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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.

Built by Patrick Stox

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.

Feedback
Report a bug

Found something broken in Ai Brand Visibility? Let us know what happened — this goes straight to a private triage queue, not a public list.

What will be sent 
 No tool inputs, uploads, pasted source, complete results, query parameters, or URL fragments are attached automatically. You can edit or remove the selected passage above. Browser and anti-abuse metadata is processed for spam prevention. 
  
 
  
 
 
  
 
 
  
 
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
  1. Enter the brand and known aliases.
  2. Add facts you want to compare literally with the response and select one research framing.
  3. Run the model check and record the model, retrieval state, and mode with the result.
  4. Save a local snapshot only after reviewing it; compare repeated runs as samples, not a universal score.
 
 
      
 
Saved snapshots
No snapshots saved in this browser yet.
   
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 visibility 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 citation, 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.
Next stepAI Content Brief Generator — generate the corrected version.

People also explore
ToolAI Citation Readiness CheckerToolAI Search Evidence LabToolCitation Gap CheckerArticleRetrieved vs. Mentioned vs. Cited in AIArticleAI Search Measurement MethodologyArticleKnowledge Graph SEO
 
 
 
Feature requests for Ai Brand Visibility
 

Upvote what you want most. New ideas can be submitted from the floating Feedback menu;
      requests appear here once approved, and the most-wanted rise to the top.

   
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ツールについて
ブランドについてラベル付けされたモデル回答をサンプルし、言及と引用を区別して、ローカルスナップショットを比較用に保存します。
検索なしのモデル観測と、提供した文脈に制約された結果を分け、回答・事実・根拠・鮮度のずれを確認します。
機能
  • 4つの再現可能な調査フレーミング
  • ブランドと別名の言及マッチング
  • ユーザー提供の事実比較
  • モデル・検索・利用不能状態の明示
仕組み
選択したフレーミングを検索なしのWorkers AIプロファイルへの制限付きリクエストに変換し、ブランドと別名を照合します。提供した事実、未実行のモデル状態、ローカルスナップショットを分けて記録します。
制限事項
  • 1件のモデル回答は不安定で、ChatGPT、Gemini、検索システム、他のプロンプト、地域、日付を代表しません。検索を無効にしているため引用は測定できず、文字どおりの事実一致は事実検証ではありません。
  • ローカルスナップショットは継続監視ではありません。
よくある質問
ブランドへの言及は引用と同じですか？
いいえ。言及は回答中に一致したブランド文字列です。この検索なしの実行は出典引用を提供せず、言及を引用率に変換しません。
他のモデルプロファイルが未評価なのはなぜですか？
それらは問い合わせていません。未実行のプロバイダーを可視性ゼロとして扱わず、利用不能の状態を保持します。
保存したスナップショットはどこに保存されますか？
このブラウザーのlocalStorageに最大20件保存されます。端末内だけのデータで、共有監視履歴ではありません。