ttm-seo

ttm-seo is a skill for Claude Code from ranjanrishikesh/taketomarket. It costs 43 tokens per session (705 once invoked), scanned A, original, MIT.

A toolkit for website search visibility and visibility in AI-generated answers. It audits a URL or sitemap, groups keywords by topic and search purpose, and checks citations across Google AI Overviews, ChatGPT search, and Perplexity.

In plain words
What is it for?
Checking technical and written website issues, planning keyword topics, and measuring whether AI search systems cite a site for a target query.
Why use it?
It puts traditional SEO (helping search engines find and rank pages) and AEO (helping AI answer systems cite pages) in one workflow.

Skill for Claude Code

Written for Claude Code: allowed-tools in frontmatter.

Runs only inside its plugin — its command needs a path that Claude Code sets for a plugin’s own hooks and for nothing else. Install the plugin, not this.

Part of the taketomarket plugin — 40 skills, 1 hook shipped together

Good fit Checking technical and written website issues, planning keyword topics, and measuring whether AI search systems cite a site for a target query.

Compare 6 skills from other repositories ↓
Install

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.

Claude Code
/plugin marketplace add ranjanrishikesh/taketomarket
Claude Code
/plugin install taketomarket

Made for: Claude Code.

Or install taketomarket, the plugin that ships this one along with the rest of its 40 skills, 1 hook.

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 ttm-seo

README.md
[![agentmods](https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-seo/github.svg)](https://agentmods.dev/skills/ranjanrishikesh/taketomarket/ttm-seo)
Your own site
<a href="https://agentmods.dev/skills/ranjanrishikesh/taketomarket/ttm-seo"><img src="https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-seo/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.

agentmods 80×15 button for ttm-seo

Your own site · 80×15
<a href="https://agentmods.dev/skills/ranjanrishikesh/taketomarket/ttm-seo"><img src="https://agentmods.dev/badge/skills/ranjanrishikesh/taketomarket/ttm-seo.svg" alt="Reviewed on agentmods" width="80" height="20"></a>
Per session 43 Skills are progressive disclosure: only the name and description are preloaded; the body loads when the skill is used.
When invoked 705 The whole file, excluding the scripts and references it only reads on demand.
Security scan A 0 findings. A grade says what 26 rules found in the file — not that it is safe.
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 5.1 $0.00043 $0.00705
Opus 5 $0.00022 $0.00352
Sonnet 5 $0.00009 $0.00141
Haiku 4.5 $0.00004 $0.00071

Measured 10d ago against content hash 678cd98881c6, method: parsed. Prices are Anthropic first-party input rates as of 2026-09-10, from the pricing page.

Security

Grade A, and why

ttm-seo 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 10d 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.

skills/ttm-seo/SKILL.md · 65 lines

How it starts

The opening of the file, as written. The whole thing — 65 lines — stays where its author put it; the contents beside it link to each section on GitHub.

/ttm-seo

Step 0: First-run inline education

Read .taketomarket/CONFIG.md. Parse first_run_seen (object) and inline_education (boolean, default true).

If inline_education is false: skip this step. Else if first_run_seen.ttm-seo is not true, print the explainer below verbatim, then mark this skill as seen:

node "${CLAUDE_PLUGIN_ROOT}/bin/ttm-tools.cjs" first-run mark ttm-seo

Use this exact check (bash) to decide whether to print: node "${CLAUDE_PLUGIN_ROOT}/bin/ttm-tools.cjs" first-run check ttm-seo --raw -- the JSON seen field is true once the explainer has run before.

Explainer for /ttm-seo

/ttm-seo is the unified SEO + AEO toolkit. Subcommands: audit runs a URL or sitemap through technical and content checks; keyword-map generates a topic cluster with intent tags; aeo measures your citation status across Google AI Overviews, ChatGPT search, and Perplexity for a target query.

Why it matters: SEO and Answer Engine Optimization (AEO) share most fundamentals -- structured content, clear claims, citation-worthy formatting -- but diverge on a few signals. Treating them as one toolkit with three modes prevents the trap of optimizing for Google in a way that breaks AEO citation.

(Canonical source: references/inline-education-blurbs.md. Embedded verbatim because workflows do not @-resolve files at runtime.)


Routes to one of three subcommand workflows based on the first argument.

Usage

/ttm-seo audit <url-or-sitemap>     → workflows/discipline/seo/audit.md
/ttm-seo keyword-map [seed-keyword] → workflows/discipline/seo/keyword-map.md
/ttm-seo aeo <query>                → workflows/discipline/seo/aeo.md

Workflow

Parse first positional arg:

  • audit → read and follow ${CLAUDE_PLUGIN_ROOT}/workflows/discipline/seo/audit.md
  • keyword-map → read and follow ${CLAUDE_PLUGIN_ROOT}/workflows/discipline/seo/keyword-map.md
  • aeo → read and follow ${CLAUDE_PLUGIN_ROOT}/workflows/discipline/seo/aeo.md
  • anything else: print usage and exit.
  • After matching a subcommand, strip it from $ARGUMENTS and forward the remainder to the workflow as the new $ARGUMENTS value. Example: /ttm-seo audit https://example.com → workflow receives $ARGUMENTS=https://example.com.

Read the full file on GitHub · 65 lines

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. 10d ago First seen · 65 lines · 43 tokens per session scan A 678cd98881c6

Subscribe to this mod's changes

ttm-seo is a skill published in the GitHub repository ranjanrishikesh/taketomarket (16 stars, last pushed 3mo ago), licensed MIT. It adds 43 tokens to every session and 705 once invoked, about $0.0002 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 2026-08-30.

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