How does my company become visible in AI answers?

AI systems recommend what the web says about a company — not what the company says about itself. Anyone who wants to appear in answers from ChatGPT, Perplexity and Google therefore needs three things: a machine-readable own website, content that answers concrete customer questions, and mentions in third-party sources. The company's own website is the evidence, not the trigger.

The figures show why this matters right now: AI answer engines are, according to Forrester, now the most important research source in B2B purchasing, ahead of vendor websites. B2B companies report 10 to 40 per cent traffic declines as research migrates to AI engines. And 95 per cent of deals, according to 6sense, go to a provider who was on the shortlist on day one. That shortlist increasingly forms in AI conversations — before you've ever heard from the customer.

The three building blocks in detail:

Machine-readability is the foundation. An AI visiting your website must find text in the source code — not just design that only renders in the browser. This includes structured data that identifies person, service and contact in a machine-readable way. It's craftsmanship, not sorcery, and it's the entry ticket.

Answer content is the second building block. AI systems cite pages that answer questions — not pages that list services. A page headed 'Our Competencies' is never cited. A page that substantively answers the question 'Why do AI projects in sales fail?' has a chance of appearing exactly when your target customer asks that question.

Third-party mentions are the third and most important building block. AIs weight independent sources more heavily than self-description — trade articles, podcast appearances, directories, interviews. The mechanism is the same as a recommendation among people: whoever is repeatedly mentioned positively by others gets recommended. Consistency counts double here, because AIs cross-reference sources. Anyone positioned differently on LinkedIn than on their website and speaker profile loses trust with systems that detect contradictions.

A realistic time horizon is part of this: systems with live web search react to improvements within weeks. Getting into the training data of the large models takes years of consistent presence. Visibility in AI answers is something you build, not a switch you flip.