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.

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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.

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Tentang alat

Gratis, tanpa pendaftaran. Bandingkan apa satu model says dari parametric memory dengan apa ini says ketika constrained untuk Anda yang diberikan konteks, lalu periksa jawaban, fakta, mendukung, citation, dan kebaruan pergeseran.

Mereka tidak ditanyakan. alat mempertahankan yang tidak tersedia keadaan daripada daripada treating unrun provider sebagai zero visibility.

Tidak. mention adalah cocok merek teks di respons. Ini retrieval-off jalankan supplies tidak ada sumber citation, dan alat tidak convert mentions menjadi citation rates.

Fitur

  • AI Merek Visibility Pemeriksa
  • Bagaimana ini berfungsi transparan probe builder turns dipilih framing menjadi dibatasi permintaan untuk satu Workers AI profile dengan retrieval off. Lokal functions cocok merek dan aliases, bandingkan yang diberikan fakta, label unrun model profiles tidak dievaluasi, dan serialize ditinjau snapshots untuk localStorage.
  • Merek Aliases (satu per baris atau comma-dipisahkan) Diketahui fakta untuk verifikasi (satu per baris) Riset framing Apa adalah ini merek? Bagaimana melakukan ini fit kategori-nya? Ketika akan ini menjadi recommended? Yang fakta melakukan ini keadaan? Yang diberikan halaman konteks untuk grounding lab Jalankan retrieval-off periksa Bandingkan memory vs yang diberikan konteks Simpan lokal snapshot
  • Bagaimana untuk gunakan ini Masukkan merek dan diketahui aliases. Tambah fakta Anda inginkan untuk bandingkan secara harfiah dengan respons dan pilih satu riset framing. Jalankan model periksa dan catat model, retrieval keadaan, dan mode dengan hasil. Simpan lokal snapshot hanya setelah meninjau ini; bandingkan repeated berjalan sebagai sampel, tidak universal score.
  • Periksa apa model says tentang merek, distinguish mention dari citation, dan track perubahan secara lokal.

Cara kerja

Up untuk 20 snapshots adalah disimpan di browser’s localStorage. Mereka adalah device-lokal dan tidak bersama monitoring riwayat. Adalah merek mention sama sebagai citation? Unduh model-periksa CSV Tersimpan snapshots Tidak ada snapshots tersimpan di browser namun. Di mana adalah tersimpan snapshots disimpan?

Batasan

  • Batasan Satu model respons adalah unstable dan tidak perwakilan dari ChatGPT, Gemini, pencarian systems, lain prompts, regions, atau tanggal. Retrieval adalah off, so ini jalankan tidak dapat ukur citations. Literal fakta mencocokkan tidak factual verifikasi, dan lokal snapshots tidak continuous monitoring.
  • Tidak. Ini catatan satu retrieval-off respons dari satu Workers AI model di bawah dipilih framing. Satu Sampel tidak dapat represent produk-wide visibility atau market share.
  • Arti hasil Merek mentioned adalah ternormalisasi merek-atau-alias teks cocok di diambil sampelnya respons. Retrieval off berarti tidak ada grounded web citations adalah requested. Simulasi mengidentifikasi completed titik-di-waktu model pengamatan; degraded/not dievaluasi mempertahankan tidak tersedia atau refused jalankan. Stated, tidak dengan jelas stated, dan mungkin konflik bandingkan Anda browser-lokal fakta teks dengan closest mentah-jawaban sentence. Mereka adalah pengamatan tentang ini jawaban, tidak factual verdicts.
  • Fitur Four dapat diulang riset framings. Merek dan alias mention mencocokkan. Pengguna-yang diberikan fakta comparison. Eksplisit model, retrieval, dan tidak tersedia keadaan. Up untuk 20 device-lokal snapshots.

Pertanyaan umum

Fitur Four dapat diulang riset framings. Merek dan alias mention mencocokkan. Pengguna-yang diberikan fakta comparison. Eksplisit model, retrieval, dan tidak tersedia keadaan. Up untuk 20 device-lokal snapshots.

Up untuk 20 snapshots adalah disimpan di browser’s localStorage. Mereka adalah device-lokal dan tidak bersama monitoring riwayat.

Adalah merek mention sama sebagai citation?

Unduh model-periksa CSV Tersimpan snapshots Tidak ada snapshots tersimpan di browser namun.

Di mana adalah tersimpan snapshots disimpan?

Home › Alat › AI Merek Visibility Pemeriksa

Keduanya lab kolom gunakan sama riset pertanyaan dan Workers AI model rute. “Retrieval off” adalah model-knowledge pengamatan. “Yang diberikan-konteks grounded” tidak langsung web retrieval dan tidak reproduce provider’s pencarian indeks. Inline chunk references dan lokal bagian cocok tidak independent factual verifikasi.

Mengapa adalah lain model profiles marked tidak dievaluasi?