AI search optimisation for IT services firms

The MSP buying journey has shifted, quietly but decisively. Where an IT director might once have asked their network for a recommendation then run a Google search to shortlist, they now also ask ChatGPT, Copilot or Gemini for a starting point. The shortlist is forming earlier and the model has an opinion about who should be on it.

This post is the playbook we use with our IT services clients. It is opinionated, sector-specific and honest about what is still moving.

Why IT services is harder than SaaS

Most AI search advice you will read is written for SaaS. The dynamics for an MSP, IT consultancy or managed services firm are genuinely different.

First, the buying decision is local or sector-specific in a way SaaS rarely is. A buyer in Manchester wants a Manchester provider, or at least one with strong UK presence. The model has to reconcile category fit with geography, which is still a weak point in most LLMs.

Second, the public proof points are thinner. SaaS firms have G2, Capterra, Product Hunt and well-established review ecosystems. IT services has Clutch, a smaller set of trade-press lists and the industry awards. Less to be cited from.

Third, the offering is not standardised. “Managed IT support” means very different things across providers, and the model often struggles to map a buyer’s actual need to the right kind of firm. If you are a co-managed specialist, the model needs to understand that, not just that you do “IT”.

Our earlier piece on getting your MSP cited in AI Overviews covers some of the on-page mechanics. This post is the wider programme.

Start with the prompts your buyers actually use

The single biggest mistake we see IT services firms make is optimising for the prompt their leadership wants to win. “Best MSP in the UK” feels important. It is not where deals come from.

Real prompts we have logged from client interviews and discovery calls:

• “Who should I use for Microsoft 365 support if I’m a 150-person law firm in London”
• “We’ve outgrown our current MSP, who handles co-managed IT well”
• “Looking for cyber essentials plus help, ideally based in the North West”
• “Best providers for Azure migration for regulated firms”
• “Alternatives to for hybrid working setups”

Notice the shape. They are specific. They name a vertical, a size, a region or a workload. These are the prompts where displacement is realistic, because the candidate set is small and the model is genuinely uncertain about the right answer. Our walkthrough on auditing visibility across Copilot and ChatGPT covers the methodology in full.

Build a prompt set of forty to sixty queries that match how your buyers actually talk. Run it monthly. The shape of the gap drives the rest of the work.

Sort your sector and geography signals

Once you have the prompt list, your homepage and key service pages have to reinforce the same signals the buyer used. Three on-page priorities for IT services:

Sector pages. Generic “Managed IT” pages do not get cited for “law firm IT support”. You need pages that name the sector, name the regulators, name the typical estate. Our piece on designing sector landing pages walks through the structure.

Location pages, but done properly. Thin location pages that swap the city name across a template are recognised as low quality by both classic SEO and AI retrieval. A real location page describes the regional team, names the sector mix in that region and references local accreditations or partnerships. Worth reading our take on SEO for MSPs in London for the wider geo strategy.

Quotable claims, with attribution. “We’ve supported regulated firms for 18 years” is quotable. “We deliver outstanding IT support” is not, and never gets cited. Strip the marketing prose and put the specifics near the top.

Schema also matters more for IT services than people realise. LocalBusiness, Organisation, ProfessionalService and FAQPage schema all feed retrieval. If schema is unfamiliar territory, structured data for AI search covers the patterns.

Get into the third-party sources LLMs trust

For IT services in the UK, the citation landscape includes:

The work is unglamorous. Claim profiles, refresh case study content, get listed on partner directories and ensure your tier badges are accurate. We have seen citation share shift noticeably in eight to twelve weeks for clients who do this systematically. Our piece on why Reddit is now critical to AI search citations covers the community side.

We are also bullish on getting on the trade press roundups, even when the editorial process feels slow. A “top 30 MSPs serving the legal sector” piece in a UK trade title gets cited for years afterwards.

Build the comparison content competitors are using against you

If a buyer asks “How does compare to ”, the page that answers it owns the conversation. In our experience, IT services firms are reluctant to publish comparison pages because it feels confrontational. We get it. We also see, repeatedly, that the firms who do publish them get cited more often, even when the comparison is generous.

The format we use for clients includes a clear positioning statement, a side-by-side feature comparison, the kind of customer each firm tends to fit best and a closing recommendation that is honest. Our piece on optimising for compare X to Y prompts goes deeper on the structure.

Reviews on the right platforms

For SaaS, that means G2 and Capterra. For IT services, it is Clutch and Google. We are increasingly seeing trade press publications cite Clutch profiles directly, which then flows into LLM retrieval. Two suggestions:

Set a target for review velocity, not total volume. Five new reviews per quarter on Clutch reads as an active business. Forty reviews from 2021 with nothing since does not.

Ask for reviews that cover the things buyers ask about. Response time, account management, technical depth, sector experience. These are what a model picks up when summarising. If every review just says “great service”, the summary is worthless.

What we are watching but do not yet have clean data on

Three areas we are honest with clients about:

Microsoft Copilot inside Microsoft 365. This is the surface most IT decision-makers will use most often, but it is closed enough that auditing is hard. We sample manually but we do not yet have a reliable longitudinal view.

The role of LinkedIn content. LinkedIn does not get cited directly in most surfaces, but the people who write about you on LinkedIn often end up cited indirectly via syndicated posts and shares. The mechanism is unclear and we are watching it.

Voice and Copilot ambient queries. Buyers asking “Who’s a good MSP for us” out loud in their car, then following up later, is a real behaviour now. We do not have a clean picture of how that works back from a citation.

Putting it together as a programme

For a typical IT services firm, an AI search programme over six months looks like:

Month 1, prompt audit, citation mapping, baseline visibility scoring across at least four LLM surfaces.

Month 2, on-site fixes, sector pages, schema, comparison content rolled out.

Months 3 and 4, third-party push, directory profiles refreshed, Clutch review programme running, Reddit presence established.

Months 5 and 6, comparison content scaled, content gap closure, monthly audit cadence locked in.

We deliberately keep this slow. Pushing all of it in month one usually means something gets done badly. The signals we are working with reward consistency over volume.

If you’d like a second opinion on your AI search strategy as an IT services firm, drop us a line. You can also see how we structure this work on our AI SEO services page, or our SEO services for the wider foundation.