Visibility Is Only One of Three Doors
Most companies auditing their AI presence are checking the wrong thing, and the two things they are not checking are worse.
In the last few weeks I have had days where back to back client meetings were, functionally, the same conversation.
"We need to make sure we show up in AI search."
"Being visible in AI search is everything."
"Our competitors show up in AI search. Why don't we?"
Fair questions. But underneath all of them is the same assumption: that visibility is the whole problem. It isn't. It's one third of it, and it's arguably the least dangerous third.
Imagine three doors.
Behind door one, a customer asks AI for a recommendation in your industry, in your area. You don't show up. Your competitor does. You lose a lead you never knew existed.
This is the scenario everyone is worried about, and it's where most conversations about AEO stop. It's a real problem. It's also a quiet one. You don't feel it happening.
Behind door two, you show up every single time. Top of the list, every query, every engine. And your opening hours are wrong. The contact email is three employees out of date. The service area covers a county you stopped working in two years ago.
Door two is worse than door one, because AI is now actively working against you at scale. It's confidently sending real, motivated buyers toward a version of your business that doesn't exist. Someone drives to your location on a day you're closed. Someone emails an address that bounces. They don't conclude the AI was wrong. They conclude you were.
Behind door three, and this is the one that stops people in meetings: you show up, the information is correct, and AI tells the user to go somewhere else.
Before you decide that's not a real risk, run the test yourself. Ask ChatGPT to rank the top providers in your category and explain the ranking. Then read what it says about the bottom of that list. The tone gets sharp very quickly. It will speculate about quality, pricing, responsiveness, and reputation, and it will do it in a calm, authoritative voice that reads as fact to whoever asked.
If your brand ends up in that half of the list, you have a reputation problem that no amount of visibility work will solve.
So there are three things to measure, not one.
Visibility. How often and how prominently do you appear when someone asks about your industry, your service, or your area? This is the entry ticket. It's necessary and it isn't sufficient.
Accuracy. When AI describes your business, is it right? Hours, locations, services, pricing structure, team, contact details, service area. Models pull from a wide and messy set of sources, and stale information doesn't expire on its own. It gets repeated with total confidence.
Sentiment. What tone does AI use when it talks about you? Is it framing your brand the way you've spent years and real money building it, or is it filling gaps with assumptions? A model that describes you as "a smaller local option" when you're the largest operator in the region has just cost you a deal in a sentence.
The takeaway: visibility without accuracy sends buyers to the wrong place. Visibility without sentiment sends them to your competitor with your own name in the recommendation. You need all three, and you can't fix what you haven't measured.
Here's a quick exercise. Open ChatGPT, Perplexity, or Google's AI Overviews, and ask about your business by name. Then, in a new chat, ask for a recommendation in your category without naming yourself. Read both answers carefully.
If you're not completely confident in what comes back, that's worth a proper look. The Deksia team will run a full AEO audit across all three doors, free of charge, and show you exactly where you stand.
Frequently Asked Questions
What is Answer Engine Optimization (AEO)?
Answer Engine Optimization is the practice of making sure AI systems like ChatGPT, Perplexity, Google AI Overviews, and Copilot can find your business, describe it accurately, and recommend it favorably. It differs from traditional SEO because the goal is not a ranked list of links but a single generated answer, which means there is far less room on the page and the framing of that answer matters as much as the placement.
What are the three pillars of AEO?
The three pillars are visibility, accuracy, and sentiment. Visibility is whether AI mentions you at all when someone asks about your category. Accuracy is whether the details it gives about you are correct. Sentiment is the tone and framing it uses when describing your brand. A business needs all three, because strong visibility paired with wrong information or negative framing actively works against you.
Why does my competitor show up in AI search when I don't?
Competitors usually appear because AI models have more consistent, structured, and corroborated information about them across the sources those models draw from. That typically means clearer service and location pages, structured data on the site, consistent business details across directories and third party listings, and third party coverage like review sites, roundups, and press. Ad spend and traditional keyword rank have little direct influence.
Can AI give wrong information about my business?
Yes, and it happens frequently. AI models pull from a wide mix of sources including your website, directories, review platforms, news articles, and old cached pages, and outdated details do not expire on their own. Wrong hours, stale contact addresses, retired services, and incorrect service areas get repeated with full confidence, and customers assume the error is yours rather than the model's.
How do I check what AI says about my business?
Run two prompts. First, ask an AI tool about your business by name and read the description for factual errors. Second, ask for a recommendation in your category and location without naming yourself, and see whether you appear and how you are framed. Repeat both across ChatGPT, Perplexity, and Google AI Overviews, because results vary significantly between engines.
Why does AI say negative things about my brand?
Negative framing usually comes from gaps rather than malice. When a model lacks solid information about your pricing, scale, responsiveness, or quality, it fills those gaps with inference drawn from thin signals like a sparse review profile, an outdated website, or a competitor comparison article. The result reads as confident judgment even though it is guesswork.
Is AEO the same as SEO?
No, though they overlap. SEO optimizes for position in a list of links, while AEO optimizes for inclusion and framing inside a generated answer. Good technical SEO helps AEO because it makes content easier to parse, but AEO adds requirements that SEO does not cover, including factual consistency across third party sources and active management of how your brand is characterized.
How long does it take to improve AI visibility?
Accuracy fixes can surface within weeks because they often involve correcting structured data and third party listings that models re-crawl regularly. Visibility and sentiment improvements take longer, typically one to two quarters, because they depend on building corroborating signals across sources you do not directly control. Timelines vary by industry competitiveness and how much existing coverage a brand has.
ABOUT THE AUTHOR
Matthew Higham is an Enterprise Growth and Technology Manager at Deksia. He spends his days helping clients figure out why last quarter's marketing did or didn't work, and what to do about it next quarter. He's also one of the builders behind Deksia's in-house AEO audit framework, the same one we use to score how clients show up across ChatGPT, Perplexity, Google AI Overviews, and Gemini.
