When a customer asks ChatGPT 'who's the best SEO agency in Montreal?' or asks Perplexity to compare web developers, the businesses that get named win a recommendation no ad can buy. Answer Engine Optimization (AEO) is the practice of making sure that name is yours.
What AEO actually is
AEO is the discipline of optimizing your brand and content so that AI assistants — ChatGPT, Perplexity, Gemini, Claude, and others — mention, cite, and recommend your business in their answers. It builds on traditional SEO but adds new requirements specific to how AI engines select and trust sources.
The core difference between SEO and AEO:
- SEO optimizes for ranked positions in search results. You compete for clicks in a list of ten blue links.
- AEO optimizes for citations in AI-generated answers. You compete to be the source the AI trusts enough to quote.
Both disciplines share foundational tactics — quality content, technical health, authority building — but AEO adds entity clarity, cross-web consistency, and machine-readable structure as critical requirements.
For a deeper comparison, see our guide on LLMO vs SEO.
How language models decide who to mention
We'll walk through the selection inputs below — they're the same factors our AI Visibility Alerts scores on every scan.
Chat assistants don't pull from a live ranking the way Google does. They draw on their training data and, increasingly, on real-time web retrieval. Both routes reward the same thing: being frequently and consistently described, in trustworthy places, as a leader in your category.
The selection process considers multiple factors:
- Entity recognition — Can the AI confidently identify your brand as a distinct entity?
- Content clarity — Can the AI extract direct, quotable answers from your content?
- Cross-web consistency — Do multiple sources agree about who you are?
- Authority signals — Do other sources reference and cite your brand?
- Structured data — Does your site provide machine-readable context?
Each engine weighs these factors differently, which is why your performance might vary across ChatGPT, Perplexity, and Gemini.
Why ChatGPT and Perplexity cite differently
ChatGPT leans on depth and authoritativeness — it tends to prefer well-developed, credible pages, especially when browsing mode is on. Perplexity is a citation-first machine: it will happily cite five sources for a single answer, including smaller sites, if their content is clean, specific, and attributable. Both reward the same fundamentals; the difference is that Perplexity is faster to reward a small site with one strong page.
That's worth internalizing if you're a smaller business. You don't need a decade of authority to win Perplexity citations. You need one page that states the answer plainly and is corroborated by consistent facts elsewhere.
The AEO playbook
1. Get mentioned on sources AI trusts
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Earn coverage and listings on reputable third-party sites, directories, and 'best of' roundups. These independent mentions validate your reputation.
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Encourage genuine reviews on Google, Clutch, and industry platforms — AI reads reputation signals. Reviews provide the social proof AI engines need before recommending your business.
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Pursue digital PR: being quoted or featured builds the associations models learn from. Local media coverage, industry publications, and expert roundups all contribute. The credibility work behind these mentions — real experience and demonstrable expertise — is the same E-E-A-T layer Google and AI engines both reward.
Our guide on AI trust signals explains why reputation and consistency are the underrated half of AEO.
2. Make your own content machine-readable
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Answer real questions directly and completely, in plain language. Write answers the way you'd want an AI to quote them.
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Use clear entities: your business name, location, and services stated explicitly and consistently. Entity clarity is the foundation of AEO.
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Add Organization, LocalBusiness, and FAQ schema so machines can extract the facts cleanly. Our guide on structured data for AI visibility covers implementation.
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Publish an llms.txt and keep your site fast and crawlable for AI retrieval bots.
3. Be consistent everywhere
Models reward consistency. Your name, category, location, and value proposition should read the same across your site, your profiles, and third-party mentions. Contradictory information dilutes the association.
This means:
- Identical business name across all platforms
- Same address format everywhere
- Consistent service descriptions
- Matching business hours
- Uniform brand messaging
The consistency rule is the cheapest, least glamorous part of AEO, and it's also the one where we see the biggest missed opportunities. Most brands are a different hyphenation, a different category label, or a slightly different service name somewhere.
