Why does AI recommend your competitor and not you?

A competitor may have clearer information for that question, stronger relevant coverage or a different fit for the buyer’s stated needs. Inspect several answers and their sources before choosing what to change.

How do AI assistants decide which businesses to name?

When an assistant uses web search, it can retrieve pages relevant to the question and use them to develop an answer. Search behaviour differs by engine, mode and query. Some answers may rely on previously learned information without a fresh search.

For answers that use web search, three useful checks are retrieval, interpretation and support. Can the engine find the page? Does it state the relevant facts clearly? Do other reliable sources support those facts? These are practical diagnostic checks, not a published ranking formula.

Google’s guidance on AI features explains that existing SEO foundations remain relevant and inclusion is not guaranteed. Start with pages that are accessible, useful and supported by evidence.

Why is my competitor mentioned when we’re not?

Usually one of three things, and often all three. The sources the assistant found for that question mention your competitor and not you, your competitor has a page that answers the question in words the assistant can lift, and your competitor is described consistently wherever they appear.

Coverage is the big one. For a question like “who’s a good payroll provider for a 50-person company”, the assistant is reading comparison articles, directories, review sites, trade press, forum threads and LinkedIn posts. If your competitor is in those and you aren’t, the answer is written before your website is ever opened.

Match is the second. Your competitor may have a page titled with the customer’s question that answers it in the first paragraph. Your equivalent may be a services page that describes what you do in general terms. The assistant is looking for the former.

Consistency is the third. If you’re “Smith & Co” on your site, “Smith and Company Accountants” in a directory and “Smiths” on LinkedIn, with two addresses and three descriptions of what you specialise in, the assistant can’t place you confidently, so it doesn’t.

Is it because their website is better than ours?

Mostly no. A better website helps you get cited for specific questions and helps the assistant confirm facts about you, but a recommendation for a “who should we use” question is built from what other sites say. Two businesses with equally good websites can have completely different visibility depending on how often, and how consistently, the rest of the web describes them.

That’s the part most businesses miss. They rewrite their own pages, see no change, and conclude AI search is random. It isn’t random. It’s reading sources you haven’t looked at. The source ecosystem in AI search explains which ones tend to matter.

Which sources are the assistants using?

The mix varies by assistant, but the usual ones are comparison and “best of” articles, directories and review platforms, industry publications, LinkedIn, YouTube, Reddit and other forums, Wikipedia for larger organisations, and the businesses’ own sites. Google’s assistants lean towards what ranks well in Google, including video and forum threads. ChatGPT leans more on pages it can read directly.

You don’t need to guess. Ask the assistant the question where your competitor is named, then look at the sources. Google AI Mode and Perplexity show links beside the answer. ChatGPT shows citations when it has searched the web, and you can ask it directly which sources it used. Claude does the same. Note every page cited, then check whether you appear on any of them. That list is your work plan, and it’s usually shorter than you’d expect.

Does the answer change from one assistant to the next?

Yes, often a lot. The same question can name your competitor in Google AI Overviews and not in ChatGPT, or the other way round, because each assistant searches a different index and weighs sources differently. Before you conclude you’re invisible, check all of them. How to check what ChatGPT says about your company covers how to do that in an hour without fooling yourself.

What can we do about it?

Five things, in this order. Write down the questions where your competitor is named and you aren’t. Find the sources cited for those questions. Get described on those sources. Make one page on your site answer each question directly. Then measure it for weeks, not once.

Getting described on the right sources means the plain routes: being listed in the directories and comparison pieces that are cited, being covered by the publications the assistants read, answering the forum threads as yourself, and having customers review you where the assistant looks. None of it is clever. It’s the coverage your competitor already has.

For your own pages, open with the answer, use the words the question uses, and be specific. A study of AI search visibility from Princeton and partner universities found that adding statistics, quotations and cited sources to a page increased how often it was used in AI answers, while adding keywords didn’t help. What pages to fix first for AI search shows how to choose where to start.

Then measure. Ask the same questions across the same assistants every week and record who’s named. How competitor benchmarking works in AI search covers how to do that fairly. If a smaller rival with a thinner site keeps beating you, why smaller competitors beat you in AI answers explains what’s going on.

Where to go from here

This is what Gain, Tilio’s monthly AEO programme, is for. Analytics tracks the questions your customers ask across the agreed answer engines and shows where competitors are named instead of you. It sits alongside agreed content, technical improvements and off-site work. Are you free for 20 minutes in the next week or so?