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 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.
Feature requests for Ai Brand Visibility
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حول الأداة
تحقّق ما واحد نموذج يقول حول واحد brand, distinguish واحد يذكر من واحد citation, و يتتبّع تغييرات محليًا.
مجاني, من دون تسجيل. قارن ما واحد نموذج يقول من parametric ذاكرة مع ما إنه يقول عندما constrained إلى الخاص بك مقدّم سياق, ثم افحص إجابة, حقيقة, دعم, citation, و حداثة انحراف.
الميزات
- أربعة قابل للتكرار بحث framings.
- Brand و اسم مستعار يذكر مطابق.
- User-supplied حقيقة مقارنة.
- صريح نموذج, الاسترجاع, و غير متاح حالات.
- Up إلى 20 device-local لقطات.
كيفية العمل
واحد شفاف مسبار منشئ يتحول ال مختار تأطير إلى واحد محدود طلب من أجل واحد Workers AI ملف تعريف مع الاسترجاع off. محلي دوال تطابق ال brand و أسماء مستعارة, قارن مقدّم حقائق, تسمية unrun نموذج ملفات تعريف ليس مُقيَّم, و serialize مُراجَع لقطات إلى localStorage.
القيود
- واحد نموذج استجابة هو unstable و ليس تمثيلي من ChatGPT, Gemini, بحث أنظمة, آخر مطالبات, regions, أو تواريخ. الاسترجاع هو off, لذلك هذا شغّل لا يمكن قياس citations. Literal حقيقة مطابق هو ليس factual تحقّق, و محلي لقطات هي ليس continuous مراقبة.
- إجابة تخزين مؤقت و regeneration توقيت varies بواسطة مزود, لذلك واحد مفرد ملاحظة لا يمكن يثبت واحد lasting ظهور اتجاه.
الأسئلة الشائعة
هو هذا واحد AI ظهور درجة?
لا. إنه سجلات واحد الاسترجاع-off استجابة من واحد Workers AI نموذج تحت واحد مختار تأطير. واحد عينة لا يمكن يمثل على مستوى المنتج ظهور أو سوق مشاركة.
هو واحد brand يذكر ال نفس باعتباره واحد citation?
لا. واحد يذكر هو مطابق brand نص في ال استجابة. هذا الاسترجاع-off شغّل يقدّم لا مصدر citation, و ال الأداة يفعل ليس يحوّل mentions إلى citation معدلات.
لماذا هي آخر نموذج ملفات تعريف موسوم ليس مُقيَّم?
هم كانت ليس مستعلم عنه. ال الأداة يحافظ على ذلك غير متاح حالة بدلًا من معالجة واحد unrun مزود باعتباره صفر ظهور.