[geo-optimizer] GEO Audit Report — 2026-06-13 #39127

2026-06-13T16:57:47Z

github-actions[bot]
Bot Jun 13, 2026

GEO Audit Report — github/gh-aw

Audit Date: 2026-06-13
Run: §27472984972

📊 Scores

Target	Score	Band
Docs site (`github.github.com/gh-aw/`)	42/100	Foundation
README (`github.com/github/gh-aw`)	55/100	Foundation
Sitemap avg (20/187 pages audited)	31.65/100	Critical

19 out of 20 sitemap pages fall in the Critical band. The root cause is a single missing robots.txt and llms.txt on the docs site, which together account for up to 36 points per page.

✅ Top Strengths

All major AI bots are permitted — The GitHub README robots.txt allows GPTBot, ClaudeBot, PerplexityBot, Google-Extended, and 23 other AI crawlers. No bots are blocked.
llms.txt on the README domain is strong — 2,919 words, 12 sections, 117 links, H1 and description present (14/18).
Docs site meta tags are perfect — Full title, description, canonical URL, and all Open Graph tags score 14/14.
Docs site freshness signals are perfect — RSS feed present, dateModified in schema, freshness date 2026-05-09 (6/6).
Docs site JSON-LD schema is solid — WebSite, Organization, SoftwareApplication, and FAQPage types all present (12/16).
Content is SSR-safe — Both sites render full content without JavaScript; AI crawlers are not blocked by hydration or lazy loading.
Docs site Perplexity score is 65/100 — Strong citability (81/100), freshness signals, RSS feed, and external links.

🚨 Critical Gaps

Docs site missing robots.txt (0/18) — Every single audited page scores zero here. Without a robots.txt that explicitly allows AI bots, crawlers may be more cautious about indexing github.github.com/gh-aw/.
Docs site missing llms.txt (0/18) — All 20 audited pages score zero. An llms.txt at the root of the docs site would give LLMs a structured site summary and link map.
AI Discovery endpoints missing on both sites (0/6 each) — Neither site has /.well-known/ai.txt, /ai/summary.json, /ai/faq.json, or /ai/service.json. These emerging standards can increase visibility with newer AI engines.
README has zero JSON-LD schema (0/16) — No WebSite, Organization, or FAQPage schemas. The GitHub.com page wrapper doesn't inject structured data for repository pages, so this must be addressed in the README content itself or via other means.
README Brand & Entity score is low (3/10) — No sameAs links to Wikipedia, Wikidata, LinkedIn, or Crunchbase. No canonical tag. Keyword density for "issue" is 23.2% (stuffing penalty).

🔧 Recommended Fixes

Ordered by estimated impact:

Priority	Action	Affected	Est. Points Gained
🔴 1	Add `robots.txt` to `github.github.com/gh-aw/` allowing AI bots	All docs site pages	+18/page
🔴 2	Add `llms.txt` to `github.github.com/gh-aw/`	All docs site pages	+up to 18/page
🔴 3	Add AI discovery files to docs site: `/.well-known/ai.txt`, `/ai/summary.json`, `/ai/faq.json`, `/ai/service.json`	All docs site pages	+6/page
🟠 4	Add JSON-LD schema to README (Organization + WebSite + FAQPage)	README	+16
🟠 5	Add `<link rel="canonical">` to README	README	included in meta
🟠 6	Add AI discovery files to README domain (`github.com/ai/...` — likely not feasible; consider README-embedded schema instead)	README	+6
🟡 7	Add sameAs links (Wikipedia, Wikidata, LinkedIn, Crunchbase) to docs site Organization schema	Docs site	+2–4
🟡 8	Front-load key information in first 30% of docs site homepage content	Docs homepage	content score
🟡 9	Add concrete numbers/statistics to docs site pages (e.g., "379 releases", workflow counts)	Docs site	+content
🟡 10	Add VideoObject schema to docs homepage (2 videos detected without schema)	Docs homepage	trust + schema
🔵 11	Add `dateModified` schema to README for freshness signals	README	+signals
🔵 12	Add RSS feed link to README `<head>`	README	+signals

Quick wins: Items 1 + 2 alone would lift the average sitemap score from 31.65 → ~65+, moving from Critical to Good across all pages.

