Does AI mention your product when buyers ask?
Three buying-intent queries. Four AI providers. One scan shows exactly where your product is cited, what AI says around it, and where the citation gaps are.
Three queries, four providers, one scan
Enter your product name and up to two use cases. The tool generates the queries, runs them in parallel, and returns citation status for every combination.
"What is [product] and who is it for?"
Tests whether AI can define the product and identify its target customer — the baseline brand-knowledge query.
"Is [product] a good choice for [use case]?"
Without a use case: "Is [product] worth buying?"
Tests use-case citation. If you provide a use case, the query targets it directly. Without a use case, it runs a general purchase intent query.
"What makes [product] different from alternatives for [use case]?"
Without a use case: "How does [product] compare to similar products?"
Tests whether AI mentions the product when a buyer is comparing options — the highest-value purchase-stage query.
ChatGPT
gpt-4o-mini
Claude
claude-haiku-4-5
Google AI Overview
SearchAPI
Google AI Mode
SearchAPI
What your citation rate means
Rate is calculated as: citations received divided by 12 total query/provider runs.
AI systems reliably mention this product by name across most buying-intent queries and providers.
Cited in some query contexts or by some providers, but not consistently. There is a clear optimization gap.
AI systems rarely mention this product by name. The product lacks the structured signals needed for citation.
Citation or no citation — per query, per provider
"Is Meridian Hiking Boot a good choice for plantar fasciitis?"
ChatGPT
...the Meridian Hiking Boot stands out for plantar fasciitis sufferers due to its reinforced arch support and cushioned midsole, which distribute pressure evenly across...
Claude
...Meridian Hiking Boot is a strong option for plantar fasciitis. Its orthopedic-grade insole provides the heel support and arch elevation that most podiatrists recommend...
Google AI Overview
For plantar fasciitis, look for boots with firm arch support, cushioned heel cups, and removable insoles. Key features include...
Google AI Mode
Waterproof hiking boots for plantar fasciitis should prioritize orthopedic support and stability. Brands commonly recommended include...
Illustrative example. The tool shows actual AI responses for your product.
Everything in one 40-credit scan
Three buying-intent queries generated from your inputs
The tool builds three structured queries from your product name and optional use cases: an identity query, a use-case query, and a comparison query. These map directly to the three stages of the AI buying journey — awareness, evaluation, and comparison.
Four providers queried in parallel
All three queries run across ChatGPT, Claude, Google AI Overview, and Google AI Mode simultaneously. Twelve total query/provider combinations run in a single 40-credit scan.
Exact response excerpt around the citation
When a provider mentions your product, the tool extracts a 180-character window centered on the mention — 60 characters before and 120 after — so you can read the exact context in which the product was cited.
Overall citation rate across all providers
Citation rate is the percentage of all 12 query/provider runs where your product name appeared in the response. Rates are benchmarked at three tiers: Strong (60%+), Partial (30-59%), and Weak (under 30%).
Common questions
What exactly counts as a citation?
A citation is recorded when your product name — as you entered it — appears verbatim in the AI's response text. The tool checks for a case-insensitive match of the exact string. If the name appears, the run is counted as cited; if not, it is not. The excerpt shows the text around the match so you can verify the context.
What are the three queries, and can I customize them?
The tool generates three structured buying-intent queries from your product name and use cases: (1) an identity query — 'What is [product] and who is it for?', (2) a use-case query — 'Is [product] a good choice for [use case]?' (or 'Is [product] worth buying?' if no use case is provided), and (3) a comparison query — 'What makes [product] different from alternatives for [use case]?' (or a generic comparison if no second use case is provided). The queries are generated automatically; you shape them by supplying the product type and use cases.
Why do some providers return no excerpt even when not cited?
If the product is not cited, the excerpt shows the first 150 characters of the provider's response. For Google AI Overview and Google AI Mode, if the API returns no structured AI response for that query, the excerpt will be empty — this is a signal that the query did not trigger an AI-generated answer on that platform, not a tool error.
How many credits does a scan cost?
Each scan costs 40 credits and covers all three queries across all four providers — 12 total query/provider runs. You can test up to three use cases per scan by providing them on separate lines.
My citation rate is low. What should I fix first?
If the identity query (Q1) returns no citations, the product description on your site does not give AI systems enough signal to identify and define the product. Start with the Product Optimizer to rewrite the description with the entity-first structure AI systems extract from. Then run the Schema Auditor to add structured product data. For use-case queries, write 'best for [use case]' articles that name the product explicitly.
What is the difference between Google AI Overview and Google AI Mode?
Google AI Overview is the AI-generated summary that appears at the top of Google search results for informational and product queries. Google AI Mode is Google's conversational AI search interface. The scanner tests both separately because a product can be cited in one but not the other — they draw from different signals and ranking systems.
Find out if AI is sending buyers your way
Run three buying-intent queries across four AI providers. See your citation rate, read the exact excerpts, and know what to fix.
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