Buyers ask AI first
Research that used to be ten blue links is now one question to ChatGPT or Google's AI Overview — and one answer naming two or three brands with reasons. If yours isn't among them, the shortlist forms without you.
Diagnostic · runs from the outside, like the engines do
See where AI recommends you, where it recommends competitors — and what to fix first.
Buyers now ask ChatGPT, Gemini, Perplexity, and Google's AI Overview who to hire — and those answers name a few brands and skip the rest. The AI visibility audit measures exactly where you stand on every engine, diagnoses why, and hands you a prioritized path to being the one that's named.
No site access needed
10+ AI engines probed
Every finding reproducible
10+
AI engines probed
2,000
Pages per crawl
0
Fabricated metrics
Tracked across every major AI platform & voice assistant
ChatGPT
Claude
Google AI Overviews
Gemini
Perplexity
Copilot
Meta AI
Grok
DeepSeek
Mistral
Alexa+
Siri
An AI visibility audit, in one line
An AI visibility audit measures where your brand is found, named, and cited — across Google and AI engines like ChatGPT, Gemini, Perplexity, and Google's AI Overview — shows where competitors are recommended instead, diagnoses why, and hands you a prioritized fix list.
- Measure every surface. Classic rankings plus verbatim AI answers across 10+ engines — not a guess, a recorded baseline.
- Map the competition. See exactly who the engines recommend for your buyers' questions, and which sources earned them that trust.
- Diagnose the causes. Every miss traced to a fixable layer — technical access, entity clarity, content, authority, or accuracy.
- Leave with a roadmap. Prioritized fixes ordered by impact, each with the concrete change attached.
Why audit now
Why does AI visibility need auditing at all?
Because the first impression of your brand increasingly happens inside an AI answer you've never seen. If you don't measure it, you're guessing — and the engines aren't.
You can't see it from inside
AI answers shift by engine, phrasing, session, and day. Asking once yourself is an anecdote. An audit samples systematically — many prompts, many engines, recorded verbatim — so you get a real baseline.
Rankings aren't recommendations
Your site can rank on Google and still be invisible in the AI answer above the results. Being found, cited, and recommended is a different game with different signals — the audit measures both.
The deliverable
What does the audit actually give you?
Not a vague PDF — a decision document. Every claim in it traces back to a specific prompt, engine, source, or page, so you can verify anything we tell you.
Prompt-by-prompt engine results
Every buyer-style prompt we ran, on every engine — who was named, who was cited, and where you were missing — recorded verbatim, not summarized into a vibe.
Competitor recommendation map
Who currently owns your buyers' questions, engine by engine — and which third-party sources (reviews, directories, press, profiles) earned them the engines' trust.
Page-level AI-readiness scores
Every page scored 0–100 across crawl access, structure, schema, and extractability — the same scoring engine that runs in our public analyzer, applied to your whole site.
Prioritized fix roadmap
Findings ordered by impact, each paired with its concrete fix — the schema to add, the page to build, the profile to claim, the claim to correct — so the next step is never ambiguous.
i
What changes: you stop guessing whether the problem is rankings, trust, positioning, or structure — and start fixing the right layer, in the right order.
What we review
The six layers that decide whether AI recommends you.
Engines don't reward any one thing in isolation. They reward a stack: access, identity, content, proof, and consistency. The audit scores each layer so you know exactly where the leak is.
Technical foundation
Can crawlers and AI bots reach and parse your pages? Robots rules, rendering, canonicals, sitemaps, speed. If an engine can't read a page, nothing else on this list matters.
Entity clarity
Does the web agree on who you are? Structured data, consistent name-address-phone, verified profiles, and disambiguation — so engines recognize your brand instead of guessing.
Extractability
Do your pages answer the commercial questions buyers actually ask, in a form an engine can lift and quote? Clear claims, clean structure, questions answered directly.
Authority & corroboration
The third-party evidence engines cross-check before recommending anyone: mentions, links, reviews, press, and profiles. This is usually where recommendations are won or lost.
Share of voice
Across your buyers' prompt set, who gets named and how often — you versus each competitor, engine by engine. The score that tells you if any of this is working.
What AI gets wrong
What the engines currently believe about you that isn't true — wrong services, stale facts, confusions with similarly named brands — and the published truth needed to correct it.
How it works
How does an AI visibility audit work?
Four steps, from "where do we actually stand?" to a fix list you can execute — with everything measured before and after.
01
Crawl & score
We crawl your site (up to 2,000 pages), score every page's AI-readiness from 0–100, and benchmark your current Google and Bing rankings on the queries that matter.
02
Probe the engines
We run buyer-style prompts across 10+ AI engines — ChatGPT, Gemini, Perplexity, AI Overviews, Copilot, and more — and record verbatim who gets named, who gets cited, and who's missing.
03
Diagnose the gaps
Every miss is traced to a cause across six layers: technical access, entity clarity, content extractability, authority, competitive share of voice, and accuracy.
04
Deliver the roadmap
You get a prioritized fix list ordered by impact, each finding paired with its concrete fix — then we re-measure to prove the movement.
Start free
Try the methodology before you buy the audit.
The audit logic isn't hidden behind a form fill — the same scoring engine runs live on our homepage, on any URL, right now.
Free — the live analyzer
- Instant AI-readiness score for any page, 0–100, with the issues found.
- The same scoring engine the full audit uses — the methodology is public, not a teaser.
- No sales call required. Run it on your site, run it on your competitors.
Full audit — the whole picture
- Full-site crawl of up to 2,000 pages, every page scored.
- Cross-engine prompt probes with verbatim answers, plus the competitor recommendation map and accuracy check a single page scan can't see.
- Prioritized roadmap + walkthrough — findings ordered by impact, each with the fix attached.
