See where AI recommends competitors instead of you. RecoProof writes five commercial buyer questions for your category; you ask them in ChatGPT, Perplexity, or Google AI Mode and record who gets recommended.
Enter your category and one competitor. We write five commercial questions a buyer would ask. Open each one in ChatGPT, Perplexity or Google AI Mode, then tick what the answer did.
Use a logged-out window or a temporary chat, so memory and past conversations do not shape the answer. One answer can change on the next run; five show whether a pattern holds.
Fill in your brand, category, competitor and country to see the five questions.
Five unbranded questions; one hypothetical provider pass; one fixed market and language. No provider was called to create this example. These invented inputs explain the report fields; the layout is a teaching preview, not a screenshot of a completed audit.
| Question | Mention | Recommendation | Owned citation | Tracked competitor mentions |
|---|---|---|---|---|
| Q1: Which tools help a small SaaS team manage onboarding? | Yes | Yes | Yes | 1 |
| Q2: Which onboarding tools support a self-service workflow? | Yes | No | No | 2 |
| Q3: What are alternatives for a team with limited engineering time? | No | No | No | 1 |
| Q4: Which onboarding tools offer transparent pricing? | No | No | No | 0 |
| Q5: Which tools fit a security-conscious SaaS buyer?Incomplete answer; excluded | Not evaluated | Not evaluated | Not evaluated | Not evaluated |
Exact query, raw response, provider/model, collection time, market/language, response status, entity confidence, and returned citation URLs. There is no real response or citation URL behind this illustrative fixture. An incomplete answer requires investigation; it is not evidence of brand absence, and report delivery remains subject to the quality gate.
Use the metric definitions and denominator rules to interpret your results. For a wider question set and human review, examine the Recommendation Audit scope.
Assistant answers change, so copy each answer and the sources it cites into the free template. Asking the same five questions after you change your pages shows whether anything moved.
Open the free audit templateTo inspect the report format, open the labelled sample report.
It is a structured check of whether a brand is mentioned, recommended, cited, or omitted for a small set of commercially meaningful AI questions. Keeping the tested questions and answers together lets the result be reviewed rather than treated as a universal ranking.
AI discoverability describes whether a product can surface when someone asks an AI system to find, compare, or recommend options for a relevant need. It is useful terminology, not a proprietary or universally standardized score. This audit looks at the underlying answers instead.
Traditional SEO commonly evaluates search rankings, crawlability, and organic traffic. A broader digital visibility audit may also cover paid, social, directory, and brand channels. This check is narrower: it evaluates whether an AI assistant mentions or recommends the brand, which competitors appear, and which sources are cited for five commercial questions.
The free check is designed to establish a useful baseline without pretending that one score describes your entire market. It turns your market context into a defined question set that you run in the assistants your buyers use.
Enter your brand, category, buyer country, and one competitor. The page writes five vendor-discovery questions a buyer would ask, without naming your brand.
Open every question in ChatGPT, Perplexity, or Google AI Mode. Ask in a logged-out window or a temporary chat so memory does not shape the answer.
Tick whether each answer mentioned you, recommended you, or recommended your competitor. The page counts the pattern across the questions you asked.
The self-check uses consumer assistants as you see them. Answers can differ by account, memory, location, and time, and one run is not a trend. It does not guarantee future inclusion or rankings. Results apply to the questions, assistant, and moment you asked.
The questions are built in your browser and the assistants open in new tabs. What you enter and tick is not sent to RecoProof; reload the page and it is gone.
A brand can be understood by an answer engine and still be absent from the shortlist. The self-check separates a passing mention from a recommendation and records whether your competitor was recommended in the same answer; the citations may explain why.
Review the evidence formatQuestions open in ChatGPT, Perplexity, and Google AI Mode. It is not an always-on tracker, and a consumer session is not a controlled measurement: the paid audit records the model, time, and conditions of every answer.
The self-check is your first read. If the gap warrants deeper investigation, the paid Recommendation Audit expands the question and model coverage, applies publication quality gates, and delivers a human-reviewed action plan.
The self-check covers five commercial questions you ask in consumer assistants. The paid Recommendation Audit runs up to 30 approved questions on GPT-6.1 Sol, Gemini 4 Argon, and Perplexity Sonar under recorded conditions and delivers a quality-gated web report, PDF, CSV, prioritized actions, and human review when evidence raises an exception. Neither guarantees future AI inclusion or ranking.
Need to check Google AI Overviews specifically? Use the Google AI search visibility workflow and compare Google AI Overview checkers and trackers; AI Overviews appear in regular results, which this check does not open. For ongoing work across answer engines, the AI visibility tools guide explains monitoring and audit options.
Yes. The self-check runs in your browser and in the assistants you already use. RecoProof calls no AI model for it and stores nothing you enter, so there is no account and no usage limit.
Partly. You ask in the same consumer assistants buyers use, but answers vary with account, memory, location, and time. A logged-out window or temporary chat reduces personalization; asking the same question again shows how much an answer moves.
It uses your category and buyer country to frame five commercial questions. For each answer you record whether your brand was mentioned or recommended and whether your selected competitor was recommended.
AI discoverability is a useful descriptive term for whether a brand or product surfaces when people ask relevant AI-powered discovery, comparison, or recommendation questions. It is not a universal standardized metric; RecoProof records the underlying mentions, recommendations, competitors, and citations instead.
Keep the answers and citations in the free CSV template and ask the same questions again after you change your pages. If the gap warrants deeper investigation, the paid Recommendation Audit runs up to 30 approved questions under recorded model conditions, retains every answer and citation, and adds human review and prioritized actions.
No. The self-check is your own reading of answers you collected, and RecoProof never sees them. The paid Recommendation Audit adds a human-reviewed deliverable and exception handling.
No. Results apply only to the questions asked, the assistant, and the time of asking. RecoProof does not guarantee inclusion, citations, recommendations, or rankings.
Enter your category and one competitor, then ask the questions in the assistants your buyers use.
Check My AI Visibility — FreeAnalytics preferences
RecoProof uses optional Google Analytics to understand acquisition, product activation, and purchases. Advertising storage and personalization remain disabled. Rejecting analytics does not affect the product.