Traditional SEO gets you the click. AEO gets you the recommendation — and a recommendation from a trusted AI is the closest thing to a referral at scale.
AEO for local businesses
Local businesses have a particular advantage in AEO because AI engines often prioritize local signals for location-based queries. When someone asks "best [service] in [city]," the AI looks for businesses with strong local entity signals.
Key local AEO tactics:
- Complete Google Business Profile — Every field filled, accurate, and consistent with your website
- Local citations — Consistent business information across local directories
- Local reviews — Google reviews and industry-specific review platforms
- Local content — Pages that answer location-specific questions
- Local links — Links from local organizations, chambers of commerce, and community sites
Our guide on how to get recommended by AI covers the local business playbook in detail. Restaurants, in particular, have a fast track here — food queries are heavy AI territory.
The 90-day AEO rollout
AEO isn't a one-week project, but you can build it in three clear stages:
- Month 1 — Fix the base. Audit your NAP consistency, complete your Google Business Profile, add Organization/LocalBusiness/FAQ schema, and fix your two highest-value pages so they answer the top buyer questions in the first paragraph.
- Month 2 — Earn corroboration. Launch a review-incentive flow, chase two credible third-party mentions or roundup placements, and publish one genuinely original piece (survey, case study, named process).
- Month 3 — Measure and adjust. Run your query set across ChatGPT and Perplexity, record who's cited and how you're described, and patch the gaps the comparison reveals.
Each month builds on the last. Skipping straight to month two without fixing the base means the machines still can't identify you — and your earned mentions have no clean entity to attach to. Published on schedule, though, most brands see their first measurable shift in citation coverage by the end of month two, and a second, bigger one around month four as corroboration and content start working together.
How to measure it
Track it directly: periodically ask ChatGPT, Gemini, and Perplexity the questions your buyers would ask, and note whether you're mentioned and how you're described. Watch for referral traffic from AI platforms in your analytics, which is now a measurable and growing channel.
The measurement framework:
- Identify your query set — The questions your buyers actually ask AI engines
- Check each engine — ChatGPT, Perplexity, Gemini, Claude
- Record citations — Which engines cite you, how they describe you, and what sources they reference
- Track over time — Monitor weekly to catch changes and measure progress
- Compare competitors — See where competitors are cited and you're not
Our AI visibility audit provides the framework for this measurement and turns raw answers into a number you can track month to month.
The AEO investment
AEO isn't a one-time project — it's an ongoing practice. The businesses that consistently invest in entity clarity, content quality, and cross-web consistency build compounding returns. Each improvement makes the next one more effective.
The most efficient approach is to layer AEO practices onto your existing SEO workflows. You're not replacing your SEO strategy — you're extending it to include AI visibility.
The AEO scorecard you can run monthly
A simple scorecard turns abstract "are we visible?" into a number you can track. Give your business one point for each item that holds true, then compare month to month:
- NAP (name, address, phone) identical across website, Google Business Profile, and three major directories
- Organization and LocalBusiness schema present and validated
- FAQ schema on pages with question-and-answer content
- Top five buyer questions answered in the first paragraph of a dedicated page
- At least one third-party mention or review platform actively supporting your brand
- Review velocity steady or improving
- Referral traffic from at least one AI engine recorded in analytics
- No contradictions between your profile and your website
Scores of 0-3 mean the base isn't built — start at Month 1 of the rollout above. Scores of 4-6 mean the base is solid and you should push on corroboration and original content. Scores of 7-8 mean you're competitive and the remaining work is measurement and maintenance. Whatever your score, keep the same ten questions constant; changing target questions every week makes month-to-month comparison meaningless.
For a deeper dive, see our guide on understanding your AI visibility score.
For a deeper dive, see our guide on how to audit your AI visibility.
We build AEO into every engagement — from schema and entity consistency to the digital PR that earns trusted mentions. Curious whether AI already knows your brand? We'll check as part of a free teardown.