Hey Product Hunt 👋 I’m Kai, the maker of Evidlume. I built Evidlume because traditional analytics can show who visits a website, but they cannot show what happens when a potential buyer asks an AI assistant which product to choose. A B2B SaaS may be mentioned without actually being recommended—or quietly replaced by a competitor. The first version of the workflow was too technical. It expected users to configure brand profiles, buyer personas, competitors, and prompts before seeing any value. I simplified it around a website-first flow: enter a product URL, confirm the target buyer, review the generated buyer questions, and choose the AI sources to audit. Evidlume then keeps the original answers and citations, separates mentions from recommendations, measures ranking and competitor replacement risk, and turns the evidence into prioritized actions. I’d especially value feedback from B2B SaaS founders, marketers, and agencies: which result would be most useful to you—recommendation rate, competitor risk, citations, or the original AI answers? Thanks for taking a look, Kai

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2d ago

What matters more: being mentioned by AI, or being recommended?

While building Evidlume, I noticed that AI visibility is often treated as a simple yes-or-no result: did the model mention the brand?

But a mention is not always a recommendation. An AI answer might mention a product only to rank it below competitors, describe it as an alternative, or replace it entirely when the buyer asks which tool to choose.

That led me to separate four things in the audit:

Was the brand mentioned?

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Evidlume

See when AI recommends your SaaS—or a competitor

See when AI recommends your SaaS—or a competitor

Forum Threads

What matters more: being mentioned by AI, or being recommended?

Forum Threads

What matters more: being mentioned by AI, or being recommended?