The AI Search Team Ownership Model: Who Owns GEO?

Untangling the Ownership Question

• Why ‘Who Owns AI Search?’ Is the Hardest Question in GEO
• The Anatomy of the AI Search Engine – Five Functional Domains
• The AI Search RACI: Responsible, Accountable, Consulted, Informed
• Where the Handoffs Break Down (And How to Fix Them)
• The Orchestrating Layer: The Role Nobody Has Yet
• How to Structure Your Team for AI Search
• Where Pepper Fits
• Industry Updates: What CMOs Are Saying About Team Structure
• YouTube Script
• FAQ

Everyone touches AI search. Nobody owns it.

Ask five people in a marketing org who owns AI search, and you’ll get five answers. SEO says it’s an extension of search. Content says it’s about the content. PR says it’s about authority and citations. Brand says it’s about entity recognition. Product marketing says it’s about how the product shows up in answers.

They’re all right. And that’s exactly the problem.

AI search is not a channel. It’s a strategy that sits at the intersection of five functions – and when something belongs to everyone, it gets executed by no one. The work falls into the gaps between teams: the schema SEO assumed content would handle, the entity-building PR assumed brand owned, the citation monitoring nobody was assigned.

Kishan Panpalia, part of Pepper’s founding team, framed it precisely at Index ’26: GEO ‘has intersections with your social media, with your PR and corp comms, with your traditional SEO, content marketing, and product marketing across multiple teams. GEO is not a channel. It’s a strategy at the center of it.’

Why ‘Who Owns AI Search?’ Is the Hardest Question in GEO

Traditional marketing channels have clean ownership. Paid media has a paid team. Email has a lifecycle team. Events has an events team. Each channel has a budget line, a metric set, and a named owner.

AI search has none of that – because it isn’t a channel. It’s an outcome produced by the coordinated output of five functions, each of which owns a piece of the input but none of which owns the result.

There are 3 reasons this makes ownership uniquely hard:

1. Whether your brand gets cited in ChatGPT depends on content structure (content team), schema (SEO/dev), entity recognition (brand), third-party citations (PR), and product positioning (product marketing). One outcome, five owners.The inputs are distributed, but the outcome is singular – 
2. Share of Answer, brand mentions, and domain citations don’t belong to any existing function’s KPI set. Without a metric on someone’s scorecard, the work has no natural home.The metrics don’t map to existing scorecards – 
3. Unlike SEO, which had two decades to settle into a defined function, GEO is being assigned in real time. In most orgs it lands on whoever raised their hand first – usually SEO or content – without the cross-functional authority to actually execute it.It’s new, so there’s no established precedent – 

The Anatomy of the AI Search Engine – Five Functional Domains

Before assigning ownership, decompose what AI search actually requires. The AI search engine has 5 functional domains, each naturally aligned with an existing team:

Notice the pattern: no single team’s existing mandate covers more than one domain. Brand can’t write the schema. SEO can’t secure the press coverage. Content can’t reposition the product. Each domain is necessary; none is sufficient. That’s the structural reason AI search needs a coordination model, not just an owner.

The AI Search RACI: Responsible, Accountable, Consulted, Informed

A RACI removes the ambiguity that kills GEO programs. For each component of the AI search engine, it names who does the work (Responsible), who owns the outcome (Accountable), who must be looped in (Consulted), and who needs visibility (Informed).

Here is the AI search RACI most enterprise teams should adopt. The Accountable column is deliberately concentrated – accountability that’s shared is accountability that’s absent.

Two design choices make this RACI work. First, the GEO Lead role is accountable for monitoring and orchestration – the two things no existing function naturally owns. Second, the CMO is accountable for orchestration at the executive level, because cross-functional coordination requires authority that sits above any single team.

Where the Handoffs Break Down (And How to Fix Them)

GEO programs rarely fail at execution within a function. They fail at the handoffs between functions. There are 4 handoff failures that recur in almost every enterprise org:

Every one of these failures has the same root cause: the handoff has no owner. The work inside each function gets done; the work between functions does not. This is precisely the gap the orchestrating layer exists to close.

The Orchestrating Layer: The Role Nobody Has Yet

Every functioning AI search program has an orchestrating layer – a role or function that owns the cross-functional coordination that no single team can. In most orgs, this role doesn’t exist yet. That absence is the single biggest structural reason GEO stalls.

