geo-technical

Solid

Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access

AI & Automation 13 stars 2 forks Updated 4 days ago MIT

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Quality Score: 86/100

Stars 20%
38
Recency 20%
100
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
80
License 10%
100
Description 5%
100

Skill Content

# GEO Technical SEO Audit ## Purpose Technical SEO is the foundation of both traditional search visibility and AI search citation. A technically broken site cannot be crawled, indexed, or cited by any platform. This skill audits eight categories of technical health with specific attention to GEO requirements — most critically **server-side rendering** (AI crawlers do not execute JavaScript) and **AI crawler access** (many sites inadvertently block AI crawlers in robots.txt). ## How to Use This Skill 1. Collect the target URL (homepage + 2-3 key inner pages). 2. Fetch each page using curl/WebFetch to get raw HTML and HTTP headers. 3. Work through each of the eight categories in [`references/audit-categories.md`](references/audit-categories.md), scoring each against its rubric there. (That file also covers the IndexNow check.) 4. Total the category scores into the 100-point composite below. 5. Generate `GEO-TECHNICAL-AUDIT.md` using [`references/output-template.md`](references/output-template.md). The two GEO-critical categories — **AI crawler access** (Category 1.2) and **server-side rendering** (Category 7) — are where conventional SEO audits miss the most. A site can pass a traditional audit and still be invisible to AI crawlers because its content is client-rendered or GPTBot is disallowed. Always confirm these two by fetching raw HTML with `curl` (no JS execution). --- ## Overall Scoring | Category | Max Points | Weight | |---|---|---| | Crawlability | 15 ...

Details

Author
techhorizonlabs
Repository
techhorizonlabs/thl-open
Created
1 months ago
Last Updated
4 days ago
Language
Python
License
MIT

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