[geo-optimizer] GEO Audit Report — 2026-07-31

[github-actions[bot]]

Warning

threat detection engine error
The threat detection engine encountered an error and could not complete analysis. This is a tooling failure, not a security finding.

Details

The threat detection engine failed to produce results.

Review the workflow run logs for details.

GEO Audit Report — github/gh-aw

Audit Date: 2026-07-31
Run: §30649110230

---

📊 Scores

Target	Score	Band
Docs site (github.github.com/gh-aw/)	44/100	Foundation
README (github.com/github/gh-aw)	55/100	Foundation
Docs sitemap (20 pages sampled of 213)	38.15/100 avg	Foundation (16 pages), Critical (4 pages)

---

✅ Top Strengths

• Meta tags — perfect scores on both docs site (14/14) and README (11/11): title, description, canonical, OG tags all present.
• robots.txt on README (GitHub.com) explicitly allows 27 AI bots (GPTBot, ClaudeBot, PerplexityBot, Google-Extended, etc.) — score 15/18.
• Content structure — docs site has clean heading hierarchy (41 headings), the README content check is a perfect 12/12 with numbers, lists/tables, and front-loading.
• Schema JSON-LD on docs site — WebSite, Organization, SoftwareApplication, and FAQPage types found (13/16).
• Signals — docs site has lang="en", RSS feed (blog/rss.xml), and content freshness (2026-05-09) — perfect 6/6.
• llms.txt on README — GitHub's own README rendering scores 14/18 for llms-style structure (h1, sections, links).

---

🚨 Critical Gaps

1. AI Discovery is 0/6 across every page audited — no /.well-known/ai.txt, no /ai/summary.json, /ai/faq.json, or /ai/service.json anywhere on the docs site, README, or sitemap sample.
2. llms.txt missing on the docs site (0/18) — the GitHub Pages docs site has no /llms.txt at all, unlike the README.
3. robots.txt missing on the docs site (0/18, and 0.0 average across sitemap) — no explicit AI-bot allow rules on github.github.com/gh-aw/.
4. Schema JSON-LD missing on README (0/16) — no WebSite/Organization/FAQPage schema on the GitHub repo homepage.
5. Hidden text detected (display:none/visibility:hidden with content) on both docs site and README — flagged as a cloaking risk that AI crawlers may penalize.
6. Weak Brand & Entity signals — average 3.2/10 across the sitemap: no Wikipedia/Wikidata/LinkedIn/Crunchbase sameAs links, no contact info, 0 Knowledge-Graph pillar URLs found anywhere.
7. 4 sitemap pages scored "Critical" (33–36/100): blog/7, blog/8, blog/9, blog/10, and /about — all missing schema and llms/robots signals, with /about also penalized for negative signals.
8. README has 9 broken links and popup-signal detection contributing to a -3 negative penalty.

---

🔧 Recommended Fixes (prioritized by impact)

1. Create robots.txt with explicit AI-bot Allow rules on github.github.com/gh-aw/ (GPTBot, ClaudeBot, PerplexityBot) — +18 max points on every docs page (sitemap-wide average impact is largest single lever, currently 0.0 avg across 20 pages).
2. Generate /llms.txt for the docs site via geo llms --base-url https://github.github.com/gh-aw — 0/18 today across the whole site.
3. Add Organization + WebSite JSON-LD schema to the README page, including sameAs links to Wikipedia/Wikidata/LinkedIn for Knowledge Graph disambiguation — README schema is currently 0/16.
4. Publish AI-discovery endpoints: /.well-known/ai.txt, /ai/summary.json, /ai/faq.json, /ai/service.json — currently 0/6 everywhere; low effort, direct score gain.
5. Remove hidden text (display:none/visibility:hidden with real content) on both docs site and README to eliminate the cloaking penalty (-3).
6. Fix the 9 broken links on the README and the low-scoring blog posts (blog/7-10) and /about page — these are dragging the sitemap average into "Critical" band.
7. Front-load key info in the first 30% of docs-site content and add concrete numeric stats — flagged repeatedly across pages (content score capped at 7-12/12 due to missing front-loading/data).
8. Add <link rel="canonical"> to the README to prevent duplicate-content indexing issues.

📋 Full Breakdown by Category

Docs site (github.github.com/gh-aw/) — score_breakdown

Category	Score	Max
Robots.txt	0	18
llms.txt	0	18
Schema JSON-LD	13	16
Meta Tags	14	14
Content	7	12
Signals	6	6
AI Discovery	0	6
Brand & Entity	7	–
Negative penalty	-3	–

README — score_breakdown

Category	Score	Max
Robots.txt	15	18
llms.txt	14	18
Schema JSON-LD	0	16
Meta Tags	11	–
Content	12	12
Signals	3	–
AI Discovery	0	6
Brand & Entity	3	10
Negative penalty	-3	–

Sitemap average (20 pages of 213 discovered)

Category	Avg Score
Robots.txt	0.0
llms.txt	0.0
Schema	5.75
Meta	14.0
Content	10.75
Signals	5.4
AI Discovery	0.0
Brand & Entity	3.2
Negative penalty	-0.95

Band distribution: 16 pages "Foundation", 4 pages "Critical" (blog/7, blog/8, blog/9, blog/10, /about — note 5 pages listed but band_counts shows 4 Critical; blog/9 is borderline at 36 = Foundation).

📄 Sitemap Page Scores

Top 5 pages

URL	Score	Band
/gh-aw (home)	44	Foundation
/blog/2026-01-13-meet-the-workflows-continuous-improvement	44	Foundation
/blog/2026-01-13-meet-the-workflows-continuous-refactoring	43	Foundation
/blog/2026-01-12-welcome-to-pelis-agent-factory	41	Foundation
/blog/2026-01-13-meet-the-workflows-advanced-analytics	41	Foundation

Worst 5 pages

URL	Score	Band
/blog/7	33	Critical
/blog/10	35	Critical
/blog/8	35	Critical
/about	35	Critical
/blog/9	36	Foundation

Only 20 of 213 discovered URLs were sampled (audited_urls truncated per audit config); truncated_warning present in raw JSON.

---

Automated audit powered by geo-optimizer-skill · Run logs

Generated by 🌍 GEO Optimizer Daily Audit · auto · 24.9 AIC · ⊞ 7K · ◷

• expires on Aug 3, 2026, 9:03 AM UTC-08:00

[github-actions[bot]]

This discussion has been marked as outdated by GEO Optimizer Daily Audit.

A newer discussion is available at Discussion #50046.