AI algorithms don't care about your revenue. They care about the precision of your answers. And that's exactly where SMEs can win.
Last month, we ran a test. We asked Perplexity: "What's the best natural anti-wrinkle treatment in Belgium?" The response didn't cite L'Oreal, Vichy, or any multinational. It cited a natural cosmetics lab based in Namur. Twelve employees. Zero digital advertising budget.
This isn't an accident.
AI answer engines -- Perplexity, ChatGPT Search, Google AI Overviews -- operate on a radically different logic than classic Google. They don't rank sites by popularity. They look for the best possible answer to a specific question. And on specific questions, SMEs are often better than big brands.
Open any major B2B brand's website. You'll find "solutions" pages talking about "transforming your business" and "accelerating your growth." Corporate jargon diluted in marketing templates validated by three management levels.
LLMs hate this. They can't extract anything concrete from it. When a user asks "How to reduce delivery times in the food industry in Wallonia?", a page about "supply chain optimization solutions" doesn't answer the question. A specialized SME that wrote a detailed article on the topic, with real numbers and a client case study, does.
According to an Averi.ai study published early 2026, the content most cited by LLMs shares three characteristics: it answers a specific question, it contains proprietary data, and it's signed by an identifiable author. Three criteria where SMEs naturally excel.
You know your clients by first name. You know exactly what problems they face, because you solve them every day. This proximity translates into ultra-specific content -- the type of content LLMs love to cite.
An accounting firm in Liege writing "How to declare VAT for a Belgian ASBL: the case of European grants" has more chance of being cited by ChatGPT than a Big Four publishing a 40-page white paper on "Tax optimization in the EU."
Specificity beats notoriety. That's rule number one of AI visibility, and it's a rule that structurally favors small companies.
Add agility to that. When Google announces a change in its AI Overviews, an SME can adapt its site in a week. A multinational takes three months to approve a brief to modify a product page. We see this daily with our clients: those who move fast capture citations first.
The strategy comes down to four actions, none requiring a six-figure budget.
First action: list the 20 questions your clients ask you most often. Not the questions you'd like them to ask. The real ones, the ones you hear on the phone or in meetings. Each of these questions is a potential article that LLMs can cite.
Second action: write complete answers with your own data. Not generic answers. If you're an architecture firm and someone asks how much a passive renovation costs in Brussels, give a range based on your actual projects. LLMs cite sources that provide data you can't find elsewhere.
Third action: sign your content. Put an author with a verifiable LinkedIn profile, a structured Author schema, and a credible bio. E-E-A-T isn't an abstract concept anymore -- LLMs actually check the consistency between the stated author and their online history.
Fourth action: be present on Reddit and specialized forums in your sector. Perplexity cites Reddit in 46.7% of its responses. If you share your expertise in your niche communities, you multiply your chances of being picked up. We detail this strategy in our article on Reddit as an AI visibility weapon.
We're not going to tell you that size never matters. Big brands have a real advantage on one point: the volume of backlinks and brand mentions accumulated over decades. ChatGPT, which relies more on encyclopedic content, still favors established players.
But this advantage is eroding. AI search platforms are multiplying, and each has its own citation criteria. Perplexity values freshness and specificity. Google AI Overviews draws from organic results. Autonomous AI agents, arriving in force, look for structured data and direct answers.
The ecosystem is fragmenting, and in a fragmented ecosystem, agility is worth more than mass.
SMEs that understand AI visibility today are in the position of SMEs that understood SEO in 2010. Those that moved early built an advantage that big brands never caught up with. History is repeating, but the window is shorter. Within 18 months, everyone will have caught on. Move now.
We've been supporting Belgian SMEs through this transition from the beginning. Get in touch if you want to know where you stand.
Co-fondateur et COO d'AISOS. Spécialiste technique SEO et visibilité IA, il développe les outils et méthodologies d'optimisation pour les moteurs de réponse.