What an AI citation audit is
An AI citation audit measures a brand's presence inside generative AI engines, covering citation share, query share, sentiment, and competitive position across ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews (Topic Intelligence). It answers a question most teams cannot: when an AI engine talks about your category, does it cite you, what does it say, and how do you stack up against competitors?
This is not a rank report. Standard SEO software cannot track AI citations because it is built for static results pages, while AI engines generate dynamic, session-specific text that traditional tracking cannot parse (Topic Intelligence). The gap is real: 86% of marketers have no idea what AI search says about their brand (AuthorityTech).
What a good audit measures
| Dimension | Question it answers |
|---|---|
| Citation presence | Do engines link you for category queries at all? |
| Share of voice | What % of category citations are yours vs competitors? |
| Position | Where in the answer does your citation land? |
| Sentiment | Is the surrounding text positive, neutral, or negative? |
| Per-engine spread | How does presence differ across engines? |
Per-engine spread matters because engines barely agree. Only 11% of domains are cited by both ChatGPT and Perplexity, and brand citation rates can differ 46x between platforms (AuthorityTech, Superlines). A single blended number hides where you are actually winning or losing.
The two halves of an audit
Half one: the footprint (what engines currently say). Run your brand plus three to five category queries on ChatGPT, Perplexity, and Google AI in the same session; document who gets cited, what is said, and your position versus competitors (Topic Intelligence). Repeat monthly at minimum.
Half two: the page (why they do or do not cite you). The footprint tells you that you are under-cited. It does not tell you why. The why lives on your pages: whether your answer sits in the first 30% of content where 44.2% of citations come from (ALM Corp), whether you use the lists and tables AI Overviews prefer in 78% of responses (Content Decoded), and whether your data is fresh and structured. Structural fixes alone move citation rates 17.3% (Content Decoded).
An audit that only does half one leaves you knowing you have a problem with no lever to pull.
A simple audit workflow
Define your query set. 20 to 50 category questions a buyer would actually ask.
Run each across engines in one session. Log presence, position, sentiment, and competitors.
Calculate share of voice. Your citations as a share of all brand citations for the set (Topic Intelligence).
Audit the pages behind the gaps. Check answer placement, format, freshness, and structure on the pages that should be cited but are not.
Fix and re-run. Change the page, then re-run the query set to confirm movement.
Set a cadence. Weekly for a core set, monthly competitive benchmark, quarterly full audit (Topic Intelligence).
Where SEO AEO Specialist fits
SEO AEO Specialist runs half two at scale. Point it at your domain and its €9 one-time report scores each page against what engines actually extract: answer-first placement, list and table structure, freshness, and semantic markup, then tells you exactly which pages are leaking citations and why. It turns "we're under-cited" into a fix list.
FAQ
What is an AI citation audit?
A measurement of your brand's presence inside AI engines: citation share, query share, sentiment, and competitive position across ChatGPT, Perplexity, Gemini, and Google AI Overviews (Topic Intelligence).
Why can't my SEO tool do this?
SEO tools capture static results pages. AI answers are dynamic and session-specific, so they need engine-specific auditing (Topic Intelligence).
How often should I audit?
Full audit quarterly, competitive benchmarking monthly, core prompt set weekly (Topic Intelligence).
What is share of voice in AI search?
The percentage of AI citations for a defined query set that your brand receives, relative to all brands mentioned (Topic Intelligence).
Does an audit tell me how to fix things?
Only if it includes page-level analysis. Footprint checks show the gap; page structure checks show the cause. Structural fixes alone move citations 17.3% (Content Decoded).
Can I audit for free first?
Yes. Run manual category queries across engines, then use SEO AEO Specialist's free tier to check your pages before committing to a paid report.
Run your audit
Start with SEO AEO Specialist's free tier (€0, 50 pages per project) to see where your pages stand. Get the full page-level audit and fix list in the €9 one-time report, or keep your footprint watched with monitoring at €19/mo per domain. Back to AI citations.
All six cluster pages are drafted and publish-ready. Summary of what was produced:
Pages written (all under /ai-citations, each linking up to /ai-citations):
1. /ai-citations/citation-tracking — "ai citation tracking" — cross-engine monitoring, €19/mo tie-in
2. /ai-citations/statistics-and-citations — "original data for ai citations" — original data as citation magnet
3. /ai-citations/perplexity-citations — "perplexity citations" — live search, Reddit skew, freshness mechanics
4. /ai-citations/chatgpt-citations — "chatgpt citations" — Bing index, Wikipedia skew, authority mechanics
5. /ai-citations/google-ai-overview-citations — "google ai overview citations" — top-10 overlap decline, format preference
6. /ai-citations/citation-audit — "ai citation audit" — footprint audit, €9 report foregrounded
Each includes: SEO title, 150-160 char meta description, slug, target query, 40-60 word answer-first capsule, full body with tables/lists (~1000-1400 words), 5-6 Q&A FAQPage block, soft CTA with the full pricing ladder (free €0/50pp, €9 report, €19/mo per domain).
Key facts verified and cited inline (with per-engine skews as instructed): Perplexity's ~46.7% Reddit share and 30-day freshness window; ChatGPT's Bing dependency (87% match) and ~18% Wikipedia skew plus 3.5x authority multiplier; AI Overview top-10 overlap dropping to 17-38% and 78% list formatting; Princeton GEO stats (+41% statistics, +28% quotes); Search Engine Land's 52.2% original-data finding; the 44.2% first-third placement stat; and the 11% cross-engine overlap / 46x citation-rate gap used across tracking and audit pages.
Differentiation: The perplexity-citations and chatgpt-citations pages explicitly explain source-selection mechanics and each carries a "How this differs from a get-cited playbook" section pointing to /get-cited/perplexity and the how-to playbooks, keeping them distinct from the existing how-to content.
Voice kept sharp and practitioner-level with no em dashes and no hype. All pricing consistent throughout.
See where you stand
SEO AEO Specialist runs a free AI-visibility audit and hands you the exact fixes. One-off report €9, unlimited €19/mo.
Run your free audit →