Article SEO Score and Fix Plan
Pricing
Pay per usage
Article SEO Score and Fix Plan
Audit any article or draft before publishing. Get a content readiness score, top SEO issues, keyword and structure gaps, internal-link opportunities, and a prioritized fix plan for faster rewrites.
Pricing
Pay per usage
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Developer
Uygar Duzgun
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1
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a day ago
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Check an existing article or draft and get a content readiness score plus a concrete SEO fix plan.
Built from practical SEO work in e-commerce, a billion-dollar industry where organic search is one of the most heavily invested growth channels. Use it when you want to show what is weak in an article before asking a writer, editor, or customer to rewrite it.
This Actor calls the Uygar Content API at /api/v1/analyze-article-seo, analyzes a public article URL or pasted article text, and writes one dataset item with the score, top problems, audit fields, internal-link guidance, and rewrite brief.
It is read-only. It does not publish, rewrite, save content to the owner site, or call an AI model.
Use cases
- Free lead magnet: return a score and the 3 most important problems.
- Paid SEO Content Audit: return score, content issues, keyword gaps, internal-link opportunities, and a new outline.
- Managed SEO Article Rewrite: use the rewrite brief as the handoff, then compare before and after content readiness score.
- E-commerce and service pages: check whether supporting articles have enough search intent coverage, metadata, headings, and internal-link opportunities.
Input
source: public article URL, article text, or markdown to score.targetKeyword: primary keyword or search topic.companyWebsite: customer website for business context and internal-link opportunities.articleDestinationUrl: where the article is or will be published.referenceUrls: customer pages or articles, one URL per line.titleandmetaDescription: optional overrides.
source and targetKeyword are required.
Advanced/private inputs:
apiKey: optional customer-scoped Uygar Content API key override. Leave it blank on public Store runs.
Output
Each successful run returns one dataset item with:
- content readiness score
- top 3 problems
- extracted word count, heading count, H2 count, and internal-link count
- meta title and meta description audit
- search intent assessment
- keyword gaps and coverage gaps
- internal-link opportunities
- heading recommendations
- concrete fixes
- prioritized fix plan
- rewrite brief with suggested outline
The main audit deliverables are exposed as first-class dataset fields, with the full API result kept in rawResult for deeper review.
Positioning
Do not call this a Google ranking score. Use content readiness score or SEO draft score. The goal is to show article quality and next fixes, not promise rankings or traffic.