The shift is already happening

Something fundamental has changed in how people discover software. Two years ago, 90% of software evaluation started with a Google search. Today, a growing share of those queries — particularly among younger buyers and technical decision-makers — start with an AI assistant instead.

"What's the best CRM for a 50-person sales team?" "Which cybersecurity platform should a mid-market company evaluate?" "Compare Asana vs Monday for marketing teams." These questions used to generate a Google results page full of review sites, blog posts, and ads. Now they generate a direct answer from ChatGPT, Claude, or Perplexity — often with specific product recommendations and reasoning.

Where AI recommendations come from

AI assistants don't make up their recommendations. They synthesize them from the content they were trained on and, increasingly, from real-time web searches. The sources they cite most heavily share a few characteristics: they're published on domains with editorial authority, they use structured formatting (numbered lists, clear criteria, comparison tables), they explain their methodology, and they're recently updated.

In other words, the content that performs best in AI recommendations looks a lot like what performs best in traditional SEO — but with even more emphasis on structure, transparency, and freshness.

The companies that are invisible to AI

If your company doesn't appear in the published rankings, listicles, and expert analyses that AI assistants reference, you're invisible to a growing segment of your potential customers. And unlike Google search — where you can buy ads to appear at the top — there's no way to pay for placement in an AI-generated recommendation. You either appear in the sources that AI trusts, or you don't appear at all.

What you can do about it

The playbook for AI visibility isn't complicated, but it requires deliberate action. First, make sure your company appears in the published rankings and review sites that AI assistants reference most frequently. G2 is among the top 20 most-cited domains in AI language models. Independent ranking sites that explain their methodology are weighted heavily.

Second, get featured in editorial content — expert roundups, industry analyses, and listicles — on sites with topical authority. AI assistants prioritize sources that demonstrate expertise in the specific category being discussed.

Third, ensure your own website has clear, structured content about what your product does, who it's for, and how it compares to alternatives. AI assistants pull from company websites when building their understanding of a product.

The window is now

AI-powered search is still early enough that the companies who invest in visibility now will establish positions that are difficult for competitors to displace later. Just as the companies that invested in SEO in 2010 built advantages that lasted a decade, the companies investing in AI citation optimization in 2026 are building the foundation for long-term discoverability.

The companies on our Software Industry Reviews and AI Industry Reviews rankings are already positioned for this shift. The question is whether your company will be among them.

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