Run a GEO content audit: inventory your pages, test which AI engines cite them, score each page's citation-readiness, and prioritize the highest-impact fixes.
A GEO content audit answers one question about the content you already have: is it built to be cited in AI answers, or only to rank in a list of links? Those are no longer the same thing. AI Overviews, ChatGPT, and Perplexity each run their own retrieval and quote sources their ranking cousins never would — a 2026 Ahrefs analysis found the share of Google AI Overview citations coming from the traditional top-ten organic results fell from roughly 76% to about 38% in a year. So a page can rank well and still never be extracted, and a page cited in one engine can be invisible in the next.
The audit is a systematic pass to find those gaps before you spend a dollar fixing them. You inventory the pages and questions that matter, test which engines currently cite you versus a competitor, score each page on the concrete things that decide extraction — access, structure, substance, and off-site footprint — and come out with a ranked fix list instead of a vague sense that "we should do more AI stuff." This is a task you can run on a spreadsheet in an afternoon for a focused set of pages; the discipline is in doing it per engine and repeating it, because AI retrieval refreshes fast.
The steps
Inventory the pages and the questions worth auditing. List the pages that matter — your money pages, your top organic earners, and anything on a topic you want to own — and next to each, write the real, conversational questions people would ask an AI to land on it. Do not try to audit the whole site; a focused set of high-value pages and their questions is where the leverage is. This list is the spine of the audit: every later step scores against it.
Baseline each engine separately. Run each target question through Google's AI Overviews and AI Mode, ChatGPT, Perplexity, and Gemini, and record who gets cited in each — you, a competitor, or no one you recognize. Do this per engine and log it in separate columns, because the engines diverge: cross-engine studies put the domain overlap between ChatGPT and Perplexity citations near 11%, so a win in one says little about the others. Run each prompt a few times and note the date; AI answers are not deterministic.
Check that answer-agent crawlers can even reach the page. A page nothing can fetch cannot be cited, so verify access before you judge content. Confirm your robots.txt allows the answer agents (OAI-SearchBot, PerplexityBot, and Google's normal crawler that feeds AI Overviews), and check that no login wall or aggressive bot-filter is silently blocking them. Then view the raw server HTML: if your main answer only appears after JavaScript runs, many crawlers see an empty shell. Access failures are the fastest, highest-impact fixes on any audit.
Score each page for extractability. For every page, mark whether it is built for lifting: does it lead with a direct, self-contained answer in the first paragraph; do the headings mirror the actual questions people ask; is anything list-shaped or comparison-shaped rendered as a real list or table; can any single section be quoted in isolation and still make sense? Give each page a simple pass/fail on these. A page that buries its answer three paragraphs down forces the engine to reconstruct it, and it will reach for a competitor that stated it plainly.
Score each page for substance and trust. Structure makes a page extractable; substance makes it worth extracting. Score whether each page says something specific and sourced — a real number with a date, a first-hand result, a comparison a generic competitor could not write — or whether it is interchangeable filler every engine skips. Check the trust signals too: a named author with real credentials, an accurate about page, and facts that match what you say everywhere else. Specificity and E-E-A-T pay off in all three engines at once.
Audit the off-site and multi-format footprint. The engines lean toward different surfaces, so a text-only footprint leaves whole engines unreachable. Note where each topic shows up beyond your own domain: video (Google's AI Overviews cite YouTube heavily), reference-style explainers (ChatGPT's lean), and credible third-party discussion like Reddit (Perplexity's lean). A page with no supporting video, no off-site mentions, and no presence in the communities an engine grounds on has a structural ceiling no on-page edit will lift.
Turn the scores into a ranked fix list. Now prioritize. The best fixes sit where a competitor is cited and you are close, on a question with real demand, and where the gap is cheap to close — an access fix or an answer-first rewrite beats a from-scratch video. Rank by impact over effort, and tag each fix by which engine it targets so you are not blindly "optimizing for AI" but closing a specific citation gap in a specific engine. The output of the audit is this list, not a grade.
Fix, then re-audit on a schedule. Work the top of the list, then re-run the baseline prompts to see citations move — live retrieval usually reflects changes within days to a couple of weeks once a page is recrawled. Because retrieval favors fresh sources and competitors keep shipping, a one-time audit goes stale; set a recurring cadence (monthly is a sane floor) to re-test your questions, confirm wins hold, and catch new gaps. AI visibility is a position you maintain, not a box you check once.
Common gotchas
Auditing one engine and assuming the rest match is the biggest trap. Domain overlap between ChatGPT and Perplexity citations is around 11%, and even Google's AI Overviews and AI Mode often cite different URLs — score each engine in its own column.
