Who This Is For
MMM consultants, marketing science consultancies, and agency measurement teams that build and operate MMMs for client brands. If you are selling MMM services and your standard build does not include AI search as a channel, you are leaving a meaningful differentiation opportunity on the table.
Why AI Search Is the Differentiation Opportunity
As of 2026, most MMMs in production at brands do not include any AI search variable. Clients are increasingly aware that AI search is a meaningful channel and that their current measurement does not value it. Consultants who can credibly ship MMMs with AI search included are the ones answering the question clients are actually asking. The differentiation is real, the technical work is straightforward, and the strategic value to the client is significant.
How to Position the Service
The pitch is not "we add AI as a channel." The pitch is "we surface the AI dark funnel that your current measurement is missing, value it as a discrete channel, and recommend the budget reallocation that follows." Lead with the diagnostic (your base demand is hiding AI search), then the methodology, then the deliverable.
Clients respond more to the diagnostic framing than to the methodology framing. Once a client understands that their MMM is silently absorbing AI-driven revenue into base demand, the rest of the conversation is about how to fix it, not whether the fix is needed.
The Engagement Shape
Phase one: AI visibility audit. Plug Presenc AI data into the client's existing MMM as a media-equivalent variable, refit, show the decomposition change. This produces the diagnostic that justifies the rest of the engagement.
Phase two: model refit and validation. Adjust adstock and saturation priors, validate against holdout periods, document methodology. Deliverable is a refit MMM with AI search as a discrete channel and a written narrative for client stakeholders.
Phase three: calibration design. Plan and execute a geographic lift test on AI visibility inputs. Use the result to calibrate the MMM and produce a causal-anchored channel ROI report.
Phase four: ongoing operations. Quarterly refits with AI variable, rolling lift tests, governance package maintenance. This is the recurring engagement that comes after the initial diagnostic and refit work.
Pricing and Margin
Phase one prices like a strategy diagnostic ($25K-$75K depending on client size). Phases two through three price like a measurement project ($75K-$200K). Phase four prices like a recurring measurement service ($15K-$50K per quarter). Margins are good because the AI variable addition is high-leverage analyst work, not data engineering.
How Presenc AI Helps
Presenc AI offers consultant pricing and data access tailored to multi-client engagements. Standard exports drop into the consultant's preferred MMM tooling (Robyn, LightweightMMM, PyMC-Marketing, or any commercial platform). Prompt-set governance and methodology versioning are handled by Presenc, so the consultant's time goes into modeling and client communication, not data wrangling.