Open SEO MCP Skills ↗
Claude workflows connected to Search Console, GA4, and other SEO data sources are preferred.
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The selection guideSource-backed research ↗
Content Optimization / Open-source Claude Code GEO and SEO skill bundle.
GEO-SEO Claude Code Skill
Open-source GEO-first SEO audits and AI-search workflows for Claude Code
GEO and SEO auditsAI-search visibility workflowsClaude Code reporting
Why it stands out
Free MIT-licensed repository with inspectable implementation.
Source review: · Public-source research, not a hands-on test
The repository is free under MIT; Claude Code, model access, optional integrations, infrastructure, and the separate AI Workshop community are outside the repository license.
↗ Best for
Developers and technical SEOs already using Claude Code.
! Know before you buy
No checked source proves score calibration, citation accuracy, customer satisfaction, security, traffic lift, conversions, or revenue outcomes.
01 / Editorial assessment
Is GEO-SEO Claude Code Skill for you?
The AICiteKit take
GEO-SEO Claude Code Skill is a substantial open-source workflow for developers, technical SEOs, and agencies already using Claude Code. Its repository documents an installer, 13 specialized skills, five analysis agents, Python utilities, schema templates, and Markdown/PDF reporting across AI visibility, citability, crawlers, brand mentions, platform analysis, technical SEO, content, and schema. Evidence is stronger for scope and inspectable implementation than for efficacy: no checked source independently validates score calibration, citation accuracy, customer satisfaction, traffic lift, or revenue impact. It merits an inspectable pilot with pinned revisions, models, prompts, and human review.
A good fit if you are…
- Developers and technical SEOs already using Claude Code.
- GEO agencies wanting local, adaptable audit and report workflows.
- Teams that prefer inspectable open-source skills and local report handling.
Consider another option if…
- Buyers wanting hosted monitoring and managed retention.
- Teams requiring recurring prompt sampling and independently audited metrics.
- Organizations seeking guaranteed visibility, traffic, or revenue outcomes.
02 / Scope, not promises
Features & coverage
- Documented workflow
Commands cover GEO audit, quick visibility, citability, crawlers, llms.txt, brands, platforms, schema, technical SEO, content, and reports.
Archived research · Official README checked 2026-10-31.Research excerpt · Workflow and core features- Execution requirements
Claude Code CLI, Git, and Python 3.10+ are required; Playwright and optional services may add dependencies.
Archived research · Official README checked 2026-10-31.Research excerpt · Quick facts- Public activity
GitHub showed 11,378 stars, 1,719 forks, 25 open issues, active updates, and a non-archived repository when checked 2026-10-31.
Archived research · GitHub API record checked 2026-10-31.Research excerpt · User feedback and evidence quality
GEO and AI-visibility commands
Run documented commands for AI visibility, citability, crawlers, llms.txt, brand mentions, and platform analysis. Confirm current model and platform behavior before treating outputs as measurements.
Parallel audit and reporting workflow
The full audit orchestrates five analysis areas and can produce Markdown or PDF reports with prioritized actions. Report quality still depends on inputs, models, and human review.
Inspectability and local operation
The installer, skill files, agents, scripts, and schema templates are public and adaptable. Local execution leaves permissions, storage, secrets, and optional provider handling to the operator.
Evidence boundary
GitHub activity and an independent curated list support existence and awareness, not score calibration, citation precision, customer satisfaction, or business outcomes.
A focused evaluation workflow
- Pin the repository revision, Claude/model version, prompt inputs, and optional integrations.
- Install the skill and run a representative audit or narrower GEO command.
- Preserve raw inputs, intermediate findings, score components, and reports.
- Human-review a sample of citability, crawler, schema, and platform findings.
- Compare across the target language, region, site type, and AI surfaces before using results externally.
03 / Commercial boundaries
Pricing & limits
Terms below reflect the 2026-10-31 source review, not a new live quote. Confirm currency, billing term, tax and required scope with the provider.
- Cost boundary
Repository software is free; Claude/model access, optional Firecrawl or Playwright use, infrastructure, and separate community access are not included.