📋 Full Breakdown by Category

README (`github.com/github/gh-aw`) — 55/100 Foundation

Category	Score	Max	Notes
Robots.txt	15	18	All AI bots allowed; no explicit citation-bot directives
llms.txt	14	18	Present, 12 sections, 117 links; missing `llms-full.txt` and optional section
Schema JSON-LD	0	16	Zero — no WebSite, Organization, or FAQPage
Meta Tags	11	14	Missing canonical URL
Content	12	12	3,006 words, 42 headings, lists/tables present
Signals	3	6	Language set; no RSS, no freshness date
AI Discovery	0	6	Zero — no `.well-known/ai.txt` or `/ai/*.json`
Brand & Entity	3	10	Brand consistent; no KG pillars (Wikipedia/Wikidata/LinkedIn/Crunchbase)
Negative Penalty	-3	—	Hidden text (nav), keyword stuffing (`issue` 23.2%), 12 broken links

Platform citation scores: ChatGPT 55 · Perplexity 70 · Google AI 48
Trust grade: C (medium) — Technical 5/5, Academic 4/5, but Social 1/5 and no schema
WebMCP: basic readiness; not agent-ready
RAG chunk readiness: 46/100 (sections too short, avg 23.8 words)
Content decay risk: High — version strings and dated releases may stale quickly
Citability: 84/100

Docs Site (`github.github.com/gh-aw/`) — 42/100 Foundation

Category	Score	Max	Notes
Robots.txt	0	18	Missing — no `robots.txt` found
llms.txt	0	18	Missing — no `llms.txt` found
Schema JSON-LD	12	16	WebSite ✓ Organization ✓ SoftwareApplication ✓ FAQPage ✓; no WebApp
Meta Tags	14	14	Perfect — canonical, OG, description all present
Content	7	12	921 words, no numbers, no front-loading; 11 external links
Signals	6	6	Perfect — RSS feed, lang, freshness date present
AI Discovery	0	6	Zero — no `.well-known/ai.txt` or `/ai/*.json`
Brand & Entity	6	10	Wikidata ✓ LinkedIn ✓; no Wikipedia, no Crunchbase
Negative Penalty	-3	—	Hidden text (`CtrlK`), keyword stuffing (`github` 2.8%)

Platform citation scores: ChatGPT 50 · Perplexity 65 · Google AI 80
Trust grade: C (medium) — Consistency 4/5, Social 4/5, but Academic 1/5
WebMCP: basic; SearchAction potential action detected
RAG chunk readiness: 45/100 (avg section 6.5 words — very thin)
Content decay: Low risk (evergreen score 100)
Citability: 81/100
Videos: 2 detected without VideoObject schema

📄 Sitemap Page Scores (20/187 audited)

Average: 31.65/100 · Band: Critical · Band distribution: 1 Foundation / 19 Critical

Top 5 Pages

URL	Score	Band
`github.github.com/gh-aw`	42	Foundation
`.../blog`	33	Critical
`.../blog/3`	33	Critical
`.../blog/4`	33	Critical
`.../blog/8`	33	Critical

Worst 5 Pages

URL	Score	Band
`.../agent-factory-status`	27	Critical
`.../blog/2026-01-13-meet-the-workflows-documentation`	30	Critical
`.../blog/2026-01-13-meet-the-workflows-creative-culture`	30	Critical
`.../blog/2026-01-13-meet-the-workflows-continuous-style`	30	Critical
`.../blog/2026-01-13-meet-the-workflows-continuous-simplicity`	30	Critical

Root cause of low scores: All pages score 0 on robots_txt and llms_txt. Average schema across all pages is only 0.6/16. Fixing the site-level robots.txt and llms.txt alone would add 36 points to every page, moving the average from 31.65 → ~67.65 (Good band).

⚠️ Sitemap contains 187 URLs but only 20 were audited (default cap). Run with --max-urls to audit more pages.

References:
§27472984972

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2026-06-14T17:03:04Z

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Bot Jun 14, 2026
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[geo-optimizer] GEO Audit Report — 2026-06-13 #39127

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README (`github.com/github/gh-aw`) — 55/100 Foundation

Docs Site (`github.github.com/gh-aw/`) — 42/100 Foundation

Top 5 Pages

Worst 5 Pages

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[geo-optimizer] GEO Audit Report — 2026-06-13 #39127

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github-actions[bot] Bot Jun 13, 2026

GEO Audit Report — github/gh-aw

📊 Scores

✅ Top Strengths

🚨 Critical Gaps

🔧 Recommended Fixes

README (github.com/github/gh-aw) — 55/100 Foundation

Docs Site (github.github.com/gh-aw/) — 42/100 Foundation

Top 5 Pages

Worst 5 Pages

Replies: 1 comment

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github-actions[bot] Bot Jun 14, 2026 Author

github-actions[bot]
Bot Jun 13, 2026

README (`github.com/github/gh-aw`) — 55/100 Foundation

Docs Site (`github.github.com/gh-aw/`) — 42/100 Foundation

github-actions[bot]
Bot Jun 14, 2026
Author