See exactly where AI cites your competitors. Not you.
ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews now handle 40 to 60 percent of your buyers’ research. We audit 15 AI models across 30 to 60 category prompts, measure the citation gap against your top three competitors, and hand you a 90-day action plan to close it.
See a sample report →A GEO (Generative Engine Optimization) audit measures how often ChatGPT, Perplexity, Gemini, Claude, and Google’s AI Overviews recommend your brand versus competitors when your prospects ask category-defining questions. It maps the citation gap, identifies structural fixes (llms.txt, schema, entity coverage, content depth), and prescribes the 90-day work needed to become the source AI recommends.
A property-specific GEO audit. Not a generic tool report.
Free auto-tools scrape one AI model and call it a citation report. We run a human-audited sweep across 8 platforms, benchmark you against your top three competitors, and deliver a fix plan your team can execute in 90 days.
Every category prompt runs against ChatGPT (4o, o1), Perplexity, Gemini, Claude Sonnet, AI Overviews, Copilot, You.com, and Grok. We log citations, sentiment, and brand-mention position. Not just yes/no visibility.
We pick your three highest-priority competitors and measure where AI cites them versus you: which prompts, which platforms, and what content the AI is pulling from. A numeric gap, not vibes.
A technical review of the machine-readable signals AI crawlers actually use: llms.txt, JSON-LD, Article/Organization/Product schema, robots directives, alt attributes, and entity coverage in structured data.
A topic-by-topic heatmap showing which category questions AI answers with your competitors’ content, what assets they have that you don’t, and which gaps close the fastest at your DR.
Every finding sorted by effort and impact. Your team gets a prioritized backlog: fix in Week 1, publish in Weeks 2 to 4, earn links in Weeks 5 to 8, re-measure in Week 12.
Findings triangulated with your live GSC (impressions, queries, CTR) and Ahrefs (backlinks, keywords, referring domains). The plan reflects your actual authority, not textbook advice.
Five documents. Every citation gap measured.
Not a generic checklist. A property-specific audit where every finding is triangulated against live AI-model output, your Ahrefs data, and your GSC performance.
The citation map
A matrix of every category prompt tested against every AI model. Cells are color-coded by who the AI cites: you, a named competitor, or nobody in your industry. This is the single artifact your CMO reads to know where you stand.
- 30 to 60 category-defining prompts, tested against all 8 models
- Brand-mention position (1st, 2nd, buried, or absent)
- Sentiment classification (positive, neutral, comparative)
- Source URL the AI is citing when it recommends the competitor
- Refresh cadence: models re-sampled at kickoff and week 12
Competitor citation delta
A horizontal bar chart showing who AI models cite most across your category. If a competitor is cited five times more often on the same buying prompts, the report shows exactly which of their content the AI is pulling.
llms.txt and schema audit
Every machine-readable signal AI crawlers use, reviewed on your site: llms.txt, JSON-LD schema, Open Graph, robots, and entity coverage. Findings are graded and paired with copy-paste fixes.
Content gap heatmap
Every category topic your prospects ask AI about, mapped to how well each of the five major models currently answers it, plus who they cite when they do. Red cells identify the exact topics where publishing new content produces the fastest citation lift.
Publishing more content on topics you already own doesn’t move AI citations. The heatmap identifies the underserved intersections (topics your competitors haven’t dominated yet) where new content earns citations fastest.
90-day action plan and review call
Every finding sequenced by effort and impact into a 12-week backlog your team can execute. Delivered with a 45-minute review call where your marketing lead walks the plan with our GEO analyst.
Get My GEO Audit →We diagnose the gap. Then we execute the fix.
Consulting-only shops hand you a PDF and disappear. Implementation-only shops build without a strategic thesis. MV3 does both: a diagnostic audit paired with the implementation team ready to close every gap the audit surfaces.
Where AI recommends your competitors, and why.
The $997 GEO Audit is the diagnostic. In 5 business days you get a defensible thesis for where citation lift is achievable, sequenced by effort and impact.
- 1Category thesis: which 30 to 60 prompts define buyer research in your vertical.
- 2Competitor benchmark: numeric citation delta versus your top 3 rivals, per model.
- 3Root-cause diagnosis: llms.txt, schema, entity coverage, content depth, backlink authority.
- 490-day roadmap: fix / publish / earn / re-measure, week-by-week.
- 5Delivered as read-only Notion doc plus 45-min analyst-led review call.
MV3 runs the 90-day plan so citations actually shift.
Every audit finding maps to an MV3 implementation service. Convert to Growth AI ($5,997/mo) inside the review call and we credit the $997 against your first month, then execute the plan.
- 1Technical fixes: llms.txt deploy, JSON-LD/schema patches, entity graph correction.
- 2Content production: gap-closing articles, comparison pages, glossary depth, FAQ hubs.
