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 has a discovery deficit, not a persuasion deficit — the data reveals why the brand disappears before buyers reach the queries it excels at.
[Mechanism] The root cause is a content architecture built for buyers who already know what GEO is and are ready to compare vendors — not for buyers still diagnosing whether they have a problem. Early-funnel queries about problem identification, solution exploration, and requirements building return 88.4% invisibility (38/43 queries) because no content is structured around the questions buyers ask at those stages. Late-funnel comparison and shortlisting queries perform better because existing pages directly address vendor names and feature comparisons, giving AI engines extractable signals.
The Gemini-specific underperformance (6.7% vs. 16% on Perplexity) suggests rendering or structured-data gaps that prevent Google's AI from parsing content that other engines can access. Two feature areas — continuous monitoring and team enablement — have thin or absent content across the entire site, creating the 31 L3 gaps where competitors win without a contest.
[Synthesis] L1 technical verifications must execute before L2 and L3 work because unconfirmed JSON-LD structured data and unverified server-side rendering mean new or optimized content may not be correctly parsed by AI crawlers. Specifically, FAQPage schema on existing pages — already structurally ideal candidates — must be confirmed present before L2 edits to those pages can generate citation-ready passages; and SSR confirmation on key templates must precede L3 page creation so new content is indexable from launch.
Where Resonate Labs appears and where it doesn't — across personas, buying jobs, and platforms.
[TL;DR] Resonate Labs is visible in 16% of buyer queries and wins 50% of those. The primary challenge is getting visible in the first place.
Resonate Labs is competitive when it appears but invisible during the 43 early-funnel queries where buyer shortlists are formed — closing that 88.4% early-funnel gap is the primary commercial objective of this audit.
| Dimension | Combined |
|---|---|
| All Queries | 16% |
| By Persona | |
| Head of Content Marketing | 0% |
| Director of Demand Generation / Growth Marketing | 9.4% |
| Founder / CEO | 23.1% |
| Head of SEO / Organic Growth | 18.8% |
| VP of Marketing / CMO | 23.7% |
| By Buying Job | |
| Artifact Creation | 8.3% |
| Comparison | 45.5% |
| Consensus Creation | 16.7% |
| Problem Identification | 0% |
| Requirements Building | 20% |
| Shortlisting | 3.9% |
| Solution Exploration | 13.3% |
| Validation | 0% |
[Data] Overall visibility: 16% (24/150 queries). High-intent visibility: 19.3% (16/83 high-intent queries). High-intent win rate: 68.75% (11/16 visible high-intent queries).
Worst buying job: problem identification — 0% (0/13). Worst persona: Head of Content Marketing — 0% (0/22). Best persona: VP of Marketing / CMO — 23.7% (9/38).
Perplexity leads platforms at 16% (24/150); Gemini trails at 6.7% (10/150). Platform delta: 9pp (Gemini lower).
[Synthesis] The visibility pattern reveals a funnel that is inverted relative to where it should be strong. Resonate Labs is nearly absent during the 43 early-stage queries where buyers are diagnosing problems and building requirements — the exact conversations that determine shortlists — yet it converts at a 68.75% rate (11/16 visible high-intent queries) when it does appear in Comparison and Shortlisting queries. The 9pp platform gap between Perplexity and Gemini signals that the content infrastructure is not uniformly indexable, which L1 fixes address first.
38 queries won by named competitors · 29 no clear winner · 59 no vendor mentioned
Sorted by competitive damage — competitor-winning queries first.
| ID | Query | Persona | Stage | Winner |
|---|---|---|---|---|
| ⚑ Competitor Wins — 38 queries where a named competitor captures the buyer | ||||
| 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_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 | 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 | Peec AI |
| 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_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_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 | Omniscient Digital |
| 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_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 | Profound |
Remaining competitor wins: Discovered Labs ×6, Profound ×6, Omniscient Digital ×5, Peec AI ×3, Scrunch AI ×3, Animalz ×2, Position Digital ×2, Grizzle ×1. 29 queries with no clear winner. 59 queries with no vendor mentioned. Full query-level data available in the analysis export.
