AI Citation Readiness Checker

Free, no signup. See whether a page gives an answer engine something clear to retrieve and cite. Citability is scored separately from retrieval evidence, and page content stays in your browser.

Before

A detailed page that is unindexed or answers only after a long introduction.

After

A retrievable page with a direct first answer, named evidence, and self-contained chunks.

SEO and answer-engine readiness
SignalSEOAnswer readiness
Rank ImportantA retrieval gate
Direct answer HelpfulCore citability input
Freshness ContextualPer-model multiplier

Pasted content is analyzed in your browser. A URL is sent only to the protected fetch endpoint; paste content takes priority. After a successful URL check, only its domain is remembered locally.

Visible scoring buckets
BucketWeight
Retrievability: rank / authority / indexation / freshness / technical / AI access 30 / 20 / 15 / 15 / 10 / 10
Citability: relevance / coverage / quotability / information gain / authority 30 / 20 / 20 / 15 / 15

General preserves the base checks. Named profiles add their dated required signals; unavailable pack fields remain not evaluated.

Runs entirely in your browser — nothing you paste is uploaded or stored. Page content and scoring stay in your browser. 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 Answer Ready Grader? 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 Built-in deterministic example

The Try an example button uses a dated, attributed paragraph answering “What does a canonical tag do?” and deliberately leaves all external evidence blank. Its honest output shape is:

Citability: a numeric local score

Retrievability: not evaluated — add rank, authority, and indexation

Citation likelihood: not computed

✓ Direct answer near the start
✓ Visible update date
✓ Author or reviewer signal

The example does not freeze a fabricated citation probability. The live deterministic engine calculates the citability number from the supplied paragraph while the retrieval gate remains closed.

How to use it

  1. Paste one page’s visible text or HTML and enter the exact question it should answer.
  2. Optionally enter rank, authority, and indexation evidence on a 0–100 scale. Leave unknown values blank.
  3. Select Grade page, or use the built-in example to see the output shape.
  4. Improve the weakest content checks, then re-run. Do not fill retrieval fields with guesses merely to obtain a citation-likelihood number.

What the results mean

  • Citability — a weighted combination of lexical chunk relevance, answer coverage, quotability density, assumed information gain, and supplied authority.
  • Retrievability — a weighted score only when rank, authority, and indexation evidence are all present.
  • Citation likelihood — retrievability multiplied by citability; not computed when the retrieval gate is incomplete.
  • Pass / warning checks — visible content patterns for an early direct answer, update date, author or reviewer signal, plus selected profile signals.
  • Consumer-product context — dated qualitative priors shown as context only; every product remains not evaluated because this checker did not query it.

How it works

The local engine extracts readable blocks, creates roughly 300-token chunks, ranks them against the target question with lexical retrieval, and scores answer-shaped sentences and quotability. The scoring module combines those values with the visible weights shown above. Unknown rank, authority, or indexation remains the literal state not evaluated; the multiplication step will not run until all retrieval evidence exists.

Features

  • Text or HTML input processed in the browser.
  • Separate citability and retrievability stages.
  • Visible weights and a strict missing-evidence gate.
  • Three actionable page checks plus a question-specific chunk match.
  • Built-in example that demonstrates a deliberately uncomputed outcome.

Limitations

Lexical overlap misses synonyms and semantic matches. The content checks recognize simple wording patterns rather than meaning, and technical/access values currently use fixed assumptions. Rank, authority, and indexation are user inputs and are not verified. Dated consumer-product profiles are contextual industry priors, not provider disclosures or observations from this run. The report cannot predict a citation for any query or product.

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

What is the difference between citability and retrievability?

Citability describes whether the pasted page contains a relevant, answer-shaped passage. Retrievability uses external evidence such as rank, authority, and indexation. A page can write a strong answer that an engine never retrieves.

Why is citation likelihood not computed?

Citation likelihood is gated. If rank, authority, or indexation is blank, the tool reports those inputs as not evaluated and refuses to turn missing evidence into a numeric prediction.

Is this an AI visibility score?

No. It is a transparent page-content heuristic plus optional user-supplied retrieval evidence. It does not observe an answer engine, prompt set, citation corpus, or live model behavior.

Why are consumer AI products listed as not evaluated?

The checker analyzes only the supplied page. The dated product profiles provide context, but no product-specific prompt or citation observation occurred, so the tool does not manufacture per-product scores.

What should I do with a warning?

Read the specific check, then improve the page only when the recommendation fits the query and remains accurate. A direct answer, meaningful date, and qualified author signal are useful when they are genuine, not when added mechanically.

Next stepQuotability & Entity-Preserving Rewriter — generate the corrected version.

Feature requests for Answer Ready Grader

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Tentang alat

Bagaimana untuk gunakan ini Tempel satu halaman’s terlihat teks atau HTML dan masukkan tepat pertanyaan ini seharusnya jawaban. Optionally masukkan rank, authority, dan pengindeksan bukti pada 0–100 scale. Biarkan tidak diketahui nilai blank. Pilih Grade halaman, atau gunakan dibangun-di contoh untuk melihat keluaran shape. Improve weakest konten memeriksa, lalu re-jalankan. tidak fill retrieval fields dengan guesses merely untuk obtain citation-likelihood number.

