In 2024, if you wanted to know the best CRM for a SaaS startup, you Googled it. In 2026, many buyers go straight to ChatGPT, Perplexity, or Claude. The shift is not gradual — it is structural, and it is already reshaping how B2B brands get discovered.
The problem is that most marketing teams have no way to measure it. SEO tools tell you your Google rankings. Analytics tools tell you traffic. But neither tells you whether ChatGPT recommended your competitor over you for 'best email marketing platform' — or whether Claude knows your brand exists at all.
Why existing tools miss this
The problem is not that marketers are not paying attention. The problem is that their tools were built for a different era. AI search operates on entirely different mechanics than Google. Where Google ranks pages based on crawlability, backlinks, and keyword density, AI engines retrieve information from training data and external sources, then synthesise answers.
The sources they trust — Reddit, G2 reviews, comparison listicles, Wikipedia — are not the sources traditional SEO optimises for. A brand can rank on page one of Google and still be invisible to ChatGPT.
What changes when buyers use AI
When a buyer asks an AI engine 'what is the best tool for X?', they get a synthesised answer — not ten blue links. The brands that appear in that answer win the consideration set. The brands that do not appear are effectively absent from the conversation.
This matters especially for mid-funnel queries: 'best CRM for a 20-person SaaS startup', 'HubSpot alternatives with better reporting', 'tools that integrate with Slack and Notion'. These are the kinds of questions buyers ask AI assistants, and the answers shape their shortlists before they ever visit a vendor website.
What to do about it
The starting point is measurement. You cannot optimise what you do not track. That means running your brand name and category prompts across the AI engines your buyers actually use — ChatGPT, Claude, Gemini, Perplexity, and Grok — and recording what comes back.
From there, GEO follows a familiar logic: understand which sources AI trusts, build genuine presence on those sources, and monitor your competitive position over time. The playbook is learnable. The brands that start now have a head start.
- Track your brand across all major AI engines, not just one
- Audit which sources AI cites for your category
- Create content AI can parse and reference: comparison guides, structured data, community presence
- Monitor competitors to see where they lead and where you can close the gap
- Watch for hallucinations — AI engines sometimes invent product details that are wrong
GEO is not replacing SEO. It is the necessary complement. You need to rank on Google AND be recommended by AI. The brands that figure out both will be the hardest to displace in their categories.