A growing number of AI startups are selling the same equity at two different prices inside a single funding round. The tactic lets a hot company claim a headline unicorn valuation even though a large slice of its equity was bought far cheaper — and it has investors openly debating whether this is clever deal structuring or a symptom of a bubble.
The story is really about the gap between a headline number and the reality underneath it. That gap should feel familiar to anyone marketing in the AI era, where it's just as easy to celebrate a flattering metric that doesn't reflect what's actually happening.
Key takeaways
- Some AI startups now sell the same equity at two prices in one round: a lead VC buys most of it cheaply, a smaller slice sets a higher headline, and the company announces the higher number. - Aaru, a synthetic-customer research startup, took a Redpoint-led round with the majority at a $450M valuation and a smaller portion at $1B, then announced unicorn status. - Serval, an AI IT help desk startup, had Sequoia enter at a $400M low but announced a $75M Series B at a $1B headline valuation. - Investors are split: some call it competitive deal-making, others call it bubble behavior — "you can't sell the same product at two prices," said FPV's Wesley Chan. - For brands the parallel is sharp: a headline number that flatters you isn't the same as the blended reality, and the same trap exists in how you measure AI visibility.
How the two-price trick works
Traditionally, startups raised successive rounds at escalating valuations. But constant fundraising pulls founders away from building, so lead VCs engineered a structure that folds two cycles into one. The lead invests a large portion at a lower valuation — say $450 million — then a smaller portion at a higher one, say $1 billion. Other VCs come in at the $1 billion mark, and the startup announces the $1 billion unicorn headline, even though the blended valuation is meaningfully lower.
Two real examples make it concrete. Aaru, which builds synthetic-customer research, raised a Redpoint-led round: the lead put the majority in at a $450 million valuation and a smaller amount at $1 billion, other VCs joined at $1 billion, and the company announced it had reached unicorn status. Serval, an AI-powered IT help desk, had Sequoia enter at a $400 million floor but announced a $75 million Series B at a $1 billion headline valuation.
Why VCs play it, and why others cry bubble
Jason Shuman, a general partner at Primary Ventures, frames it as a sign of how fiercely competitive deal-chasing has become. A giant headline number also scares off rival VCs who might otherwise back a competitor, and it wraps the startup in the aura of a market winner even when the lead's average price was far lower.
Not everyone is comfortable. Wesley Chan, co-founder and managing partner at FPV Ventures, reads the structure as a symptom of bubble behavior. You can't sell the same product at two different prices, he said — only airlines can. The disagreement is the point: when the headline and the blended reality diverge this far, reasonable people start asking what the number really means.
What this means for GEO
The unicorn trick is a reminder that a number chosen to impress is not the same as a number that tells the truth. Marketers face the identical temptation with AI visibility.
It's easy to point to a single glowing AI answer, a cherry-picked prompt where your brand ranks first, or a share-of-voice figure measured only against the competitors you chose to include. Each can be technically true and still function like a headline valuation — a flattering top-line that hides a weaker blended reality across the prompts, engines, and markets where buyers actually ask.
The correction is to insist on the blended picture. That's the layer [GEOly](/blog/what-is-geoly-ai) is built for. Rather than a single vanity snapshot, GEOly maps how your whole category shows up across ChatGPT, Gemini, Perplexity, and Google AI — brand rankings, product cards and pricing, citation sources, and brand perception — as a queryable industry database, with metrics like AI visibility and Share of Model measured on a consistent, prompt-weighted basis so you can't accidentally flatter yourself. For how these metrics differ from older SEO KPIs, see [the difference between GEO and SEO](/blog/difference-between-geo-and-seo).
What to do now
Distrust any single AI-visibility number that arrives without its denominator. Measure across many prompts, not one; across the engines your buyers actually use, not your favorite; and against your true competitive set, not a hand-picked one. Track the blended trend over time, because a consistent, honest baseline is worth more than a headline you can't defend.
FAQ
Is dual-tier valuation illegal? No. It's a deal structure, not fraud. The debate is whether the announced headline valuation is misleading relative to the blended price the lead investor actually paid.
Which startups used it? Reported examples include Aaru, with a Redpoint-led round blending $450M and $1B, and Serval, where Sequoia entered at a $400M floor while the company announced a $1B headline.
What's the marketing lesson? A flattering top-line metric can hide a weaker reality. In AI visibility, insist on blended, multi-prompt, multi-engine measurement instead of a cherry-picked win.
A number built to impress and a number built to inform are not the same thing — in venture rounds or in AI visibility. Want the blended truth about how your brand shows up in AI? [GEOly](/about-us) offers a free 3-day trial. More industry reads from [GEOly AI](/blog/author/geoly-ai).