Arti hasil Citability — weighted kombinasi dari lexical chunk relevance, jawaban cakupan, quotability density, assumed information gain, dan yang diberikan authority. Retrievability — weighted score hanya ketika rank, authority, dan pengindeksan bukti adalah semua present. Citation likelihood — retrievability berlipat oleh citability; tidak computed ketika retrieval gate tidak lengkap. Lulus / peringatan memeriksa — terlihat konten pola untuk early langsung jawaban, memperbarui tanggal, author atau reviewer sinyal, plus dipilih profile sinyal. Consumer-produk konteks — dated qualitative priors ditampilkan sebagai konteks hanya; setiap produk tetap tidak dievaluasi karena ini pemeriksa tidak kueri ini.

Home › Alat › AI Citation Readiness Pemeriksa

Fitur

  • Apa seharusnya I dengan peringatan?
  • Citation likelihood = retrieval likelihood × citability. Rank, authority, dan pengindeksan adalah opsional pengguna bukti; ketika mereka tidak ada alat dengan sengaja laporan Citability hanya. Kebaruan adalah dated, per-model multiplier.
  • Citability menjelaskan apakah ditempel halaman berisi relevan, jawaban-shaped bagian. Retrievability menggunakan external bukti seperti sebagai rank, authority, dan pengindeksan. halaman dapat tulis strong jawaban yang mesin tidak pernah retrieves.
  • Apa adalah perbedaan antara citability dan retrievability?
  • Fitur Teks atau HTML masukan diproses di browser. Terpisah citability dan retrievability stages. Terlihat weights dan ketat hilang-bukti gate. Tiga actionable halaman memeriksa plus pertanyaan-spesifik chunk cocok. Dibangun-di contoh yang menunjukkan dengan sengaja uncomputed hasil.

Cara kerja

Batasan Lexical overlap misses synonyms dan semantik cocok. konten memeriksa recognize simple wording pola daripada daripada arti, dan teknis/access nilai currently gunakan tetap assumptions. Rank, authority, dan pengindeksan adalah pengguna masukan dan tidak terverifikasi. Dated consumer-produk profiles adalah contextual industry priors, tidak provider disclosures atau pengamatan dari ini jalankan. laporan tidak dapat predict citation untuk apa pun kueri atau produk. Mengapa adalah citation likelihood tidak computed? Grade halaman citability dan tunjukkan retrieval data masih diperlukan sebelum citation likelihood dapat menjadi computed. pemeriksa analyzes hanya yang diberikan halaman. dated produk profiles provide konteks, tetapi tidak ada produk-spesifik prompt atau citation pengamatan occurred, so alat tidak manufacture per-produk scores.

Batasan

  • Bagaimana ini berfungsi lokal mesin mengekstrak readable memblokir, membuat roughly 300-token chunks, ranks mereka terhadap target pertanyaan dengan lexical retrieval, dan scores jawaban-shaped sentences dan quotability. scoring module combines itu nilai dengan terlihat weights ditampilkan di atas. Tidak diketahui rank, authority, atau pengindeksan tetap literal keadaan tidak dievaluasi; multiplication step akan tidak jalankan until semua retrieval bukti ada.
  • AI Citation Readiness Pemeriksa
  • Citation likelihood adalah gated. Jika rank, authority, atau pengindeksan adalah blank, alat laporan itu masukan sebagai tidak dievaluasi dan menolak untuk turn hilang bukti menjadi numeric prediction.
  • Mengapa adalah consumer AI produk tercantum sebagai tidak dievaluasi?

Pertanyaan umum

Mengapa adalah consumer AI produk tercantum sebagai tidak dievaluasi?

Batasan Lexical overlap misses synonyms dan semantik cocok. konten memeriksa recognize simple wording pola daripada daripada arti, dan teknis/access nilai currently gunakan tetap assumptions. Rank, authority, dan pengindeksan adalah pengguna masukan dan tidak terverifikasi. Dated consumer-produk profiles adalah contextual industry priors, tidak provider disclosures atau pengamatan dari ini jalankan. laporan tidak dapat predict citation untuk apa pun kueri atau produk.

Mengapa adalah citation likelihood tidak computed?

Grade halaman citability dan tunjukkan retrieval data masih diperlukan sebelum citation likelihood dapat menjadi computed.

pemeriksa analyzes hanya yang diberikan halaman. dated produk profiles provide konteks, tetapi tidak ada produk-spesifik prompt atau citation pengamatan occurred, so alat tidak manufacture per-produk scores.

Baca spesifik periksa, lalu improve halaman hanya ketika recommendation fits kueri dan tetap accurate. langsung jawaban, bermakna tanggal, dan qualified author sinyal adalah berguna ketika mereka adalah genuine, tidak ketika added mechanically.

Tidak. Ini adalah transparan halaman-konten heuristic plus opsional pengguna-yang diberikan retrieval bukti. Ini tidak observe jawaban mesin, prompt atur, citation corpus, atau langsung model perilaku.

Gratis, tanpa pendaftaran. Melihat apakah halaman memberikan jawaban mesin something jelas untuk ambil dan cite. Citability adalah scored secara terpisah dari retrieval bukti, dan halaman konten tetap di Anda browser.