AI / GEO
Content Chunk Extractability Analyzer
Hindi binabasa ng AI answer engine at RAG system ang buong pahina mo — isang chunk lang ang kinukuha nila kada isang beses at ipinapakita nang mag-isa. Hinahati ng tool na ito ang content mo sa parehong paraan at binibigyan ng score ang bawat chunk kung sensible pa rin kahit walang konteksto sa paligid.
Ang mga heuristic na ito ay naka-tune para sa English text; gumagana pa rin ang word count at structure detection sa ibang Latin-script na wika, pero ang pronoun at phrase checks ay English-specific.
Ano ang chine-check ng tool na ito
Ang AI Overviews, ChatGPT, Perplexity, at RAG-based na paghahanap ay parehong paraan ng gawa sa ilalim: hinahati nila ang isang pahina sa mga passage ("chunks"), itinatabi ang bawat isa nang hiwalay, at kinukuha lang ang isa o dalawang chunk na sumasagot sa query — hindi na ipapakita sa modelo ang natitirang bahagi ng pahina. Ang chunk na umaasa sa isang bagay na nasabi na dati sa pahina, nagsisimula sa gitna ng isang ideya, o umaasa sa isang hindi ipinaliwanag na acronym ay magiging nakakalito o mata-tanggal sa hakbang na iyon ng retrieval, kahit na maganda ang pagkakasulat ng buong pahina. Muling binubuo ng tool na ito ang hakbang na iyon ng chunking at nire-grade ang bawat resultang passage batay sa self-containment nito.
How chunks are built and scored
Nothing is guessed from a template — every chunk comes from your own pasted text, split the way a heading-aware ingestion pipeline would split it (roughly 150-240 words per chunk, breaking at headings first).
Heading-anchored chunking
Paragraphs are grouped under their nearest heading into passages of roughly 150-240 words each. A single paragraph longer than that is flagged on its own, since an automatic chunker has no natural break point inside it.
Self-containment checks
Each chunk's opening sentence is checked for a dangling pronoun ("This", "It", "They"...) with no antecedent inside that same chunk, and its full text is scanned for backward-looking phrases like "as mentioned above" that only make sense next to a chunk the reader will never see.
Cross-chunk acronym tracking
Every acronym or abbreviation is tracked across the whole document. If it is spelled out in one chunk but reused unexplained in another, that second chunk is flagged — a retrieval system will show it alone, without the definition.
Length and mid-thought cutoffs
Chunks under 40 words are usually too thin to carry a complete idea; chunks that end on a colon or a conjunction ("...and", "...because") read as cut off mid-sentence to anyone shown only that passage.
Mga madalas itanong
Pareho ba ito sa readability o keyword density checker?
Hindi. Sinusukat ng readability kung komportable bang mabasa ng tao ang teksto; sinusukat ng tool na ito kung sensible pa rin ang isang passage kahit ipakita nang buo at mag-isa, walang pahina sa paligid — ibang problema na mahalaga lang dahil kumukuha at nagpapakita ang AI answer engine ng nakahiwalay na mga chunk.
What counts as a "citation-ready" chunk?
A chunk scores 100 minus penalties for each issue found (a severe issue like a dangling pronoun costs more than a minor one like running long). It is marked citation-ready once it scores 80 or higher with no severe issues.
My content reads fine to a human — why are chunks flagged?
A full page reads fine because a human keeps context across paragraphs automatically. A retrieval system does not: it stores and shows one chunk in isolation, so anything that depends on an earlier sentence, an earlier chunk, or an earlier definition can fail silently even though the page itself is well written.
Does this tool send my text anywhere?
Your pasted text is sent once, over HTTPS, to our server to run the chunking and scoring (needed to keep the logic server-side and consistent), and is not stored beyond the request.