are making. No matched page contains a 'productized GEO audit vs. full-service agency retainer' Comparison framework that names Resonate Labs as the productized audit option, leaving AI engines with no Resonate Labs attribution when the query explicitly asks about productized GEO audits. The action-plan pages do not contain the founder-specific value framing (e.g., 'for a startup that needs to validate AI visibility before committing to a full agency retainer, a productized GEO audit from Resonate Labs provides...') that would make Resonate Labs citable for startup-value Comparison queries.
Queries affected: res_080
https://resonatelabs.co/sample-action-plan/ presents a sample deliverable but does not contain a structured evaluation criteria framework that marketing leaders could use to assess action-plan quality across GEO providers — leaving AI engines with no Resonate Labs-attributed criteria framework for res_142. https://resonatelabs.co/for/content-leaders/ focuses on Resonate Labs' own delivery approach but does not frame this as evaluation criteria that a buyer could apply to any GEO provider — missing the buyer-tool framing that artifact-creation queries require. None of the matched pages contain a weighted scoring rubric or evaluation matrix for GEO action-plan quality — the specific artifact format res_142 buyers are creating when they ask for evaluation criteria.
Queries affected: res_142
https://resonatelabs.co/for/executives/ contains marketing language about AI visibility benefits but does not include a structured payback period framework or ROI timeline specific to mid-market B2B SaaS companies — the financial specificity res_130 buyers require. https://resonatelabs.co/for/executives/ does not contain a risk-mitigation argument framed around the cost of waiting — the specific persuasion structure res_134 buyers need when presenting the GEO investment case to leadership. The action-plan pages (/sample-action-plan/, /sample-report/) present deliverables but do not include the business-outcome framing (expected visibility improvement timeline, pipeline attribution framework, competitive displacement risk of delay) that would make these pages relevant to consensus-creation queries.
Queries affected: res_130, res_134
https://resonatelabs.co/for/executives/ is positioned as a buyer-entry page but does not contain structured ROI or payback period data that CMOs and VPs of Marketing need to justify GEO investment to a CFO — the specific information res_130 buyers are searching for. https://resonatelabs.co/for/executives/ lacks a structured 'risk of waiting' argument — the specific framing res_134 buyers need to make the case for funding GEO now rather than after organic traffic collapses further. The action-plan pages (/sample-action-plan/, /sample-report/) present deliverables but do not include any ROI benchmarks, expected timeline to first citation improvements, or payback period estimates that would give AI engines a Resonate Labs-attributed business-case datapoint.
Queries affected: res_130, res_134
https://resonatelabs.co/what-is-geo/ does not contain a structured 'how to measure whether AI is recommending you' methodology section that AI engines could extract and attribute to Resonate Labs — the specific question res_002 asks, and the entry point for demand-gen leads entering the GEO buying journey. https://resonatelabs.co/what-is-geo/ does not contain demand-gen-specific framing connecting AI visibility measurement to pipeline metrics (e.g., 'for demand generation teams, AI recommendation rate is a leading indicator of pipeline — here's how to measure it') — reducing relevance for demand-gen persona queries. https://resonatelabs.co/for/executives/ addresses AI visibility at a high level but does not contain a practical measurement methodology statement that demand-gen leads (who own growth metrics) would search for when beginning to research AI visibility.
Queries affected: res_002
https://resonatelabs.co/what-is-geo/ explains GEO as a discipline but does not contain a section explicitly addressing why B2B SaaS companies with strong SEO rankings remain invisible in AI answers — the specific gap res_013 founders are asking about, and the most common misconception in the category. https://resonatelabs.co/what-is-geo/ does not contain startup-specific framing about the business risk of AI invisibility for early-stage companies (e.g., 'for a seed-stage SaaS, being absent from AI recommendations means missing buyers before they enter your funnel') that would match res_008's founder-persona query. https://resonatelabs.co/ lacks a Resonate Labs-attributed explanation connecting SEO maturity to AI visibility — pages that win these queries (Discovered Labs homepage, beomniscient.com) explicitly name the SEO-to-AI gap with company attribution; Resonate Labs' homepage does not.
