Twelve questions founders ask us — and investors ask about you — answered without fluff, each one quotable on its own.
What do investors see when they ask AI about a startup?
Whatever public evidence exists: the website, funding coverage, founder profiles, directory entries — synthesised into a confident paragraph or a hedged shrug. Thin evidence produces a generic answer; contradictory evidence produces doubt. Neither is neutral in a screening process where analysts run these lookups before every first call.
Does AI visibility matter before a funding round?
Diligence begins with lookups, so the record needs to exist before the round, not during it. A consistent, corroborated story — company, founder, category — compounds through every associate's screen and partner's check. Fixing contradictions mid-raise looks reactive; a record that was already right reads as competence.
How can a startup appear in "top startups in [category]" answers?
Claim the category language publicly and get corroborated in it. That means describing the company in the category's words, earning independent coverage that uses them too, and staying current — recency matters for fast-moving spaces. Being documented as part of the category is the precondition for being named within it.
Why does ChatGPT describe my startup wrongly, or not at all?
Usually contradiction or absence. An old pivot page still describes the previous product; the deck, site and LinkedIn disagree; no independent source confirms any version. AI systems hedge when sources conflict and go generic when sources are thin. The fix is one approved story, corrected sources and independent corroboration.
Should the founder or the company build a public record first?
Together, deliberately linked. Early-stage diligence treats the founder as the company: your background corroborates its credibility, and its progress corroborates yours. Separate, inconsistent stories waste each other. ProminAI defines both entities in one Brand Truth File; the Authority and Leadership plans are built to carry both.
What is a Brand Truth File and why does a startup need one?
One approved document stating what the company does, for whom, in which category, and why it is different — plus the founder's verifiable background. Every article, profile and mention then uses it word-for-word. For startups it ends description drift, the quiet contradiction accumulation that makes AI systems hedge.
Do journalists use AI to research startups?
Routinely — for background, context and "who else is in this space" before writing. A startup with independent coverage, consistent facts and a checkable founder record is easy to include and safe to quote. One with only its own website is a fact-checking risk on a deadline, so it gets skipped.
Do candidates check startups with AI before joining?
Senior candidates do, at offer stage — the moment the decision is real. They ask what the company does, whether it is credible, who the founders are. An accurate, current record answers quietly in your favour; a thin or contradictory one sends them back to the safer offer.
How much should an early-stage startup spend on visibility?
Honestly: start small and test. The ₹3,499 + GST Starter buys one published article and shows you the quality. Momentum at ₹39,999 + GST across three months builds the record properly — articles, mentions, monitoring. Weigh it against one enterprise deal, one senior hire, or one diligence process that goes smoothly.
Can AI visibility bring customers directly, or only credibility?
Both, but through different doors. Category questions — "tools for X in India" — surface documented companies to buyers with intent. Trust questions — "is this startup legitimate?" — convert interest that already exists. Neither replaces performance marketing; this is the credibility layer that decides whether the click becomes a customer.
What happens to the record if we pivot?
It updates — which is precisely the point of having one. The Brand Truth File is revised, corrections propagate to every profile and listing, and new coverage describes the new direction. The alternative is the old story lingering publicly, contradicting the new one in front of every investor who checks.
How fast can a new startup build a presence AI can read?
Faster than an established brand can repair a wrong one — you start clean, with no legacy contradictions. First corroborated evidence lands within weeks; a coherent descriptive answer typically forms over two to three months. Competitive category queries take longer. Every step is logged with a live link.