AI / GEO
Content Chunk Extractability Analyzer
AI answer engine and RAG systems don’t read your whole page one shot lah — they pull out one chunk at a time and show that alone. This tool cut your content the same way and check every chunk whether still make sense with zero context around it.
These checks tuned for English text lah — word count and structure still work for other Latin-script languages, but the pronoun and phrase checks very English-specific one.
What this tool check
AI Overviews, ChatGPT, Perplexity, all these RAG-based search all same underneath: they cut a page into chunks, store each one separately, then only pull the one or two chunks that answer the query — rest of the page never shown to the model one. A chunk that depends on something said earlier on page, or start mid-thought, or use an acronym never explained, will confuse or kena dropped at that retrieval step, even if the whole page reads perfectly fine. This tool rebuild that chunking step and grade each chunk for how self-contained it is.
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.
FAQ
Same as the readability or keyword density checker anot?
No lah. Readability check whether human can read comfortably; this one check whether one single chunk, shown alone with zero page around it, still make sense — different problem that only matters because AI answer engine retrieve and show isolated chunks.
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.