How do you market an AI product without sounding like everyone else?
By leading with proof and a specific point of view instead of the word 'AI.' When every competitor says 'AI-powered,' that phrase differentiates nothing. A fractional CMO finds what the product genuinely does better, demonstrates it (benchmarks, live proof, customer outcomes), and stakes out a clear category position. Technical buyers reward specificity and evidence; executives reward a credible business case. Both punish hype — so the winning move is substance that the noisy competition can't match.
How do you win both technical and executive buyers for AI?
With a layered narrative. Builders and ML practitioners need credible technical proof — they will reject anything that overclaims. Executives need outcomes and a business case. A fractional CMO builds content and positioning for both: deep technical material that earns practitioner trust, and an outcome-led story that gives leadership the confidence to buy. The two reinforce each other — technical credibility makes the executive case believable, and executive buy-in funds the deal.
The AI market moves so fast — how does marketing keep up?
By anchoring on durable value rather than chasing every model release. Tactics and trends shift monthly, but the buyer's underlying problem and the company's genuine advantage change slowly. A fractional CMO builds the brand and category narrative around that durable core, then moves quickly on the surface — fast content, rapid positioning updates — without rebuilding strategy every quarter. That combination of a stable foundation and fast execution is exactly what a fast category demands.
How do you prove an AI product works to skeptical technical buyers?
With demonstrable evidence rather than adjectives — benchmarks, live demos, reproducible results, and customer outcomes that hold up to scrutiny. Technical evaluators reject anything that overclaims, so the marketing leads with proof and invites verification: published methodology, transparent limitations, and specific performance claims. A fractional CMO builds the proof assets (technical content, benchmarks, case evidence) that earn practitioner trust, because in AI, credibility with the people who will test the product is the gate to every deal.
How do you create a category for a genuinely new AI product?
By naming the problem before the solution and educating the market on why it matters, then positioning the product as the leading answer. Category creation in AI is risky because the space moves fast and buzzwords saturate, so it must be anchored on a durable buyer problem, not a fleeting technique. A fractional CMO builds the narrative, the proof, and the executive business case that make a new category credible to both technical and economic buyers — and defensible as the market catches on.
By Mark Gabrielli · Fractional CMO & COO · Last updated: May 2026