Share of Model Pods: How AI Search Is Impacting Organizational Design
Share of Model Pods: How AI Search Is Impacting Organizational Design
Share of Model Pods: How AI Search Is Impacting Organizational Design
Share of Model Pods: How AI Search Is Impacting Organizational Design
Josh Diamond
•
January 29, 2026
If you’re not showing up in the first 200 Tokens in AI Search, your brand/product doesn’t exist. How are you building for this new reality?
For decades, brand visibility was measured by share of voice. Any brand could buy their way to the top of the page.
AI search is breaking that model.
Today, consumers aren’t scanning pages of links. They’re asking a question and receiving a synthesized answer. Large language models decide which brands to mention, which products to recommend, and which sources to trust. In many categories, this happens with zero clicks (AKA zero click search).
Visibility is no longer about how loud you are. It’s about whether the model includes you at all. This is the shift from share of voice to share of model.
If your brand isn’t present in the model’s answer, effectively, your brand doesn’t exist in the purchasing moment.
For decades, brand visibility was measured by share of voice. Any brand could buy their way to the top of the page.
AI search is breaking that model.
Today, consumers aren’t scanning pages of links. They’re asking a question and receiving a synthesized answer. Large language models decide which brands to mention, which products to recommend, and which sources to trust. In many categories, this happens with zero clicks (AKA zero click search).
Visibility is no longer about how loud you are. It’s about whether the model includes you at all. This is the shift from share of voice to share of model.
If your brand isn’t present in the model’s answer, effectively, your brand doesn’t exist in the purchasing moment.
For decades, brand visibility was measured by share of voice. Any brand could buy their way to the top of the page.
AI search is breaking that model.
Today, consumers aren’t scanning pages of links. They’re asking a question and receiving a synthesized answer. Large language models decide which brands to mention, which products to recommend, and which sources to trust. In many categories, this happens with zero clicks (AKA zero click search).
Visibility is no longer about how loud you are. It’s about whether the model includes you at all. This is the shift from share of voice to share of model.
If your brand isn’t present in the model’s answer, effectively, your brand doesn’t exist in the purchasing moment.
For decades, brand visibility was measured by share of voice. Any brand could buy their way to the top of the page.
AI search is breaking that model.
Today, consumers aren’t scanning pages of links. They’re asking a question and receiving a synthesized answer. Large language models decide which brands to mention, which products to recommend, and which sources to trust. In many categories, this happens with zero clicks (AKA zero click search).
Visibility is no longer about how loud you are. It’s about whether the model includes you at all. This is the shift from share of voice to share of model.
If your brand isn’t present in the model’s answer, effectively, your brand doesn’t exist in the purchasing moment.
Understanding Share of Model
Over the past year, our innovation arm at Diamond, Bold AI, has been focused on helping brands understand and adapt to this shift. That work led us to build Podium, an enterprise AI search platform designed to show brands how they actually appear inside AI-generated answers and what actions increase their share of model.
Podium doesn’t track traditional rankings. It analyzes how models interpret your brand, when you’re recommended, who you’re compared against, and what content influences those outcomes in the moments that matter. In a zero-click world, this is where the battle for hard fought sales are won and lost.
Over the past year, our innovation arm at Diamond, Bold AI, has been focused on helping brands understand and adapt to this shift. That work led us to build Podium, an enterprise AI search platform designed to show brands how they actually appear inside AI-generated answers and what actions increase their share of model.
Podium doesn’t track traditional rankings. It analyzes how models interpret your brand, when you’re recommended, who you’re compared against, and what content influences those outcomes in the moments that matter. In a zero-click world, this is where the battle for hard fought sales are won and lost.
Over the past year, our innovation arm at Diamond, Bold AI, has been focused on helping brands understand and adapt to this shift. That work led us to build Podium, an enterprise AI search platform designed to show brands how they actually appear inside AI-generated answers and what actions increase their share of model.
Podium doesn’t track traditional rankings. It analyzes how models interpret your brand, when you’re recommended, who you’re compared against, and what content influences those outcomes in the moments that matter. In a zero-click world, this is where the battle for hard fought sales are won and lost.
Over the past year, our innovation arm at Diamond, Bold AI, has been focused on helping brands understand and adapt to this shift. That work led us to build Podium, an enterprise AI search platform designed to show brands how they actually appear inside AI-generated answers and what actions increase their share of model.
Podium doesn’t track traditional rankings. It analyzes how models interpret your brand, when you’re recommended, who you’re compared against, and what content influences those outcomes in the moments that matter. In a zero-click world, this is where the battle for hard fought sales are won and lost.
Insight Is No Longer a Scarce Resource
What Podium made clear almost immediately is that AI search insight arrives fast.
