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AI Search10 min read
Answer Engine Optimization (AEO): the complete guide
AEO is the discipline of being the answer, not just a result. Learn the framework, the signals and the measurement model.
LE
LumenEntity Research
Visibility & AI search team
Answer Engine Optimization treats every surface — featured snippets, AI Overviews, ChatGPT, Perplexity, voice assistants — as different renderings of the same underlying job: deliver the answer. AEO unifies them under a single playbook.
The AEO framework
- Pick the question.
- Write the canonical answer in 40–80 words.
- Surround it with disambiguating context.
- Reinforce with schema and internal links.
- Measure presence in every answer surface.
Signals AEO depends on
- Question-shaped headings with stable anchors.
- Self-contained answer paragraphs (no anaphora).
- FAQPage, HowTo and QAPage schema.
- Entity consistency across the web.
- Topical authority of the host.
Content patterns
AEO favors definition-first posts, comparison tables and step-based how-to guides. Narrative essays underperform because they bury the answer.
Metrics
- Answer share: % of priority questions where you own at least one answer surface.
- Surface coverage: across SERP features, AI Overviews, ChatGPT, Perplexity.
- Sentiment: how the model describes you when it answers.
Common pitfalls
- Optimizing for clicks rather than answers — you lose the slot.
- Skipping schema — you lose eligibility.
- Ignoring branded queries — you lose the easiest wins.
Frequently asked questions
- Is AEO different from GEO?
- AEO is a superset that covers all answer surfaces. GEO is the LLM-specific subset.
- Do featured snippets still matter?
- Yes. They are the SERP analog of an LLM citation — and they correlate with AI Overviews eligibility.
- How many questions should I target?
- Start with 25 priority questions. Expand to 100 once you own at least 60% of them.
AEOGEOAI Search
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