Answer Engine Optimization (AEO).

What AEO is — and isn't

AEO (Answer Engine Optimization) is the discipline of getting your brand named in AI-generated answers. It is the AI-era counterpart to SEO. Where SEO targets a position on a list of links, AEO targets a mention inside the synthesized answer that replaces those links.

AEO is not a hack for tricking LLMs, prompt-injection content, or stuffing keywords. AI engines optimize for trustworthy, clearly-structured answers — the same content that wins SEO usually wins AEO, with three additions covered below.

Layer 1: On-site content structure

The first thing an AI engine needs from you is content it can confidently extract. That means:

• Direct answers up front. Lead with a 1–2 sentence definition or answer before the rest of the article.
• Structured Q&A. FAQ blocks with literal question H3s outperform prose for citation.
• Comparison and listicle formats. AI engines love clean "X vs Y" tables and "best 10" structures.
• Schema markup. FAQPage, Article, Product, BreadcrumbList — all increase machine-extractability.
• Clear authorship and dates. AI engines weight trustworthy, recently-updated content.

Layer 2: Off-site source presence

This is what AEO adds that classic SEO doesn't. AI engines cite from a narrower pool of sources than Google ranks. Concentrate effort on:

• Reddit. Heavily cited by ChatGPT and Perplexity. Authentic, helpful presence in relevant subreddits matters.
• Wikipedia. Disproportionately cited. A factual, well-sourced page about your category (and ideally your brand) is foundational.
• Trusted publishers in your vertical. Industry trade press, well-known reviewer sites, and "best of" listicles.
• Your own docs and changelog. Public product docs are heavily cited for product-specific queries.
• YouTube. Increasingly retrieved for "how to" and product comparison queries.

Layer 3: Measurement

You can't improve AEO without measuring it. The minimum stack:

• A tracked prompt set of 100–500 queries representative of buyer intent.
• Daily runs across all four major engines.
• Mention rate, citation coverage, position in answer and sentiment captured per prompt per engine.
• Share of voice vs. tracked competitors.

See the full tracking playbook for the operational detail.

A 30-day AEO sprint

1. Week 1: Build prompt set, baseline visibility score across engines, identify top 10 prompts where competitors win.
2. Week 2: Audit cited sources for those 10 prompts. List the sources the AI is pulling from.
3. Week 3: Publish or update on-site content matching each prompt with direct-answer format and FAQ schema. Earn or improve presence on top cited off-site sources.
4. Week 4: Re-measure. Capture verbatim before/after answers. Iterate.

Frequently asked questions