Queries affected: res_013, res_008
https://resonatelabs.co/brief/ is likely a brief intake or checkout page with minimal content — it does not contain a structured evaluation framework or RFP criteria that would give AI engines a Resonate Labs-attributed reference for buyers building GEO vendor evaluation artifacts. https://resonatelabs.co/what-is-geo/ provides educational content about GEO but does not include a 'what to require from a GEO audit service' or 'how to evaluate GEO providers' section that buyers writing RFPs could reference and attribute to Resonate Labs. https://resonatelabs.co/sample-report/ shows what Resonate Labs delivers but does not frame this as evaluation criteria (e.g., 'a GEO audit report should include: platform coverage across ChatGPT, Claude, Gemini, Perplexity; buying-job query results by persona; competitor SOV; prioritized action plan') — missing the criteria-framework format that res_142 buyers need.
Queries affected: res_139, res_142
Net new content addressing visibility and positioning gaps. Owner: Content Strategy. Timeline: Months.
Buyers who first recognize the AI visibility problem turn to ChatGPT, Claude, Gemini, and Perplexity for orientation — and Resonate Labs is absent from every one of those conversations. Without presence at Problem Identification and Solution Exploration, the brand cannot seed the mental model that later drives Shortlisting and Comparison clicks. Competitors who appear at this stage effectively pre-qualify buyers against Resonate Labs before a direct Comparison ever occurs. Closing this gap requires standalone educational content that names the problem, quantifies the risk, and positions Resonate Labs as the authoritative source.
ChatGPT (high): Problem_identification and Solution Exploration responses on ChatGPT are predominantly educational with No Vendor Mentioned, meaning well-structured authoritative content has a clear path to citation. Claude (high): Claude returns entirely educational responses at these funnel stages with 0% visibility for Resonate Labs; the format is compatible with long-form explainer pages that establish entity authority. Gemini (medium): Gemini returns high citation counts (often 13-16 per query) at these stages, suggesting it actively pulls from diverse sources — Resonate Labs' absence is a content gap rather than a platform barrier. Perplexity (high): Perplexity cites 14-15 sources per query at this funnel stage and already ranks resonatelabs.co #5 overall by domain citations; incremental on-domain content is likely to be picked up quickly.
Requirements-building is the stage where buyers codify what they need before issuing an RFP or starting a formal vendor evaluation. A vendor that is absent here is excluded from the buyer's own scoring rubric before the Comparison stage even begins. Resonate Labs has a strong action-plan content cluster but lacks dedicated pages that speak to buyers actively writing evaluation criteria, defining audit scope requirements, or building vendor scorecards. Winning this stage means that Resonate Labs' own methodology becomes the benchmark against which all competitors are measured.
ChatGPT (high): ChatGPT returns exclusively educational No Vendor Mentioned responses for all Requirements Building queries, indicating it will cite well-structured evaluation-framework content. Claude (high): Claude is similarly vendor-neutral at this stage; structured checklist and framework content aligns with Claude's preference for authoritative reference material. Gemini (medium): Gemini cites 7-17 sources per Requirements Building query, pulling broadly from authoritative sources; on-domain evaluation guides would compete effectively. Perplexity (high): Perplexity already cites resonatelabs.co #5 overall and returned the single visible Requirements Building query — incremental evaluation-framework content is likely to expand this foothold.
Shortlisting is a high-intent buying job where buyers request specific vendor names to evaluate; a 0% visibility rate means Resonate Labs is structurally excluded from every shortlist AI engines generate. The winning vendors (Profound at 11 wins, Discovered Labs at 6, Animalz at 5 across invisible queries) have established citation patterns that Resonate Labs lacks entirely. The gap is rooted in the absence of content types that AI engines associate with shortlist-worthy vendors: category landing pages, feature-specific landing pages for each service line, and Comparison pages that establish Resonate Labs within the named competitive set.
