Pillar-first AI sitemap
Surface GEO, AI-First SEO, Generative Indexing with higher priority and fresh lastmod.
Technical GEO • Generative Indexing
Generative Indexing: how AI crawlers parse, map and cite
If AI doesn’t cite you, your SEO is dead. Generative Indexing makes your site machine-readable for GPTBot, PerplexityBot and ClaudeBot using entities, deep schema and AI-first sitemaps.
What is Generative Indexing?
Generative Indexing is the technical layer of GEO that prepares pages for AI answer engines. It ensures crawlers can fetch your content, parse structured data, build an entity graph, and confidently cite your page in generated answers.
- Access: fast pages, smart caching, explicit AI crawler allow rules.
- Understanding: deep JSON-LD (entities, relationships, provenance).
- Prioritization: AI-first sitemaps that surface pillar pages & freshness.
- Trust: E-E-A-T content, authorship, sources, case studies.
How GPTBot, PerplexityBot and ClaudeBot index
- Discovery via sitemaps, internal links, external mentions.
- Fetching with HTTP/2, compression and cache validation.
- Parsing HTML + JSON-LD → entities, attributes, relations.
- Scoring freshness, authority, provenance, topicality.
- Attribution citation candidates for answers & overviews.
Open access in robots.txt and keep delivery fast & stable for these agents.
AI Sitemap vs Classic XML Sitemap
Open: /ai-sitemap.xml • Index: /sitemap_index.xml
Generative Indexing checklist
- Performance: TTFB < 200ms, CLS < 0.1, LCP < 2.5s, HTTP/2 + compression.
- Schema depth: Organization, Article, Product, DefinedTerm/DefinedTermSet, SoftwareApplication.
- Entities: consistent names/IDs; live GEO glossary.
- AI crawlers: allow
GPTBot,PerplexityBot,ClaudeBotin robots.txt. - AI sitemap: pillars first with dynamic
lastmod. - Security & provenance: security.txt, authorship, citations, case studies.
Architecture for machine readability
This stack operationalizes AI-First SEO and GEO for answer engines.
Implementing Generative Indexing on WordPress
Do this first
- Enable AI sitemap (MU-plugin already provided).
- Allow AI crawlers in robots.txt (GPTBot, PerplexityBot, ClaudeBot).
- Add GEO JSON-LD to pillar pages (Elementor HTML widget).
- Publish GEO glossary with clear entities.
- Ship case studies with evidence & authorship.
Keep it fast
- Page weight minimal (SVG, lazy images, no heavy libraries).
- HTTP/2, server cache (LWS Optimize), CDN (LWS).
- Preload critical fonts only if needed; avoid layout shifts.
Generative Indexing examples
DefinedTermSet + Glossary
Expose a GEO glossary to stabilize entities. Link definitions from internal articles.
E-E-A-T evidence
Publish case studies, authorship and sources—LLM crawlers reward verifiable provenance.
FAQ — Generative Indexing
Is Generative Indexing different from SEO crawling?
Yes. Traditional crawling ranks pages; generative indexing builds an entity graph to decide which sources to cite in answers.
Do I need both classic and AI sitemaps?
Yes. Keep your classic sitemap (Yoast) and add an AI-first sitemap to prioritize pillars and freshness for answer engines.
What improves my chance of citation the most?
Entity clarity, deep schema, speed, and public evidence (case studies, sources, authorship).
Make your site citation-ready for AI
Operationalize Generative Indexing with entity clarity, deep schema and an AI-first sitemap.
