GEO is a team sport: Why generative engine optimisation forces a marketing revolution
Generative engine optimisation is discussed largely as a content problem. Build better articles. Add schema markup. Answer questions more clearly. This framing is understandable – it mirrors how SEO was introduced a decade ago. But it misses the deeper structural challenge that GEO creates for organisations. AI systems do not cite your website. They cite your brand – the accumulated reputation, the third-party mentions, the PR coverage, the forum discussions, the analyst reports, the product reviews. Controlling all of that requires every marketing function working from a single playbook. GEO is not an SEO task. It is a cross-functional organisational challenge.
Why AI systems cannot be won with technical tactics alone
Traditional SEO could largely be managed within a single team. The levers (keyword targeting, page structure, backlink building) were technical and operational. GEO’s levers are fundamentally different. As Eli Schwartz wrote in an analysis widely circulated across the industry:
Large language models learn from what the collective internet says about your brand – not from what your brand says about itself. You cannot canonical-tag your way into ChatGPT’s recommendations. If no independent sources discuss your brand credibly, no amount of schema markup will create the external consensus that AI systems require to cite you confidently. According to SE Ranking’s November 2025 research, domains with profiles on review platforms such as Trustpilot, G2, and Capterra are three times more likely to be cited by ChatGPT than domains without such presence. Domains with significant brand mentions on Quora and Reddit have approximately four times higher citation chances.
The functions GEO requires – and the silos it breaks
GEO creates genuine dependency between functions that have traditionally operated independently:
- SEO provides the technical foundation – structured content, schema, internal linking, page speed, and crawlability. But in GEO, SEO shifts its focus from rankings to citation readiness. Content must be structured for AI extraction, not just human scanning.
- Content Marketing produces the authority signals that AI systems consume. LLMs reward completeness, depth, and clarity. Generic keyword-stuffed articles perform poorly. Original research, proprietary data, and genuinely educational long-form content perform well.
- Public Relations is newly critical. Earned media – press coverage, analyst mentions, industry features – provides the third-party authority signals that AI systems place a high value on. PR must now be evaluated not only by traditional metrics (reach, tier of publication) but by whether it generates the kind of authoritative external mentions that LLMs can draw from.
- Product Marketing controls the brand narrative – how the company is positioned, what language defines the category, and what differentiates the offer. In GEO, that narrative must be consistent and clear enough that AI systems can accurately summarise it without distortion.
- Community and Social teams build presence on platforms that AI systems actively draw from. Reddit, LinkedIn, YouTube, and review platforms (G2, Trustpilot) are among the most-cited sources across major LLMs. Organic community presence on these platforms is a direct GEO signal.
The data on cross-functional impact
The business case for organisational alignment is measurable. Research from Similarweb’s Director of SEO and GEO, published in February 2026, found that 97% of CMOs reported AEO/GEO delivered positive impacts in 2025. According to the same analysis, 56% of companies made significant AEO/GEO investments in 2025, with 94% planning to increase that investment in 2026. An average of 12% of digital marketing budgets is now allocated to AI visibility optimisation. AI-referred traffic is consistently described as higher-intent and more conversion-ready than traditional organic traffic – with some studies (Ahrefs internal data, 2025) reporting conversion rates 23 times higher from AI-referred visitors than from traditional search.
What cross-functional GEO looks like in practice
Firebrand Marketing’s GEO framework, published in December 2025, describes what they call a ‘team sport approach’ – the integration of SEO, content marketing, PR, and social media under a unified GEO strategy. The core principle is that each function contributes different signal types that LLMs consume:
SEO and content ensure that on-site information is structured, authoritative, and extractable. PR ensures that off-site mentions are credible and frequent. Social and community ensure that the brand appears in the platforms and conversations that AI systems actively reference.
The practical implication is that GEO cannot be delegated to an SEO executive and forgotten. It requires a shared brief, shared KPIs, and regular cross-functional reviews. Organisations that build this structure early are building a compounding advantage. Those who treat GEO as another SEO task will find themselves optimising the wrong layer.
Who owns GEO? The budget question
One of the most contested practical questions in 2026 is: which team’s budget funds GEO? The Similarweb analysis offers a clear frame: ‘SEO should lead it, multiple teams should fund it, and everyone should benefit from it.’ This is the correct answer – but it requires executive-level clarity to implement. Without a clear owner, GEO investment will be fragmented, underfunded, and unmeasured.
According to Search Engine Journal’s analysis of over 100 SEO job postings in 2025-2026, SEO roles now explicitly require digital PR strategy and execution, entity SEO and knowledge graph optimisation, community management on Reddit and forums, and cross-functional collaboration with brand, PR, and product teams. The role itself is transforming. The organisational model must follow.
The CEO imperative
The shift GEO demands is not incremental. It requires CEOs and CMOs to reframe digital visibility as a cross-functional outcome rather than a technical deliverable owned by a single team. The brands winning in AI search in 2026 are not those with the best-optimised websites. They are the brands that have built the broadest, most credible, most consistent presence across the entire web – press, reviews, community, owned content – in a way that AI systems can recognise and trust.
The structural question for every leadership team: does your organisation have the cross-functional capability to build and maintain that kind of presence at scale? If the answer is not yet clear, that is where the strategic conversation should begin.