SEO/GEO Pro
AI-assisted overview of SEO/GEO Pro
SEO/GEO Pro is a Codex skill for technical SEO, content strategy, generative search visibility, structured data review, and public-copy QA.
It packages evidence-first workflows, source discipline, and helper scripts for operators who want senior SEO judgment inside an agent workflow.
This summary was generated from available directory data and may be incomplete. Verify current details on the official website before making a decision.
AI-assisted capability summary
- Evidence-first SEO and GEO audit workflow for Codex agents
- Technical SEO checks for crawlability, indexability, canonicals, robots, redirects, and rendered HTML
- Content strategy, topical mapping, structured data guidance, and public-copy QA helpers
- Lightweight Python helper scripts for URL safety, HTML fetching, parsing, rendering, and copy scanning
Potential use cases
Run technical SEO and GEO audits with evidence labels and prioritized actions
Create SEO briefs for SaaS, ecommerce, local, comparison, and editorial pages
Review public pages before publishing to avoid internal SEO language leakage
Plan migrations, diagnose traffic drops, and validate rendered search signals
/// EVALUATION NOTES
What to verify before using SEO/GEO Pro
ClawSites is the discovery layer, not the final approval. Use these checks to turn this listing into a small, evidence-based product test.
Workflow fit
Define the exact marketing job before comparing features. A good test has a clear input, output, and pass condition.
Access and permissions
Confirm whether the product needs a browser session, local runner, API key, inbox, repository, database, or payment access.
Human approval
Find the point where a person can inspect the result and stop an irreversible action such as sending, spending, deleting, or deploying.
Evidence after a run
Prefer logs, citations, screenshots, diffs, traces, or status history that let another person understand what happened.
| Directory category | Marketing |
|---|---|
| Pricing signal | Unknown |
| Recorded status | online |
| Structured context | 4 AI-assisted capability notes · 4 potential use cases · 7 AI-assisted discovery tags |
A practical three-step test
- 1Choose one reversible task. Write down the expected result before connecting sensitive systems.
- 2Limit access. Start with sample data, read-only permissions, or a test account.
- 3Save the evidence. Compare output quality, review effort, failure behavior, and time saved.