Claude SEO is an open-source Claude Code plugin that runs specialized agents and skills to audit websites across technical SEO, content quality, structured data, AI-search optimization, local and e-commerce SEO, and international SEO. SEO practitioners use it to produce prioritized recommendations based on primary-source guidance, with optional extensions for external data and crawling.
Getting it into your agent
This one installs as part of its plugin. Adding the marketplace and installing the plugin brings it with everything else the plugin ships.
/plugin marketplace add AgriciDaniel/claude-seo/plugin install claude-seoWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/agents/agricidaniel/claude-seo/seo-content)<a href="https://agentmods.dev/agents/agricidaniel/claude-seo/seo-content"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-seo/seo-content/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/agents/agricidaniel/claude-seo/seo-content"><img src="https://agentmods.dev/badge/agents/agricidaniel/claude-seo/seo-content.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00029 | $0.01233 |
| Opus 5.5 | $0.00012 | $0.00493 |
| Sonnet 5.5 | $0.00006 | $0.00247 |
| Haiku 4.5 | $0.00003 | $0.00123 |
Grade A, and why
seo-content scanned grade A with 1 finding against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 1mo ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Makes network callslowCapability
Not a fault in itself. Listed so you know the mod talks to something, and to what.
Use `"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run render_page.py <URL> --mode auto --json` for page HTML. `auto` does a raw fetch and only spins up Playwright when an SPA shell is detected; use `--mode always` to force Copies of this mod
8 near-identical copies found in the catalogue:
- seo-content — 91% identical, 51 lines differ
- seo-content — 84% identical, 56 lines differ
- seo-content — 81% identical, 58 lines differ
- seo-content — 78% identical, 57 lines differ
- seo-content — 78% identical, 56 lines differ
- seo-content — 78% identical, 56 lines differ
- seo-content — 78% identical, 56 lines differ
- seo-content — 78% identical, 56 lines differ
How it starts
The opening of the file, as written. The whole thing — 115 lines — stays where its author put it; the contents beside it link to each section on GitHub.
You are a Content Quality specialist following Google's September 2025 Quality Rater Guidelines.
When given content to analyze:
- Assess E-E-A-T signals (Experience, Expertise, Authoritativeness, Trustworthiness)
- Check word count against page type minimums
- Calculate readability metrics
- Evaluate keyword optimization (natural, not stuffed)
- Assess AI citation readiness (quotable facts, structured data, clear hierarchy)
- Check content freshness and update signals
- Flag potential AI-generated content quality issues per the current QRG (September 11, 2025)
- Check title/description pairs for templating (see below)
Templated Metadata
Body-copy uniqueness does not clear a site of duplicated or templated metadata, a documented content-quality problem in its own right. Metadata is generated in bulk far more often than body copy is, and a description that restates its own title and then appends a stock CTA is the shape those jobs produce on every URL at once. This is a heuristic check (deterministic string comparison, no model); it does not claim any specific Google ranking or spam update targeted this pattern.
Single page:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run metadata_template.py --title "<title>" --description "<desc>" --json
Site-wide, which is the unit that matters, pass a JSON list of
{url, title, description} objects collected while crawling:
"${CLAUDE_PLUGIN_ROOT}/scripts/claude-seo" run metadata_template.py --pairs-file metadata.json --json
Report site_risk, templated_ratio, and any shared_cta_phrases: the same
closing CTA on many pages is the strongest single indicator of a bulk metadata
job. templated_metadata is a high-severity finding; description_echoes_title,
brand_suffix_in_description, and description_duplicates_title are secondary.
E-E-A-T Scoring
| Factor | Weight | What to Look For |
|---|---|---|
| Experience | 20% | First-hand signals, original content, case studies |
| Expertise | 25% | Author credentials, technical accuracy |
| Authoritativeness | 25% | External recognition, citations, reputation |
| Trustworthiness | 30% | Contact info, transparency, security |
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 1mo ago Changed 4894353ec9e3
- 1mo ago Changed · +35 lines 2ed27d630a7a
- 1mo ago First seen · 80 lines · 29 tokens per session scan A bad15951113c
seo-content is an agent published in the GitHub repository AgriciDaniel/claude-seo (19,878 stars, last pushed 2d ago), licensed MIT. It adds 29 tokens to every session and 1,233 once invoked, about $0.0001 per session on Opus 5.5. A static security scan graded it A with 1 finding (makes network calls). No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-30.
Other agents, from other repositories
audit-google
Google Ads evidence and controls specialist. Returns schema-valid findings for conversion tracking, search terms, campaign structure, bidding, PMax, Demand Gen, assets, settings, and policy eligibility.
audit-amazon
Amazon Ads evidence and controls specialist. Returns schema-valid findings for profiles and regions, portfolios, Sponsored Products, Brands, Display, DSP, search-term harvesting, retail readiness, ACOS, TACOS, and reporting.
audit-budget
Budget and finance specialist. Returns schema-valid findings covering budget sufficiency, pacing, bids, marginal return, MER, CPA, ROAS, LTV:CAC, experiments, and allocation tradeoffs.
audit-creative
Cross-platform creative specialist. Returns schema-valid findings covering creative fit, concept diversity, fatigue, format coverage, message match, and evidence-backed refresh recommendations.
audit-microsoft
Microsoft Advertising evidence and controls specialist. Returns schema-valid findings for UET and conversions, syndication, imports, search and audience campaigns, bidding, assets, Copilot surfaces, and settings.
audit-policy-compliance
Platform policy specialist. Returns schema-valid findings covering platform eligibility, regulated categories, creative and targeting policy, deprecations, brand safety, and account-enforcement risk.