See where AI recommends competitors instead of you. RecoProof checks five commercial questions and shows the observed recommendations, citations, competitor displacement, and limitations behind the result.
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.
Start with your public website and business context. The audit workspace guides setup and keeps your questions, evidence and limitations together. The free snapshot is automated; it does not include the paid audit’s human review. Incomplete evidence may require a retry or exception review before a report can be delivered.
Start my free auditWant to inspect an actual retained run first? Open the public sample report and its evidence.
It is a controlled check of whether a brand is mentioned, recommended, cited, or omitted for a small set of commercially meaningful AI questions. RecoProof keeps the tested questions and answer evidence attached so the result can 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 measures the underlying evidence 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 one recorded AI provider 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 connects your public site evidence to a defined question set and one controlled provider pass.
RecoProof reads up to ten public pages to establish what your site clearly says about the brand, category, audience, capabilities, and competitive context.
The check prepares a focused set of vendor-discovery questions grounded in your public website rather than a generic list of high-volume keywords.
The result keeps the tested questions, raw answer evidence, mentions, citations, competitors, limitations, and prioritized observations reviewable.
The free snapshot uses one Sonar Pro pass through Vercel AI Gateway, with an automatic retry only when an answer is empty or uncertain. It is not the same as a personalized consumer session in ChatGPT, Gemini, or Perplexity, and it does not guarantee future inclusion or rankings. Results apply to the recorded questions, provider conditions, and measurement time.
The landing page is public. Authentication begins only when you create the project, so the crawl, benchmark, and resulting report remain attached to your private workspace.
A brand can be understood by an answer engine and still be absent from the shortlist. RecoProof separates a passing mention from a recommendation, records the competing vendor that appears, and retains the citations that may explain the difference.
Review the evidence formatThe free checker uses Sonar Pro through Vercel AI Gateway for the recorded question set. It evaluates public website evidence and answer-level recommendations and citations; it is not an always-on tracker or a substitute for testing every consumer AI interface.
The free snapshot is intentionally bounded and automated. 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 free audit uses up to ten public pages, five commercial questions, and one controlled provider pass with a conditional retry. The paid Recommendation Audit expands the benchmark 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 Search specifically? Use the Google AI search visibility workflow and compare Google AI Overview checkers and trackers; this Sonar Pro snapshot measures a different surface. For ongoing work across answer engines, the AI visibility tools guide explains monitoring and audit options.
Yes. The free visibility snapshot covers up to ten public pages, five commercial questions, and one controlled provider pass. An automatic retry runs only when an answer is empty or uncertain.
No. The free check uses Sonar Pro through Vercel AI Gateway under recorded conditions. It can reveal recommendation and citation gaps, but it does not reproduce a personalized ChatGPT, Gemini, or Perplexity session.
It connects your public site evidence to five commercially relevant questions, then records mentions, recommendations, competitor visibility, citations, and important limitations.
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.
You can review the retained questions, answer evidence, recommendations, competitors, citations, and limitations in your workspace. If the gap warrants deeper investigation, the paid Recommendation Audit expands the question and provider scope and adds human review and prioritized actions.
The free snapshot is a bounded automated first pass. The paid Recommendation Audit expands the evidence and adds a human-reviewed deliverable and exception handling.
No. Results apply only to the recorded questions, provider conditions, and measurement time. RecoProof does not guarantee inclusion, citations, recommendations, or rankings.
Create a secure workspace, provide your public domain and market context, and let RecoProof prepare the bounded evidence check.
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.