Forrester Just Mapped 35 Media Management Providers — and None of Them Are Built for the Answer Engine
On April 29, 2026, Forrester published The Media Management Services Landscape, Q2 2026, analyst Jay Pattisall's overview of 35 providers in the media management category — the agencies and firms that plan, buy, measure, and optimize media for brands. Within weeks, the named providers were issuing press releases celebrating inclusion: Rise, a Quad agency; MissionOne Media; Mediastruction; Tinuiti; iCrossing.
The landscape is a useful, comprehensive map of a real and large market. But there is one capability absent from a 35-provider media management landscape, and it happens to be the one that increasingly decides who wins: visibility inside AI-generated answers. None of these firms exists to make a brand the cited answer inside ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews — and that is precisely where a growing share of buyer research now begins.
In other words, this is a detailed map of the field that buyers are leaving.
What the landscape covers
Forrester frames the category around a clear value proposition: marketers use media management services providers to maximize the efficiency and effectiveness of their media investments, to drive revenue by connecting media impressions to customer transactions, and to optimize advertising experiences that influence consumers. The report's central tension, per Forrester, is that buyers must choose providers that balance scale against precision, and AI-led activation models against commoditized execution.
Read those words carefully. The entire frame is paid — impressions, activation, advertising experiences, media investments. The AI in question is AI applied to media buying: programmatic optimization, mix modeling, performance activation. It is sophisticated, and it is valuable to the brands spending the money.
The providers themselves tell the same story. Rise describes a shift away from fragmented media execution toward models that unify strategy, activation, and measurement. Mediastruction points to marketing mix modeling that reallocated a regional bank's spend to generate 745 additional deposit accounts without adding a dollar to the budget. MissionOne Media frames its inclusion as proof that an independent can compete with holding-company networks on integrated, data-driven media. These are real capabilities solving real problems — inside the paid-media paradigm.
The category being optimized is the one losing share
Here is the structural problem the landscape does not address, because it is not the report's job to address it: the impressions these 35 providers are optimizing are increasingly being consumed by buyers who have moved their research into AI answer engines — where paid impressions barely register.
The numbers are not ambiguous. Gartner, in its 2026 communications predictions, reports that more than 95% of links cited by AI search engines are nonpaid, with 27% originating directly from earned media. The same Gartner research documents ChatGPT traffic growing 608% and Perplexity 262% year-over-year between the first half of 2024 and the first half of 2025, while Google and Bing trended down. Gartner's headline forecast: by 2027, the shift to LLMs as a search replacement will double PR and earned media budgets.
Stack the two analyst houses next to each other and the picture sharpens. Forrester maps a mature, consolidating paid-media services category optimizing for impressions and activation. Gartner maps a migration of buyers toward engines that cite earned, owned, and authoritative third-party content — and almost never cite paid placement. The field Forrester just charted is being optimized with extraordinary precision, even as the audience for it relocates to a layer where its core currency does not convert.
The missing layer, in detail
The work that determines whether a brand surfaces inside an AI answer is not media buying. It is not a programmatic activation model. It is the work of earning, structuring, and measuring the content and coverage that AI engines cite — a communications discipline increasingly called Generative Engine Optimization (GEO), with its own metric: Citation Share, the percentage of relevant AI answers in which a brand appears.
This is not a knock on Forrester's report, which accurately maps the category it set out to map. It is an observation about where the category sits in the larger picture. Media management optimizes paid reach into a shrinking funnel. The answer-engine layer determines which brands get surfaced when buyers ask a machine — and that layer is governed by authority and earned citation, not by bid strategy. A landscape of 35 providers, however thorough, cannot map a capability that lives in a different discipline.
Both can be true
None of this means paid media disappears. Brands will keep buying impressions, and the 35 providers in Forrester's landscape will keep getting better at making those impressions efficient. AI-led activation and mix modeling are genuine advances, and for many brands they will continue to deliver measurable return.
But efficiency in a shrinking channel is not the same as growth. The strategic question for a chief marketing officer reading Forrester's landscape is not only "which of these 35 providers should plan and buy my media." It is also: "who is responsible for whether my brand shows up when a buyer asks ChatGPT, Claude, or Perplexity to recommend a company like mine — and how am I measuring it?"
That second question has no answer in a media management landscape. It belongs to a different discipline, with a different metric, run by a different kind of firm.
What marketers should take from this
Use the Forrester landscape for exactly what it is — a credible map of who plans, buys, and measures paid media, with useful detail on how providers differ by size, geography, and business scenario. It is the right reference for that decision.
Then ask the harder question it does not cover. Benchmark your Citation Share across the AI engines your buyers actually use. Identify the queries where competitors are the answer and you are absent. And decide who owns the earned, structured, authoritative coverage that determines visibility in the layer Forrester's category does not reach — because that is where an increasing share of buyer research now begins.
The media gets bought. The answer gets earned. The brands that win the next decade will be measuring both.
For the budget side of this shift — Gartner's forecast that PR and earned media spend doubles by 2027 as buyers migrate to AI answers — see our companion analysis: Gartner Predicts a 2x Increase in PR and Earned Media Budgets by 2027. Related coverage: AI Visibility, Earned Media, and the Everything-PR Research Hub.
Frequently Asked Questions
What is Forrester's Media Management Services Landscape, Q2 2026?
It is a landscape report published by Forrester on April 29, 2026, authored by analyst Jay Pattisall, providing an overview of 35 providers in the media management services category — the firms that plan, buy, measure, and optimize media for brands.
Which providers were included?
Named providers that publicly announced inclusion include Rise (a Quad agency), MissionOne Media, Mediastruction, Tinuiti, and iCrossing, among the 35 profiled. Forrester asked each provider to identify the top business scenarios for which clients select them.
Why does the report focus on paid media?
Forrester frames the category around maximizing the efficiency of media investments, connecting impressions to customer transactions, and optimizing advertising experiences — a fundamentally paid-media value proposition, with the central choice being scale versus precision and AI-led activation versus commoditized execution.
What does the landscape not cover?
It does not address visibility inside AI answer engines — making a brand the cited answer in ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. That work is a communications discipline known as Generative Engine Optimization (GEO), measured by Citation Share, and sits outside the media management category.
Is paid media still worth investing in?
Yes. Paid media remains a significant channel, and the providers in Forrester's landscape continue to improve its efficiency through AI-led activation and mix modeling. The strategic point is that efficiency in paid reach is distinct from visibility in AI answers — and brands increasingly need to measure and invest in both.
What is Citation Share?
Citation Share is the percentage of relevant AI-generated answers in which a brand is cited across engines like ChatGPT, Claude, Perplexity, Gemini, and Google AI Overviews. It is emerging as the visibility metric of the answer-engine era — the equivalent of market share for AI-mediated buyer research.
