Customer Decision Intelligence for the AI Era

DECIVUM reveals how customers and prospects actually use ChatGPT and other generative AI platforms to search, compare, choose, and buy.

It connects those behaviors to marketing decisions, estimates their economic value, and identifies which actions deserve priority.

DECIVUM does not start with what AI says about your brand. It starts with how people use AI to make a purchase decision.

Let's talk about your market
What it reveals

DECIVUM maps how a purchase decision takes shape in the AI era.

It reconstructs the journey to understand what triggers the search, how questions evolve, which alternatives enter consideration, and which criteria shape the choice.

01

What triggers the search

The situation, problem, or objective that leads someone to use a generative AI engine and what they are trying to solve.

02

What people are trying to understand

The questions they ask, how they go deeper, and how their needs and priorities change along the way.

03

Which alternatives enter consideration

The brands, products, services, and solutions that are considered, compared, or ruled out.

04

What drives the decision

Which criteria, doubts, proof points, information, and trust signals shape preference and choice.

05

How AI works alongside other sources

How search engines, websites, comparison sites, reviews, media, communities, stores, and sales interactions combine with AI throughout the journey.

The result: a view of the decision process that goes far beyond a snapshot of brand visibility.

What you can decide

DECIVUM turns behavioral insight into concrete marketing decisions.

It identifies where the CMO should strengthen, correct, test, or reprioritize activity and investment, directly or through teams and partners.

Value proposition and messaging

Identify which benefits, proof points, and differentiators actually matter in the decision and which buyers perceive as weak, unclear, or irrelevant.

Content

Decide which questions deserve better answers and which content should be created, updated, or rethought.

SEO, PR, and sources

Identify which sources shape the decision and where to focus content, PR, reputation, and organic visibility efforts.

Media

Understand which needs and contexts justify investment and build advertising tests on a stronger understanding of demand.

Budget

Reallocate investment toward the levers that influence decision criteria instead of chasing presence or visibility metrics alone.

Customer experience and offering

Surface when the issue is not communication or visibility, but service, price, terms, product, or the customer experience itself.

DECIVUM does not execute these activities. It helps management decide which ones deserve priority and budget, and who should own them.

The blind spot

Companies measure what people do well. They see far less of how people arrive at a decision.

Analytics, CRM, and attribution systems capture many observable actions well. What they rarely reconstruct is how needs, questions, alternatives, and decision criteria developed beforehand.

What companies measure
  • Sessions
  • Impressions
  • Clicks
  • Leads
  • Conversions
  • CRM
  • Sales
What often remains invisible
  • Needs
  • Questions
  • Alternatives
  • Decision criteria
  • Doubts
  • Sources
  • Trust
Analytics capture the visible journey. DECIVUM reconstructs how the decision took shape before it became visible.
Economic value

Understanding what is happening is not enough. You need to know how much it matters.

DECIVUM connects observed and reported behavior to the client's economic scope to estimate what share of value may be influenced, protected, or captured.

01

Define the business scope

Revenue, contracts, premiums, net inflows, bookings, customer value, or other metrics relevant to the business being analyzed.

02

Estimate AI's influence on the decision

Behavioral evidence helps determine how often AI is used, how much it influences the choice, and whether that influence is economically material.

03

Turn materiality into priorities

The estimate uses ranges, explicit assumptions, and confidence levels to compare the materiality of AI's influence with other investment priorities.

The economic estimate separates what is interesting from what is material enough to warrant investment.

Method

We start with people. Then we test how AI and other sources contribute to the decision.

DECIVUM combines behavioral research, client data, analysis of generative AI environments, and economic modeling. Each conclusion is calibrated to the quality of the available evidence.

01

Behavior

How people search and research

  • Search in Italy
  • Customer and market surveys
  • Behavioral panels when available
  • Analytics and first party data
  • Customer service and other proprietary signals
02

Decision

How the choice takes shape

  • Needs and questions
  • Alternatives considered
  • Decision criteria
  • Doubts and friction
  • Reasons for choice or abandonment
03

Generative AI environments

How AI contributes to the decision

  • Analysis of generated answers
  • Comparison across the brand, competitors, and alternatives
  • Source mapping
  • Trust signals
  • Information, narrative, and reputation gaps
04

Value and priority

How much it matters and what to do

  • Economic estimate
  • Ranges and explicit assumptions
  • Action priorities
  • KPIs
  • Roadmap
Evidence levels

Observed · Reported · Generated by models · Inferred · Validated · Economically estimated

DECIVUM always distinguishes the nature of the evidence. Conclusions and recommendations are calibrated to the confidence level supported by that evidence.

Why DECIVUM

The research foundation behind DECIVUM did not start with ChatGPT.

To understand how AI changes decisions, you first need to understand how people decide. Search in Italy has studied that since 2004.

2004

Search in Italy

Search in Italy has studied how people search, evaluate, and choose products and services since 2004.

That perspective makes it possible to view generative search within a much longer evolution of how people use sources, frame questions, apply criteria, and move toward a decision.

DECIVUM uses this body of research to interpret AI's new role and connect it to marketing decisions and economic value.

Created by

Marco Loguercio

For 30 years, he has worked on search behavior, digital strategy, marketing, and ecommerce.

He founded SEMS in 2002 and FIND in 2013, two Italian digital performance marketing agencies, and has led Search in Italy since 2004. Today he advises B2C companies and DTC brands.

DECIVUM therefore treats AI as the latest evolution in how consumers search, evaluate, and choose, rather than as an isolated technology shift.

LinkedIn profile
DECIVUM does not sell media, software, or execution services. Its role is to understand, measure, and set priorities. Internal teams, agencies, vendors, and specialists can then execute against a direction built independently of the services they sell or deliver.
DECIVUM TRACE

DECIVUM TRACE applies the same Customer Decision Intelligence to ChatGPT Ads planning.

To define the conversations, needs, and contexts in which an ad can be relevant, you first need to understand how people frame their needs and move toward a decision.

TRACE uses the same DECIVUM engine and turns the evidence into a conversational demand map, priority decision contexts, and planning intelligence for media teams and agencies.

Explore DECIVUM TRACE
Trigger Request Alternatives Criteria Evidence
Initial conversation

Do you already know how your customers are using AI to choose?

An initial conversation helps us understand what evidence already exists in your market, what can be collected, and which questions DECIVUM should help answer.

If AI's influence is material enough, we define an analysis scope. If it is not, it is better to know before allocating budget and resources.

Marco Loguercio will reply personally.

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