wikipedia.org

You are an engineer working on the website wikipedia.org. Below is an AI-visibility (GEO) audit of the site — the signals that decide whether AI answer engines (ChatGPT, Perplexity, Google AI Overviews) can crawl, understand and cite it. Implement the fixes.

## Audit findings

### Sitewide signals
- [PASS] AI-crawler reachability: Homepage returns HTTP 200 with ~6,225 chars of server-rendered text. Retrieval bots can read you.
- [PASS] GPTBot / ClaudeBot access: No blanket Disallow for the major AI crawlers — GPTBot, ClaudeBot and PerplexityBot can fetch your key pages.
- [FAIL] llms.txt: No /llms.txt found. Engines have no curated map to your best content — they're guessing.
- [FAIL] JSON-LD schema: No JSON-LD schema on the homepage. Engines can't tell what type of entity you are.
- [PASS] Answer-first structure: Clear H1 + 5 sections with short, extractable answers. Answer-ready.

## Implementation rules
- Work through the failing signals in the order above; PASS items need no changes.
- Crawler access: check robots.txt AND the WAF/CDN layer for blocks on GPTBot, OAI-SearchBot, ClaudeBot, PerplexityBot, Google-Extended.
- llms.txt: create a curated Markdown index at /llms.txt per https://llmstxt.org — one H1, a > summary, ## sections, every link with a one-line description.
- JSON-LD: add Organization (+ logo, sameAs) sitewide and Article/FAQPage on content pages; link entities with absolute @id references.
- Answer-first structure: under each question-shaped H2, place a self-contained 40–80-word answer paragraph before any elaboration.
- Do not fabricate content; restructure what exists.

## Acceptance criteria
- Re-run the free checker at https://geoplaybooks.com/check/ for wikipedia.org until all 5 signals are PASS.
- Validate llms.txt at https://geoplaybooks.com/tools/llms-txt-validator/ (0 errors).
- Verify JSON-LD parses in Google's Rich Results Test.

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