Why GEO Is a Positioning Problem, Not a Technical One

Muck Rack’s 2026 State of PR survey asked 1,115 PR professionals about AI adoption and GEO, among other topics. Its inclusion of GEO says something about where the subject has landed: communications teams now have to address it. It does not follow that PR should own the whole task. AI visibility also depends on decisions and systems outside communications, which is why ownership becomes difficult.

It’s a symptom, and the symptom is diagnostic: if a discipline can’t find a natural home in any single existing department, that’s usually because it was never a departmental task to begin with. This article makes the case directly: generative engine optimization is a positioning problem wearing a technical name, and treating it as a technical initiative is why so many companies are stuck without an owner.

Why it doesn’t fit in any one team

Hand the task to the SEO team, and the instinct makes surface-level sense — the work involves content, search intent, and technical markup, all familiar SEO territory. But look at what actually feeds an AI-generated answer: press coverage that builds third-party authority, the consistency of how the company describes itself across every channel it doesn’t fully control, technical infrastructure that makes an entity legible, and the depth of first-party content. None of those four inputs sits inside one function. PR doesn’t own the technical schema.

Marketing doesn’t control third-party press mentions. The web team doesn’t decide whether the company’s positioning is stated consistently across LinkedIn, a review site, and a partner’s case study. A task assigned to whichever team happens to hold the “SEO” label will only ever manage one of four inputs, and the other three will keep drifting unmanaged — which is exactly the pattern showing up in that ownership survey.

What actually determines whether you get cited

Strip away the acronym and the underlying requirement is a familiar one: a single, decided account of what the company is and does, told the same way everywhere it appears, with enough real substance behind it that an AI system can extract something specific rather than a generic claim. That is not a technical specification. It’s the output of positioning work — the same work that determines whether a sales team can answer “why you and not them” in one sentence, whether messaging stays consistent across a marketing calendar, whether an acquired company’s story survives contact with its new parent.

GEO doesn’t introduce a new kind of work. It introduces a new audience — a machine reader alongside the human one — for the same underlying discipline, and it raises the cost of getting that discipline wrong, because a machine reader now decides who gets named in an answer a human never sees the alternatives to.

The ownership question, answered by looking at what breaks

When AI visibility efforts fail inside companies that have genuinely tried, the failure mode usually isn’t a missing piece of markup — it’s an unresolved positioning question wearing a technical disguise. A team implements schema correctly, monitors citations diligently, and still finds the model hedging on what the company actually does, because the underlying positioning was never made specific enough to survive being checked against three independent sources.

No technical fix resolves an unresolved strategic decision. This is why the ownership question in that survey doesn’t have a satisfying technical answer: GEO belongs wherever positioning decisions are actually made and defended — which in most companies is closer to brand or executive leadership than to any single execution team, and is precisely the level at which nobody wanted to claim it, because it looks like a technical checklist rather than the strategic decision it actually is.

What this changes in practice

None of this means the technical work is optional — schema, crawlability, structured content all matter, and skipping them leaves an otherwise clear position harder for a system to parse. It means the technical work is the easy half, done properly once the harder half is settled: a specific, defensible, consistently stated position that a system encounters the same way regardless of which of its four input channels it happens to check. Organizations that reach for a technical fix first and a positioning decision second tend to get a well-optimized version of an unresolved question — better markup around the same ambiguity, which changes very little about whether they actually get named.

The cause determines the owner

Source Code B addresses the strategic part of this problem: a clear position and a structured foundation from which teams and internal AI tools can derive consistent communication. It does not complete every adjacent task. Conflicting company data still needs clear ownership and entity consistency; technical accessibility remains a job for SEO and engineering. An AI-visibility audit can reveal which of those causes is present.

Continue with related topics

• What Makes a Brand “AI-Readable”
• Entity Consistency: The New Foundation of Brand Trust
• What Brand Positioning Actually Means (And What It Doesn’t)

FAQ

Should marketing or PR own GEO, then? Neither, by default, and that’s the point — assigning it to whichever team currently owns adjacent tactics reproduces the same fragmentation the ownership survey found. It needs an owner with the authority to decide and defend the underlying position, which is a brand or executive-level responsibility with operational support from whichever teams touch content, PR, and technical infrastructure.

Is this just a rebranding of standard SEO practice? It shares infrastructure with SEO but not its center of gravity. Traditional SEO can succeed with strong technical execution on top of adequate positioning. This can’t: an AI system checking your description against three independent sources will surface an unresolved position no matter how well the technical layer performs.

How urgent is this compared to other brand priorities? It depends entirely on whether the underlying position is already sound. A company with a clear, consistently stated position mostly needs the technical layer added — genuinely fast work. A company without one is better served fixing that first; adding AI-specific technical work on top of an undecided position produces a well-optimized version of the same ambiguity.