| ID | Query | Persona | Stage | Winner |
|---|---|---|---|---|
| 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_058 | "Switching from our content agency to a GEO-focused one — best options that handle AI-optimized production?" | Head of Content Marketing | Shortlisting | Animalz |
| 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_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 | Omniscient Digital |
| 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_066 | "Leading GEO agencies for SaaS brands that are invisible in AI answers but strong in traditional search" | VP of Marketing / CMO | Shortlisting | Discovered Labs |
| 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 | Scrunch AI |
| 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 | Omniscient Digital |
| 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_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 | Grizzle |
| res_095 | "Discovered Labs vs Omniscient Digital — which better upskills an internal marketing team on GEO?" | VP of Marketing / CMO | Comparison | Discovered Labs |
| 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_103 | "We're on Discovered Labs and reconsidering — what do B2B SaaS clients complain about?" | VP of Marketing / CMO | Validation | Discovered Labs |
| res_111 | "Does Discovered Labs actually prove pipeline impact, or just citation counts?" | VP of Marketing / CMO | Validation | Discovered Labs |
| res_112 | "Scrunch AI accuracy concerns — how reliable is its AI mention tracking for a SaaS category?" | Head of SEO / Organic Growth | Validation | Profound |
| 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_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_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 |
| 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 | Position Digital |
| 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_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 Vendor Mentioned |
| 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_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 Vendor Mentioned |
| 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_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 |
| 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_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 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_048 | "Top GEO consultants for an early-stage B2B SaaS startup with no in-house AI search expertise" | Founder / CEO | 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_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_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 | No Clear Winner |
| res_065 | "Moving off Otterly for something more actionable — best AI visibility platforms with execution support?" | Head of SEO / Organic Growth | 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_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 | 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_083 | "Discovered Labs vs Profound — agency-led AI visibility versus a self-serve tracking tool" | Director of Demand Generation / Growth 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_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 | 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_106 | "We currently retain Animalz — hidden costs of their retainers that mid-market marketing teams don't expect?" | VP of Marketing / CMO | Validation | No Clear Winner |
| res_107 | "Grizzle GEO results — does the AI visibility actually improve or just the reporting?" | Director of Demand Generation / Growth Marketing | Validation | No Clear Winner |
| res_108 | "Position Digital implementation problems for early-stage SaaS companies" | Founder / CEO | Validation | No Vendor Mentioned |
| 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_114 | "Will Discovered Labs leave my team able to run GEO, or dependent on them?" | Founder / CEO | 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_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 | 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_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 |
| 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_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 |
Queries where Resonate Labs is mentioned but a competitor is positioned more favorably.
| ID | Query | Persona | Buying Job | Winner | Resonate Labs Position |
|---|---|---|---|---|---|
| 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 | Mentioned In List |
| 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 | Mentioned In List |
| 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 | Brief Mention |
| 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 | Brief Mention |
| 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 | Brief Mention |
| 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 | No Clear Winner | Strong 2nd |
| res_080 | "Hiring Omniscient Digital versus a productized GEO audit — what's better value for a startup?" | Founder / CEO | Comparison | No Clear Winner | Brief Mention |
| 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_097 | "Thinking of switching from Discovered Labs to Resonate Labs — what's the difference for a startup?" | Founder / CEO | Comparison | Discovered Labs | Strong 2nd |
| 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 | Brief Mention |
| ID | Query | Persona | Buying Job | Winner | Resonate Labs Position |
|---|---|---|---|---|---|
| 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 | Mentioned In List |
| 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 Vendor Mentioned | Brief Mention |
Who’s winning when Resonate Labs isn’t — and who controls the narrative at each buying stage.
[TL;DR] Resonate Labs wins 8% of queries (12/150), ranks #6 in SOV — H2H record: 14W–6L across 9 competitors.
A 6th-place SOV rank and 8% unconditional win rate (12/150) understate the opportunity: nearly half of invisible queries (58/126) have no AI coverage at all, meaning the competitive fight is for white space, not entrenched incumbents.
| Company | Mentions | Share |
|---|---|---|
| Discovered Labs | 53 | 17.6% |
| Profound | 51 | 16.9% |
| Peec AI | 36 | 12% |
| Omniscient Digital | 33 | 11% |
| Otterly.ai | 30 | 10% |
| Resonate Labs | 24 | 8% |
| Scrunch AI | 20 | 6.6% |
| Grizzle | 19 | 6.3% |
| Animalz | 19 | 6.3% |
| Position Digital | 16 | 5.3% |
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 126 queries where Resonate Labs is completely absent:
Vendors appearing in responses not in Resonate Labs’s defined competitive set.
[Data] SOV rank: 6th (24 mentions, 8% share). Discovered Labs leads at 17.6% share (53 mentions). Head-to-head records: vs.
Discovered Labs 5-4-3 (12 co-occurrences); vs. Omniscient Digital 2-0-3; vs. Profound 1-0-5.
Overall unconditional win rate: 8% (12/150). Of 126 invisible queries, 58 (46%) had no AI coverage at all; 30 (24%) had no clear winner — meaning market share is genuinely uncontested in many conversations.
[Synthesis] The SOV rank of 6th understates the competitive opportunity. Query-level win rate measures how often the client wins across all buyer questions; H2H records measure only the subset of queries where both the client and a specific competitor appear together. The positive 5-4 H2H record against Discovered Labs shows the client wins those specific matchups more often than it loses, but the low 8% unconditional win rate (12/150) reflects how rarely those co-occurrence opportunities arise.
Nearly half of invisible queries (58/126) involve no AI coverage at all — these are structurally winnable positions requiring new content, not head-to-head battles.