ChatGPT (medium): ChatGPT returns named competitor shortlists consistently (Profound, Discovered Labs, Peec AI dominate) — breaking into these lists requires service-line pages that establish entity associations ChatGPT can pattern-match to Shortlisting queries. Claude (low): Claude shows 0% visibility for Resonate Labs across all Shortlisting queries and returns competitor names from its training data; gaining presence here likely requires sustained third-party citation volume rather than quick on-domain fixes. Gemini (medium): Gemini cites 2-13 sources per Shortlisting query; service-line landing pages with explicit entity naming are compatible with Gemini's citation behavior. Perplexity (high): Perplexity cites 14-15 sources per Shortlisting query and already has resonatelabs.co at #5 by domain citation rank — new service-line pages are most likely to generate immediate shortlist visibility on Perplexity.
Comparison queries represent the highest commercial intent in the buying journey — buyers are actively evaluating specific vendors and asking AI engines to adjudicate. Resonate Labs holds a positive head-to-head record against Discovered Labs (6W-4L) and wins outright against Omniscient Digital, Grizzle, Animalz, and Position Digital in co-occurrence queries, yet it is entirely absent when buyers ask AI engines to compare those same competitors. This creates a paradox: Resonate Labs wins when it appears, but AI engines do not surface it in Comparison contexts because dedicated Comparison pages do not exist. Comparison pages are the single content type most directly correlated with Comparison-query visibility.
ChatGPT (high): ChatGPT dominates Comparison-query wins (12/33 visible, 75% win rate in Comparison) — dedicated Comparison pages with explicit head-to-head framing align directly with ChatGPT's Comparison-response format. Claude (medium): Claude shows 30% win rate in Comparison queries when Resonate Labs appears; Comparison pages will increase the frequency of appearance, and Claude's structured response format is compatible with Comparison table content. Gemini (medium): Gemini shows 27% visibility in Comparison queries — the lowest among platforms — suggesting Comparison-page content needs high citation density and external link authority to break through. Perplexity (high): Perplexity shows 33% visibility in Comparison queries and already cites resonatelabs.co; Comparison pages are likely to be picked up quickly given existing domain trust.
Validation queries from unhappy competitor customers are among the highest-conversion traffic a GEO vendor can capture — a buyer asking 'what typically goes wrong with Discovered Labs retainers' is signaling intent to churn and is receptive to alternatives. Resonate Labs holds a 6-4 win record against Discovered Labs in co-occurrence, meaning it is a credible alternative that AI engines simply are not associating with these switch-intent queries. The missing content type is competitor-specific 'switching guide' and 'complaint response' pages that position Resonate Labs as the named alternative when buyers are ready to leave a competitor.
ChatGPT (medium): ChatGPT returns competitor-focused educational responses for Validation queries; switching-guide pages with explicit Resonate Labs positioning can break into these responses as the named alternative. Claude (low): Claude returns 0 visibility for Resonate Labs across all Validation queries; breaking in requires sustained third-party citation volume from review platforms and practitioner communities. Gemini (medium): Gemini cites 3-14 sources per Validation query; competitor-specific switching guide pages with high specificity are likely to be picked up. Perplexity (high): Perplexity cites 14-15 sources per Validation query and has existing domain trust for resonatelabs.co; switching-guide content is likely to generate immediate visibility.
Pipeline attribution is the single feature with the most cross-funnel invisibility and the clearest commercial stake: it is the argument that unlocks budget from CFOs and boards, the criterion that differentiates Resonate Labs from tool-only competitors, and the proof point that converts a trialing buyer into a retaining customer. The 'thin' coverage classification (rather than 'missing') means some pages touch the topic but fail to satisfy the depth AI engines require to cite them in response to attribution queries. A dedicated pipeline attribution content hub — with methodology, case study evidence, and CFO-facing framing — would address queries at every funnel stage simultaneously.
