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

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thl-open
1617 skills
Install
$ npx -y skills add techhorizonlabs/thl-open --skill geo-technical --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/geo-technical

Context preview

The summary Claude sees to decide when to auto-load this skill.

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

SKILL.md

geo-technical.SKILL.md
name: geo-technical
description: Technical SEO audit with GEO-specific checks — crawlability, indexability, security, performance, SSR, and AI crawler access
version: 1.0.0
author: geo-seo-claude
tags: [geo, technical-seo, core-web-vitals, ssr, crawlability, security, performance]
allowed-tools: Read, Grep, Glob, Bash, WebFetch, Write

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 | Core foundation | | Indexability | 12 | Core foundation | | Security | 10 | Trust signal | | URL Structure | 8 | Crawl efficiency | | Mobile Optimization | 10 | Google requirement | | Core Web Vitals | 15 | Ranking signal | | Server-Side Rendering | 15 | GEO critical | | Page Speed & Server | 15 | Performance | | **Total** | **100** | |

Per-category point breakdowns live alongside each category's checks in [`references/audit-categories.md`](references/audit-categories.md).

Score Interpretation

  • **90-100**: Excellent — technically sound for both traditional SEO and GEO
  • **70-89**: Good — minor issues to address but fundamentally solid
  • **50-69**: Needs Work — significant technical debt impacting visibility
  • **30-49**: Poor — major issues blocking crawling, indexing, or AI visibility
  • **0-29**: Critical — fundamental technical failures requiring immediate attention

---

Output

> **Provenance (THL):** tag the score `[scan]` (data fetched this run), `[partial-scan]`, `[heuristic]` (judgement, no data), or `[unmeasured]` — and emit `—` instead of a number when `[unmeasured]` or pure `[heuristic]`. A number with weak provenance still reads as hard data. See [the GEO Method](../../docs/THL-GEO-METHOD.md).

Write `GEO-TECHNICAL-AUDIT.md` using [`references/output-template.md`](references/output-template.md): technical score, per-category breakdown with Pass/Warn/Fail status, the AI-crawler access table, then issues tiered as Critical / Warnings / Recommendations, each citing the specific page URL so the finding is verifiable.

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Ships withthl-open

AI-visibility engineering, the open way — a Claude Code GEO/AI-search audit suite, two original tools (agent-readiness-scan + audit-report-kit), and the THL method that ties them together.

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Python
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MIT
License
11d ago
Last commit
3mo ago
Created

Repo: techhorizonlabs/thl-open

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