Reading score. Honest readability check.
Paste any text. Get Flesch Reading Ease, Flesch-Kincaid Grade Level and a UK reader tier. Useful when writing for AI extraction - extractable answers tend to score 50-70.
What target to aim for
| Score | Level | Use for |
|---|---|---|
| 90-100 | Very easy | Children's content |
| 80-89 | Easy | Conversational, social posts |
| 70-79 | Fairly easy | Most blog content, B2C |
| 60-69 | Plain English | B2B marketing, AI extraction sweet spot |
| 50-59 | Fairly difficult | Professional content, white papers |
| 30-49 | Difficult | Academic, legal, technical specs |
| 0-29 | Very difficult | Specialist research |
Why this matters for AI search. AI engines tend to extract from passages that read as confident, declarative statements. Very low scores (under 40) reduce the chance of clean extraction. Very high scores (over 80) often miss the substance that makes a page citation-worthy. The 50-70 band is the practical sweet spot for most UK B2B content.
When to use the Flesch reading score tool
Use this on answer blocks, intros, FAQs and service-page sections that need to be easy for people and AI engines to parse. The goal is not childish copy. The goal is clear, direct sentences that still carry substance.
- A 50-70 score is usually a good band for UK B2B search content.
- Very low scores often mean sentences are doing too much work.
- Very high scores can mean the section is too thin to be citation-worthy.