AI / GEO
Content Chunk Extractability Analyzer
AI answer engines and RAG systems do not read your whole page — they retrieve one passage at a time and show it alone. This tool splits your content the same way and scores every chunk on whether it still makes sense with no surrounding context.
These heuristics are tuned for English text; word counts and structure detection still work on other Latin-script languages, but the pronoun and phrase checks are English-specific.
What this tool checks
AI Overviews, ChatGPT, Perplexity and RAG-based search all work the same way underneath: they split a page into passages ("chunks"), store each one separately, and retrieve only the one or two chunks that answer a query — the rest of the page is never shown to the model. A chunk that relies on something said earlier on the page, opens mid-thought, or leans on an undefined acronym will confuse or get dropped by that retrieval step, even if the full page reads perfectly. This tool rebuilds that chunking step and grades each resulting passage for self-containment.
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.
Frequently asked questions
Is this the same as the readability or keyword density checker?
No. Readability measures whether a human can read the text comfortably; this tool measures whether one passage, shown completely alone with no page around it, still makes sense — a distinct problem that only matters because AI answer engines retrieve and display 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.