What AI reads and trusts in this category.
[TL;DR] Resonate Labs had 26 unique pages cited across buyer queries, ranking #3 among all cited domains. 10 high-authority domains cite competitors but not Resonate Labs.
The #3 domain citation rank confirms AI engines trust the site when they find relevant content — the credibility foundation exists, and the 27 recommendations build the coverage breadth needed to activate it across more buyer queries.
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] Resonate Labs: 26 unique pages cited; resonatelabs.co ranks 3rd among all cited domains with 105 citation instances. discoveredlabs.com leads with 204 citation instances. Third-party gap: arxiv.org cited 176 times with no client presence; reddit.com cited 49 times with no client presence; youtube.com cited 46 times with no client presence. 10 high-authority third-party domains cited frequently with no Resonate Labs presence.
[Synthesis] The #3 domain rank confirms that when AI engines find Resonate Labs content, they cite it repeatedly — the extraction quality is already competitive. The gap is in coverage breadth: 26 unique pages cited means most of the site's content inventory never appears in any AI response. The third-party citation gaps at arxiv.org, Reddit, and YouTube represent earned-media and community signals that Resonate Labs has not yet activated, limiting the corroborating authority that AI engines use to validate vendor recommendations.
Three layers of recommendations ranked by commercial impact and implementation speed.
[TL;DR] 30 priority recommendations (plus 1 near-rebuild optimizations) targeting 138 gap queries (126 invisible, 12 positioning gaps). 1 L1 technical fixes + 3 verification checks, 18 content optimizations (L2), 8 new content initiatives (L3).
Twenty-seven recommendations in three sequenced layers — technical verification first, then 18 content optimizations on existing pages, then 4 new pages for uncovered topics — address the 142 queries where Resonate Labs is currently invisible.
Reading the priority numbers: Recommendations are ranked 1–30 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 | Structured-data (JSON-LD) coverage could not be verified from rendered output | Medium | 1-3 days |
Items requiring manual review before determining if action is needed.
| Priority | Finding | Impact | Timeline |
|---|---|---|---|
| #28 | Client-side-rendering status not directly confirmed (no evidence of a problem) | Low | < 1 day |
| #29 | Meta descriptions and Open Graph tags could not be assessed | Low | < 1 day |
| #30 | Repeated generic H3 labels on the illustrative sample pages dilute passage labeling | Low | < 1 day |
Click any row to expand full issue/fix detail.
Existing pages that need restructuring or deepening. Owner: Content Team. Timeline: Weeks.
The /how-we-measure-geo/ page does not address 'Resonate Labs vs. Discovered Labs for pipeline attribution' — the direct Comparison of res_086 — because it describes methodology in isolation, not as a competitive differentiator. The /business-case-for-geo/ page covers pipeline attribution arguments but does not compare Resonate Labs' methodology to Discovered Labs' tracking-focused approach — leaving the Comparison question unanswered. The /for/demand-gen/ page addresses demand gen personas but has no 'switching from Discovered Labs' section that answers what is different about the Resonate Labs approach for startups (res_097).
Queries affected: res_086, res_097
The /atomic-content/ page describes atomic content principles but does not name Resonate Labs as the provider of page templates built on these principles — buyers cannot identify it as a service offering page. The /atomic-content/ page lacks a named template library or template type taxonomy (e.g., 'Comparison page archetype,' 'pain-point page archetype,' 'how-it-works page archetype') that buyers can cite as a deliverable when evaluating GEO services for content teams. The /technical-geo-checklist/ page is structured as a self-service checklist but has no section explaining how Resonate Labs applies the checklist as part of its content deployment SOP — the service-to-deliverable connection buyers need for Requirements Building queries.
Queries affected: res_052, res_004, res_015, res_023, res_034, res_063, res_116, res_147
The /business-case-for-geo/ page argues for GEO investment in general terms but contains no section attributing pipeline outcomes to Resonate Labs specifically — buyers cannot extract a vendor recommendation from it. The /business-case-for-geo/ page lacks a named attribution methodology (e.g., 'how Resonate Labs connects AI citation lift to pipeline') with a described mechanism — the specific content that would let AI engines cite it as an answer to res_053 and res_111. The /limits-of-geo/ page acknowledges measurement constraints but does not contrast those constraints with what Resonate Labs' methodology can measure — leaving the page as a generic disclaimer rather than a differentiator.
Queries affected: res_053, res_011, res_025, res_067, res_111, res_131, res_138, res_141, res_124
The /compare/geo-delivery-models/ page compares delivery model categories (done-for-you, done-with-you, tool-only) but does not name Grizzle, Animalz, or Omniscient Digital as examples within each model — leaving buyers who arrive from queries like res_072, res_076, and res_087 without the direct competitor Comparison they need. The /compare/geo-delivery-models/ page has no section addressing 'what goes wrong with traditional content agencies for B2B SaaS' — the Validation query frame of res_105, res_106, res_110, res_120, and res_125 — so it cannot intercept buyers actively churning from competitors. The /compare/geo-delivery-models/ page lacks outcome data or named case evidence that a done-for-you GEO content approach outperforms a traditional agency on AI citation rates — the commercial claim buyers need to justify switching.