The orchestrating layer does five things no existing function does end to end:

1. the shared map of what queries matter, which keeps all five functions pointed at the same targets.Owns the prompt universe – 
2. the weekly Atlas scans and reporting that tell every function whether their work is producing citations.Runs the citation monitoring – 
3. the publish gates, quarterly syncs, and trigger workflows that close the gaps between functions.Enforces the handoffs – 
4. helping SEO understand entity work, helping PR understand citability, helping Product Marketing understand answer formatting. This is the translation role NVIDIA’s Linda Kaplinger described at Index ’26: being ‘the explainer of what AEO or GEO is, and how you translate that back to even talking to product.’Translates between functions – 
5. consolidating Share of Answer and citation metrics into the executive scorecard, so the program has air cover and budget.Reports to the CMO and board – 

This orchestrating layer can be an internal hire – what some CMOs are now calling a ‘GEO Lead’ or building into a ‘systems thinker’ marketing-ops role – or it can be a partner that brings the function pre-assembled. Increasingly, it’s both.

How to Structure Your Team for AI Search

There is no single correct org chart for AI search – but there are 3 viable models, depending on company size and maturity:

1. No dedicated GEO hire. The most senior marketer (often the CMO or VP Marketing) acts as the orchestrating layer part-time, with the RACI distributing execution across existing functions. Works up to ~10-person teams; breaks down when coordination overhead exceeds the orchestrator’s available time.The embedded model (small teams) – 
2. A dedicated GEO Lead owns monitoring and orchestration full-time, while the five functions execute their RACI components. This is the most common enterprise structure forming in 2026. The GEO Lead is often a former SEO or content strategist who has developed cross-functional fluency.The GEO Lead model (mid-size teams) – 
3. The org hires what enterprise CMOs at Index ’26 called ‘systems thinkers’ – people who think in terms of how LLMs read data and how content must be structured for machines. This model treats GEO orchestration as a marketing-ops function, often paired with an AI engineer on staff.The systems-thinker model (AI-native teams) – 

Whichever model you choose, the non-negotiable is that the orchestrating layer is named and resourced. The RACI distributes the work; the orchestrating layer makes sure the distributed work adds up to citations.

Where Pepper Fits

Pepper functions as the orchestrating layer – and the execution capacity behind it. For most enterprise teams, the hardest part of AI search isn’t deciding the RACI; it’s resourcing all five functions plus the coordination on top, without hiring six new people.

Eli, a CEO who works with Pepper, described exactly this at Index ’26: ‘When we met Pepper, what we ended up having is – yes, you get Pepper, but you get a website expert, a search expert, a GEO expert. We’d show up to a weekly call with 6 or 7 people. So instantly, I’ve got that part of my business taken care of. From a resource allocation perspective, I don’t have to worry about staffing that up.’

Pepper sits across the RACI in two ways. As the orchestrating layer, it owns the prompt universe, the Atlas citation monitoring, and the cross-functional coordination – the components that have no natural internal owner. As execution capacity, it delivers the content, the technical retrievability work, and the authority-building that the internal functions don’t have the bandwidth to produce at GEO velocity.

Critically, Pepper doesn’t replace the internal functions – it orchestrates and augments them. The brand team still owns brand. Product marketing still owns positioning. Eli’s point underscores the boundary: he invested months building a messaging guide so that Pepper’s execution stayed in his company’s authentic voice. The orchestrating layer coordinates; it doesn’t override the functions that own the brand’s identity.

Industry Updates: What CMOs Are Saying About Team Structure

‘A Lot Flatter’ – The Marketing Org Is Shrinking

Heidi, a CMO on the Index ’26 enterprise panel, described how she’s rebuilding her org for the GEO era: ‘First and foremost, just a lot flatter. The traditional marketing org used to be a flex – how big is your team, 100 people, 200 people. Now the flex is, it’s two.’ The implication for AI search ownership: with smaller teams, the RACI matters more, not less. Fewer people means each function’s components must be precisely assigned, because there’s no slack to absorb dropped handoffs.

The Rise of the ‘Systems Thinker’ and the AI Engineer on Staff

The most cited structural change at Index ’26 was the emergence of a new role. Heidi described it directly: ‘The biggest change for us is we have an AI engineer on staff. And I’ve hired the new marketing ops people – the systems thinkers. People that think: this is how an LLM is going to look at data.’ Dropbox’s marketing lead echoed it, describing acceleration toward ‘systems thinking’ in the marketing org. For AI search ownership, this signals that the orchestrating layer is increasingly being staffed as a technical marketing-ops function, not a traditional content or SEO role.

