What Is Answer Engine Optimization (AEO)?
Answer engine optimization (AEO) is the practice of making your business visible in AI-generated answers — not just in search results. When someone asks ChatGPT "who's the best HVAC contractor in Hamilton" or asks Perplexity "find me a real estate lawyer in Kitchener," they're not clicking ten blue links. They're reading a synthesized answer that names specific businesses. AEO is the work of getting your business named in those answers.
Most local businesses have never heard the term. Almost none of them have done the work.
The difference between a search engine and an answer engine
A search engine like Google returns a list of pages. The user decides what to click. Ranking is about visibility — appear high enough that someone chooses you.
An answer engine skips the list. ChatGPT, Perplexity, Claude, and Gemini synthesize a response and deliver a recommendation directly. The user rarely sees the underlying sources. They just get the answer.
This changes what "winning" means. On Google, you win by ranking. On an answer engine, you win by being cited — named as the answer. There's no position two. Either you're in the response or you're not.
Why traditional SEO doesn't translate directly
Good SEO helps with AEO, but it's not the same thing. A business can have a perfectly optimized site — fast load, solid content, quality backlinks — and still score near zero when we run queries against AI platforms.
The reason is that AI models evaluate different signals. Google is primarily reading your pages and measuring authority through links. AI models are evaluating whether they have enough structured, consistent, credible information to confidently recommend you.
That confidence factor is key. When an AI model doesn't have a clear picture of what your business is, who you serve, and where you operate, it doesn't guess and recommend you. It omits you — or recommends a competitor whose profile is cleaner.
What answer engines actually look at
Based on Signal Check data across hundreds of audits, four signal categories drive AI citation rates.
**Structured data.** AI models read your schema markup the way a human reads a business card. A LocalBusiness schema block with your name, address, phone, hours, and the cities you serve tells AI models exactly what they need — without requiring them to infer it from scattered text. Missing or incomplete schema is the single most common reason we see clients omitted from AI answers.
**Entity consistency.** Your business name, address, and phone number should appear identically across your website, Google Business Profile, Yelp, and directory listings. AI models build a representation of your business by aggregating these signals. Inconsistent data — different phone numbers, an old address still live somewhere — creates uncertainty and lowers confidence. Lower confidence means fewer citations.
**Content specificity.** Pages that explicitly name what you do, where you do it, and for whom match AI queries more reliably than vague or creative copy. A plumber whose service page says "residential plumbing services in Barrie, Innisfil, and Orillia" will be retrieved for location-specific queries. One whose page says "quality plumbing you can trust" will not.
**Third-party corroboration.** The more credible external sources that describe your business consistently — directories, review platforms, industry associations — the more confident AI models become in recommending you. This is different from SEO backlinks. A basic Homestars listing or BBB profile adds meaningful corroborating signal even without passing link equity.
The platforms you need to think about separately
Not all AI platforms work the same way, which is why AEO isn't a single-strategy problem.
ChatGPT draws primarily on training data, supplemented by live search when browsing is enabled. Getting into training data is a longer-term play — it happens through content that gets crawled, indexed, and included in future model updates. The fast levers are schema, entity consistency, and explicit content structure.
Perplexity does a live web search on every query. That means changes you make today can appear in Perplexity results within weeks. City-specific service pages, well-structured FAQ content, and directory listings all move the needle faster on Perplexity than on any other platform.
Gemini benefits specifically from a complete and verified Google Business Profile — Google's own data feeds directly into its knowledge graph. Claude and Gemini both respond well to schema markup and consistent entity data across the web.
Each platform has different retrieval behavior, which is why a Signal Check scores them individually rather than giving you one blended number.
How AEO differs from local SEO
Local SEO is about ranking in Google Maps and the local pack. AEO is about being named in conversational AI responses. The audience has the same intent — finding a local business — but the interface and the decision process are completely different.
On Google, a user sees your name, your rating, and your address. They make a choice. On an answer engine, the AI makes a recommendation, and the user often acts on it without comparing options. If you're cited, you're chosen. If you're not cited, you don't exist in that interaction.
AEO isn't a competitor to local SEO. It's a separate channel that requires its own set of signals — and those signals are not automatically covered by what you've already done for Google.
What AEO work actually looks like
Most AEO improvements are structural, not creative. They don't require a content overhaul or a new brand voice. They require being explicit where you've been vague.
Add a properly formatted LocalBusiness schema block to your homepage. Create an llms.txt file at your domain root that describes your business in plain language. Make sure your Google Business Profile is complete and that the information there matches exactly what's on your website. For each core service, have a dedicated page that names the service and the cities you serve — not a single "Services" page that covers everything.
These are the fundamentals. If you have them in place, you're ahead of most businesses in your category.
Checking where you actually stand
The challenge with AEO is that you can't see your score the way you can see a Google ranking. AI platforms don't have a rank tracker equivalent.
What you can do is run structured queries across platforms and see whether your business is cited, mentioned, or omitted — and compare that against your direct competitors. That's what a Signal Check at sourcepull.ca does: 40 real queries across ChatGPT, Perplexity, Claude, and Gemini, scored and broken down by platform and service type. It's free and takes about five minutes. If you haven't checked your AEO baseline yet, it's the obvious first step.
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