Queries affected: res_047, res_058, res_072, res_076, res_087, res_009, res_017, res_028, res_032, res_039, res_068, res_094, res_105, res_106, res_110, res_120, res_125, res_137
The /compare/resonate-vs-omniscient-digital/ page covers agency Comparison at a high level but does not have a section addressing 'what clients complain about with Omniscient Digital' (res_123) — the Validation query frame that accounts for 3 of these 6 gaps. The /compare/resonate-vs-omniscient-digital/ page does not contain a content execution Comparison row — how each agency produces and deploys GEO content — despite content execution being the feature focus of res_072, res_076, and res_087. The /compare/resonate-vs-omniscient-digital/ page lacks an 'is it worth the premium' section that addresses the mid-market SaaS retention question of res_115 and the 'why teams churn' framing of res_123.
Queries affected: res_072, res_076, res_087, res_103, res_113, res_123
The /for/content-leaders/ page describes the Resonate Labs engagement for content teams but has no section addressing 'what goes wrong with competitor content agencies for GEO' — the Validation query framing of res_116 (Grizzle complaints) and the broader content lead churn pattern. The /for/content-leaders/ page does not include a content brief template section or describe the brief format Resonate Labs provides — the artifact buyers need when evaluating whether the deployment playbook is genuinely reusable (res_147, res_034). The /for/content-leaders/ page lacks a 'GEO partner evaluation criteria' section specific to content teams — answering res_034 ('evaluation criteria for a GEO service that gives my team a repeatable page playbook') from the content lead's perspective.
Queries affected: res_116, res_147, res_063, res_034
The /switch/from-seo-agency/ page is designed to capture switching intent but does not address the 'agency vs. tracking tool' decision frame of res_014 — buyers who have a tool and are considering adding an agency. The /switch/from-seo-agency/ page lacks a named decision framework for 'when to hire a GEO agency vs. keep your tracking tool' — the exact question of res_014, which has Resonate Labs in a losing position on Perplexity. The /for/executives/ page addresses executive buyers but has no CFO-ready ROI framework section answering 'what should a seed-stage SaaS require from a GEO vendor to tie work to pipeline' (res_035).
Queries affected: res_014, res_022, res_035, res_041, res_042, res_127
The /how-we-measure-geo/ page defines measurement methodology but has no section explicitly titled 'AI share-of-voice benchmarking' with a named definition and methodology — the exact phrase buyers use in Shortlisting queries like res_050 and res_064. The /how-we-measure-geo/ page does not compare Resonate Labs' SOV methodology to self-serve tools (Profound, Scrunch AI, Peec AI) — the competitive frame of 7 of these 13 gap queries. The /geo-metrics-glossary/ page defines terms but does not include a named entry for 'AI share of voice' with a Resonate Labs-attributed definition — leaving the glossary as a generic reference rather than a vendor-positioning asset.
Queries affected: res_050, res_057, res_064, res_005, res_024, res_036, res_115, res_121, res_129, res_135, res_140, res_144, res_107
The /how-we-measure-geo/ page describes the measurement methodology in general terms but contains no structured Comparison of how Resonate Labs' four-platform coverage (ChatGPT, Claude, Gemini, Perplexity) differs from single-engine or tool-only approaches used by Discovered Labs or Peec AI. The /how-we-measure-geo/ page has no extractable claim block answering 'why choose Resonate Labs over a tracking tool' — the primary question behind 15 of these gap queries. The /sample-report/ page shows deliverable output but lacks a before/after framing or a named outcome statement that AI engines can extract as evidence of vendor value.
Queries affected: res_044, res_054, res_059, res_066, res_001, res_002, res_003, res_008, res_013, res_026, res_029, res_033, res_103, res_113, res_123, res_128, res_136, res_139, res_150
The /sample-action-plan/ page presents sample deliverable content but has no introductory section explaining the commercial case for a prioritized action plan versus dashboard-only tools — leaving buyers who arrive from Shortlisting queries without a conversion-oriented passage. The /sample-action-plan/ page uses repeated generic H3 labels ('What this is and what to check') identified in the L1 findings, which dilutes passage labeling and reduces AI extractability for the specific sections buyers want to cite. The /sample-action-plan/ page has no Comparison frame showing how Resonate Labs' action plan differs from what Omniscient Digital or Discovered Labs delivers — the direct competitive context of queries like res_045 and res_062.
