When a customer asks ChatGPT, Google AI Overviews, or Perplexity who to hire, are you the answer, or is it your competitor? An AEO audit from Advance Labs Inc. (London, Ontario) runs a 54-rule answer-engine check on your site and shows exactly what the AI engines say about your business versus your competitors. Fixed price, paid up front, delivered in three days.
A real, anonymized excerpt from a recent audit. Three of the 54 rules, the finding, and the fix:
Rule 07 · Organization entity
Finding: No sameAs links to authoritative records, so AI engines couldn't confirm which business you are. They confused the client with a same-named company in another country.
Fix: Add Organization schema with sameAs pointing at your government registry record, LinkedIn, and verified profiles.
Rule 23 · Extractable answers
Finding: Service pages opened with a slogan, not an answer. LLMs extract the first clear, self-contained sentence, and there wasn't one to quote.
Fix: Lead each page with a one-sentence, quotable answer to the exact question a buyer asks.
Rule 41 · Citable proof
Finding: Claims ('fast', 'trusted') had no numbers, dates, or sources, so no engine would repeat them. Competitors with concrete, dated specifics got cited instead.
Fix: Replace adjectives with specific, dated, verifiable facts an engine can safely quote.
02·The 54-rule engine
The audit isn't a checklist someone eyeballs. It's a 54-rule scoring engine, split into three families, run against your whole site:
Sample audit artifact
11
AEO rules
The answer-engine layer: a clear Organization entity that stays consistent across every page and property, sameAs links to records an engine can trust, extractable and quotable answers, citable dated proof, and FAQ/HowTo structure an LLM can lift verbatim.
14
E-E-A-T rules
Experience, expertise, authoritativeness, and trust. Named authors, real credentials, verifiable claims, and the trust signals an engine looks for before it puts your name in an answer.
29
Technical-SEO rules
The foundation everything else sits on: crawlability, whether your sitemap actually lists what you publish, redirect integrity, canonical validity, structured-data coverage, internal linking, and the technical hygiene that decides whether an engine can read you at all.
Why this is a measurement, not a guess
Built on an open-source monorepo (17 packages, 988 passing tests, clean CI). Apache-2.0 licensed, so the scoring is inspectable, not a black box.
We actually query ChatGPT, Google AI Overviews, Perplexity, and Claude to see if you get recommended. Real answers, not a guess at what the engines think.
Branded PDF report generated by the same engine, wired to Google Search Console and GA4, with results stored so we can re-run and show movement after fixes.
Free tools and MCP servers from the same toolkit are public, so you can pressure-test a slice of the method before you spend a dollar.
Full crawl + 54-rule AEO engine run against your site (schema, entities, citations, structure)
Live checks: what ChatGPT, Google AI Overviews, Perplexity & Claude actually say about you vs competitors
Scored PDF report with a prioritized, plain-English fix list
30-minute readout call. Bring your marketing person or agency.
Want it fixed, not just found? The AEO fix sprint turns the list into shipped changes: CAD $1,500–3,000 fixed.
04·FAQ
What is an AEO audit?
An answer-engine optimization (AEO) audit measures how visible your business is inside AI answers (ChatGPT, Google AI Overviews, Perplexity, and Claude) and inside the structured data and citations those engines read. It's the AI-era counterpart to a traditional SEO audit: instead of only checking how you rank in blue links, it checks whether AI assistants name you when someone asks for a recommendation.
How much does an AEO audit cost?
Advance Labs runs fixed-price AEO audits from CAD $750 to $1,500 depending on site size, paid up front, with a 3-day turnaround. There are no retainers and no hourly surprises.
How do I check if ChatGPT recommends my business myself?
Ask ChatGPT, Perplexity, Google AI Overviews, and Claude a buyer-intent question like 'best [your service] in [your city]' and see whether you're named, which competitors are, and which sources the engine cites. Our guide walks through the exact prompts; the audit does this systematically across engines and ties each gap to a fix.
What do I get at the end?
A scored PDF report with a prioritized, plain-English fix list, the live AI-answer checks for your key buyer queries, and a 30-minute readout call. You can hand the fix list to your own team or agency, or have us implement it as a fix sprint.
How does the 54-rule engine work?
The audit runs a 54-rule scoring engine in three families: 11 AEO rules (entity identity and consistency, sameAs, extractable answers, citable proof, FAQ/HowTo structure), 14 E-E-A-T rules (experience, expertise, authoritativeness, trust), and 29 technical-SEO rules (crawlability, sitemap coverage and freshness, redirect integrity, canonical validity, structured data, internal linking). It's powered by our AEO Toolkit, an open-source monorepo of 17 packages with 988 passing tests, and it cross-checks the score against live answers from ChatGPT, Google AI Overviews, Perplexity, and Claude. So the number isn't an opinion, it's a measurement you can re-run after fixes.