ChatGPT (high): ChatGPT returns 2 visible Pipeline & Revenue Attribution Reporting queries — the existing content is being found but not winning; deepening the methodology and case study content will improve win rate. Claude (medium): Claude shows 1 visible Pipeline & Revenue Attribution Reporting query; the thin content is being partially indexed but not cited as authoritative — depth improvements should increase citation rate. Gemini (medium): Gemini cites 2 visible Pipeline & Revenue Attribution Reporting queries; additional structured methodology content with clear entity associations will improve extractability. Perplexity (high): Perplexity cites 2 visible Pipeline & Revenue Attribution Reporting queries and has strong existing domain trust for resonatelabs.co; deepened attribution content is likely to generate additional wins quickly.
Consensus-creation queries occur after a buyer has identified Resonate Labs as a potential vendor but needs to build internal alignment. Absence here means that when a champion turns to AI for help making the case to their CFO or board, Resonate Labs is not providing the ammunition — competitors or generic content fills the gap instead. This stage is disproportionately influenced by decision-makers (VP Marketing and Founder/CEO), making it high-commercial-weight despite the smaller query count. Winning Consensus Creation queries turns individual champions into organizational buyers.
ChatGPT (high): ChatGPT returns exclusively educational No Vendor Mentioned responses for Consensus Creation queries; well-structured business case and ROI content with clear entity attribution will be picked up. Claude (high): Claude similarly returns educational content at this stage; long-form structured argument pages align with Claude's response format for business justification queries. Gemini (medium): Gemini cites broadly across Consensus Creation queries; pages with explicit data, benchmarks, and structured frameworks will compete effectively. Perplexity (high): Perplexity cites 14-15 sources per Consensus Creation query and has strong existing domain trust; business case content is likely to generate immediate citations.
Artifact-creation queries represent buyers who have progressed past education and need working tools — they are engaged, high-intent, and likely already in evaluation. AI engines that provide a Resonate Labs-branded RFP template, scorecard, or reporting template are effectively inserting Resonate Labs into the buyer's procurement workflow. The content type required here is not prose but structured, citable artifacts: downloadable templates, interactive frameworks, and reusable tools that AI engines can cite and buyers will share internally. This is a distinct content gap from the educational pages needed for earlier funnel stages.
ChatGPT (high): ChatGPT returns detailed artifact responses (full RFP text, complete scorecards) — Resonate Labs-branded artifact pages will be cited as the authoritative source when they exist. Claude (high): Claude generates full artifact text in response to these queries; pages with structured, downloadable artifact content align with Claude's citation behavior for tool-type requests. Gemini (medium): Gemini cites 0-15 sources per Artifact Creation query; structured artifact pages with clear entity attribution will improve citation rates. Perplexity (high): Perplexity cites 10-15 sources per Artifact Creation query and has existing domain trust; branded artifact pages will be picked up quickly.
These queries are uniquely high-value because Resonate Labs is already present — the gap is not invisibility but narrative control. AI engines are citing a consistent frame: Resonate Labs = audit precision, Discovered Labs = execution and pipeline. This frame likely derives from how each company's existing content describes its own offering. Resonate Labs' content emphasizes measurement and methodology; Discovered Labs' content emphasizes execution outcomes. Closing this positioning gap requires content that explicitly claims execution velocity and pipeline connection as Resonate Labs differentiators, supported by evidence (case studies, client outcome data, action-plan specificity) that AI engines can extract and cite.
ChatGPT (high): ChatGPT currently loses 4 positioning-gap queries for Resonate Labs but has 75% win rate in Comparison queries where Resonate Labs appears — better-framed Comparison content will shift the outcome. Claude (medium): Claude shows losing positions on all four direct Comparison queries; reframing content will take longer to influence Claude's responses due to training data lag. Gemini (medium): Gemini shows losing positions on direct Comparison queries; Comparison pages with high citation density and explicit entity associations will improve positioning over time. Perplexity (high): Perplexity shows losing positions on direct Comparison queries but already has strong domain trust; updated Comparison content is likely to be re-indexed quickly.