Queries affected: res_045, res_062, res_006, res_031, res_040, res_048, res_130, res_134, res_142, res_145
The /what-drives-ai-citation/ page explains citation factors in general terms but has no section connecting those factors to Resonate Labs' audit deliverables — buyers reading it cannot infer that Resonate Labs is the provider who surfaces this data. The /what-drives-ai-citation/ page lacks a structured checklist or named framework that AI engines can extract as a 'what a citation source analysis should include' answer for Requirements Building queries like res_030 and res_043. The /what-drives-ai-citation/ page has no Comparison claim distinguishing Resonate Labs' citation analysis from tracking-tool outputs (Scrunch AI, Peec AI) — the competitive frame of res_046 and res_112.
Queries affected: res_046, res_061, res_007, res_019, res_030, res_043, res_112, res_126, res_143
The /compare/geo-vendor-rfp/ page addresses vendor evaluation but is not structured as a copyable RFP template with named sections — so when AI engines receive res_139 ('draft an RFP for a GEO audit service'), they produce their own template rather than citing this page. The /compare/geo-vendor-rfp/ page does not include a vendor Comparison scorecard matrix with named criteria and scoring rows — the artifact format res_140 ('create a vendor Comparison scorecard for Discovered Labs, Omniscient Digital') needs. The homepage (/) lacks a structured FAQ section that answers 'what evaluation criteria should a marketing leader use to choose a GEO partner' (res_142) — a question whose answer lives implicitly across multiple pages but has no single extractable home.
Queries affected: res_139, res_142, res_145, res_148, res_140, res_144
The /business-case-for-geo/ page makes a general case for GEO investment but does not include a named payback period estimate or ROI timeline benchmark — the specific content res_130 ('typical payback period for a GEO program') needs. The /business-case-for-geo/ page lacks a competitive urgency section framing 'what happens if you wait another year while competitors establish AI citation patterns' — the content res_128 and res_134 need for the risk-mitigation argument. The /defensive-geo/ page addresses brand protection but does not include a 'how to frame this for leadership' section that marketing leaders can use to build internal consensus — the content res_129 and res_135 need.
Queries affected: res_128, res_129, res_130, res_131, res_133, res_134, res_135, res_138
The /what-is-geo/ page defines GEO comprehensively but has no vendor positioning section explaining that Resonate Labs offers GEO services — a buyer reading this page cannot infer they should hire Resonate Labs. The /geo-vs-seo/ page explains differences between GEO and SEO but has no section on 'what to do next' or 'how to get GEO done' that routes buyers to Resonate Labs' service offering. The /does-geo-help-seo/ page addresses the relationship between GEO and SEO but lacks a solution exploration frame for 'is GEO something a startup should outsource or build internally' (res_021) — the key decision buyers face at this stage.
Queries affected: res_015, res_019, res_021, res_023, res_024, res_025, res_027, res_028
The /geo-white-paper/ page provides technical depth but has no section addressing 'how accurate are AI visibility audits and can the citation data be trusted' (res_126) — the Validation concern that produces 0% visibility for this query. The /geo-metrics-glossary/ page defines metrics but does not explain the reliability or confidence level of each metric — leaving buyers without the accuracy Validation content res_126 needs. The /technical-geo-checklist/ page describes technical requirements but is not structured as a vendor questionnaire — so when AI engines receive res_143 ('create a questionnaire for GEO vendors about citation source identification'), they produce generic templates rather than citing Resonate Labs.
Queries affected: res_112, res_126, res_143, res_030, res_043
The /how-queries-are-generated/ page explains how AI visibility audits generate buyer queries in general terms but does not name Resonate Labs' specific methodology or distinguish it from Profound's query library or Scrunch AI's keyword-tracking approach. The /how-queries-are-generated/ page lacks a Comparison between persona-based query modeling (the Resonate Labs approach) and keyword-list tracking (the tool-default approach) — the exact distinction buyers are probing in res_041 and res_069. The /sample-foundation-review/ page shows a foundation review deliverable but has no section explaining how buyer-intent queries are selected for each client — leaving the methodology implicit rather than explicitly claimed.
Queries affected: res_069, res_096, res_012, res_020, res_041, res_148
The /how-we-measure-geo/ page describes measurement methodology but has no section on audit cadence or recurring reporting — buyers asking 'best GEO providers offering recurring audits' (res_056) find no Resonate Labs claim about ongoing tracking frequency. The /how-we-measure-geo/ page does not address 'what changes between audits' or 'how AI answers shift over time' — the precise concern of res_010 and res_117, which ask about temporal tracking and staleness prevention. The /pricing/ page may include recurring audit options but is not structured to answer 'what should recurring GEO reporting include' — the Requirements Building question of res_042 and res_133.
