Ai Seo
Calibrate content and structured data so AI search surfaces (Google AI Overviews and peers) retrieve, extract, and cite your pages.
Overview
AI SEO is an agent skill for the Launch phase that explains how AI search platforms select and cite web sources so you can optimize indexing, retrieval, and passage extractability.
Install
npx skills add https://github.com/alirezarezvani/claude-skills --skill ai-seoWhat is this skill?
- Maps the shared pipeline: index → retrieve → extract → generate → present with leverage at steps 1–3
- Platform-by-platform breakdown starting with Google AI Overviews (top-10 dependency, schema, extractable passages)
- Emphasizes ranking in traditional Google index as a prerequisite for AI Overview inclusion
- Calls out structured data (FAQPage, HowTo) and recency weighting for news-adjacent queries
- Notes landscape changes quickly—manual verification before major strategy bets
- 5-step fundamental AI search pipeline (index through present)
- Platform-by-platform breakdown with Google AI Overviews as first detailed platform
Adoption & trust: 535 installs on skills.sh; 17.5k GitHub stars; 2/3 security scanners passed (skills.sh audits).
What problem does it solve?
You rank inconsistently in classic search and have no mental model for why AI overviews or chat search pick competitors’ pages instead of yours.
Who is it for?
Content-led solo builders documenting positioning, FAQs, and how-to pages who want GEO/AEO strategy grounded in platform mechanics.
Skip if: Teams that only need on-page keyword tweaks for traditional SERPs without caring about AI citation or overview inclusion.
When should I use this skill?
When calibrating content, schema, and page structure for AI search citation and overview inclusion across major platforms.
What do I get? / Deliverables
You align pages with each platform’s retrieval and citation patterns—especially extractable definitions, schema, and index prerequisites—so your content is more likely to be selected before answer generation.
- Platform-specific optimization checklist applied to target URLs
- Passage and schema changes aligned to retrieve-and-extract behavior
Recommended Skills
Journey fit
Canonical shelf is Launch because the skill documents how AI answer engines index, retrieve, and cite sources—work you do when optimizing for visibility in generative search, not when building product code. GEO is the Prism subphase for AI-search and answer-engine visibility; the README is explicitly an AI search landscape and platform-by-platform optimization guide.
How it compares
Reference landscape for answer-engine optimization, not a one-click rank tracker or MCP analytics connector.
Common Questions / FAQ
Who is ai-seo for?
Solo and indie builders publishing marketing sites, docs, or blogs who need AI search and overview surfaces to cite their URLs—not just rank as blue links.
When should I use ai-seo?
During Launch when planning GEO content structure, schema, and passage layout; before rewriting key landing or FAQ pages; and when comparing how Google AI Overviews versus other AI search products weight recency and extractability.
Is ai-seo safe to install?
It is primarily editorial reference material with no prescribed destructive actions; review the Security Audits panel on this Prism page before installing any skill from the repo.
SKILL.md
READMESKILL.md - Ai Seo
# AI Search Landscape How each major AI search platform selects, weights, and cites sources. Use this to calibrate your optimization strategy per platform. Last updated: 2026-03 — this landscape changes fast. Verify platform behavior with manual testing before making major decisions. --- ## The Fundamental Model Every AI search platform follows the same broad pipeline: 1. **Index** — Crawl and store web content (or use a third-party index) 2. **Retrieve** — For a given query, retrieve candidate documents 3. **Extract** — Pull the most relevant passages from those documents 4. **Generate** — Synthesize an answer, often citing the sources 5. **Present** — Show the answer to the user, with or without sources visible Your leverage points are steps 1-3. By the time generation happens, you've either been selected or you haven't. --- ## Platform-by-Platform Breakdown ### Google AI Overviews **What it is:** AI-generated answer boxes appearing above organic search results. Rollout expanded globally in 2024-2025. **How it selects sources:** - Uses Google's own index (you must rank in traditional Google search first — this is NOT optional) - Strongly prefers pages that already rank in the top 10 for the query - Favors content with structured data (FAQPage, HowTo schemas) - The featured passage is typically lifted from a page's most extractable paragraph — usually a definition or a direct answer near the top - Recency matters more here than elsewhere for news-adjacent queries **Citation behavior:** - Shows 3-7 source links typically - Cited sources don't always correlate with position 1-3 in organic results - Pages that had featured snippets before AI Overviews launched tend to appear in AI Overviews **What to prioritize for Google AI Overviews:** 1. Rank in traditional search first (prerequisite) 2. Add FAQPage schema 3. Put a direct answer in the first 200 words 4. Get backlinks from high-authority sites (still matters) 5. Set `Google-Extended` to Allow in robots.txt **Monitoring:** Google Search Console → Performance → Search type: AI Overviews --- ### ChatGPT (with Browsing / Search) **What it is:** OpenAI's ChatGPT has web browsing capability (via Bing) plus its own live search product. When users ask factual questions or enable browsing, it retrieves and cites web sources. **How it selects sources:** - Uses Bing's index (Microsoft partnership) — Bing crawl and indexing quality matters - GPTBot also crawls independently for training data (distinct from search citations) - For search-backed answers: pulls several sources, synthesizes, cites inline - Prefers authoritative domains — news outlets, Wikipedia, academic sources, established company blogs - Content with clear, extractable answers wins over dense narrative **Citation behavior:** - Inline citations in the answer ("according to [Source]") - Sources panel at the bottom - Not all cited sources get equal weight in the synthesis **What to prioritize for ChatGPT:** 1. Ensure Bing has indexed your pages (submit to Bing Webmaster Tools) 2. Allow `GPTBot` in robots.txt 3. Structure content with explicit definition and step patterns 4. Author attribution with credentials helps — include author bylines 5. Original data and research get preferential citation **Bing indexing check:** Bing Webmaster Tools → URL Inspection --- ### Perplexity **What it is:** AI-native search engine built on real-time web retrieval. Every answer cites sources with a numbered reference panel. Among the most transparent about citation. **How it selects sources:** - Has its own crawler (PerplexityBot) plus access to third-party indexes - Real-time retrieval for every query — very current - Strongly rewards structural clarity: numbered lists, definition blocks, tables - Tends to pull from multiple perspectives on a query (shows variety in citations) - Recency bias is strong — old content competes poorly against recent content on current topics **Citation behavior:** - Numbers every cited