AI engines cite authoritative third-party sources to validate claims and provide evidence; a brand that appears only on its own domain is perceived as less authoritative than one cited across multiple independent sources. Resonate Labs' 86 domain citations rank #5 overall, but the top-cited competitor domain (discoveredlabs.com, 214 citations) outpaces Resonate Labs by 2.5x. The three zero-presence high-citation domains represent the fastest path to closing the citation gap: arxiv.org for methodology credibility, Reddit for community authority, and YouTube for educational video content that AI engines increasingly cite. This is not a content-creation gap but a distribution and format gap — content exists or can be adapted, but it needs to reach these platforms.
ChatGPT (medium): ChatGPT's training data heavily weights arxiv.org and similar research-adjacent sources; a published methodology paper would improve ChatGPT's association of Resonate Labs with authoritative GEO research. Claude (high): Claude has the lowest overall visibility for Resonate Labs (6.7%) and relies heavily on training data from high-authority sources like arxiv and major publications; third-party citations are the primary lever for improving Claude visibility. Gemini (medium): Gemini cites YouTube and Google-adjacent sources heavily; a YouTube presence with properly structured video descriptions and Google indexing would directly improve Gemini citation rates. Perplexity (high): Perplexity already has the highest Resonate Labs visibility (9.9%) and cites diverse sources in real-time; Reddit and YouTube content would be picked up rapidly given Perplexity's live-crawling behavior.
All recommendations across all three layers, ranked by commercial impact × implementation speed.
Analysis is based on rendered markdown from web_fetch, which does not expose JSON-LD blocks. We could not confirm whether pages carry the most specific applicable schema (Organization on the homepage, Article on blog/methodology pages, FAQPage on the many pages with FAQ sections, BreadcrumbList on hub-and-spoke clusters). The site itself teaches schema as a GEO signal (see /technical-geo-checklist/), so confirming it practices what it recommends matters.
Resonate Labs is invisible across 26 of the 33 Comparison-stage queries routed to L3 (79% invisible). In every Comparison query where two named competitors are evaluated head-to-head, Resonate Labs is not mentioned — not even as a third alternative. The winning Comparison responses are dominated by Profound, Discovered Labs, Animalz, and Omniscient Digital.
Resonate Labs is invisible across all 13 Problem Identification queries (100% invisibility rate, 13/13) and all 15 Solution Exploration queries (100%, 15/15). No existing page addresses the top-of-funnel buyer who is diagnosing why they are missing from AI answers before they know what to buy.
Resonate Labs is invisible across 14 of 15 Requirements Building queries (93.3% invisibility rate, 14/15). Every query in this cluster — covering must-have criteria, RFP structure, audit scope, and vendor evaluation frameworks — returns educational responses with no Resonate Labs mention.
Resonate Labs is invisible across all 26 Shortlisting queries (0% visibility, 26/26). AI engines return named competitor recommendations — Profound, Discovered Labs, Peec AI, Scrunch AI, Animalz, Omniscient Digital — but never include Resonate Labs, even when the query directly asks for the category Resonate Labs serves.
Resonate Labs is invisible across all 22 Validation-stage queries routed to L3 (100% invisible, 22/22). These queries express active dissatisfaction with named competitors (Discovered Labs, Animalz, Omniscient Digital, Grizzle, Profound, Scrunch AI, Peec AI, Position Digital) and represent buyers who are actively looking to switch — yet Resonate Labs is never surfaced as the alternative.
Resonate Labs is invisible across 9 of 9 Artifact Creation queries routed to L3 (100% invisible, 9/9). Buyers requesting RFP templates, vendor scorecards, quarterly reporting templates, content briefs, and TCO models receive generic educational artifacts with no Resonate Labs mention — and no Resonate Labs-branded downloadable tools to cite.
