Run an AEO audit. Check if AI search engines cite us for the queries we should appear on.
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Run an AEO audit. Query ChatGPT, Perplexity, Gemini, and Claude for the queries my store should appear on. Show me which queries cite us, which don't, and what content gaps are causing the misses.
- Tests your visibility on 4 major LLMs.
- Identifies the queries where you're cited vs missing.
- Pinpoints content gaps that cause the misses.
- Suggests citation-friendly content to fix them.
What you're trying to do
AI search is growing fast and the rules are different from Google. Where Google rewards backlinks and tech SEO, LLMs reward structured, citation-friendly content. Many stores rarely appear in AI answers, and few check. An AEO audit shows you where you stand and what to write so assistants have something to cite.
Things to watch out for
- Coverage: Fudge tests the 4 most-used consumer LLMs by default.
- Query selection: Fudge generates the queries; you can add yours.
- Citation tracking: Fudge records both brand mentions and direct citations.
- Update cadence: run the audit again each month.
How Fudge does it
Fudge runs the audit on your live store without changing anything, and ranks what it finds by impact. Ask it to fix an item and it drafts the change in your theme for you to preview and publish.
What an AEO (LLM visibility) audit actually does
AEO — Answer Engine Optimization — is the new layer of search visibility. Where SEO targets Google rankings, AEO targets citations in ChatGPT, Perplexity, Gemini, and Claude. The audit queries each LLM with the questions your store should appear on, captures which ones cite you vs. competitors, and surfaces content gaps causing the misses.
When to run this audit
Run the AEO audit if you care about long-term search visibility. AI assistants now answer many informational and product questions, and brands they don’t mention miss those shoppers.
Re-run monthly — LLM rankings shift faster than Google rankings, and a brand cited last month may be uncited this month.
What makes a great audit
- All four major LLMs queried — ChatGPT, Perplexity, Gemini, Claude. They cite differently.
- Category-relevant queries — queries your store should appear on, generated from your catalog and category research.
- Citation matrix — for each query, which LLMs cite you, which cite competitors, which cite neither.
- Content gap analysis — what content type would close each gap. Usually missing FAQ, missing schema, missing category page.
Common mistakes to avoid
The biggest mistake is auditing once and assuming the picture is stable. Run the audit again each month and after big content changes.
The second mistake is treating AEO as tag tweaks. AI search engines weight authority, evidence, and citation patterns. The fixes are content-substantive (real evidence, citation-friendly structure), not tag-tweaking.
Pair this with SEO audit + fix list and llms.txt management — three complementary tools for the full search-visibility stack. Fudge runs this audit as part of its AI discovery work. No one can promise a citation, but the audit shows what assistants have to work with.