Often faster than organizations are ready for.
Brands can now see, in near real time, when they’re missing from recommendations, when competitors are favored, or when outdated content is shaping how models describe them. These insights are rarely abstract. They’re specific, concrete, and actionable.
Yet, the brand stalls.
Not because the insight is wrong, but because acting on it isn’t simple.
AI search findings don’t belong to one team. Fixing them might require content updates across multiple client teams, legal review, platform-specific adjustments, and agency execution. Ownership of the problem fragments. Decisions slow. Momentum stops.
The irony is obvious: AI compresses discovery cycles while organizational processes remain linear.
What Podium made clear almost immediately is that AI search insight arrives fast.
Often faster than organizations are ready for.
Brands can now see, in near real time, when they’re missing from recommendations, when competitors are favored, or when outdated content is shaping how models describe them. These insights are rarely abstract. They’re specific, concrete, and actionable.
Yet, the brand stalls.
Not because the insight is wrong, but because acting on it isn’t simple.
AI search findings don’t belong to one team. Fixing them might require content updates across multiple client teams, legal review, platform-specific adjustments, and agency execution. Ownership of the problem fragments. Decisions slow. Momentum stops.
The irony is obvious: AI compresses discovery cycles while organizational processes remain linear.
What Podium made clear almost immediately is that AI search insight arrives fast.
Often faster than organizations are ready for.
Brands can now see, in near real time, when they’re missing from recommendations, when competitors are favored, or when outdated content is shaping how models describe them. These insights are rarely abstract. They’re specific, concrete, and actionable.
Yet, the brand stalls.
Not because the insight is wrong, but because acting on it isn’t simple.
AI search findings don’t belong to one team. Fixing them might require content updates across multiple client teams, legal review, platform-specific adjustments, and agency execution. Ownership of the problem fragments. Decisions slow. Momentum stops.
The irony is obvious: AI compresses discovery cycles while organizational processes remain linear.
What Podium made clear almost immediately is that AI search insight arrives fast.
Often faster than organizations are ready for.
Brands can now see, in near real time, when they’re missing from recommendations, when competitors are favored, or when outdated content is shaping how models describe them. These insights are rarely abstract. They’re specific, concrete, and actionable.
Yet, the brand stalls.
Not because the insight is wrong, but because acting on it isn’t simple.
AI search findings don’t belong to one team. Fixing them might require content updates across multiple client teams, legal review, platform-specific adjustments, and agency execution. Ownership of the problem fragments. Decisions slow. Momentum stops.
The irony is obvious: AI compresses discovery cycles while organizational processes remain linear.
Why Traditional Org Structures Break Under AI Search
Most enterprise organizations are designed for stability, not speed. Responsibilities are clearly defined. Hand-offs are intentional. Governance is layered.
That works when change is incremental.
AI search isn’t incremental.
When models update, when new answers emerge, or when competitors suddenly appear in places you don’t, waiting weeks for alignment isn’t just inefficient. It’s costly.
Adding more tools or more reporting doesn’t fix this. The problem isn’t visibility. It’s silos and the inability for firms to execute across teams and mandates.
Most enterprise organizations are designed for stability, not speed. Responsibilities are clearly defined. Hand-offs are intentional. Governance is layered.
That works when change is incremental.
AI search isn’t incremental.
When models update, when new answers emerge, or when competitors suddenly appear in places you don’t, waiting weeks for alignment isn’t just inefficient. It’s costly.
Adding more tools or more reporting doesn’t fix this. The problem isn’t visibility. It’s silos and the inability for firms to execute across teams and mandates.
Most enterprise organizations are designed for stability, not speed. Responsibilities are clearly defined. Hand-offs are intentional. Governance is layered.
That works when change is incremental.
AI search isn’t incremental.
When models update, when new answers emerge, or when competitors suddenly appear in places you don’t, waiting weeks for alignment isn’t just inefficient. It’s costly.
Adding more tools or more reporting doesn’t fix this. The problem isn’t visibility. It’s silos and the inability for firms to execute across teams and mandates.
Most enterprise organizations are designed for stability, not speed. Responsibilities are clearly defined. Hand-offs are intentional. Governance is layered.
That works when change is incremental.
AI search isn’t incremental.
When models update, when new answers emerge, or when competitors suddenly appear in places you don’t, waiting weeks for alignment isn’t just inefficient. It’s costly.
Adding more tools or more reporting doesn’t fix this. The problem isn’t visibility. It’s silos and the inability for firms to execute across teams and mandates.
Share of Model Pods: Organizing Around the Insight
To address this gap, we began standing up Share of Model Pods. The irony of course being that we initially thought we had developed an AI tool but what the market actually valued was teams who could implement its findings.