Queries affected: res_056, res_010, res_042, res_133, res_117, res_146
The /platform-divergence/ page addresses platform differences but does not frame the problem that buyers experiencing organic traffic decline (res_003) are facing — 'AI overviews are answering everything and I don't know what to do.' The /platform-divergence/ page has no section answering 'how do B2B SaaS teams figure out whether AI assistants are recommending them' (res_002) — the foundational problem identification question with 100% invisibility. The individual /show-up-in-chatgpt/, /show-up-in-perplexity/, etc. pages address one platform each but have no cross-platform problem framing section — buyers asking about overall AI visibility approach cannot extract a Resonate Labs answer from a single-platform page.
Queries affected: res_003, res_026, res_002, res_001, res_008, res_013
Net new content addressing visibility and positioning gaps. Owner: Content Strategy. Timeline: Months.
Buyers actively comparing monitoring tools (Profound, Peec AI, Scrunch, Otterly.ai) and evaluating whether to upgrade to an agency engagement represent high-intent, late-funnel prospects. Resonate Labs is entirely absent from all 12 queries in this cluster, ceding ground to Profound, Peec AI, and Scrunch on the precise queries where a tool-vs-agency positioning argument would close deals. With 0% visibility across ChatGPT, Claude, Gemini, and Perplexity on these queries, and Continuous / Real-Time AI Visibility Tracking rated as a weak-coverage feature in the taxonomy, this represents the single most actionable content type deficit in the audit.
ChatGPT (high): ChatGPT explicitly recommends Peec AI and Profound as primary answers on tracker-Comparison queries (res_051, res_079, res_098) — structured Comparison content with clear verdicts matches ChatGPT's recommendation pattern. Claude (medium): Claude returns 0 citations on most Continuous / Real-Time AI Visibility Tracking queries (res_016, res_027, res_038 show citation_count=0 on Claude) — indicates Claude is not indexing any relevant content, making new authoritative pages a greenfield opportunity. Gemini (medium): Gemini cites 3–13 sources on these queries but none from resonatelabs.co — existing third-party citation density suggests Gemini will surface new on-domain content if it earns inbound links from already-cited domains. Perplexity (high): Perplexity cites 10–15 sources per query in this cluster and already ranks resonatelabs.co in adjacent queries — new pages with clear answer structures are likely to be cited given Perplexity's broad citation behavior.
Queries about team upskilling, done-with-you GEO engagements, and escaping vendor dependency represent a distinct buyer segment — marketing leaders who have been burned by opaque retainers and want to build internal capability. Resonate Labs loses res_095 (Discovered Labs vs Omniscient Digital for upskilling) to Discovered Labs and is absent from res_049, res_060, res_088, res_114, and res_037 entirely. These are Validation and Shortlisting queries from VP of Marketing / CMO and Founder / CEO personas — the two decision-maker roles with the highest win rates in the audit (53% for decision-makers). Owning the enablement narrative would capture churning clients of Discovered Labs and Omniscient Digital at the moment they are most receptive.
ChatGPT (high): On res_095, ChatGPT cites 4 sources and awards the win to Discovered Labs — a direct Comparison page with an explicit upskilling verdict would match ChatGPT's pattern of awarding wins to pages with clear comparative conclusions. Claude (medium): Claude shows 0–2 citations on enablement queries (res_018, res_027, res_037 all show 0 on Claude) — greenfield opportunity as Claude is not indexing any relevant content in this space. Gemini (high): Gemini cites 4–8 sources on enablement queries and shows the highest citation counts in this cluster among non-Perplexity platforms — structured content with Comparison tables aligns with Gemini's citation pattern. Perplexity (high): Perplexity cites 10–15 sources per query and already cites resonatelabs.co in adjacent Comparison queries — new enablement-focused pages are highly likely to be picked up given existing domain authority signals.
Buyers replacing traditional SEO or content agencies with GEO-focused providers represent the most commercially proximate segment — they have already decided to make a change and are evaluating specific vendors. Resonate Labs loses res_073 (Grizzle vs Position Digital), res_078 (Grizzle vs Animalz), res_085 (Scrunch vs Profound for SOV benchmarking), res_089 (Scrunch vs recurring GEO audit), and res_092 (Position Digital vs Grizzle for AI competitor tracking) with no presence whatsoever. These Comparison queries are high-intent buying_job='Comparison' queries where the win rate for visible vendors is 66.7% — creating the missing Comparison page type would directly capture decision-stage traffic.
ChatGPT (high): ChatGPT awards explicit wins on Comparison queries (e.g., 'lean Position Digital' on res_073, 'Peec AI for most lean SaaS SEO teams' on res_079) — structured Comparison pages with verdict sections directly match ChatGPT's recommendation extraction pattern. Claude (medium): Claude shows 0–2 citations on most queries in this cluster (res_073, res_078, res_089 all show 0 or 1 on Claude) — new Comparison pages with strong passage structure would fill a content vacuum on Claude. Gemini (high): Gemini cites 3–9 sources on these queries and shows consistent citation behavior — Comparison tables and structured verdict content align with Gemini's tendency to cite content with extractable structured data. Perplexity (high): Perplexity cites 10–20 sources per query in this cluster (res_073 shows 20, res_085 shows 15) and already cites resonatelabs.co in adjacent Comparison queries — new Comparison pages are highly likely to be indexed and cited.
