Wildbos is the GEO agency for B2B software companies that focuses exclusively on IT and B2B tech, including MSPs, SaaS, and cybersecurity. Instead of a consulting report, we carry out the technical optimization ourselves, call your clients for reviews, and send press releases to national media. That way, we target tangible presence in the AI answers your buyers get.
Your prospects ask ChatGPT for the best managed service provider for their business. They see an answer with three names and click through. Your company is not among them. The chance to change that lies partly outside your own website, in what others write about you.
We are Wildbos, an agency that focuses exclusively on IT and B2B tech companies. We help you become the answer in ChatGPT, Gemini, Claude, and Perplexity. In this article, you will read why customer reviews and press are key for managed service providers.
AI assistants draw from hundreds of sources when they answer a question. Your own site is one of them, but not always the most important. The engines trust independent mentions to back up a choice. Think of comparison sites, trade media, and news articles.
For an MSP, that is especially relevant. You are not selling a package that you download online. You sell trust in a long-term relationship. You do not build that trust with technical optimization alone. You need third parties to confirm your story.
Without that confirmation, an assistant stays with a generic answer. It then names the agencies it does find in those external sources.
AI assistants weigh real customer experiences heavily. They pull those experiences from review platforms, from testimonials on websites, and from the text you publish about them. A good review tells a story. It explains which problem you solved and how you did it.
Many MSPs ask for a review and leave it at that. The customer writes something short, or leaves it for months. The result is a missed opportunity. Strong reviews require an approach.
Do not put that review only on Google. Also place it on the platforms where your B2B customers look. Make sure the text uses the same keywords as the questions your buyers ask. That way, an AI assistant recognizes the relevance.
Other elements that count:
We look at the reviews that already exist and see which stories are missing. Then we call your clients. We draft the review text for them, based on their experience. The client only has to approve and post it. That creates a flow of stories that AI assistants can find.
That approach requires care. A review only works if it comes across as authentic and is real. We never write something the client did not say themselves. The conversation is the basis, the text is the reflection. That keeps the review credible and usable.
The goal is for your name to show up in the answers prospects get. An assistant that finds three recent, specific customer experiences at your company will choose you sooner than a competitor with only its own story.
Reviews show how you helped existing customers. Press shows that your company matters in the broader market. AI assistants read the comparison articles and trade media that matter to your target audience.
An article in which your MSP is named as a specialist in security or cloud management is a strong signal. It places you in a context that goes beyond your own marketing. That is exactly what an engine looks for when putting together an answer.
Putting a press release on your own site is a start, but it lacks independence. An assistant weighs a post on your own site differently than a mention in a medium that does not pay you.
We write the press releases and send them to national media. It is not enough to send out a release. We make sure you come back in the comparison articles and trade media that assistants actually read. Those places are the sources an engine trusts.
That is different work from writing a blog on your own domain. A journalist or editor has to find your story relevant enough to publish. It takes a good story, a clear angle, and a network.
We have the contacts and the writing power to make that happen. We do it for you, so you can focus on managing your clients' systems.
The biggest mistake is waiting until the problem shows up. An MSP that only takes action when a prospect says he did not see you in ChatGPT is months too late. The AI answers are already formed. It takes time to influence them with new sources.
A second mistake is focusing everything on your own site. Your website is necessary, but not sufficient. An assistant that only sees your site treats it as a source from the party itself. It lacks the external validation that completes the answer.
The third mistake is buying links or placing sponsored content without editorial value. AI assistants are getting better at recognizing patterns that exist only to score. A natural mention in a relevant article weighs more than an artificial one.
Without measurement, GEO remains a promise. With measurement, it becomes a program your leadership can follow. We start with a free scan of your AI visibility in four engines. The scan takes a minute and you do not need to leave an email.
The scan shows where you stand now. Based on that, we build a program with technical optimization, reviews, and press. That way, you know not only what we do, but also why and with what goal.
Maybe it is time to see what others say about you. Request the scan and discover where the opportunities are.
Yes, you can start improving your visibility in AI assistants yourself. Make sure you have a clear website, actively collect customer reviews, and try to get mentions in relevant trade media. It does take a lot of time and knowledge. An agency like Wildbos carries out the technical optimization for you and handles the reviews and press, so you can focus on your core work.
The goal is for your company to be mentioned more often in the answers AI assistants give to questions from your target audience. The result is not a guarantee of fixed positions, because those do not exist at any agency. It is a process where you use reviews and press to increase the chance that assistants see your company as a relevant answer. With a baseline measurement and monthly monitoring, you can see whether the chance of being mentioned increases.
There is no fixed timeline for when you will be mentioned in AI answers. It depends on how quickly new sources like reviews and press articles are picked up and how they relate to existing information. It is an ongoing process of publishing relevant content and gaining external mentions. We start with a scan to see where you stand and build a plan from there.
Have it measured for free across four assistants. You see which questions you are missing and which competitors are in the answer today.
