AI Search Is Rewriting the Marketing Org Chart.

AI search is turning organic visibility from a specialist channel into a set of capabilities across the org and creating commercial dependencies between functions that have different objectives and KPIs. 

For a long time, SEO had a relatively clear home. Commercially, it sat in marketing alongside paid search, where the two channels were managed to maximise acquisition efficiencies. SEO marketing teams focused on rankings, traffic and commercial outcomes. From a technical standpoint, it was aligned closely with Product and Engineering, who focused on things like site architecture, speed and crawlability.

However the rise of AI Search has broadened what determines visibility and it has many marketing organisations rethinking how organic search actually gets done. It’s no longer a job one SEO team can solve but instead a cross-functional effort where each area owns a piece. And whilst the boxes on the org chart may not drastically change, the scope of what each role owns and how they work together very much does.

Beyond keywords and links: What AI search rewards

When an AI model decides whether to surface your brand in response to a question, it’s drawing on information from sources it considers authoritative across the web such as specialist publications, forums, social media, review platforms and trade media. Although a brand’s website matters, it’s one signal among many, many others.

With LLMs placing greater weight on information from trusted sources across the web, AI visibility requires more than just technical optimisation, it prioritises brand reputation, authority and consistency and is as much a whole of business discipline as a search one. For example, the diligent management of complaints on review sites, on socials and Reddit is no longer just a day-to-day concern of the Customer Service team but one that impacts the acquisition team’s MER and yet ultimately depends on Product, Ops and the customer experience.

A new role for brand marketers and how they think

In PR, reach, editorial quality, domain authority and credibility have always mattered but what is changing is the definition of authority. For LLMs, topic authority matters more than reach, so now a niche industry publication can be more authoritative than a big national news title. Reputation also becomes broader than what’s covered in traditional media with communities like Reddit and YouTube needing a proactive approach.

Which brings us to content and social media marketers who now need to conceptualise content for platforms that influence AI discovery in a different way. Alongside the highly engaging content that algorithms reward with reach, they need to develop content that cleanly answers specific questions, and structured onsite content that LLMs can read. These are different objectives requiring different briefs, different capabilities and different measures of success. 

The KPI architecture that makes the new world work

Marketing will continue to be accountable for AI visibility but can’t deliver alone. Given the dependencies across the organisation, each function needs to adopt leading metrics that ladder up to a shared North Star. The tools are still early and imperfect but directional numbers are still good. For example, that could look like a North Star of Share of Answers supported by technical health for Product, citation frequency for PR, platform performance for Content, and it’s probably worth testing whether a dedicated owner for reputation across Reviews and Communities beats absorbing it into Customer Service and Social. Whilst imperfect, having a function accountable for the leading metric they are best placed to move stops shared accountability leading to no accountability. Regardless, if businesses are to keep their MER and CAC under control, there needs to be a mandate from the top to all functions to ensure AI visibility is prioritised across the org, especially when it competes against department specific priorities.

—

AI search isn’t creating another channel but it signals an increasing decentralisation of what was once firmly owned by the marketing team and will force new ways of working. The organisations that adapt fastest will have leaders establish cross-functional KPIs to support AI search visibility, while also solving for upskilling teams, instilling new ways of thinking and developing new playbooks.