Rather than forcing AI search insights through existing hierarchies or organizational structures, Share of Model pods allowed for temporary, cross-functional execution organized around a single insight or recommendation.
Each pod brings together the people required to act: representatives from multiple client teams, legal, agency partners, and Podium analysts. The pod is built with one singular objective, clear SLAs, and one accountable owner responsible for shipping solutions.
Decision rights happen inside the pod. Trade-offs are made in real time. Output moves quickly from insight to live content. Results follow.
Importantly, pods don’t replace existing teams. They bypass complexity when speed matters most. In a world of exponential change brands can’t afford to play an incremental game.
To address this gap, we began standing up Share of Model Pods. The irony of course being that we initially thought we had developed an AI tool but what the market actually valued was teams who could implement its findings.
Rather than forcing AI search insights through existing hierarchies or organizational structures, Share of Model pods allowed for temporary, cross-functional execution organized around a single insight or recommendation.
Each pod brings together the people required to act: representatives from multiple client teams, legal, agency partners, and Podium analysts. The pod is built with one singular objective, clear SLAs, and one accountable owner responsible for shipping solutions.
Decision rights happen inside the pod. Trade-offs are made in real time. Output moves quickly from insight to live content. Results follow.
Importantly, pods don’t replace existing teams. They bypass complexity when speed matters most. In a world of exponential change brands can’t afford to play an incremental game.
To address this gap, we began standing up Share of Model Pods. The irony of course being that we initially thought we had developed an AI tool but what the market actually valued was teams who could implement its findings.
Rather than forcing AI search insights through existing hierarchies or organizational structures, Share of Model pods allowed for temporary, cross-functional execution organized around a single insight or recommendation.
Each pod brings together the people required to act: representatives from multiple client teams, legal, agency partners, and Podium analysts. The pod is built with one singular objective, clear SLAs, and one accountable owner responsible for shipping solutions.
Decision rights happen inside the pod. Trade-offs are made in real time. Output moves quickly from insight to live content. Results follow.
Importantly, pods don’t replace existing teams. They bypass complexity when speed matters most. In a world of exponential change brands can’t afford to play an incremental game.
To address this gap, we began standing up Share of Model Pods. The irony of course being that we initially thought we had developed an AI tool but what the market actually valued was teams who could implement its findings.
Rather than forcing AI search insights through existing hierarchies or organizational structures, Share of Model pods allowed for temporary, cross-functional execution organized around a single insight or recommendation.
Each pod brings together the people required to act: representatives from multiple client teams, legal, agency partners, and Podium analysts. The pod is built with one singular objective, clear SLAs, and one accountable owner responsible for shipping solutions.
Decision rights happen inside the pod. Trade-offs are made in real time. Output moves quickly from insight to live content. Results follow.
Importantly, pods don’t replace existing teams. They bypass complexity when speed matters most. In a world of exponential change brands can’t afford to play an incremental game.
The Real Competitive Advantage
AI search tools like Podium make the invisible visible. They show brands where they stand in a world of zero-click discovery and what needs to change to earn more share of model.
But tools don’t create advantages on their own.
Advantage comes from how quickly an organization can respond once the truth is known.
As AI search continues to reshape discovery, the winners won’t be the companies with the most sophisticated dashboards. They’ll be the ones with operating models designed to act at the speed of the models themselves.
That’s what Share of Model Pods are really selling: not insight, but motion.
AI search tools like Podium make the invisible visible. They show brands where they stand in a world of zero-click discovery and what needs to change to earn more share of model.
But tools don’t create advantages on their own.
Advantage comes from how quickly an organization can respond once the truth is known.
As AI search continues to reshape discovery, the winners won’t be the companies with the most sophisticated dashboards. They’ll be the ones with operating models designed to act at the speed of the models themselves.
That’s what Share of Model Pods are really selling: not insight, but motion.
AI search tools like Podium make the invisible visible. They show brands where they stand in a world of zero-click discovery and what needs to change to earn more share of model.
But tools don’t create advantages on their own.
Advantage comes from how quickly an organization can respond once the truth is known.
As AI search continues to reshape discovery, the winners won’t be the companies with the most sophisticated dashboards. They’ll be the ones with operating models designed to act at the speed of the models themselves.
That’s what Share of Model Pods are really selling: not insight, but motion.
AI search tools like Podium make the invisible visible. They show brands where they stand in a world of zero-click discovery and what needs to change to earn more share of model.
But tools don’t create advantages on their own.
Advantage comes from how quickly an organization can respond once the truth is known.
As AI search continues to reshape discovery, the winners won’t be the companies with the most sophisticated dashboards. They’ll be the ones with operating models designed to act at the speed of the models themselves.
That’s what Share of Model Pods are really selling: not insight, but motion.