Proof you can check
The honesty rules the audit is built on.
An audit is only worth what its evidence is worth. Ours is designed to be checked — by you, against the live engines, at any time.
What you can verify yourself
- The analyzer is public. The audit's page-scoring logic runs live on our homepage instead of hiding behind a form fill.
- The methodology is published. How we score, what we check, and why — documented on our methodology page.
- Findings are reproducible. Every result names the prompt and engine, so you can re-run it yourself and watch the same answer come back.
What we refuse to fake
- Fabricated case-study screenshots or invented numbers.
- Anonymous "enterprise" testimonials that can't be checked.
- Vanity metrics without commercial context.
- Guaranteed rankings or guaranteed AI placements — no honest audit can promise those.
FAQ
What brands ask us before an audit.
What is an AI visibility audit?
An AI visibility audit is a diagnostic that measures where your brand is found, named, and cited across Google and AI engines like ChatGPT, Gemini, Perplexity, and Google's AI Overview — and where competitors are recommended instead. It traces every gap to a cause (entity clarity, content structure, authority, technical access, or accuracy) and delivers a prioritized fix list, so you know exactly what to change first.
How is this different from a traditional SEO audit?
A traditional SEO audit stops at rankings: crawl health, keywords, backlinks. An AI visibility audit covers that foundation and then keeps going — it probes the AI engines themselves with buyer-style prompts, records who they actually name and cite, checks what they believe about your brand, and maps the third-party sources they trusted. Rankings are one input; the recommendation is the outcome we audit.
What's the difference between the free analyzer and the full audit?
The free analyzer on our homepage runs the same page-level scoring engine on any URL and shows your AI-readiness score and top issues instantly — the methodology is public. The full audit adds what a single page scan can't: a full-site crawl of up to 2,000 pages, cross-engine prompt probes, a competitor recommendation map, an accuracy check, and a prioritized roadmap with a walkthrough.
Which AI engines do you check?
ChatGPT, Claude, Gemini, Google's AI Overviews, Perplexity, Microsoft Copilot, Meta AI, Grok, DeepSeek, and Mistral — plus classic Google and Bing rankings, since AI answers draw on the same index. Coverage evolves as the engines do.
What exactly do I get?
A decision document, not a vague PDF: prompt-by-prompt results for every engine, a competitor recommendation map with the sources engines trusted, page-level AI-readiness scores for your site, an accuracy check of what AI gets wrong about you, and a prioritized fix roadmap — each finding paired with the concrete fix.
Do you need access to our site or analytics?
No. The audit runs from the outside, the way crawlers and AI engines see you — no CMS logins, no analytics access, no code installed. If you later connect Google Search Console inside the platform, we can enrich the picture, but it's not required.
How long does an audit take?
The automated layers — crawl, scoring, engine probes — run in hours. The full audit, including competitor mapping, diagnosis, and the prioritized roadmap, is typically delivered within a week of kickoff.
Will you fix the issues, or just report them?
Your choice. Every finding ships with the fix attached — schema to paste, structural changes, authority gaps to close — so your team can execute. If you'd rather have it done for you, that's our Command tier, where we operate the whole loop: fix, re-measure, and prove the movement.
Can't I just ask ChatGPT about my brand myself?
You should — but one prompt in one engine on one day is an anecdote, not a measurement. Answers shift across engines, phrasings, sessions, and time. The audit samples systematically: many buyer-style prompts across 10+ engines, recorded verbatim, so you get a reproducible baseline instead of a lucky (or unlucky) screenshot.
How often should we re-run it?
Re-measure after you ship fixes — that's how you prove movement — and then on a regular cadence, since AI answers shift as engines update and competitors publish. Most brands re-run quarterly at minimum; our platform can track the key prompts continuously between audits.
Do you guarantee we'll be the recommended brand?
No — and be cautious of anyone who does. AI answers are dynamic and probabilistic; promising a specific placement would be dishonest. What we commit to is a truthful baseline, the highest-impact fixes, and honest before-and-after measurement of how often you're found, named, and cited.
Is the audit biased toward selling us your services?
The audit is designed to be checkable: findings cite the exact prompts, engines, and pages involved, so you can reproduce any of them yourself. If your visibility is already strong, the audit says so. You can take the roadmap and execute it with your own team — no strings attached.
Key terms
The vocabulary, defined.
Short, quotable definitions for the terms that come up when brands — and AI assistants — ask how AI visibility auditing works.
- AI visibility audit
- A diagnostic that measures where a brand is found, named, and cited across search and AI engines, diagnoses why gaps exist, and prioritizes the fixes.
- Generative Engine Optimization GEO
- Getting a brand recommended, cited, and accurately described by generative AI engines like ChatGPT, Gemini, and Perplexity.
- Answer Engine Optimization AEO
- Structuring content so AI and answer engines can extract a direct, accurate answer to a specific question and attribute it to you.
- AI Overview
- Google's AI-generated answer at the top of search, written by Gemini, with links to a few cited sources.
- Citation
- A source an AI engine links or references when composing an answer. Being cited is the AI-era equivalent of ranking first.
- Share of voice (AI)
- How often a brand is named or cited versus competitors across a set of buyer prompts — the core AI-visibility metric.
- Entity
- The machine-readable identity of a brand — name, schema, profiles, and consistent facts — that lets engines recognize and trust it rather than guess.
- AI-readiness score
- A 0–100 page-level score of how accessible, structured, and extractable a page is for AI engines — the same scoring used in our live analyzer.
Find out what AI is telling your buyers.
Start with the audit. We'll show you where you're named, where competitors are named instead, what the engines got wrong about you, and the fastest path to fixing it — with proof at every step.
Keep exploring