AI Content Optimizer
Analyze content for readability, structure, and topic coverage.
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About AI Content Optimizer
Before an article goes live it helps to know whether it reads easily, whether the headings hold together and whether each paragraph stays on the keyword you are targeting. Paste the content and a primary keyword or topic. The server measures Flesch Reading Ease, heading structure from Markdown or HTML headings, keyword count and density, and topic coverage with a sentence-embedding model, then returns a score out of 100 and recommendations tied to the weakest measure.
Features
- Flesch Reading Ease with a Good, Fair or Difficult label
- Heading structure read from Markdown # headings and HTML h1 to h6 tags
- Keyword count and density for the keyword you enter
- Topic coverage: the share of paragraphs close in meaning to your keyword
- Rule-based search intent label: informational, commercial, transactional or navigational
- Recommendations chosen by which measure is weakest
Limitations
- It does not predict or guarantee search rankings; the score is a plain average of four measures, not a model of any search engine.
- Topic coverage is withheld for content under 100 words, uses the first 60 paragraphs, and skips paragraphs of 40 characters or fewer.
- Content can be up to 50,000 characters; Flesch Reading Ease is an English-language formula, and search intent comes from signal words, not real search data.
- Your content is sent to our server for analysis, and the result is held for a limited time and then cleared automatically.
How it works
- Paste the article or page content into Content; the counter shows how much of the 50,000 characters you have used.
- Enter the primary keyword or topic.
- Select Analyze content and wait while the server runs the checks.
- Read the Content Quality score and the cards for Search Intent, Readability, Topic Coverage, Keyword Usage and Structure.
- Work through the numbered recommendations, each triggered by a specific measure.
Example input
Content: "Our new running shoes are lightweight and comfortable."
Target keyword: "best running shoes for beginners"Frequently asked questions
- It is the plain average of four parts: the readability score, a value for heading structure, whether your keyword appears at all, and topic coverage. If coverage cannot be measured, a neutral value takes its place. The score describes the text, not how it will rank.
- Needs work means no H1, more than one H1, or a skipped level such as H1 straight to H3. Fair means one H1 in a sensible order, more than one heading and no H2. Anything else reads Good.
- It splits the content into paragraphs at blank lines, compares each one with your keyword using the all-MiniLM-L6-v2 embedding model, and reports the share that clears a fixed closeness cutoff. Short texts show Not enough text instead of a percentage.
- Keyword usage counts whole-phrase matches after lowercasing and stripping punctuation, so a plural or a reworded phrase is not counted. Density above 3% triggers a suggestion to vary the wording.
- The analysis still runs, but there is nothing to measure usage or coverage against, so Keyword Usage reads Missing and Topic Coverage is empty. That pulls the overall score down. Enter the keyword or topic for a meaningful result.
Related tools
- Keyword Density CheckerCheck keyword density and top phrases in your content.
- Word CounterCount words, characters, sentences and get reading time.
- SERP PreviewPreview your page in desktop and mobile search results.
- Meta Tag GeneratorGenerate HTML meta tags, Open Graph and Twitter/X Card tags.
- Plagiarism CheckerCompare two documents for potentially matching content.