A buyer who used to search "managed IT services near me" now asks ChatGPT which provider suits a 50-person firm. The assistant returns two or three names. That is the shortlist, and nothing below it gets a call.
So we tested what actually gets a provider onto those lists. We ran 40 live queries, ten prompts against ChatGPT, Gemini, Claude and Perplexity, with web search enabled on every one. The prompts were written the way a buyer writes them: "top managed IT services providers for small business 2026", "best MSP for flat rate all inclusive IT support", "best managed IT services provider in Atlanta", plus educational questions like "how much does managed IT support cost per user per month". The test subject was Cortavo, a US managed services provider that is a client of ours, which is worth stating plainly up front. It is a single provider tested once, so treat what follows as a probe rather than a study.
It is achievable, which is the first useful finding
The provider appeared unprompted on three of the five commercial buyer queries, and in most of those cases the assistant cited its domain as a source rather than just naming it.
That matters because the prevailing assumption in this industry is that AI recommendations are a black box reserved for national brands with enormous budgets. In this run, a mid-sized provider surfaced against generic category queries. Whatever is happening inside these systems, it is not purely a function of size.
The geographic query is the one to note. "Best managed IT services provider in Atlanta 2026" returned the provider on two of four assistants. Local and vertical framing gave the models something specific to match against, and specificity appears to help.
The educational questions are a dead zone
Now the uncomfortable half. Across all three educational prompts, on all four assistants, twelve cells in total, the provider appeared zero times.
"What should a business look for when choosing a managed service provider." "How much does managed IT support cost per user per month." "What is included in all inclusive managed IT services." These are the questions buyers ask first, months before they are ready to shortlist anyone. They are also the questions almost every MSP website nominally answers, on a services page or an FAQ.
The assistants did not reach for any provider's website to answer them. They reached for trade publications, comparison articles and independent explainers. A vendor page explaining what managed IT includes is, structurally, marketing copy about that vendor. An article explaining what managed IT includes is a reference. The models appear to treat those differently, and only one of them gets quoted.
That is the widest open door in this whole exercise. The commercial queries are contested. The educational ones, where the buyer forms their view of what good looks like, are being answered by everyone except the providers.
The four assistants disagree with each other
Coverage was uneven. Gemini and Claude each returned the provider on four of ten prompts, Perplexity on three, ChatGPT on two.
ChatGPT being weakest is the awkward part, since it is the one with the most users. The likely reason is architectural. Perplexity and Gemini lean on live retrieval, so a recent third-party mention can reach them relatively quickly. ChatGPT weights what it absorbed in training more heavily, which moves slower and favours sources that have been referenced widely and for a while.
The practical implication is a timing one. Work you do this quarter is likelier to show up first in the retrieval-first engines, and to reach the largest audience last. That is an argument for starting earlier, not for waiting to see whether it works.
What appears to move it
Four things, in the order we would do them.
Get referenced somewhere other than your own domain. Trade coverage, genuine industry roundups, podcast appearances with a written transcript, maintained partner directories. Every citation we saw behind a "who is best" answer traced back to a source that had already made a comparative judgement. Your own site cannot make that judgement credibly, because every provider's site says the same thing about itself.
Answer the educational questions properly, in public. Pricing structures, what is actually included at each tier, how to evaluate a provider. Specific enough to be quotable, which means naming numbers and ranges rather than inviting the reader to contact you for a quote. This is the gap the test exposed most clearly.
Put checkable facts on the site. Client counts, response-time commitments, certifications with dates, verticals, geographies. Models extract facts, and vague positioning offers nothing to extract.
Make the site machine-readable. Server-rendered content, complete Organization schema including founding year and location, FAQ blocks with matching schema, an llms.txt at the root. None of this is a differentiator. It is closer to plumbing, and we still audit MSP sites where the entire value proposition renders only after JavaScript executes, which means several crawlers never see it.
The part that takes longest
None of this is quick. The provider in this test reached that position over roughly a year of sustained work, and the first several months produced very little that looked like progress.
That is where most MSPs stop. Month three is quiet, the conclusion is that content does not work in this market, and the budget goes back to buying leads. Then a competitor who kept going takes the position, and by the time it is obvious the position is taken, it is genuinely expensive to take back.
The buyers are already asking the assistants. The question is only whose name comes back, and the honest answer from this test is that it is decided largely by what other people have published about you. For most providers, that gap is authority rather than effort. The discipline you bring to managed IT rarely exists in your own marketing.
About the author
Alexej Pikovsky is Founder and CEO of NUOPTIMA, a growth agency working with managed service providers on organic and AI search. He also runs growth inside a national MSP, which is where the testing described above gets pressure-tested against a real P&L. He can be reached at [email protected].