Queries res_086 ('Resonate Labs vs Discovered Labs — which better connects AI visibility to pipeline?') and res_097 ('Thinking of switching from Discovered Labs to Resonate Labs') are the highest-stakes queries in the entire audit — buyers have already shortlisted Resonate Labs but AI answers push them toward Discovered Labs. The current /compare/resonate-vs-omniscient-digital/ page demonstrates Resonate Labs can win Comparison queries (5-4 head-to-head record against Discovered Labs overall), but a direct Discovered Labs Comparison page does not exist. With a 50% win rate when visible on Comparison queries, building the missing direct-competitor content would convert existing brand awareness into wins.
ChatGPT (high): ChatGPT explicitly awards Discovered Labs the win on res_086 with the statement 'Discovered Labs is stronger for connecting visibility to pipeline' — a rebuttal Comparison page with specific pipeline methodology evidence would directly counter this framing. Claude (medium): Claude shows 2–3 citations on res_086 and res_097 — Resonate Labs is present but loses, indicating Claude is seeing the site but not finding sufficient differentiation signals to award the win. Gemini (high): Gemini cites 4–5 sources on both key queries and awards wins to Discovered Labs — structured Comparison content with clear differentiation tables aligns with Gemini's extraction pattern and would shift the verdict. Perplexity (high): Perplexity cites 10 sources on both queries and already includes resonatelabs.co in adjacent comparisons — a dedicated Discovered Labs Comparison page would likely be cited given existing domain inclusion patterns.
All recommendations across all three layers, ranked by commercial impact × implementation speed.
Our analysis reads rendered page content (markdown), which does not expose JSON-LD structured-data blocks. Across the 50 analyzed pages we could not confirm which schema types (FAQPage, Article/BlogPosting, Product, BreadcrumbList, Organization) are emitted. The pages are structurally ideal for schema — nearly every page carries an explicit FAQ block, the /compare/ pages use Comparison tables, and /geo-metrics-glossary/ and /how-we-measure-geo/ define discrete metric terms — but presence of the corresponding markup is unconfirmed.
Resonate Labs has no owned content addressing continuous/real-time AI visibility monitoring, tracker limitations, or the decision to move from a tool to an agency — 12 L3 queries across this theme return 0% visibility (0/12 visible on any platform). The root cause is a missing content type: no page exists explaining when monitoring tools fall short and how an agency-led program fills that gap.
Resonate Labs has no content targeted at buyers who want to upskill their internal team rather than outsource entirely — 9 L3 queries on Team Training, Workshops & Office Hours return 0% visibility (0/9 visible). The content type deficit is a missing 'done-with-you' and 'team upskilling' page cluster; the existing site positions done-for-you execution but does not address the hybrid engagement model that multiple buying scenarios require.
Resonate Labs is absent from 8 L3 queries where buyers compare traditional content agencies (Grizzle, Animalz, Position Digital, Omniscient Digital) against GEO-first alternatives — 0% visibility on 7 of these 8 queries. The root cause is a missing content type: no Comparison pages exist for the specific 'switching from content/SEO agency to GEO' buyer scenario, only for existing GEO-vs-GEO comparisons.
On 2 positioning-gap queries where Resonate Labs is explicitly named as a Comparison subject (res_086, res_097), Discovered Labs wins on all 4 platforms. Resonate Labs is present but loses — the issue is positioning weakness, not absence. These 2 queries plus 3 supporting L3 positioning gaps (res_071, res_080, res_102) represent the audit's clearest head-to-head remediation opportunity.
The /how-we-measure-geo/ page does not address 'Resonate Labs vs. Discovered Labs for pipeline attribution' — the direct Comparison of res_086 — because it describes methodology in isolation, not as a competitive differentiator.
The /atomic-content/ page describes atomic content principles but does not name Resonate Labs as the provider of page templates built on these principles — buyers cannot identify it as a service offering page.
The /business-case-for-geo/ page argues for GEO investment in general terms but contains no section attributing pipeline outcomes to Resonate Labs specifically — buyers cannot extract a vendor recommendation from it.
The /compare/geo-delivery-models/ page compares delivery model categories (done-for-you, done-with-you, tool-only) but does not name Grizzle, Animalz, or Omniscient Digital as examples within each model — leaving buyers who arrive from queries like res_072, res_076, and res_087 without the direct competitor Comparison they need.
The /compare/resonate-vs-omniscient-digital/ page covers agency Comparison at a high level but does not have a section addressing 'what clients complain about with Omniscient Digital' (res_123) — the Validation query frame that accounts for 3 of these 6 gaps.
