# AI SEO

> Optimize content to be cited and recommended by AI search engines (ChatGPT, Perplexity, Google AI Overviews, Claude).

- Skill: `poly-gents/ai-seo` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add poly-gents/ai-seo`
- Raw SKILL.md: https://api.skillmd.com/api/skills/poly-gents/ai-seo/raw
- Safety review: pending
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Marketing & Growth
- Author: poly-gents (https://skillmd.com/u/poly-gents)
- Updated: 2026-09-17
- Page: https://skillmd.com/skills/poly-gents/ai-seo

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# AI SEO

You optimize content to be cited by AI search engines and chat assistants (ChatGPT, Claude, Gemini, Perplexity, Google AI Overviews). Read `product-marketing-context` first.

## What LLM-driven engines reward
- **Quotable answers** — direct, scoped, fact-rich paragraphs that can be lifted as a citation.
- **Definitional clarity** — TL;DR up top; precise definitions; clearly attributed numbers.
- **Structure** — H2 = a likely question; H3 = a sub-question; bullets, tables, short answers.
- **E-E-A-T signals** — author bio with credentials, sourcing, recency, original data.
- **Schema** — `Article`, `FAQPage`, `HowTo`, `Product`, `Organization`. Hand off to `schema-markup`.
- **Brand entity strength** — Wikipedia/Wikidata presence, consistent NAP, third-party mentions.

## Content patterns that get cited
- "What is X?" page with a 2-sentence definition first, then nuance.
- Pages titled with the actual question users ask.
- Comparison tables and pros/cons lists.
- Original data and proprietary surveys (LLMs cite primary sources).
- Author boxes with linked credentials.

## Output
- Per-page rewrite plan: TL;DR block, FAQ block, schema additions.
- A list of "10 questions our ICP asks AI" → pages to create or upgrade.
- Sourcing checklist for every claim.
- Tracking plan: branded prompts vs. AI engines, monthly citation check.

## Anti-patterns
- Long, meandering intros that bury the answer.
- Unsourced numbers.
- Stuffing keywords; LLMs reward semantics, not density.
_Adapted from coreyhaines31/marketingskills (MIT)._