The VP Doesn’t Care About Your Inference Speed

You've built a technical edge. Faster inference, fine-tuned model weights, proprietary training data that took two years to assemble. And the buying committee can't see any of it.

Not because you're hiding it. They just can't evaluate it - and increasingly, they're not even reading your explanation of it.

In the second episode of our Awareness Wins video series, we look at why the shortlist problem hits AI companies hardest - the crowded market, buyers using LLMs to compare vendors, and why user adoption is not enough to drive enterprise demand:

What You See vs. What the Buyer Sees

Inside your company, the differences between you and your competitors are obvious. Your retrieval approach is better. Nobody can replicate your training data quickly. You have better guardrails and fewer edge cases.

From the buyer's side? There are more than 67,000 generative AI companies making similar claims in similar language. The buying committee is large, mostly non-technical, and working through a shortlist of vendors that all sound the same. Gartner found 53% of buyers cite vendor reputation as a key factor in making the initial cut. Reputation, not benchmark scores.

Your champion might understand your edge. But your champion isn't the only vote. Your message has to survive the retelling - the CFO asking "so why these guys?", or the VP explaining the choice to their boss in the hallway. Each retelling strips out more of the technical nuance. Unfortunately, "fine-tuned on proprietary data" does not survive contact with a procurement summary.

LLMs Flatten Nuance

It gets worse. 94% of B2B buyers now use LLMs during their purchase journey, and usage peaks in the middle - right when they're comparing options. A buyer asks ChatGPT to compare five vendors in a table, and the model summarizes whatever is publicly written about each.

What does a language model do with subtle technical differentiation? It compresses it. Your advantage becomes a row in a comparison table that reads much like everyone else's. The demo and the sales deck aren’t on the open web for the LLMs to digest - so those details are lost to the LLMs.

The public record is now your pitch, delivered by a machine, without you in the room. If that record is vague, that's what the buyer gets.

Translate Capability into Consequence

Buyers don't buy inference speed (or any technical feature). They buy what it causes: an answer before the customer stops typing, or a compute bill that's 30% lower. Every technical differentiator has a business consequence, and the consequence is the part a non-technical committee member can understand.

A useful test: could someone on the buying committee explain why you're different to their boss in one sentence and get it right? Framing outcomes can feel imprecise, but precision nobody can repeat doesn’t win deals.

Codify It Before the Market Does It for You

Take the time to codify your messaging. A messaging house - description, value proposition, differentiators, proof points, boilerplate - forces the company to agree on what the differentiation actually is and how to say it. It’s amazing how many tech firms - even late-stage and public companies don’t have this locked.

Then repeat it. Everywhere. The same framing in your press releases, bylines, analyst briefings, review site profiles, and website. Humans need multiple consistent touchpoints before anything sticks. LLMs need it even more. They learn through pattern recognition, so when the models repeatedly see your name attached to the same specific problem and outcome across trusted sources, they start describing you accurately - and recommending you. A company that reinvents its positioning every quarter is unlikely to show up consistently or correctly.

Run the ChatGPT Test

Here's a free positioning audit your buyers are already running. Open ChatGPT, Claude, Gemini, and Perplexity. Ask each one what your company does. Ask how you compare with your two closest competitors. Try it with web search on and off.

If the answers are accurate and specific, your public record is working. If they're wrong, vague, or describe you in exactly the same words as your competitors, you've just seen your messaging gap the way buyers see it. Don't blame the model. The content it draws on doesn't say anything distinct about you.

Closing that gap is the same work as building awareness: get your position stated in the outlets the models cite, and have your executives say something specific in public. We'll go deeper on each of those channels later in this series.

Survive the Retelling

Your technical advantage has a shelf life - in this market, probably months. A clear, repeatable position compounds. Codify your messaging, then say it consistently enough that both the buying committee and the machines advising them can play it back correctly.

The companies that win the shortlist won't necessarily be the ones with the best architecture. They'll be the ones whose difference survives the retelling. Make sure that's you.