AI / GEO
Content Chunk Extractability Analyzer
AI answer engine များနှင့် RAG စနစ်များသည် စာမျက်နှာတစ်ခုလုံးကို မဖတ်ပါ — တစ်ကြိမ်လျှင် chunk တစ်ခုကိုသာ ရယူပြီး တစ်ခုတည်း ပြသပါသည်။ ဤကိရိယာသည် သင့်အကြောင်းအရာကို နည်းလမ်းတူ ခွဲခြားပြီး context ပတ်ဝန်းကျင် မရှိဘဲ chunk တစ်ခုစီ အဓိပ္ပာယ်ရှိနေဆဲမှုကို အမှတ်ပေးသည်။
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.
မေးလေ့ရှိသောမေးခွန်းများ
ဤကိရိယာသည် readability သို့မဟုတ် keyword density checker နှင့် တူသလား
မတူပါ။ Readability သည် လူတစ်ဦး အနေစဉ်ဖတ်နိုင်မှုကို တိုင်းတာသည်; ဤကိရိယာသည် စာမျက်နှာ context မပါဘဲ တစ်ခုတည်း အပြည့်အစုံ ပြသသော အပိုင်းတစ်ခု အဓိပ္ပာယ်ရှိနေဆဲမှုကို တိုင်းတာသည် — ၎င်းသည် AI answer engine များက သီးခြား chunk များကို ရယူပြီး ပြသသောကြောင့်သာ အရေးကြီးလာသော ကွဲပြားသည့်ပြဿနာဖြစ်သည်။
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.