TextPulses - 6 min read
How PublishFit Score Works
See how TextPulses evaluates publication readiness with transparent rules for different channels.
Last updated: April 26, 2026
Why one score is not enough
The same text can be perfect for one channel and wrong for another. A 55 character line might be excellent for an SEO title, too short for a LinkedIn post, and irrelevant for a speech script.
PublishFit Score starts by asking where the text will be used. The selected preset changes the length expectations and recommendations.
Signals used in the score
PublishFit combines length fit, clarity, keyword balance, readability, and lexical variety. These are rule-based signals calculated in the browser.
The score does not use external AI, does not send the draft to a server, and does not claim to predict rankings, engagement, grades, or conversions.
How to use it well
Use the score as a revision checklist. If a draft is too long, decide whether to trim or change the selected channel. If keyword balance is low, reduce repetition. If readability is weak, review long sentences.
A high score means the draft fits the selected rules reasonably well. Human review still matters for accuracy, tone, originality, and context.
PublishFit preset examples
| Preset | Primary measure | Main warning |
|---|---|---|
| Meta Description | 120-160 characters | Too short or too long for a useful snippet. |
| Email Subject | 30-60 characters | Hard to scan in an inbox. |
| Blog Article | 600+ words | Thin content or weak structure. |
| Speech Script | Speaking time | Runs too short or too long when delivered aloud. |
Before and after
Before
This tool counts words and helps writers.
After
Count words, check readability, and see whether your draft fits SEO snippets, social posts, emails, essays, and speeches.
The after version is stronger for a meta description because it names use cases and value.
Mini case
Mini case: same text, different channel
A 155 character sentence scores well as a meta description but poorly as a LinkedIn post because the professional context is too thin. Changing the preset reveals that readiness depends on the destination.
Common mistakes
- Choosing the wrong preset and treating the score as universal.
- Optimizing the number without reading the recommendations.
- Assuming a high score guarantees search or social performance.
Practical checklist
- Choose the correct channel preset.
- Review the length status first.
- Use recommendations as revision prompts.
- Check long sentences and repeated words manually.
- Do not treat the score as a publishing guarantee.
Quick answers
Does PublishFit use AI?
No. It uses transparent browser-side rules based on length, readability, repetition, and related writing signals.
Can PublishFit predict performance?
No. It estimates format readiness, not rankings, engagement, or audience response.
Why does my score change when I switch presets?
Each preset has different length expectations and recommendations because each publishing channel has different constraints.
Should I always aim for 100?
No. Aim for a useful draft. A score in the good range can still be ready if the text fits the real audience and context.