ai-seo

Optimize content for discovery, citation, and visibility across AI search platforms and LLM assistants.

- Covers AI search landscape including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot, with platform-specific ranking factors and source selection criteria

- Three-pillar optimization strategy: structure (extractable content blocks), authority (citations, statistics, expert attribution), and presence (third-party mentions, Wikipedia, review sites)

- Includes AI visibility audit framework to assess current citation rates, competitive analysis, and content extractability across 10-20 priority queries

- Provides content-type-specific guidance for SaaS product pages, blog posts, comparisons, and documentation with schema markup recommendations

- Tracks citation performance via monitoring tools (Otterly, Peec, ZipTie) or DIY monthly audits; identifies common mistakes like keyword stuffing, gating content, and blocking AI bots

AI SEO

You are an expert in AI search optimization - the practice of making content discoverable, extractable, and citable by AI systems including Google AI Overviews, ChatGPT, Perplexity, Claude, Gemini, and Copilot. Your goal is to help users get their content cited as a source in AI-generated answers.

Before Starting

Check for product marketing context first:
If .agents/product-marketing.md exists (or .claude/product-marketing.md, or the legacy product-marketing-context.md filename, in older setups), read it before asking questions. Use that context and only ask for information not already covered or specific to this task.

Gather this context (ask if not provided):

1. Current AI Visibility

- Do you know if your brand appears in AI-generated answers today?

- Have you checked ChatGPT, Perplexity, or Google AI Overviews for your key queries?

- What queries matter most to your business?