- 3Authority signals: Digital PR, HARO/Featured earned links, entity-linked sameAs coverage.
- 4Monthly re-sweeps: 8-model citation tracking, sentiment logging, delta reporting.
- 5Team access: dedicated Slack channel, weekly async standup, monthly review call.
Bundling multiple services? Request a custom proposal →
Three reasons you cannot lose on $997.
Every GEO Audit ships with three written guarantees. If we miss any of them, you pay nothing.
Your audit is delivered within 5 business days of kickoff. Miss the delivery date and the audit is free. No invoice, no exception.
If the audit does not surface at least 20 actionable findings sequenced by effort and impact against your live GSC and Ahrefs data, we refund in full.
Full refund available inside the first 48 hours of kickoff. No explanation needed, no questions asked. Once analyst work begins, the quality guarantee applies.
How we run the audit, every time.
Five stages. Same protocol every audit. Reproducible against future re-sweeps so you can measure lift, not just point-in-time visibility.
Category, ICP, and 3 competitors locked with your marketing lead in the kickoff call.
30 to 60 category-defining prompts assembled from your customer language, GSC queries, and Reddit/community signals.
Prompts run against 8 AI platforms with 3 rotations per prompt to control for model variance.
Citations coded by brand, sentiment, position, and source URL. Findings triangulated against your Ahrefs and GSC data.
Findings sequenced into a 12-week backlog. Delivered with a 45-min analyst-led review call.
What buyers say after the 90-day re-sweep.
Outcomes reported by GEO Audit clients after they implement the 90-day plan. Company identities are protected under NDA. Personas are composite illustrations of role, stage, and category.
Grew our SQL pipeline 3.2x in 90 days after we closed the citation gaps the audit surfaced. ChatGPT now cites us alongside the category leaders on the four buying prompts that matter.
We were invisible to Perplexity. Six weeks post-audit we owned 4 of the top 8 category citations. Best $997 we’ve spent this year, and the biggest lever the SEO team has pulled since 2024.
The audit read like a McKinsey deck for AI search. We handed it to the SEO team and they closed 90% of gaps in one quarter. AI Overview inclusion moved from 0% to 28% on our 12 core queries.
Company names withheld under NDA. Metrics verified against client-supplied GSC + GA4 exports. Photos are composite illustrations, not client likenesses.
The citation gap is bigger than you think.
Findings pulled from MV3’s aggregate GEO audit data across B2B SaaS accounts, trailing 6 months.
Median AI citations for a B2B SaaS site pre-audit across 30 category prompts
of audits find at least one competitor cited five times more often on the same buying prompts
of B2B sites audited had no llms.txt file live at audit start
New citations earned within 90 days when the full plan runs
Individual results vary by category maturity, DR, and existing content depth.
Anonymized wins from recent audits.
Six recent GEO Audit engagements, sanitized of brand identifiers. Full un-redacted case studies are available under NDA on request.
Metrics tracked in Ahrefs Brand Radar + MV3’s 8-model citation sweep. Individual outcomes vary by DR, content depth, and category maturity.
This is not for you if…
We hold a hard fit bar on GEO Audit engagements. If any of the below is true, we’re not the right vendor, and we’ll say so on the intro call.
- You want the cheapest option. The GEO Audit is a premium diagnostic run by senior analysts. Not a $99 SEO scan. Cheaper tools exist. They will not surface what we surface.
- You need it done in 48 hours. Five business days minimum. Rushed audits skip the prompt-fleet validation step that makes findings defensible.
- You want ChatGPT-generated recommendations. Our findings are triangulated against your live GSC, Ahrefs, and 8-model citation data by a human analyst. If a $20/month LLM chat is your bar, save the $997.
- You need someone else to define your ICP or competitor set. We work from your existing customer profile and named rival list. If those don’t exist yet, do that work first, then hire us.
- You are pre-revenue or pre-product. GEO lift requires content depth and category presence for models to have something to cite. Audit ROI compounds with existing scale.
If you’re a fit, keep scrolling. Or start the audit now →
One-time. Delivered in 5 business days.
- Citation Map: 30 to 60 prompts across 8 AI models
- Competitor Citation Delta vs. your top 3 rivals
- llms.txt, JSON-LD, and entity schema audit
- Content Gap Heatmap by topic and model
- 90-Day Action Plan sequenced by effort and impact
- 45-minute analyst-led review call
Convert to Growth AI ($5,997/mo) inside the review call and we credit the $997 against your first month.
Questions buyers ask us.
Katya leads technical SEO operations on MV3’s GEO Audit program. Every audit ships under our team review. Her work covers Core Web Vitals, JavaScript rendering, structured data, and large-scale crawl optimization for enterprise B2B sites.
AI Marketing & SEO Automation, All States
