Most AEO advice is either too abstract ("create high-quality content") or too tactical without context (a 40-item checklist with no sense of what matters most). This is a prioritized version — what to fix first, what matters less than people think, and why.
- Run a baseline AI visibility audit across ChatGPT, Claude, and Gemini before changing anything — you need a starting point to know if changes work
- Identify your actual buyer questions, not assumptions — use real query phrasing, not internal jargon
- Check all three platforms separately, not just one — scores frequently diverge significantly between them
- Answer the question in the first 1-2 sentences of any section — don't bury the answer in preamble
- Use clear, descriptive headings that match how people actually phrase questions ("How much does X cost?" not "Pricing Considerations")
- Write complete, self-contained answers — AI engines extract and cite chunks of content, so each section should make sense in isolation
- Add a dedicated FAQ section to high-value pages, covering the specific questions buyers ask
- Implement FAQPage schema on any page with an FAQ section
- Implement Article schema on blog/content pages with author, date, and publisher info
- Validate every schema implementation with Google's Rich Results Test — broken schema is worse than none
- Use HowTo schema for step-by-step content where applicable
- Get listed on review sites relevant to your category (G2, Capterra, industry-specific directories) — these are heavily weighted in AI training data
- Pursue inclusion in "best of" roundup articles — these map directly to the category queries buyers ask AI engines
- Keep your positioning consistent across every external mention — inconsistent descriptions make it harder for AI engines to form a clear picture of what you do
- Re-audit monthly to track whether changes are moving your score
- Track competitor visibility alongside your own — relative position matters as much as absolute score
- Watch for negative sentiment, not just absence — a low score can mean two very different problems
What Matters Less Than People Think
A few common AEO tactics get more attention than their actual impact justifies:
- Keyword density in content — AI engines extract meaning, not keyword frequency. Stuffing keywords doesn't help and can hurt readability.
- Publishing volume alone — ten thin, generic posts are worse than two genuinely comprehensive ones. AI engines cite depth, not frequency.
- Optimizing for a single platform — if you only check ChatGPT and ignore Claude/Gemini, you're optimizing for one-third of the picture.
The compounding effect: these practices reinforce each other. Structured, directly-answering content is more likely to get cited by third parties, which builds the external coverage that improves your underlying AI training signal, which then makes your own content even more likely to be trusted and cited. Start with measurement and content structure — they unlock the rest.
Start with your baseline
Find out exactly where you stand across ChatGPT, Claude, and Gemini before you start optimizing.
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