Your next enterprise customer will ask an AI for a shortlist of IT partners. Here's what it reads

We asked ChatGPT, Gemini, Perplexity and Google's AI Overviews 120 B2B buying questions and logged more than 1,000 sources behind the answers. For IT services firms, MSPs and resellers, the results change what "being found" means.

A procurement lead at a mid-sized company needs a new managed services partner. Five years ago she would have searched Google, opened a dozen websites and asked a few peers. Today, more and more buyers start by typing the question into an AI assistant: "What are the best IT services companies for a financial services firm?" or "Which MSPs are good at cloud migrations?"

The assistant replies with a short, confident list. If your firm isn't on it, you may never make the longlist, let alone the shortlist.

So what decides who gets named? Over three rounds in October 2026, we asked ChatGPT, Gemini, Perplexity and Google's AI Overviews the questions buyers actually ask across six B2B categories, including IT services, cybersecurity software and payments. Each question was one of five types: a broad "best X" question, an industry-specific one, a very specific one, an "X vs Y" comparison and a name check ("Is company X any good?"). We then logged every source the tools used: 120 answers and roughly 1,050 sources in total. (The full method and data are published in our AI search study.)

Three findings matter most for IT services providers.

1. Broad questions are answered by other people's lists, not your website

When a buyer asks a broad question, such as "best IT services partner for healthcare", the AI tools lean heavily on third-party articles: "top 10" lists, comparison pages and roundups. In our latest round, 53% of the sources behind broad "best X" answers were third-party articles.

Your own website still matters, but for these questions it is rarely the deciding source. Being named in the articles the AI tools read is what puts you in the answer.

2. Specific questions are answered by your own pages, if you have the right ones

The picture flips when the question gets specific: "Which MSPs offer 24/7 SOC monitoring for mid-market manufacturers?" or "How long does a typical Azure migration take with a managed services partner?" For questions like these, 74% of the sources were the providers' own pages.

But the AI tools only cite a provider's page when that page clearly answers the exact question. A generic "Our Services" page listing fifteen capabilities rarely gets used. A page that says plainly who you serve, what you do for them, how long it takes and what it costs to start often does.

We tested this on our own firm: after we published a handful of pages answering specific buyer questions, the AI tools went from recommending us in 3 of 16 answers to 8 of 16 within a week.

3. Many of the "best of" lists AI tools trust are written by your competitors

This was the most surprising finding. In our latest round, Perplexity and Google cited 119 "best X", "top X" and "X vs Y" articles. Of those, 71 (60%) were published by a company selling in that same category. In other words, the "independent" list an AI tool uses to recommend IT partners may well be a competitor's blog post, ranking itself first.

Many such lists are useful, but it means the source material behind AI recommendations is shaped by whoever bothered to publish it. Firms that publish nothing are judged by what others say about them, or are left out entirely.

What IT services firms, MSPs and resellers can do about it

Check what AI tools say about you today. Ask ChatGPT, Gemini, Perplexity and Google the five or six questions your best customers would ask, including one that names you directly. Note who gets recommended and which sources are cited. Repeat monthly: the answers move week to week.

Earn your place on the lists that get cited. Look at the list and comparison articles the AI tools cite for your category. Many are maintained by industry publications, directories and analysts, and many welcome a well-evidenced suggestion. Being on two or three of the right lists can matter more than a dozen new blog posts.

Publish pages that answer specific questions. For each core service and industry you sell to, create a page that answers the questions buyers ask before they talk to sales: who it's for, what's included, typical timelines, how pricing works and what results look like. Put the answer in the first paragraph.

Make your reputation easy to verify. For name-check questions ("Is X a good IT partner?"), the AI tools leaned on review platforms and directories; in our latest round, about a quarter of the sources were review and directory sites. Current reviews and accurate directory profiles are part of how you're judged.

Get your experts quoted by publications. Coverage on recognised publications is one of the third-party sources AI tools draw on, and it lends weight that your own site can't. A practice leader quoted on a topic your buyers care about is evidence an AI tool, and a procurement team, can check.

The shortlist is being written before the first call

The shortlist is now often drafted by an AI assistant before a buyer ever visits a website or takes a call. The firms that end up on it aren't necessarily the biggest; they're the ones that are easiest for AI tools to find, verify and recommend.

The good news is that the inputs are visible. You can see what the tools read, and you can work on each input deliberately.