HubSpot Blog SEO Scorer

What it does

Automatically analyses HubSpot blog posts before publishing, scoring SEO quality and suggesting improvements for title tags, meta descriptions, keyword usage, readability, and internal linking.

Why I recommend it

Publishing blog posts with poor SEO means wasted content effort that won’t rank or drive traffic. Automated scoring catches issues before publish, ensuring every post is optimised without requiring SEO expertise from every writer.

Expected benefits

  • Higher search rankings for published content
  • Consistent SEO quality across all posts
  • Writer education through actionable feedback
  • 20-30% improvement in organic traffic over time

How it works

Blog post moved to “ready for review” stage in HubSpot -> extract content, title, meta description -> analyse against SEO checklist (keyword in title, meta length, readability score, image alt text, internal links) -> generate score and improvement suggestions -> comment on post or send to writer.

Quick start

Manually review your last 5 blog posts against an SEO checklist. Score each one. Identify common issues (missing alt text, thin meta descriptions). Then automate checking these specific issues before posts go live.

Level-up version

Use AI to suggest better titles and meta descriptions. Analyse competing pages ranking for target keywords. Recommend related internal posts to link to. Check for keyword cannibalisation across your blog. Auto-generate schema markup for rich snippets.

Tools you can use

CMS: HubSpot Blog

SEO analysis: Custom scoring logic, Clearscope API, MarketMuse

AI: ChatGPT API, Claude API for suggestions

Automation: HubSpot workflows, Zapier, Make

Keyword research: Ahrefs, SEMrush APIs

Also works with

CMS platforms: WordPress with Yoast/RankMath, Webflow

Content: Contentful, Sanity with custom SEO checks

Writing: Grammarly, Hemingway for readability

Technical implementation solution

  • No-code: HubSpot workflow trigger on blog stage change -> Zapier fetches blog content -> ChatGPT analyses for SEO issues -> post results as HubSpot comment.
  • API-based: HubSpot webhook on blog update -> extract content via API -> run SEO checks (title length, keyword density, meta description, headings, images) -> score based on criteria -> Claude API generate improvement suggestions -> HubSpot API add internal note.

Where it gets tricky

Defining “good SEO” scoring criteria that balances technical rules with readability, avoiding overly prescriptive feedback that stifles creativity, keeping scoring updated with Google algorithm changes, and handling different content types (listicles vs guides vs news).