How can IT support companies get recommended in AI search?

Explain who your IT support suits, exactly what it covers and how a customer moves to you, on your own website and on the review sites and directories AI reads. Then check the specific buying situations you sell, not just “IT support”. In our research, asking for IT and phones together, instead of IT support alone, changed most of ChatGPT’s shortlist.

Avouch’s free scan shows which companies AI recommends in your market.

This guide is for IT support companies and managed service providers. See also our guides for tech companies and cyber security companies.

What our research shows for IT support

• The buying situation changes the shortlist. When the question asked for IT and phones together instead of general IT support, ChatGPT kept only 14% of its first shortlist. Claude kept 33% and Gemini 44%. See how AI shortlists differ between buying briefs.
• Your own website supports a recommendation, but rarely alone. One IT support firm’s website appeared beside 17 of the 21 answers that recommended it, and was never the only source. See the websites behind repeated AI recommendations.

1. Collect your buyers’ own words

The people who buy IT support are usually business owners, office and operations managers, finance directors and in-house IT leads. Start with what they say, in their own words, before you open a keyword tool.

Start with what you already hold: sales calls, support tickets, lost-deal notes, and why new customers left their previous provider. Then look at public sources. Choose them carefully, because some are full of buyers and others are full of people who do the work.

In our voice harvest for a data protection and cyber security market, we checked who was really speaking:

• Review sites were almost all buyers. Reviews are written by customers, so they show what buyers valued and what went wrong after they chose.
• Spiceworks was mostly buyers. Its members are often the IT managers who choose and manage providers.
• Reddit and YouTube were mostly not buyers. Only one in five Reddit posts came from a buyer. Most came from people who do or sell the work. Use these sources for buyers’ questions only after you check who is speaking.

For each buyer comment, record the problem that started the search, the job to be done, their situation and limits, what they fear could go wrong, and their exact words with the source and date. Do not publish private ticket details, customer names or access information.

2. List the buying situations you sell

Write down each situation in which a buyer would choose you, for example:

• ongoing support for a small business with no IT staff;
• co-managed support alongside an in-house IT team;
• switching from another provider;
• IT and phones, or IT and cyber security, from one supplier;
• onsite support in the towns you genuinely serve.

Each situation can bring a different AI shortlist, so check them separately. Give a situation its own page or section when the answer is different. Do not repeat the same copy under different town names.

3. Explain the service in facts

Buyers and AI tools both need facts, not slogans. Fill this worksheet from your actual agreement:

Back the claims with evidence: an anonymised handover example, a sample responsibility table, or a customer account published with permission. Do not promise a response time your agreement does not support.

4. Find out what else AI searches for

For a question about switching provider, AI tools may also search for handover steps, support coverage, costs and who is responsible for what. This is query fan-out. Our guides show how to see these searches in Google and ChatGPT. Keep the searches you actually see separate from your own ideas.

5. Check the other websites AI relies on

Choose the buyer questions to track, ask them in each AI tool, and open the pages each answer cites. For IT support these are often:

• Review sites and directories such as Clutch, Trustpilot and G2;
• your Google Business Profile, for local searches (see Google Business Profile in AI Mode);
• comparison sites and best-of lists (see comparison sites).

Make sure your profiles there are complete, current and match your own website. Our guide to why AI recommends your competitors shows how to find the gaps.

6. Make sure AI can read your pages, and measure

Ask whoever runs your website to check that your service pages are indexed, that robots.txt and your firewall let search and AI crawlers in (see AI crawlers), and that the important facts are in the page text, not behind a login. Add a short AI information page.

Then track each buying situation separately every week: how often AI names you, recommends you and cites your pages. Ask new customers how they found you. Our guides to AI visibility metrics and measuring the return explain how.

How Avouch can help

We start from your buyers’ words and the situations you want to win, then agree the work that fits: clear service pages, content that answers buying questions, complete reviews and industry profiles and PR and industry coverage. Where it is part of an agreed engagement, we track your Recommendation Rate™ each week, with scope and price agreed before we start.

Want to know where you stand?

Start with the free scan. For a fuller review and a written plan, choose the paid Recommendation Index™ assessment.