AI Brand Visibility Checker
Free, no signup. Compare what one model says from parametric memory with what it says when constrained to your supplied context, then inspect answer, fact, support, citation, and freshness drift.
Your input is sent to the AI model to generate a result — it is not stored afterward. The model checks send the brand research question and, for the grounded column, extracted supplied context to the bounded Workers AI endpoint. Saved snapshots stay in this browser's localStorage. Anonymous run-level outcome counters may be used for aggregate research; URLs, domains, IPs, and identifiers are never included, and no statistic is released below 100 runs.
Sample report
Illustrative unavailable-state report — no brand response invented
Workers AI model · retrieval off · degraded
No live model result is available. Add a BYO key in a future run or review the supplied facts manually.
Brand mention: not evaluated
Other model profiles
Not evaluated — no provider-specific run occurred; do not infer a zero mention or citation rate.
How to use it
- Enter the brand and known aliases.
- Add facts you want to compare literally with the response and select one research framing.
- Run the model check and record the model, retrieval state, and mode with the result.
- Save a local snapshot only after reviewing it; compare repeated runs as samples, not a universal score.
Site passport Local context for this saved site
Local data
Saved targets, named lists, and recent check summaries remain only in this browser.
Saved snapshots
No snapshots saved in this browser yet.
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What the results mean
- Brand mentioned is a normalized brand-or-alias text match in the sampled response.
- Retrieval off means no grounded web citations were requested.
- Simulation identifies a completed point-in-time model observation; degraded/not evaluated preserves an unavailable or refused run.
- Stated, not clearly stated, and possible conflict compare your browser-local fact text with the closest raw-answer sentence. They are observations about this answer, not factual verdicts.
How it works
A transparent probe builder turns the selected framing into a bounded request for one Workers AI profile with retrieval off. Local functions match the brand and aliases, compare supplied facts, label unrun model profiles not evaluated, and serialize reviewed snapshots to localStorage.
Features
- Four repeatable research framings.
- Brand and alias mention matching.
- User-supplied fact comparison.
- Explicit model, retrieval, and unavailable states.
- Up to 20 device-local snapshots.
Limitations
One model response is unstable and not representative of ChatGPT, Gemini, search systems, other prompts, regions, or dates. Retrieval is off, so this run cannot measure citations. Literal fact matching is not factual verification, and local snapshots are not continuous monitoring.
AI answers may continue to reflect cached or previously retrieved material for days to weeks after a fix. Recheck over time before treating an unchanged answer as proof that the fix failed.
Frequently asked questions
Is this an AI visibility score?
No. It records one retrieval-off response from one Workers AI model under a selected framing. One sample cannot represent product-wide visibilityLLM visibility (or AI visibility) is the aggregate measure of how often and how prominently a brand or page shows up in AI-generated answers — across AI Overviews, ChatGPT, Perplexity, Copilot, and Gemini. It's the AI-search analog of organic visibility, but it's driven by different signals. or market share.
Is a brand mention the same as a citation?
No. A mention is matched brand text in the response. This retrieval-off run supplies no source citationAn AI citation is the visible source link an AI answer engine shows next to its generated text — the clickable reference that credits the web page it used. A citation's presence is a separate thing from whether the cited page actually supports the statement, and from being retrieved (read behind the scenes) or merely mentioned (named without a link); citation is driven more by brand mentions and being retrievable than by traditional ranking., and the tool does not convert mentions into citation rates.
Why are other model profiles marked not evaluated?
They were not queried. The tool preserves that unavailable state rather than treating an unrun provider as zero visibility.
Where are saved snapshots stored?
Up to 20 snapshots are stored in this browser’s localStorage. They are device-local and are not a shared monitoring history.
Feature requests for Ai Brand Visibility
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Common issues & how to fix them
- Warnings Known brand fact is missing from the sampled answer Fix: Publish the missing fact consistently on authoritative first-party pages and profiles using clear entity-and-attribute wording.
- Errors Sampled answer contradicts a known brand fact Fix: Correct the conflicting fact across first-party and trusted third-party sources, then retest multiple model samples.
- Warnings Competitor receives stronger coverage Fix: Build authoritative category content and independent mentions that clearly connect the brand to the tested use case.
- Warnings Answer lacks authoritative source support Fix: Support the answer’s important brand claims with crawlable first-party evidence and corroborating authoritative sources.
- Information Model samples disagree materially Fix: Run more samples across prompts and models, then act only on facts or visibility gaps that repeat consistently.