The /for/content-leaders/ page describes the Resonate Labs engagement for content teams but has no section addressing 'what goes wrong with competitor content agencies for GEO' — the Validation query framing of res_116 (Grizzle complaints) and the broader content lead churn pattern.
The /switch/from-seo-agency/ page is designed to capture switching intent but does not address the 'agency vs. tracking tool' decision frame of res_014 — buyers who have a tool and are considering adding an agency.
The /how-we-measure-geo/ page defines measurement methodology but has no section explicitly titled 'AI share-of-voice benchmarking' with a named definition and methodology — the exact phrase buyers use in Shortlisting queries like res_050 and res_064.
The /how-we-measure-geo/ page describes the measurement methodology in general terms but contains no structured Comparison of how Resonate Labs' four-platform coverage (ChatGPT, Claude, Gemini, Perplexity) differs from single-engine or tool-only approaches used by Discovered Labs or Peec AI.
The /sample-action-plan/ page presents sample deliverable content but has no introductory section explaining the commercial case for a prioritized action plan versus dashboard-only tools — leaving buyers who arrive from Shortlisting queries without a conversion-oriented passage.
The /what-drives-ai-citation/ page explains citation factors in general terms but has no section connecting those factors to Resonate Labs' audit deliverables — buyers reading it cannot infer that Resonate Labs is the provider who surfaces this data.
The /compare/geo-vendor-rfp/ page addresses vendor evaluation but is not structured as a copyable RFP template with named sections — so when AI engines receive res_139 ('draft an RFP for a GEO audit service'), they produce their own template rather than citing this page.
The /business-case-for-geo/ page makes a general case for GEO investment but does not include a named payback period estimate or ROI timeline benchmark — the specific content res_130 ('typical payback period for a GEO program') needs.
The /what-is-geo/ page defines GEO comprehensively but has no vendor positioning section explaining that Resonate Labs offers GEO services — a buyer reading this page cannot infer they should hire Resonate Labs.
The /geo-white-paper/ page provides technical depth but has no section addressing 'how accurate are AI visibility audits and can the citation data be trusted' (res_126) — the Validation concern that produces 0% visibility for this query.
The /how-queries-are-generated/ page explains how AI visibility audits generate buyer queries in general terms but does not name Resonate Labs' specific methodology or distinguish it from Profound's query library or Scrunch AI's keyword-tracking approach.
The /how-we-measure-geo/ page describes measurement methodology but has no section on audit cadence or recurring reporting — buyers asking 'best GEO providers offering recurring audits' (res_056) find no Resonate Labs claim about ongoing tracking frequency.
The /platform-divergence/ page addresses platform differences but does not frame the problem that buyers experiencing organic traffic decline (res_003) are facing — 'AI overviews are answering everything and I don't know what to do.'
Every one of the 50 fetched pages returned substantial, fully-formed body text — headings, prose, FAQ answers, and Comparison tables — through the rendering fetch, strongly suggesting server-rendered or pre-rendered HTML. Our method cannot definitively confirm the same content is present in the raw HTML source with JavaScript disabled.
Rendered-markdown analysis does not expose <meta name="description">, Open Graph, or Twitter Card tags. Observed page <title> values were consistently strong and descriptive across all 50 pages, but meta-description quality and social-preview tag completeness are unconfirmed.
The illustrative sample pages reuse the same non-descriptive H3 annotation label repeatedly — "What this is and what to check", "What this is and why it matters", and "What this is and how to read it" all recur on /sample-action-plan/, and "What this is and what to check" repeats on /sample-foundation-review/. Elsewhere on the site headings are specific, descriptive noun phrases that stand alone as passage labels; these annotation labels are the exception.
All three workstreams can start this week.
[Data] Total recommendations: 27. L1 technical: 5 (1 fix + 3 verification checks; site-wide scope). L2 content optimizations: 18 recommendations (addressing 107 gap queries).
L3 new content: 4 recommendations (targeting 31 gap queries). Gap totals: 126 invisibility gaps + 12 positioning gaps = 138 total gaps. Layer counts from metrics: L2 covers 107 queries; L3 covers 31 queries; combined targeting 142 queries.
[Synthesis] The 27 recommendations follow a strict dependency sequence: L1 technical fixes execute first because structured-data and rendering verifications unblock the AI crawlers that must index any new or updated content before it can appear in responses. L2's 18 recommendations then optimize existing pages where coverage exists but content fails to surface — faster to implement and lower risk. L3's 4 new-content recommendations build pages for the 31 queries with no relevant existing content, primarily the continuous-monitoring and team-enablement clusters where competitors currently win by default.
Gap coverage note: 133 of 138 gap queries (96%) are assigned to an L2 or L3 action item. 5 gap queries remain unrouted — these may represent edge-case queries that don’t cluster neatly or fall below the LLM’s grouping threshold.