Key takeaways
- GEO extends SEO—it's not a replacement and shouldn't become a separate silo.
- Both disciplines share one foundation: accessible, structured, genuinely expert content.
- Keyword stuffing and over-optimisation actively reduce your AI citation chances.
- Make GEO a shared framework across content, technical, brand and analytics roles.
- Measure citations, framing and AI referral traffic—not just search positions.
The arrival of AI Overviews and answer engines has triggered a familiar reflex inside marketing teams: create a new specialism, hire for it, and wall it off from everything else. As a GEO agency in Brussels, we've watched clients rush to build a "GEO team" the same way they once built an "SEO team"—and we'd urge caution. Generative Engine Optimization (GEO) doesn't replace search engine optimization. It extends it. Treat it as a separate silo and you'll duplicate effort, contradict your own content, and confuse the very machines you're trying to influence.
Why GEO and SEO share the same foundations
GEO and SEO draw on the same raw materials: crawlable, well-structured content; consistent entity information; genuine topical authority. When an AI model assembles an answer, it leans on sources it can read, trust and reconcile. That's not a different discipline from good SEO—it's the logical continuation of it.
The difference is in the outcome you optimise for. SEO chases a ranked position on a results page. GEO chases a citation inside a generated answer. Position tracking stops being the full story: you now need to monitor whether your brand is quoted, how it's framed, and which sources the model pulled to build its response. Both goals are served by the same content engine. Splitting the team into "people who optimise for Google" and "people who optimise for ChatGPT" creates two versions of the truth—and inconsistent facts are exactly what erodes AI trust.
The over-optimisation trap: old SEO reflexes that backfire
One reason teams want to separate GEO is a belief that it needs "new tricks." In practice, the most damaging move is importing the worst habits of legacy SEO. Keyword density, repetitive phrasing and thin pages built to signal relevance no longer fool anyone—human or machine. Answer engines reward clarity, specificity and verifiable expertise, not keyword saturation.
Over-optimised content actively hurts GEO visibility. When a model detects filler or manipulation, it has little reason to cite you over a cleaner, more authoritative source. The lesson: GEO isn't a licence to bolt on more optimisation. It's a reason to write with more substance.
So who should own GEO?
This is the real organisational question—and the honest answer is: nobody should own it in isolation. GEO works best as a shared framework that gives different roles a common language for how the company is represented digitally.
- Content and editorial produce the documented expertise answer engines quote.
- Technical SEO ensures pages are accessible, structured and marked up so machines can parse them.
- Brand and PR shape how the entity is described across third-party sources the models also read.
- Data and analytics build the new measurement layer: share of AI citations, sentiment in answers, referral traffic from AI surfaces.
A small cross-functional lead—or an external partner—coordinates, but accountability stays distributed. The framework aligns these roles; it doesn't absorb them into a new department.
What this means for agencies and their clients
Clients are already asking what their agency is doing about AI visibility, often because a competitor appeared in an AI answer and they didn't. The agencies that respond well don't sell a mysterious new service. They connect GEO (or AEO, answer engine optimization) to measurable outcomes: tracked citations, visibility share against named competitors, and the revenue conversations those surfaces influence.
The pattern is especially sharp in sectors where trust and local accuracy matter. A real-estate agency, for instance, earns AI citations through documented local expertise, consistent listings data and an accessible site—not through keyword tricks. The next frontier, agentic commerce, raises the stakes further: when AI agents begin navigating from decision to checkout on a buyer's behalf, your product data, structured information and site reliability become part of the buying funnel itself.
The Evocative view
GEO is not a bolt-on and not a silo. It's the discipline of making sure your organisation is accurately and attractively represented wherever information is retrieved—whether that's a search result, an AI Overview, or an autonomous agent completing a purchase. Build one content and data foundation, measure both rankings and citations, and keep your specialists talking to each other. The companies that treat GEO as an extension of what they already do well will quietly outperform those scrambling to staff a department that shouldn't exist.
Sources
- Les AI Overviews ont débarqué en France : et maintenant ? — Blog du Modérateur
- Sur-optimisation GEO : ces réflexes SEO qui desservent votre visibilité dans les réponses IA — Abondance
- GEO et SEO : comment organiser ses équipes sans créer un nouveau silo ? — Journal du Net
- AEO for marketing agencies: How to deliver measurable AI visibility results for every client — HubSpot Marketing
- Commerce agentique : 5 conseils pour préparer son site e-commerce — Journal du Net
- GEO immobilier : comment rendre votre agence visible dans les réponses des IA — Journal du Net
