How is this different from a content grader like Surfer or Frase?

A grader scores your draft against the pages currently ranking and gives you a target list of terms. You still make every edit. SEOAgent edits the file — headings, metadata, schema, internal links — and hands you a diff. The grader tells you the score; the agent moves it.

Does it rewrite my published pages automatically?

No. Changes are edits in your working tree. You review the diff and commit, exactly like a pull request from a colleague. Nothing reaches your site until you merge and deploy.

Will it keyword-stuff my content?

No. Optimization is structural — heading hierarchy, schema, links, metadata, and answer placement — plus targeted revisions where Search Console shows a real gap. Term-density padding is what graders reward and readers notice.

What formats does it work with?

Markdown and MDX content files, and page components in Next.js, Astro, and similar frameworks. It edits whatever your repo actually renders from, so there is no copy-paste step back into a CMS.

Can it optimize content it did not write?

Yes, and that is the common case. Point it at existing posts and it audits them against a live crawl, then proposes fixes for what is actually missing on the rendered page.

SEO content optimization · updated 2026-08-26

An SEO content optimization tool that edits the file

Most content optimization tools are graders. You paste a draft, they score it against the pages currently ranking, and you get a list of terms to work in. The optimizing still happens in your editor, by hand, one page at a time. SEOAgent runs inside your coding agent and changes the content file itself — then shows you the diff.

Install the Skill (free)See content writing

A score is not an optimization

Grading and optimizing are different jobs, and the category name blurs them. A grader compares your draft to the top results and reports a gap. That is genuinely useful input. But the gap closes only when someone rewrites the H2s, adds the schema block, fixes the internal links, and redeploys — and that work is where content programs stall.

There is also a subtler cost. Optimizing toward a term list pushes writing toward the average of whatever already ranks. Structural optimization — clear answers, correct hierarchy, machine-readable markup, real internal links — improves the page for readers and crawlers without flattening the prose.

What it actually optimizes

Title, meta description, canonical: Rewritten in the page source or frontmatter, checked against what the live page already serves so nothing is duplicated.
Heading structure: H1/H2/H3 hierarchy repaired against the brief outline — one H1, no skipped levels, headings that match the query rather than the layout.
Structured data: Article, FAQPage, HowTo, or BreadcrumbList JSON-LD added to the page component — the type that fits the article, not a blanket template.
Internal links: Planned across the whole site from the cluster map, then injected with real anchor text into the body copy.
Extractability for AI answers: Direct answers near the top, scannable lists, and a plain-Markdown mirror so ChatGPT and Perplexity can quote the page cleanly.
Refreshes on live pages: Pro watches Search Console for pages with impressions but no clicks, then proposes a targeted revision to that specific file.

The optimization loop

Install. npm install -g @seoagent-official/seoagent then seoagent init creates a .seoagent/ workspace in your repo and teaches your coding agent the workflow.
Crawl for evidence. seoagent crawl captures the live HTML of your pages. Every recommendation is checked against it, so the tool never tells you to add markup the rendered page already has.
Optimize the files. The agent edits headings, metadata, schema, and internal links directly in your content files, and explains each change.
Review and merge. You read the diff and commit. That single approval step is the whole safety model.
Watch and revise (Pro). seoagent login connects Search Console read-only. Pages that gain impressions but no clicks come back as concrete revision tasks against the specific file.

Optimizing for AI answers, not just rankings

Content now has to survive being quoted. ChatGPT, Perplexity, and Google's AI Overviews extract passages rather than sending a click, which rewards pages that answer the question plainly near the top, mark their structure up properly, and keep claims checkable.

The same edits serve both audiences — a clean heading hierarchy and correct JSON-LD help a crawler and a language model equally. More on that in AEO vs SEO and how to get cited by Perplexity.

Where it fits

If your content lives in a repo — Markdown, MDX, or page components — an agent that edits files removes the copy-paste round trip entirely. If it lives in a hosted CMS you never touch as code, a traditional grader may suit you better; the honest answer is that this model is built for teams who deploy their own site.

Comparing options? See Frase vs MarketMuse, AI content writers, and automated SEO tools.

Pricing

Skill

Free

Audits, on-page fixes, keyword strategy, briefs, and content optimization inside your coding agent or via the CLI. No account required.

Install the Skill →

Pro

$49 / site · month

Adds Search Console analysis, competitor and SERP research, a synced dashboard, and evidence-backed revision suggestions for live pages.

View Pro pricing →

Frequently asked questions

How is this different from a content grader like Surfer or Frase?: A grader scores your draft against the pages currently ranking and gives you a target list of terms. You still make every edit. SEOAgent edits the file — headings, metadata, schema, internal links — and hands you a diff. The grader tells you the score; the agent moves it.
Does it rewrite my published pages automatically?: No. Changes are edits in your working tree. You review the diff and commit, exactly like a pull request from a colleague. Nothing reaches your site until you merge and deploy.
Will it keyword-stuff my content?: No. Optimization is structural — heading hierarchy, schema, links, metadata, and answer placement — plus targeted revisions where Search Console shows a real gap. Term-density padding is what graders reward and readers notice.
What formats does it work with?: Markdown and MDX content files, and page components in Next.js, Astro, and similar frameworks. It edits whatever your repo actually renders from, so there is no copy-paste step back into a CMS.
Can it optimize content it did not write?: Yes, and that is the common case. Point it at existing posts and it audits them against a live crawl, then proposes fixes for what is actually missing on the rendered page.
What does it cost?: The Skill and CLI are free with no account. Pro is $49 per site per month and adds Search Console analysis, competitor and SERP research, and evidence-backed revision suggestions delivered to your repo.