Answer Engine Optimization (AEO) is the practice of structuring content so AI assistants and AI Overviews use it as the cited source when answering user questions. It overlaps with SEO by ~80% - the on-page tactics are mostly the same - but the target queries and measurement differ.
The acronym soup gets confusing. AEO, GEO (Generative Engine Optimization), LLMO (Large Language Model Optimization), and AI SEO mostly refer to the same body of work. Different consultants prefer different acronyms; the underlying tactics are nearly identical.
What's actually different about AEO vs SEO
Three things:
Target queries shift toward conversational and question-shaped. Traditional SEO targets keywords ("best CRM"). AEO targets questions ("what's the best CRM for solo consultants under $50/month"). The phrasing matters because AI assistants get questions, not keyword stuffing.
Citation matters more than ranking position. A page ranked #5 in Google with strong factual claims often gets cited by AI assistants more than a page ranked #1 with thin content. Position is a signal, not the answer.
Measurement is different. SEO measures rank, traffic, conversions. AEO measures citation rate per query, branded mentions in AI answers, and AI-referrer traffic. Tools to measure AEO are newer and less mature.
The 80% overlap with SEO: on-page basics, content quality, schema markup, internal linking, technical hygiene all matter for both.
When AEO matters most
For these audiences and topics:
- Technical / B2B / SaaS - your audience uses ChatGPT and Perplexity to research solutions. Citation rate directly drives qualified traffic.
- Knowledge work - anything where someone asks "how do I…" or "what's the difference between…" - AI assistants increasingly answer these directly.
- Niche expertise - if your domain has a small number of authoritative sources, becoming one of them captures a disproportionate share of AI citations.
It matters less for:
- Local services (people don't ask ChatGPT for plumbers)
- Heavily branded purchases (people search the brand directly)
- Time-sensitive content (news, events) - AI is slower than search here
- Visual products (fashion, decor) - discovery happens elsewhere
The actual AEO tactics
1. Target question-shaped queries. Find the questions your audience asks. Tools like AnswerThePublic, AlsoAsked, or just running keyword research with question modifiers (how, what, why, when, which).
2. Answer the question early on the page. AI assistants are good at extracting the answer from the first 100-300 words. Bury the answer in paragraph 12 and you lose to a competitor who put it up top.
3. Use FAQ schema aggressively. FAQ JSON-LD maps directly to "extract the answer" workflows. Every page targeting a question-shaped query should have it. Generate it with the schema markup generator.
4. Make factual claims that are quotable. "X costs $Y" is quotable. "X has competitive pricing" isn't. Specific numbers, dates, and names make better citations than vague descriptions.
5. Link out to authoritative sources. Models notice when a page references other respected sources. It signals research depth. Don't be precious about linking out.
6. Keep content fresh. Recency signals matter for AI citations. Update dates and content when meaningful changes happen. Fake "updated" timestamps with no actual changes get caught.
7. Build domain authority through real means. AI tools cite domains they trust. Trust is mostly a function of established traffic, real backlinks, and consistent quality. AEO doesn't bypass the slow work of building a credible site.
Common AEO mistakes
The four we see:
Optimizing only for AEO and skipping traditional SEO. AI Overviews and ChatGPT (with web search) pull heavily from top Google results. Skipping SEO means losing the underlying ranking that feeds AI visibility.
Stuffing content with FAQ schema for questions nobody asks. Schema for questions you've made up doesn't help. Use real questions from real users - pulled from search data, customer support, sales calls.
Treating it as a separate function from SEO. The same person should own both. The page work is largely the same; splitting them duplicates effort.
Paying premium consulting fees for "AEO services" that are basically just SEO. Most "AEO consultants" do regular SEO with extra emphasis on FAQs and schema. Worth paying for if you'd pay for SEO; not worth a 3x premium.
How to measure AEO
Two tracks:
Direct citation tracking. Run target queries through ChatGPT, Perplexity, Gemini, Google AI Overviews periodically. Track which domains get cited. Our ChatGPT Citation Checker covers ChatGPT.
Referrer traffic. AI assistants show up in analytics as chat.openai.com, perplexity.ai, claude.ai. Watch this segment grow.
Realistic expectations: AI-referrer traffic is currently 1-5% of organic traffic for most B2B sites and growing fast. In 2-3 years it could be 10-20%. Worth optimizing now to compound the lead.
The AEO checklist
For any page targeting AI citations:
- ✅ Page targets a specific question
- ✅ Answer in first 100 words
- ✅ FAQ schema for related questions
- ✅ Article schema with author, dates
- ✅ 3-5 specific factual claims with numbers/names/dates
- ✅ Outbound links to 1-2 authoritative sources
- ✅ Updated within last 6 months (or has a clear "last updated" date)
- ✅ Page ranks (or is targeting to rank) in Google's top 10 for the underlying query
If a page hits all 8, it's positioned for AI citations. Now wait - citation rates take time to compound, same as SEO.
What to do next
If AEO is interesting but you want the bigger picture, LLM SEO guide covers AI search optimization more broadly. For traditional SEO basics first, What is SEO? is the gentler entry. For tactical tools, best AI SEO tools covers what's actually worth paying for.
We do AI-search audits and AEO consulting starting at $400 per project. Book a 15-min call if you want help.