V.03 · Visibility & Coverage

See exactly which sentences AI systems are likely to pull.

Paste your content and see sentence-level extraction probability rendered as highlights — green for high extraction likelihood, amber for moderate, grey for low. Know before you publish which sentences will make it into AI answers.

ToolV.03 · v2.2

Built forWriters optimising individual sentences

Time to use~ 3 minutes

OutputSentence-level extraction highlights

GEO

AI Snippet Extractor

Find the sentences most likely to be extracted verbatim by AI systems.

Your text

What is an AI Snippet Extractor? ▼

An AI snippet extractor scores every sentence in your content on the properties that make it most likely to be extracted verbatim by AI systems — tools like ChatGPT, Perplexity, and Google AI Overviews when they generate direct answers from web pages. When an AI system retrieves a page to answer a query, it looks for sentences that are self-contained (readable without surrounding context), make a clear factual assertion, and are the right length to cite directly. This tool scores each sentence on five criteria, highlights your top candidates, and shows you specifically which properties each sentence has or is missing.

How to use the snippet extractor ▼

The highlighted text view shows your full content with the top five most extractable sentences marked. These are the sentences an AI system is most likely to pull verbatim when generating an answer from your page. Use it to see where your strongest material sits — and whether it is distributed across the document or clustered in one section.

The sentence cards show the five top-scoring sentences with a criterion breakdown. Each criterion measures a specific extractability property. The single improvement with the strongest research backing is adding a specific number or statistic to a sentence that currently has none — that criterion has direct research support for increasing AI visibility. The other criteria are evidence-informed heuristics grounded in how NLP systems evaluate sentence independence.

The document score shows your overall extractability baseline. Use it as a before/after comparison point when revising — if your mean score and high-extractability count both rise after an edit, the document is improving in the right direction.

Why this matters for AI & SEO ▼

AI systems tend to extract sentences that are self-contained — readable without surrounding context — and that contain a clear, factual assertion. Research directly supports one criterion above all others: sentences containing statistics or specific data points have measured significantly higher AI visibility. The remaining criteria (length, structure, absence of transitional openers) are evidence-informed heuristics grounded in how natural language processing systems parse and evaluate sentence independence. They are not individually peer-validated but are consistent with published AI content research.

Research basis per criterion ▼

Contains a number or statistic
Statistics and numerical content are associated with increased AI citation probability in peer-reviewed research (approximately +31%, Aggarwal et al. 2024) and increased answer-level absorption in a preprint study (approximately +61%, Zhang et al. 2026, not yet peer-reviewed). These are separate phenomena measured in different studies.

Optimal length (40–60 words)
Evidence-informed guideline — 40–60 words is consistent with GEO research but not established by a controlled study at sentence level.

Self-contained start (no pronoun opener)
Internal writing quality heuristic — not research-validated.

Definitional structure
Zhang et al. (2026) found that pages with high definitional content showed approximately 57% higher absorption in AI-generated answers — this is a page-level finding. This criterion applies that finding at sentence level: the inference is directionally coherent but has not been independently validated at sentence level in peer-reviewed research. Treat as an informed structural heuristic, not an established predictor.

No transitional opener
Internal writing quality heuristic — not research-validated.

Your top extractable sentences will appear here after you click Analyse.

What makes a sentence extractable

Four properties that determine sentence-level extraction likelihood.

R.01

Sentences with statistics are extracted most frequently

A sentence containing a specific statistic — a percentage, ratio, count, or study finding — is significantly more likely to be pulled into an AI answer than a descriptive equivalent. The Snippet Extractor applies higher extraction probability to any sentence with a numeric claim.

R.02

Source-attributed sentences outperform unsourced equivalents

Source-attributed sentences carry stronger evidence weight. Naming your source alongside a statistic reinforces the claim's traceability — Aggarwal et al. (2024) found source attribution associated with approximately +30% citation probability. Note: this tool scores statistics presence; source attribution is a further writing strategy that the tool does not score directly.

R.03

Definitional sentences are high-extraction anchors

Sentences that define a concept — "Evidence density is a measure of…", "GEO refers to the practice of…" — are strong extraction candidates. AI systems construct answers by pulling definitions, then supporting evidence. A clear definitional sentence near the top of a section is a high-value extraction target.

R.04

Sentence length affects extractability

Sentences of 40–60 words tend to be the most extractable in this tool's scoring model — long enough to be substantive, short enough to be usable as a discrete answer fragment. Sentences under 15 words are too thin to carry a complete claim. Sentences over 80 words introduce parsing complexity. The tool scores sentence length as part of the extraction probability calculation.

See your highest-extraction sentences.

Paste any piece of content and see immediately which sentences AI systems are most likely to pull into answers — before you publish.

Analyse your content ↑ ← Back to Evidence Density Score