Archived research · README, license, and linked community checked 2026-10-31.Research excerpt · Pricing, limits, and operating costs
- License and delivery
Free, MIT-licensed open-source Claude Code skill bundle installed from GitHub.
Archived research · Official repository, README, and license checked 2026-10-31.Research excerpt · Quick facts
Additional costs & usage boundaries
- Cost boundary
Repository software is free; Claude/model access, optional Firecrawl or Playwright use, infrastructure, and separate community access are not included.
Archived research · README, license, and linked community checked 2026-10-31.Research excerpt · Pricing, limits, and operating costs
Your buying checklist
Get these answers first.
- Which Claude and model configuration produced this result?
- How are citability and composite-score findings calibrated against human review?
- What URLs, secrets, optional services, and local report paths are accessed?
- Which platforms, regions, languages, and retrieval modes are actually covered in this run?
Pricing context & qualifications
The repository software is free under MIT. Claude Code and model access, optional Playwright or Firecrawl use, infrastructure, and the separate AI Workshop community are additional requirements or costs; no hosted plan or fixed audit price was established.
04 / The tradeoffs
Strengths & weaknesses
Reasons to shortlist
- Free MIT-licensed repository with inspectable implementation.
- Broad documented GEO, technical SEO, content, schema, and reporting commands.
- Installer, specialized skills, agents, scripts, and schema templates support adaptation.
- Public activity and external contributions provide a meaningful existence signal.
Reasons to pause
- Requires Claude Code and external model access; no hosted SaaS dashboard is established.
- Coverage, language, region, retrieval behavior, and quotas are not universally documented.
- No independent rating sample or controlled efficacy benchmark was found.
- Local permissions, report storage, optional services, and security remain operator responsibilities.
No checked source proves score calibration, citation accuracy, customer satisfaction, security, traffic lift, conversions, or revenue outcomes.
05 / Choose by the job
Alternatives to consider
Editorial fit comparisons—not performance rankings or claims that one option always wins.
Cheap Seats ↗
Self-hosted buyer-question measurement with retained answers and citations is preferred.
SEO/GEO Audit Kit ↗
A different open-source audit-oriented implementation is preferred.
06 / What we can substantiate
Reviews & evidence
Public evidence is strong for repository existence, scope, and activity but weak for customer satisfaction and efficacy.
AICiteKit assessment: public-source research, not a hands-on product test. Official materials establish stated scope; reviews are dated and may concern the broader platform. Neither establishes guaranteed citations, traffic or revenue.
Sources & original verification dates
| Source | Evidence type | Checked |
|---|---|---|
| GEO-SEO Claude Code Skill repository ↗ | Official public repository | |
| GEO-SEO Claude Code Skill README ↗ | Official product documentation | |
| GEO-SEO Claude Code Skill MIT license ↗ | Official license | |
| GitHub repository API record ↗ | Public activity and repository metadata | |
| Pull request #93 ↗ | External contributor implementation discussion; not independent efficacy validation | |
| Awesome SEO & GEO Skills list ↗ | Independent curated category context; not a review | |
| AI Workshop community ↗ | Separate vendor-linked community context |
Original review evidence & date context
Preserved from the published research. Dates, review counts and product-scope qualifications below have not been refreshed by this layout migration.
Medium confidence for product identity, documented scope, open-source implementation, and public activity; low confidence for score calibration, citation accuracy, customer satisfaction, security, traffic, and revenue outcomes. GitHub activity and independent list inclusion are not representative user evidence.
Research notes & unresolved discrepancies
- Official repository, README, and MIT license checked 2026-10-31.
- GitHub API activity, pull request #93, and the Awesome SEO & GEO Skills list provide community context, not product validation.
- The README's market and outcome statistics are vendor-selected context and were not used as independent evidence.
- No checked source proves security, compliance, uptime, citation accuracy, or business outcomes.
Layout migration: October 4, 2026. The original MDX research is retained in the repository; this reorganization does not refresh its factual verification dates.