Ranking #1 does not mean citation-ready. The share of AI Overview citations from top-ten organic results fell to roughly 38% in 2026, so a page can dominate the blue links and never get extracted. Test the AI answer, do not infer it from rank.
AI answers are not deterministic — the same prompt can cite different sources across users, sessions, and dates. Run each question a few times, log the date, and read the pattern, not a single result.
Check crawler access before you grade content. A broad "disallow all AI bots" rule or a client-side-only render makes a great page invisible, and no amount of content scoring will reveal it if you skip this step.
Do not pretend to audit the whole site. Manual prompt-testing does not scale past a focused set of pages, so sample the highest-value questions honestly rather than reporting thin coverage as complete.
An audit with no re-audit is a snapshot that decays. Retrieval refreshes in days and competitors keep publishing, so the value is in the recurring loop, not the first pass.
Where Kompozy fits
An audit ends with a ranked list of gaps — and that is exactly where most teams stall, because closing the list is a production job the audit itself does not do. A typical GEO fix list reads: rewrite twelve pages answer-first, add a supporting video to the questions where Google's Overviews lean multimodal, produce extractable infographics for the stat-heavy topics, and seed genuine presence on the third-party surfaces Perplexity grounds on. That is weeks of multi-format work, and it is precisely what Kompozy turns from a backlog into a batch. Point it at a topic the audit flagged and it generates the whole remediation set from one brief: a Blog Article restructured for extraction, a Persona Short or Persona HeyGen video whose transcript feeds the video-hungry engines, an Infographic Photo and Carousel that carry the key numbers as their own liftable units, and Text Posts sized to seed the platform discussions the audit found you absent from. Because a single Persona Brief governs voice, claims, and a banned-word list across every format, the facts and positioning stay identical everywhere — the cross-source consistency your audit is scoring for in the first place, enforced instead of hoped for. Autopilot then schedules the fixes across the eight social platforms plus blog and email behind a per-post review gate, where a human approves every piece so a wrong stat never ships just because generation is fast — and that recurring cadence is what makes the re-audit loop sustainable rather than a heroic one-off. The honest boundary: Kompozy does not run the audit, cannot force any engine to cite you, and does not take down or edit third-party pages — the scoring, the prompt-testing, and the final call on what to fix are yours. What it removes is the throughput ceiling on executing the fixes, which is the part that otherwise turns a good audit into a document nobody finishes. Starter ($99/mo, 5,500 credits) fits a solo brand closing a short list; Pro ($299/mo, 18,000 credits) suits a team remediating across every engine and surface; Enterprise is custom for agencies auditing and fixing for multiple clients.
Frequently asked questions
What is a GEO content audit?
It is a systematic review of your existing content to find whether each page is built to be cited in AI answers — by Google AI Overviews, ChatGPT, Perplexity, and others — rather than only to rank in classic search. You inventory the pages and questions that matter, test which engines cite you today, score each page on access, extractability, substance, and off-site footprint, and produce a ranked list of the fixes most likely to win citations.
How is a GEO content audit different from an SEO audit?
An SEO audit checks whether a page can rank and get clicked; a GEO audit checks whether a passage can be extracted, attributed, and stood behind inside a synthesized AI answer. They share fundamentals — crawlability, helpful content, authority — but the GEO audit adds answer-first structure, self-contained extractable units, cross-source consistency, and a multi-engine, multi-format footprint, and it measures citation presence per engine rather than keyword rankings.
How often should I run a GEO content audit?
Treat it as a recurring loop, not a one-time project. Because most AI answers use live retrieval that refreshes within days and favors fresh sources, a monthly re-test of your priority questions is a sensible floor — enough to confirm fixes held, catch pages slipping, and spot new competitor citations. A full deep audit a few times a year, with lighter monthly checks in between, works for most teams.
Which AI engines should I check in the audit?
At minimum the ones your audience actually uses: Google's AI Overviews and AI Mode, ChatGPT, and Perplexity, with Gemini alongside. Check each separately, because they run different retrieval and cite different sources — a page cited in one can be invisible in another. If your audience skews to a specific engine, weight your fixes toward it, but never audit only one and assume the rest agree.
Do I need a paid AI-visibility tool to run the audit?
No. You can run a focused GEO audit with a spreadsheet, manual prompt-testing in each engine, and Google Search Console's AI-surface impression data, which is free. Paid AI-visibility platforms help when you need to track many prompts across engines at scale or automate the re-audit, but the core discipline — testing per engine and scoring per page — does not require one to start.