Answer Engines & AEO
Optimize for AI answer engines like ChatGPT, Perplexity and Copilot.
Users increasingly ask answer engines - ChatGPT, Perplexity, Copilot, Gemini - instead of, or alongside, traditional search. Optimizing to be referenced by them is called Answer Engine Optimization (AEO).
How answer engines pick sources
- They favor clear, well-structured, factual content.
- They value authority and consistency across the web.
- Many use live web search (retrieval) plus their training data.
Practical steps
- Write direct answers to real questions.
- Keep facts accurate, sourced and up to date.
- Use headings, lists and tables that are easy to extract.
- Build brand authority so models associate your name with the topic.
Example
# Content patterns answer engines love to quote
- A question as an H2, answered in the first sentence
- Short definition lists and comparison tables
- Clear step-by-step numbered instructions
- Cited statistics with dates and sourcesWhen to use it
- A financial adviser optimises their FAQ pages to be cited by Perplexity and ChatGPT browsing, gaining brand visibility in AI assistant answers for budgeting questions.
- A developer tools company publishes authoritative documentation pages that ChatGPT and Copilot consistently cite when users ask about their API, driving qualified traffic.
- A B2B brand monitors ChatGPT and Perplexity responses for branded and category queries, finding gaps where competitors are cited instead and targeting those pages for improvement.
More examples
Answer engine optimisation content structure
Question-form H2 headings with direct, citable answers immediately below them match the query-response pattern AI answer engines use when retrieving and attributing content.
<article>
<!-- Question form heading — directly matches AEO query format -->
<h2>What Is the Safest Way to Invest $10,000?</h2>
<!-- Immediate, citable answer -->
<p>
The safest way to invest $10,000 is to split it between a
high-yield savings account (HYSA) for liquidity, short-term
Treasury bonds for capital preservation, and a diversified
index fund for long-term growth.
</p>
<!-- Supporting depth for human readers -->
<h3>High-Yield Savings Accounts</h3>
<h3>US Treasury Bonds</h3>
<h3>Index Fund Allocation</h3>
</article>Structured Q&A markup for AEO
FAQPage schema with complete answer text provides AI answer engines a machine-readable Q&A pair that can be directly retrieved and attributed in responses.
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is the safest way to invest $10,000?",
"acceptedAnswer": {
"@type": "Answer",
"text": "Split between a high-yield savings account for liquidity, short-term Treasury bonds for capital preservation, and a diversified index fund for growth. Each allocation should reflect your time horizon and risk tolerance."
}
}
]
}Test AEO citation with Perplexity API
Querying Perplexity's API for your target keywords and checking citations reveals whether your pages appear as sources, informing which content to optimise for AEO.
# Check whether your brand is cited in Perplexity answers
curl -s -X POST 'https://api.perplexity.ai/chat/completions' \
-H 'Authorization: Bearer YOUR_PERPLEXITY_KEY' \
-H 'Content-Type: application/json' \
-d '{
"model": "llama-3.1-sonar-large-128k-online",
"messages": [{"role": "user", "content": "What is the safest way to invest $10000?"}]
}' | python3 -c "
import sys, json
r = json.load(sys.stdin)
content = r['choices'][0]['message']['content']
citations = r.get('citations', [])
print('Answer snippet:', content[:300])
print('\nCited sources:')
for c in citations[:5]: print(' -', c)
"
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