Faindo: see where AI buying conversations hand deals to competitors

Why we built Faindo

Buyers no longer only ask a vendor rep for a point of view. They ask AI models for shortlists, tradeoffs, and who to trust.

When a model points to a competitor and omits you, that is not a "visibility" problem — it is a stolen lead: you were not in the room when the deal was decided.

Faindo is B2B lead interception and revenue protection: we run buyer-aligned prompts across the models you care about, then surface the moments where competitors are winning narrative share in buying queries and cited sources that shape decisions.

What you get on day one

• Mentions with rank context for your brand and competitors, so you can see who models elevate (and with what sentiment) when buyers are ready to buy
• Citations to URLs that models lean on, so you know which narratives are being reinforced
• A workflow designed for pipeline urgency: fewer dashboards, more "fix this before the next call"

A note on how we talk about the problem

We will never confuse Faindo with a generic marketing visibility tool. This is not about vanity placement — it is about revenue at risk when your brand is not recommended in a purchase-intent moment.

What is next

We are working with design partners to sharpen interventions: specific, URL-targeted updates to the narratives and proof points models cite when your buyers ask the hard questions.

If you are responsible for growth, product marketing, or revenue, and you are tired of flying blind in AI-native buying, we would love to talk.