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seo-geo

seo-geo

github.com/agricidanielMarketing & growth89478 installsUpdated 2w ago
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About seo-geo

seo-geo is a ChatGPT skill for assessing readiness for AI-search visibility and turning a page or SEO evidence into a sourced action plan. It emphasizes platform-specific checks, evidence limits, and repeatable citation observations.

Key features

  1. 01AI-search readiness assessment
  2. 02SEO and crawl-access review
  3. 03Citation evidence scoped by prompt and date
  4. 04Testable content and access recommendations
  5. 05Repeatable observation plan

Use cases

  1. 01Reviewing a page for AI-search readiness
  2. 02Investigating crawler access and citation evidence
  3. 03Planning content changes and follow-up observations

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/agricidaniel/chatgpt-seo --skill seo-geo

After installing, type/seo-geoin Claude Code to confirm it loaded.

Details

From the project README

AI search visibility

Input

A site/page and the named AI-search surface or supplied citation observations.

Evidence and runtime

If a skill-resource reader fails to open a linked supporting file, try the available file or execution tool using the installed plugin root returned by the host or resolved from this skill's location. Do not hardcode a home folder, version, or working directory. Distinguish a failed reader call from an absent file, and files actually attempted from files not attempted. Report a resource as unavailable only after the supported access paths have failed. If no file or execution access is available, continue within the evidence you can read and state that limit.

Read the operating contract when this workflow is selected. Use runtime and data paths when choosing a tool or handling missing data. Recheck relevant search facts and primary sources before date-sensitive claims. For a quantitative diagnostic, read scoring; unavailable categories stay unknown.

Supporting resources

Read only the resources needed for the selected part of this task:

Workflow

  1. Identify the exact surface: Google AI features, ChatGPT Search or another system. Recheck the relevant vendor source before making access or eligibility claims.
  2. Audit normal SEO prerequisites, snippet eligibility, crawl access, clear entity attribution, useful answer structure, factual evidence and content that contributes original detail.
  3. Separate crawler training policy from search discovery and user-triggered browsing. Inspect robots/WAF evidence before recommending access changes.
  4. Use observed citation data only within its recorded prompts, locales and dates. Readiness improvements are hypotheses about usefulness, not measured share of voice.
  5. Report llms.txt as optional infrastructure where applicable. Do not assign it Google ranking or citation weight, and do not invent a required AI schema.
  6. Propose testable content/access improvements and a repeatable observation plan with specified prompts and source capture.

Deliverable

An AI-search readiness assessment, evidenced blockers, content improvements and a scoped measurement plan.

Boundary

Do not promise citations, infer AI traffic from ordinary GSC Web totals, or use a generic GEO score as measured platform visibility.

Adapted from the public Claude SEO seo-geo workflow.

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