Understanding your content score

The content score is a 0–100 rating that measures how well your draft covers recommended topics and places your primary keyword in key positions.

Open a researched Copywriter project with a draft or manual content. The score depends on the project’s recommendations and the text currently saved in that project; it is not a domain-authority score, a technical audit, or a prediction of the page’s final ranking.

How it works

A circular gauge appears in the top-right sidebar. Coverage contributes 85% of the score; primary-keyword placement contributes 15%.

Coverage

Measures which researched concepts appear in your draft. Core concepts carry more weight than supporting concepts, and recognized aliases count toward the same concept. Green means covered; yellow warns about usage above the recommended range. Missing concepts remain uncovered. The bottom “suggestions used” count describes the visible checklist, including related references and custom suggestions; it is not the score’s denominator.

The checklist uses the reviewed entity-engine inventory. Relevant concepts held for client or authority verification can remain visible without entering the score. Hover or focus a reference-only suggestion for its explanation. Naming a sourced product in a comparison is separate from verifying its current price, credentials, or promises. A long marketing sentence from Brand Identity is not automatically added as an exact-match SEO target.

Competitor names saved for the client are left out of the recommendations for an ordinary article or service page, so the score never asks you to name a competitor on a page that should not mention one. Relevant researched competitor names remain targets in comparison formats. A mention counts toward concept coverage; it does not prove that the article adequately compares that option.

Placement

Checks whether your primary keyword appears in 5 key positions:

Title tag
H1
First 100 words
Meta description
Early H2/H3

Each position shows a green checkmark or red X.

Additional context

Word count and target range are shown below the score.
The keyword list is sortable (default: Relevance) and searchable.
You can add custom keywords, copy to clipboard, or export as CSV.
Every uncovered checklist entity has an Add to content action. Research references use neutral context rather than inventing claims about your business.
The Competitors view identifies requested sources that returned no results or were unavailable. Changing a display filter does not create missing Google research.

Improve the score without keyword stuffing

Aim for 70+ where relevant. Prioritize useful, accurate content—don’t force unrelated terms just to reach the target. “Low topic coverage” describes the measured coverage, not a verdict that the page is badly written.

The score is rounded to a whole number. A small coverage improvement may not move it immediately. Repeating an already-covered concept does not earn more points. While a recalculation is pending, the editor shows “Updating”; if scoring fails, it identifies the last known score and retries on your next edit.

Confirm the primary keyword and page goal are correct for the project.
Review missing high-relevance topics and decide which genuinely belong in the page.
Add useful passages that answer the topic, then check whether coverage changes after the draft saves.
Fix primary-keyword placement in the title, H1, opening, meta description, and an early subheading where natural.
Re-read the draft for clarity, duplication, and intent before pursuing additional points.
Use an editor review for broader feedback that the numeric score does not cover.

The expected output is an updated gauge, topic statuses, placement checks, word count, and target range. Scores are project-specific: two projects can recommend different terms or ranges for similar topics because their research and page goals differ.

What the score does not measure

The score does not prove factual accuracy, originality, brand compliance, crawlability, backlinks, page speed, conversion quality, or future rankings. A lower-scoring sentence can be better than a forced keyword insertion. Treat the score as an optimization checklist alongside human editorial judgment and the evidence in the brief.

Tips and best practices

Focus on Coverage first – incorporate missing (red) keywords naturally.
Check Placement second – ensure your primary keyword is in the H1, first 100 words, and meta description.
A higher score indicates stronger coverage of the scored concepts and placement checks. Review missing comparison entries and article structure separately.
Prioritize red keywords for the biggest score improvements.

Troubleshooting

Score seems stuck – Check whether it is updating or displaying a last known score. A newly covered concept may not move the rounded number, and a related reference suggestion may not contribute to the score. Use its explanation before adding more text.
Placement X for Title tag – The title tag is set in the Brief tab, not in the draft body.
A keyword stays red after use – Save the draft and check whether the exact concept, not merely a partial word, was added in a useful context. A recognized name or alias covers the concept; recommended usage guides editing and does not require keyword repetition.
The score drops after an edit – Restoring or replacing text can remove covered topics or placement. Compare the current draft with version history.
No score appears on an existing Quick mode project – That earlier workflow produced keyword research without a draft score. Start a current Create content project and choose Write it myself when you need research with a live editor score.

Creating a content project (Copywriter) — The full content creation workflow that produces your score.
Content editor reference — Detailed reference for the editor sidebar and keyword tools.
Running an editor review — Get AI editorial feedback to improve your score.
Content types: Educate, Discover, Compete, Convert — How content type affects scoring and optimization.