‘Content People Who Get the Structure It Needs to Be In’

A second new role surfaced repeatedly at Index ’26: the content strategist who understands machine-readable structure. As Heidi put it: ‘You need to hire content people that can think, okay, to structure this content on my website, this is how I have to write.’ The judgment of what makes good content and the skill of structuring it for machines are increasingly described as two different competencies – a distinction that directly shapes how the Content function’s RACI components get staffed.

PR Is Becoming a Growth Function

Kishan Panpalia made a pointed claim at Index ’26: ‘PR is now a growth marketing function – 100%. Sorry to all the PR and comms leaders in the room, you all have to become growth marketers.’ His reasoning: digital PR now directly drives LLM citations, and one-time annual backlinking campaigns no longer work – consistent monthly distribution does. For the AI search RACI, this elevates PR/Comms from a supporting function to a primary citation-driving owner, with a cadence requirement it didn’t have before.

Authenticity as a Cross-Functional Constraint

Across multiple Index ’26 panels, leaders stressed that the orchestrating layer must preserve brand authenticity even as it coordinates execution at scale. Dropbox’s marketing lead noted you can ‘sniff from a thousand miles when it’s AI-generated content versus one with an authentic voice.’ The practical ownership implication: the orchestrating layer coordinates and accelerates, but the Brand and Product Marketing functions retain veto authority over voice and positioning – a boundary that should be written into the RACI’s Consulted column, not assumed.

FAQ: AI Search Team Ownership

Who should own AI search (GEO) in a marketing team?

No single existing function should own AI search outright, because it spans five domains – entity/brand recognition (Brand), content citability (Content), technical retrievability (SEO/Dev), authority and citations (PR/Comms), and product positioning (Product Marketing). The recommended model assigns each domain’s execution to its natural function via a RACI, and names an orchestrating layer – a GEO Lead accountable for monitoring and cross-functional coordination, with the CMO accountable for executive-level orchestration. The mistake to avoid is dropping the entire program on SEO or content alone, since neither has authority over the other four domains.

What is a RACI for AI search and why does it matter?

A RACI for AI search assigns, for each component of the AI search engine, who is Responsible (does the work), Accountable (owns the outcome), Consulted (must be looped in), and Informed (needs visibility). It matters because AI search produces one outcome — citations – from the distributed inputs of five functions. Without a RACI, work falls into the gaps between teams: schema that content assumed SEO would add, entity-building that PR assumed brand owned. The RACI’s most important rule: exactly one team in the Accountable column per component. Shared accountability is absent accountability.

Where do AI search handoffs most commonly break down?

Four handoffs break most often: Content to SEO (pages publish without schema because nobody owns the trigger); Brand to PR (entity work and press coverage run in parallel but never connect); PR to Content (earned coverage never gets repurposed into citable owned pages); and Product Marketing to Content (positioning changes but AI-facing content still describes old messaging). The fix for all four is the same – assign an owner to the handoff itself, usually through publish gates, quarterly syncs, or trigger workflows enforced by the orchestrating layer.

Do we need to hire a dedicated GEO Lead?

It depends on team size. Small teams (under ~10 people) can run an embedded model where the senior-most marketer orchestrates part-time. Mid-size and enterprise teams generally need a dedicated GEO Lead who owns citation monitoring and cross-functional coordination full-time – the components no existing function naturally owns. Some AI-native orgs are instead building this into a ‘systems thinker’ marketing-ops role, sometimes paired with an AI engineer on staff. Alternatively, an orchestrating partner can deliver the GEO Lead function plus execution capacity without internal headcount, which many enterprise teams choose for the first 12–18 months.

How does an external partner fit into the AI search ownership model?

An external partner can function as the orchestrating layer and as execution capacity simultaneously – owning the prompt universe, citation monitoring, and cross-functional coordination, while delivering the content, technical retrievability, and authority-building work that internal functions lack bandwidth to produce at GEO velocity. The critical boundary is that the partner orchestrates and augments the internal functions rather than replacing them: the brand team retains brand ownership and product marketing retains positioning authority. A documented messaging guide is the standard mechanism for keeping partner-produced execution in the brand’s authentic voice.