WPP, Publicis, Omnicom: The Holdcos Are Embedding AEO — Just Not Calling It That
The world's largest agency groups are quietly building AI search visibility into their proprietary platforms.
Every major holding company now has a tool that monitors how client brands appear in LLMs. None of them are calling it AEO. The category is being built from the outside in.
Author: Ian Ash
Published: Published at launch: July 23, 2026
Category: Industry
Ask any of the six major agency holding groups whether they offer AEO services and you will get a carefully worded non-answer. Ask them whether their proprietary AI platforms include tools to monitor and improve how client brands appear in large language models, and every single one will say yes. That gap between the capability and the category name is the most revealing thing happening in the AEO industry right now.
The Platform Layer
In April 2026, The Media Leader published a comprehensive breakdown of every holding group's AI platform. The findings were striking not for what the platforms do, but for how they are positioned. WPP's Open platform, launched in 2024 as a 'large marketing model,' includes an Agent Hub with tools for AI search monitoring. Publicis's Marcel — the oldest of the group platforms, launched in 2018 — has been integrated with Microsoft Azure and now includes Epsilon identity data for AI-driven audience targeting. Havas's Converged.AI explicitly includes an LLM brand monitoring module. Omnicom's Omni, relaunched after the IPG acquisition, includes 2.6 billion verified IDs and real-time commerce signals that feed into AI-driven campaign optimization. Dentsu's Connect platform, revamped in 2026, incorporates Google Gemini and Meta Llama for multi-agent workflows.
What none of these platforms do is offer a standalone, named AEO service. There is no 'WPP AEO.' There is no 'Publicis Answer Engine Practice.' The capability exists, embedded inside broader AI marketing platforms, but the category framing — the explicit acknowledgment that AI search visibility is a distinct discipline requiring distinct methodology — is absent.
The One Exception: Razorfish
The exception is Razorfish, the Publicis-owned digital agency. In September 2025, Razorfish hosted a client-facing webinar titled 'The AI Search Playbook: Breakthrough Brand Visibility,' led by Amos Ductan, SVP of Search. The event explicitly addressed how AI platforms rank and surface brand content, what leading marketers are doing to adapt, and the risks of waiting too long to act. It is the only public-facing, named AI search optimization offering from any holding group entity — and it came from a specialist digital agency within the network, not from the holding group itself.
That distinction matters. Razorfish's AI Search Playbook is a practitioner-level offering built by people who run search programs. The holding group platforms are infrastructure plays built by people who run data and technology businesses. They are solving different problems for different buyers, and the fact that Razorfish had to build its own offering rather than leverage WPP Open or Marcel suggests that the platform layer is not yet close enough to the practitioner layer to serve client needs directly.
What the Holdcos Are Actually Doing
The more accurate description of what the holding groups are doing on AEO is monitoring, not optimization. Every major group now has the capability to track how client brands appear across ChatGPT, Gemini, Perplexity, and Copilot. Havas's Brand Insights tool, Omni's commerce signals layer, and WPP Open's Agent Hub all include some version of LLM brand monitoring. What they do not yet have — at least not in any publicly documented form — is a systematic methodology for improving those appearances: the content restructuring, entity building, third-party citation strategy, and technical crawlability work that constitutes actual AEO practice.
That gap is not a criticism. It reflects the natural lag between a new category emerging and large organizations building the internal capability to serve it. The SEO analogy is instructive: when Google's PageRank algorithm became the dominant discovery mechanism in the early 2000s, the holding groups did not immediately build SEO practices. They acquired specialist agencies, incubated internal teams, and eventually integrated SEO into their broader digital offerings over a period of years. The AEO cycle is likely to be faster — the category is moving faster, the client demand is more urgent, and the holding groups are more structurally prepared to absorb new digital disciplines than they were in 2002.
The Independent Advantage
The practical implication for brands is that the most sophisticated AEO capability currently sits outside the holding group networks. Platforms like Profound, Searchable, and Goodie AI have built purpose-built AI visibility infrastructure that the holding group platforms have not yet matched. Full-service AEO agencies have developed optimization methodologies that the holding group monitoring tools do not yet execute. And independent consultants like Kevin Indig and Aleyda Solis are publishing the research and frameworks that the entire industry — including the holding groups — is learning from.
That balance will shift. It always does. But for the next 18 to 24 months, the brands that move fastest on AEO will be the ones that engage directly with the specialist ecosystem rather than waiting for their holding group to build the capability internally. The holdcos are coming. They are just not here yet.