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  • “Dominating Human Conversation Does Not Mean You Dominate Machine Discovery”, Incubeta Americas CEO Amy Crowther on Winning “Share of Answer” in the Age of AI Search

“Dominating Human Conversation Does Not Mean You Dominate Machine Discovery”, Incubeta Americas CEO Amy Crowther on Winning “Share of Answer” in the Age of AI Search

  • October 29, 2026
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“Dominating Human Conversation Does Not Mean You Dominate Machine Discovery”, Incubeta Americas CEO Amy Crowther on Winning “Share of Answer” in the Age of AI Search

Key Highlights

  • The agency model is too fragmented. Media, creative and data cannot live in separate rooms. The gap between those who measure the data and those who act on it is costing agencies and their clients
  • Buy outcomes, not deliverables. Buying media, accessing inventory and technology, defining audiences and producing reports are now commoditized. Value comes from agreeing on goals, how progress is measured and where accountability sits.
  • B2B shortlists form early. Around 90% of B2B buyers purchase from the list they started with, and half of software buyers now start their research in a chatbot.
  • Activity is not results. 92% of marketing leaders believe their measurement is precise, yet 41.6?mit its limitations lead to wasted budget.
  • Share of answer is the new measure. When a customer asks about your category, are you recommended, mentioned or ignored? Incubeta's team found Kleenex was not an LLM's top answer for tissue paper, so fame does not guarantee machine visibility.
  • Prepare for agents that buy. Product data, pricing and inventory must be as readable to machines as marketing is compelling to people.
  • Behavioural science does not stop at conversion. Frameworks such as StoryVesting and the Bow-Tie Funnel connect decision motivations to the full customer lifecycle, including acquisition cost and lifetime value.

“Dominating human conversation does not mean you dominate machine discovery.”

 

Ask an AI to recommend the top brand for each type of tissue paper, and Kleenex is not its top answer. Incubeta's technical team ran that test, and for Amy Crowther it captures the shift now facing marketers: being famous is not enough when buyers, and soon the AI agents buying on their behalf, are asking chatbots deep, contextual questions. The new measure, she says, is share of answer: when a customer asks about your category, are you recommended, mentioned or ignored?

Crowther is CEO of Incubeta Americas, and she argues that the agency model itself needs to change. In this conversation, she explains why media, creative and data can no longer live in separate rooms, why clients should move from procuring deliverables to partnering on outcomes, and why B2B buyers often settle on a shortlist before the first email goes out. She also describes how Incubeta guards against activity masquerading as results by combining attribution, incrementality testing and marketing mix modeling, including the work that helped Taxfix cut inflated channel metrics by 54%, and what behavioral science looks like once the sale is made.


You joined ADWEEK's Agencies Vanguard, a group shaping what's next for agency leadership. What do you think the agency model gets wrong today?

The issue with the modern agency is its fragmented structure. The traditional agency model made sense when data was less available and less necessary. Now the disconnect between those who measure the data and those who act on it is costing agencies and their clients. Media, creative and data cannot live in separate rooms anymore.

The model also undersells the relationship. Too many partnerships are judged on whether the to-do list got done. That tells you the relationship is functioning. It does not tell you it is valuable. Part of what clients pay for is an outside perspective, and if nobody asks for it, they are paying for expertise and using it as execution capacity. Agencies own part of that. They must show-up asking better questions, challenging the brief and protecting the outcome rather than the scope. 

 

Behavioral science in B2B is a growing theme in your posts. What's a specific example of applying behavioral science principles that most B2B marketers overlook?

I've never really subscribed to the idea that B2B and B2C require fundamentally different approaches to marketing. We're still influencing human behavior, building trust and helping people make decisions. What changes is the complexity, value and time involved in making those decisions. I think that's why we're seeing B2B marketers lean harder into behavioral science and more structured frameworks.

At Incubeta, we're seeing greater appetite to test and activate models like StoryVesting and our Bow-Tie Funnel, which connect the motivations behind a decision with the entire customer lifecycle. What's often overlooked is what happens beyond the initial conversion. It's not enough to understand what makes someone buy. We need to understand what makes them stay, grow and ultimately become more valuable to the business. That's where behavioral science becomes much more powerful, connecting how people make decisions to customer acquisition cost, lifetime value and real commercial outcomes.

 

What's the biggest misconception clients have about what an agency partner can and can't do for them?

I think the biggest misconception is that an agency should be bought on what it delivers, rather than what it helps a business achieve. So much of what agencies traditionally sold has become commoditized. Buying media, accessing inventory and technology, defining audiences, producing reports. These are all things an agency should be able to do, but they shouldn't be the checklist that defines the relationship or its value.

