A few months ago, one of your salespeople mentions something that makes you pause for thought: a prospect told them they found you because «ChatGPT recommended you» when they asked for IT service providers in their sector. They didn't search on Google. They didn't click on any ads. They asked an AI directly, and that AI gave them a response with specific names.
If it hasn't happened to you yet, it's a matter of time. More and more business decision-makers are changing how they look for information: instead of typing a query into Google and reviewing ten blue links, they're asking ChatGPT, Perplexity, or Google's AI Overviews directly before any traditional links appear.
This is not a fad or a niche experiment. It's a structural change in how information is discovered, and for IT service companies that rely on generating qualified leads, it has very concrete implications: if your content doesn't appear cited or mentioned within those AI-generated responses, it's as if you don't exist for a growing portion of your audience.
What is AEO really and how does it differ from SEO
The Answer Engine Optimization (AEO) It is the discipline of optimising content so that AI-based answer engines—not just traditional search engines—select, cite, or summarise it when answering user questions.
The key difference with classic SEO is the ultimate objective. Traditional SEO aims for your page to appear high in a list of results, so that the user clicks. AEO aims for something different: that your brand, your data, or your argument is the source that the AI chooses to build its response, with or without a subsequent click.
According to Gartner, Search volumes on traditional search engines could fall by 25% between now and 2026 due to the rise of chatbots and conversational agents. This is not a trivial fact: if a quarter of the searches that currently drive traffic to your website disappear from the «results list» format, your content strategy needs to adapt.
How do AIs decide which answer to show
Response engines don't work like a classic ranking of positions. Instead, they synthesise information from multiple sources and prioritise content that meets certain criteria:
- Structural clarity: Content organised into direct questions and answers, with headings that anticipate search intent.
- Verifiable authority mentions, citations, and links from sources that AI already considers reliable (specialist media, studies, technical communities).
- Concrete and verifiable data Figures, cases, and claims that can be attributed to a specific source, not vague generalities.
- Consistency across the web: If your company says the same thing on your website, on LinkedIn, on technical forums, and in industry directories, AI has more signals to trust that information.
Why this matters especially in IT Services
In B2B sectors such as consulting and IT services, decision cycles are long and buyers carry out extensive research before speaking to a salesperson. If a decision-maker asks an AI «what companies offer HubSpot implementation with a focus on AI for marketing» and your company is not mentioned, you have lost that opportunity before you even knew it existed.
Search behaviour is also changing in terms of the type of question: they are becoming longer, more specific, and more conversational (e.g. «what's the difference between X and Y for my situation?») rather than just loose keywords. This favours content that answers real questions directly, not generic articles optimised solely for search volume.
How to audit your current presence in AI responses
Before changing your strategy, it's advisable to know where you are today. A practical and accessible exercise:
- Make a list of 15–20 questions that your potential customers might ask an AI about your service category.
- Ask them directly of ChatGPT, Perplexity, and Google (checking if AI Overview appears) and note whether your company is mentioned, cited, or ignored.
- Identify which sources are repeatedly cited: are they competitors, industry media, independent studies?
- Check if your current content directly answers those questions and is citable, or if it's written more for «positioning» than «answering».
This exercise, repeated each quarter, gives you an honest snapshot of your real visibility in the new search landscape.
SEO and AEO aren't enemies, they are the same discipline evolving.
It's worth clarifying something here: AEO doesn't replace SEO, nor does it require reinventing your entire content strategy. The fundamentals remain the same: useful, well-structured content with demonstrable authority and that is up-to-date. What changes is the emphasis on certain elements – question-and-answer structure, citable data, consistent presence across multiple platforms – which were already good technical SEO practices, but now carry more weight.
Nor is it necessary to rush into producing new content without a clear strategy. Many IT services companies already possess valuable assets—use cases, technical comparisons, implementation guides—that simply need to be restructured so that an AI can easily extract and cite information, rather than creating content from scratch.
An idea to take with you
If your marketing team is still measuring success solely on ranking positions and organic traffic, you're missing a crucial part of the picture. Start by auditing how AIs perceive you today when someone asks about your service category, and adjust your content to respond clearly, not just to rank. It's a change in focus, not a technological revolution you need to blindly chase.
