Reading-Grade Analyser
Score any paragraph on readability — because AI Overviews reward clarity.
Flesch–Kincaid grade level, average sentence length, passive-voice ratio. A quick sanity check on top-of-page copy before you publish.
Readability isn't a vanity metric. It's a proxy for how quickly a reader — human or machine — can extract the answer from your text. Flesch-Kincaid grade level estimates the US school-grade a reader would need to comprehend a passage on first pass, based on average sentence length and average syllables per word. It's a blunt instrument, but a genuinely useful one: text that scores in the high teens is almost always over-engineered, laden with subordinate clauses, and slower to parse than the same idea expressed simply.
This matters more now than it did five years ago. AI Overviews, ChatGPT's browsing mode, and Perplexity all favour source passages that state an answer plainly and early, because extractive summarisation systems perform better against clear, self-contained sentences than against dense, qualifier-heavy prose. Clarity has become a citation-worthiness signal, not just a UX nicety.
Interpreting the grade-level score
A grade level of 6-8 is comfortable for a general consumer audience and is the sweet spot for most top-of-funnel content, help documentation, and FAQ answers. A grade level of 9-12 is reasonable for B2B and technical content where the audience has domain expertise but still benefits from concise sentences. Anything above 13-14 usually signals dense academic phrasing, long sentences stacked with subordinate clauses, or excessive jargon — even for a specialist reader, this slows comprehension and increases the odds a passage gets skipped rather than cited.
The score is a diagnostic, not a target to game. Artificially chopping every sentence to eight words produces choppy, robotic copy that reads worse to a human even if the formula score improves. Use the number to flag paragraphs worth a second read, not as a pass/fail gate applied mechanically.
Sentence length and passive voice
Average sentence length above roughly 22-25 words correlates strongly with comprehension friction — readers lose the subject of a sentence by the time they reach the verb. Passive voice isn't inherently wrong (it's the right choice when the actor is unknown or irrelevant), but a passive ratio above 20% across a passage usually indicates hedged, evasive writing that buries who's doing what to whom, which both human readers and extractive AI systems struggle to summarise cleanly.
- Grade level 6-8: ideal for consumer-facing intros, FAQs, and answer-boxes.
- Grade level 9-12: acceptable for B2B and technical explainer content.
- Grade level 13+: flag for simplification — check for long subordinate clauses and jargon stacking.
- Average sentence length over 22 words: look for a natural break point and split.
- Passive voice over 20%: rewrite the worst offenders to name the actor directly.
Where readability fits your AEO/GEO workflow
The first 40-60 words of a page carry disproportionate weight for both classic featured snippets and modern AI Overviews, because extraction systems weight early, self-contained statements more heavily than material buried three paragraphs deep. Run your opening paragraph through this analyser before anything else on the page — if it scores poorly, fix that paragraph first, since it's the section most likely to be lifted verbatim into an AI answer or snippet.
E-E-A-T guidance from Google's Search Quality Rater Guidelines doesn't mention Flesch-Kincaid directly, but the underlying principle — that expert content should be clear and usable, not needlessly obscure — lines up with what this tool measures. Clarity signals competence; needless complexity, in most B2B and consumer content, signals the opposite.
Step-by-step workflow
- 1Draft your opening paragraph first
Write the answer plainly before layering in nuance further down the page.
- 2Paste it into the analyser
Run the exact copy you intend to publish, not a simplified test version.
- 3Check grade level against your audience
6-8 for consumer, 9-12 for B2B — flag anything meaningfully above that band.
- 4Scan the passive-voice ratio
Rewrite the worst passive constructions to name the actor directly.
- 5Split long sentences at natural clause breaks
Aim to bring average sentence length under 22 words without fragmenting the idea.
- 6Re-test after editing
Confirm the rewrite actually improved the score rather than just feeling shorter.
Frequently asked questions
- What reading grade should my homepage copy target?
- For most consumer and mixed B2B/B2C sites, aim for grade 6-9. Highly technical or enterprise B2B audiences can tolerate 9-12, but rarely benefit from going higher.
- Does Google use Flesch-Kincaid as a ranking factor?
- No published Google ranking system scores pages on Flesch-Kincaid directly. Readability correlates indirectly with rankings through user engagement and, increasingly, through how easily AI systems can extract and cite a passage.
- Is a lower grade level always better?
- Not always — content aimed at specialists (legal, medical, engineering audiences) can legitimately sit higher, since oversimplifying technical material can reduce accuracy and credibility. Match the target grade to the actual audience, not a universal minimum.
- Why does passive voice sometimes make sense to keep?
- Passive voice is correct when the actor is unknown, irrelevant, or when you want to emphasise the object of the action ("the report was published in 2024" vs. naming who published it). The 20% threshold is a flag for review, not an absolute rule to eliminate every instance.
- Can I use this tool on non-English text?
- The underlying Flesch-Kincaid formula is calibrated for English syllable and word patterns; running other languages through it will produce unreliable scores. Use a language-specific readability formula for non-English copy.
- How long a passage should I test at once?
- Test in paragraph-sized chunks (80-200 words) rather than whole articles — averaging across a long article can hide a badly-written opening paragraph, which is the section that matters most for snippets and AI extraction.
- ·QA'ing intro paragraphs
- ·Simplifying B2B copy
- ·Meeting E-E-A-T clarity signals
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