Resonate Labs is invisible across all 12 Consensus Creation queries (100% invisible, 12/12) covering ROI arguments, payback period analysis, leadership framing, and internal buy-in strategies. No existing page addresses the buying stage where a champion must convince a CFO, board, or executive team to approve a GEO investment.
https://resonatelabs.co/compare/geo-agencies likely contains general agency comparisons but does not have a dedicated Discovered Labs vs. Resonate Labs ROI reporting Comparison section with CFO-level framing — the specific Comparison res_101 buyers are evaluating.
https://resonatelabs.co/compare/geo-agencies is cited 6 times in buyer queries but the metric routing assigns res_074 and res_086 to action-plan methodology pages rather than the compare page — indicating the compare page does not contain the specific 'Resonate Labs vs. Discovered Labs' named Comparison content that these queries require.
https://resonatelabs.co/sample-action-plan/ presents a sample artifact but does not contain a commercial positioning statement explicitly differentiating Resonate Labs from 'dashboard-only tracking tools' (Profound, Peec AI, Scrunch) — the specific differentiation that res_045 buyers are evaluating when they ask for 'a prioritized action plan, not just a dashboard.'
https://resonatelabs.co/compare/geo-agencies does not appear in the matched URLs for res_104, res_119, or res_122, indicating it lacks the specific competitor-risk content (Discovered Labs budget risks for startups, GEO retainer failure modes, Position Digital warning signs) that these buyer queries require.
https://resonatelabs.co/compare/geo-agencies exists and is cited 6 times in buyer queries, but it does not appear in the L2 matched URLs for res_103 and res_108 — indicating the page likely does not contain specific Discovered Labs complaint language or Position Digital implementation-failure framing that would match these buyer queries.
https://resonatelabs.co/compare/geo-agencies exists but does not appear to contain a structured vendor scorecard with AI share-of-voice measurement criteria that would allow AI engines to cite Resonate Labs as the productized GEO audit option in a three-way Comparison with Discovered Labs and Omniscient Digital.
The Pipeline & Revenue Attribution Reporting feature has 'thin' coverage status across every query touching it (10 queries flagged as thin across Problem Identification, Solution Exploration, Requirements Building, Shortlisting, Validation, Consensus Creation, and Artifact Creation). Resonate Labs has 0 wins across all 13 Pipeline & Revenue Attribution Reporting queries despite appearing in 2 of them — the visibility-to-win gap indicates content that mentions attribution but does not answer the question.
Resonate Labs is present but loses in 4 positioning-gap queries (res_074, res_086, res_101, res_074) where AI engines directly compare Resonate Labs against Discovered Labs. In all four, Discovered Labs wins on 'clearer 30-day action plan' and 'better pipeline connection' while Resonate Labs is positioned as the secondary choice for 'budget-constrained' or 'audit-only' use cases.
The three highest-cited third-party domains in the audit corpus — arxiv.org (208 citations), reddit.com (160 citations), and youtube.com (73 citations) — have zero Resonate Labs presence. Combined, these three domains account for 441 citations across buyer queries; Resonate Labs' own domain has 86 citations (rank #5). Closing even a fraction of this gap would materially increase citation surface area across all funnel stages.
https://resonatelabs.co/for/content-leaders/ addresses content team concerns but does not contain a structured 'outsource GEO vs. build in-house' decision framework — the specific decision point res_021 buyers are researching — so AI engines have no Resonate Labs-attributed passage for this query pattern.
https://resonatelabs.co/sample-action-plan/ functions as a document artifact download or preview but does not contain extractable prose explaining what Resonate Labs' action plan methodology includes, how it is structured across 30 days, and why it differs from a monitoring dashboard — the exact information buyers in res_031, res_040, and res_045 are asking for.
https://resonatelabs.co/what-is-geo/ is structured as an educational explainer about GEO as a discipline — it does not assert that Resonate Labs is a named provider capable of fixing AI invisibility for B2B SaaS teams, so AI engines have no hook to cite Resonate Labs in agency shortlist responses.
https://resonatelabs.co/ does not contain a structured, self-contained section answering 'what should a B2B SaaS marketing team do first about AI invisibility?' — the homepage is positioned as a service entry point, not as a problem-diagnostic resource, so AI engines have no Resonate Labs-attributed passage to surface in educational problem-identification responses.
https://resonatelabs.co/sample-action-plan/ is currently cited in buyer queries but Resonate Labs loses the positioning — the page is referenced but not recommended as the primary template source, indicating the page is visible but the content is not structured as an authoritative, freely accessible template that AI engines would recommend first.
