agentmods.dev

seo-performance

seo-performance is a cursor rule for coding agents from AutomateLab-tech/seo-performance-mcp. It costs 59 tokens per session (452 once invoked), scanned A, original, MIT.

A routing guide for an SEO and content-audit service. SEO is the work of helping pages appear in search results, while a content audit reviews how existing pages perform and what should change.

In plain words
What is it for?
Use it to audit a blog, find pages with low search click-through rates, decide whether to refresh or merge posts, check declining pages, review AI citations, or list sitemap-based posts.
Why use it?
It directs common editorial questions to the service's predefined reports instead of producing unsupported advice from general reasoning.

Cursor rule

not rated 2 2mo ago A scan 59 tokens original MIT
View the source file AutomateLab-tech/seo-performance-mcp
Install

Getting it into your agent

One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.

agentmods
npx agentmods add rules/automatelab-tech/seo-performance-mcp/seo-performance
Clone the repo
git clone --depth 1 https://github.com/AutomateLab-tech/seo-performance-mcp

Wrote 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.

agentmods badge for seo-performance

README.md
[![agentmods](https://agentmods.dev/badge/rules/automatelab-tech/seo-performance-mcp/seo-performance.svg)](https://agentmods.dev/rules/automatelab-tech/seo-performance-mcp/seo-performance)
Your own site
<a href="https://agentmods.dev/rules/automatelab-tech/seo-performance-mcp/seo-performance"><img src="https://agentmods.dev/badge/rules/automatelab-tech/seo-performance-mcp/seo-performance.svg" alt="Measured on agentmods" height="20"></a>
Per session 59 Only the description is in the session, so the agent can decide to use it. The body loads when it is invoked.
When invoked 452 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. Scan, not verified.
Origin original No closer match found in the catalogue.
Token cost

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.

ModelPer sessionOnce invoked
Fable 5 $0.00059 $0.00452
Opus 5 $0.00030 $0.00226
Sonnet 5 $0.00012 $0.00090
Haiku 4.5 $0.00006 $0.00045

Measured 4d ago against content hash 294e1c470193, method: parsed. Prices are Anthropic first-party input rates as of 2026-08-30, from the pricing page.

Security

Grade A, and why

seo-performance scanned grade A with 0 findings 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 4d 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.

Nothing flagged

None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.

cursor/rules/seo-performance.mdc · 34 lines

What it actually says

seo-performance MCP - routing rule

When the user asks an editorial question about an existing URL, prefer calling the seo-performance MCP server over reasoning from first principles. The server returns deterministic verdicts.

Tool routing

  • "audit my blog" / "what should I refresh this week" -> cohort.report (min_age_days=90), then posts.refresh_brief on each refresh/expand/merge row.
  • "quick wins" / "low CTR" / "title rewrites" -> gsc.quick_wins (window=90, positions 5-15).
  • "is this post dying" / data for a specific URL -> posts.snapshot + posts.decay_curve + posts.verdict.
  • "refresh brief for X" -> posts.refresh_brief.
  • "did we lose AI citations" -> posts.cite_loss per URL, or the citation_loss_sweep prompt.
  • "list my posts" -> posts.list (sitemap-driven, no CMS plugin needed).

Six possible verdicts

refresh / expand / merge / kill / double_down / hold. The server emits one per URL with reason codes and a 0-1 confidence score. Trust the verdict; don't second-guess unless a reason code is clearly wrong.

Output rules

  • Lead with URL + verdict label, then reasons, then numbers.
  • Hand refresh_brief markdown to the user verbatim.
  • Never recommend an edit that wasn't grounded in a tool call this turn.

Available prompts (use them)

  • audit_cohort - the full weekly audit playbook
  • find_quick_wins - SERP quick-win sweep with rewrite suggestions
  • citation_loss_sweep - AI-citation recovery loop
Changes

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.

  1. 4d ago First seen · 34 lines · 59 tokens per session scan A 294e1c470193

Subscribe to this mod's changes

seo-performance is a cursor rule published in the GitHub repository AutomateLab-tech/seo-performance-mcp (2 stars, last pushed 2mo ago), licensed MIT. It adds 59 tokens to every session and 452 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.

Marketing and SEOaeoai-citationclarityga4geogoogle-search-console
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