We need to move from procuring deliverables to partnering on outcomes. That's harder to do because success looks different for every business, depending on its stage of growth, commercial priorities and how it's structured. It requires both sides to agree on what they're trying to achieve, how they'll measure progress and where accountability sits. An agency can't own every lever of a client's business, but it should absolutely share responsibility for the marketing outcomes it's there to influence. For me, that's the difference between buying a service and building a partnership that moves the business forward. 

 

You've operated in both B2C and B2B environments. What's the single biggest difference in how those buyers make decisions?

When a firm buys something, it involves much more internal deliberation than a consumer purchase. A B2C marketer is usually trying to reach one person, maybe two. A business has many more decision makers, and each of them needs the choice to be defensible. The shortlist also forms early. Around 90% of B2B buyers purchase from the list they started with, and half of software buyers now start that research in a chatbot. If you are not on the list before the first email goes out, you are fighting for a decision that has already been made.

Consumers move faster, but they are no more forgiving. You used to be able to get away with a clunky website or a bad app. Today, tolerance for a bad digital experience is effectively zero. If I ask an AI to find five hotels in Italy that meet my exact criteria, any brand not structured to appear in that answer is eliminated before I even know it exists. 

 

As media and measurement continue to fragment across platforms, how do you help clients avoid “activity” masquerading as “results”?

Our strategy is to have as little fragmentation between media and measurement as possible. Keeping a laser focus on real results is the best antidote to busywork. That means condensing platforms into as few as possible, so brands have full access to the metrics that matter. Activity wins by default because clicks are immediate and contribution margin is not. And when every dashboard is green, nobody questions the model behind it. Our research found that 92% of marketing leaders believe their measurement is precise, yet 41.6?mit measurement limitations lead to wasted budget.

We never rely on one lens. Attribution gives us the speed to optimize. Incrementality testing tells us what caused the result. Marketing mix modeling guides where the budget should go next. And we report profit on ad spend and contribution margin right next to ROAS and CPA. When Taxfix took this approach, it cut inflated channel metrics by 54% and doubled its upper-funnel investment with confidence. Therein is the difference between reporting activity and deciding. 

 

What's one trend in agency or media strategy you expect to look completely different two years from now?

AI and agentic search will have transformed how marketers reach their audiences. Once-supreme metrics like web traffic will become just another barometer for how marketers measure their operations. We spent two decades learning to type like robots. Now we are speaking like humans again, asking AI deep, contextual questions. The new measure is share of answer. When a customer asks about your category, are you recommended, mentioned or ignored?

Being famous is not enough. Our technical team asked an LLM to recommend the top brand for each type of tissue paper, and Kleenex was not its top answer. Dominating human conversation does not mean you dominate machine discovery. Over the next two years, AI agents will also start comparing and buying on the customer's behalf. Your product data, pricing and inventory must be as readable to machines as your marketing is compelling to people. If the AI cannot parse you, your brand does not exist in the new discovery ecosystem. 

Agency Strategy
Marketing Measurement
Agentic Search
B2B Marketing
AI In Marketing
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Frequently Asked Questions

What is share of answer?

It is the measure Amy Crowther expects to replace web traffic as the key barometer. When a customer asks an AI about your category, it asks whether your brand is recommended, mentioned or ignored.

Why is being a famous brand not enough in AI search?

Incubeta's technical team asked an LLM to recommend the top brand for each type of tissue paper, and Kleenex was not its top answer. Dominating human conversation does not mean dominating machine discovery.

What is wrong with the traditional agency model?

It is fragmented. It made sense when data was less available and less necessary, but now the disconnect between those who measure the data and those who act on it is costing agencies and clients. Partnerships are also often judged on whether the to-do list got done, which shows the relationship is functioning but not that it is valuable.

What does moving from deliverables to outcomes mean?

Clients and agencies agree on what they are trying to achieve, how they will measure progress and where accountability sits. An agency cannot own every lever of a client's business, but it should share responsibility for the marketing outcomes it is there to influence.

How can brands stop activity masquerading as results?

Reduce fragmentation by condensing platforms into as few as possible, and never rely on one lens. Combine attribution, incrementality testing and marketing mix modelling, and report profit on ad spend and contribution margin next to ROAS and CPA.

How do B2B and B2C buyers differ?

A B2B purchase involves many more decision makers, each needing the choice to be defensible, and the shortlist forms early. Consumers move faster but are no more forgiving, and tolerance for a bad digital experience is effectively zero.

How should brands prepare for AI agents that compare and buy for customers?

Over the next two years, agents will start comparing and buying on the customer's behalf, so product data, pricing and inventory must be readable to machines. If the AI cannot parse a brand, it does not exist in the new discovery ecosystem.

What does behavioural science add in B2B marketing?

Crowther does not see B2B and B2C as fundamentally different, since both involve influencing human behavior and building trust. Behavioural science becomes most powerful beyond the first conversion, connecting how people decide to acquisition cost, lifetime value and commercial outcomes.
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