https://resonatelabs.co/compare/geo-agencies exists and is cited in buyer queries but does not contain a specific Omniscient Digital vs. Resonate Labs productized audit Comparison with startup-value framing — the exact Comparison res_080 buyers are making.
https://resonatelabs.co/sample-action-plan/ presents a sample deliverable but does not contain a structured evaluation criteria framework that marketing leaders could use to assess action-plan quality across GEO providers — leaving AI engines with no Resonate Labs-attributed criteria framework for res_142.
https://resonatelabs.co/for/executives/ contains marketing language about AI visibility benefits but does not include a structured payback period framework or ROI timeline specific to mid-market B2B SaaS companies — the financial specificity res_130 buyers require.
https://resonatelabs.co/for/executives/ is positioned as a buyer-entry page but does not contain structured ROI or payback period data that CMOs and VPs of Marketing need to justify GEO investment to a CFO — the specific information res_130 buyers are searching for.
https://resonatelabs.co/what-is-geo/ does not contain a structured 'how to measure whether AI is recommending you' methodology section that AI engines could extract and attribute to Resonate Labs — the specific question res_002 asks, and the entry point for demand-gen leads entering the GEO buying journey.
https://resonatelabs.co/what-is-geo/ explains GEO as a discipline but does not contain a section explicitly addressing why B2B SaaS companies with strong SEO rankings remain invisible in AI answers — the specific gap res_013 founders are asking about, and the most common misconception in the category.
https://resonatelabs.co/brief/ is likely a brief intake or checkout page with minimal content — it does not contain a structured evaluation framework or RFP criteria that would give AI engines a Resonate Labs-attributed reference for buyers building GEO vendor evaluation artifacts.
The 'Start your audit' link in the homepage navigation points to /start/, which returned roughly 15 words, no H1/H2 structure, and reads as a checkout/redirect shim (a cart parameter is referenced). It is not listed in any of the seven child sitemaps but is publicly linked and therefore crawlable.
robots.txt exists and explicitly allow-lists every major AI crawler with Allow: / — GPTBot, ChatGPT-User, OAI-SearchBot, ClaudeBot, Claude-User, Claude-SearchBot, anthropic-ai, PerplexityBot, Perplexity-User, Google-Extended, Applebot-Extended, Amazonbot, meta-externalagent, cohere-ai, MistralAI-User, CCBot, and DuckAssistBot — in addition to a wildcard 'User-agent: * / Allow: /'. A comment documents the intent to keep AI access open against future managed-robots overrides. The sitemap is referenced from robots.txt.
Every fetched page returned its full body content (headings, prose, tables, FAQs) as rendered markdown, which is consistent with server-side rendering and indicates low client-side-rendering risk. However, web_fetch executes rendering, so we cannot definitively confirm the raw HTML response contains primary content without JavaScript.
Meta descriptions and Open Graph / social-card tags are not visible in rendered markdown and could not be assessed through our method.
All three workstreams can start this week.
[Data] Total recommendations: 33, targeting 147 queries where the client is currently invisible. L1: 5 recommendations (1 fix + 4 verification checks). L2: 18 recommendations addressing 24 gap queries with existing page coverage.
L3: 10 recommendations targeting 118 gap queries with no current content. Early-funnel gap queries targeted by L3: the majority of 118, spanning problem identification, solution exploration, requirements building, Shortlisting, Validation, and consensus creation.
[Synthesis] The 33 recommendations are sequenced by dependency, not just priority. L1 runs first because schema markup and rendering verification determine whether new and optimized pages are correctly parsed by AI crawlers — shipping L2/L3 content before confirming crawlability risks new pages inheriting the same invisibility as existing ones. L2 runs before L3 because existing pages with crawler access already have citation history and can be upgraded faster than new pages can be indexed.
L3 content, which targets 118 queries representing the bulk of the early-funnel gap, creates the discovery-stage presence that currently does not exist.