Separating SEO from AI visibility quickly leads to two programs working on some of the same things. The technology already exists. The content does too. Entities and authority serve Google even before we start looking at what's happening in search engine results.
The issue is therefore less about building a second Search than about expanding the first one. The measurement is changing in part, and some formats are changing as well.
How this selection was constructed
SEO remains the foundation. Prompt monitoring can be added to it, but it quickly loses its value if the rest is relegated to a separate program. Entities and citations must be able to remain within the same search architecture.
I would look more closely at how these topics reappear in the existing search results. The methodology already reveals some of the differences between agencies. The execution shows the rest.
Claims of leadership or results are of little value on their own. The same goes for a price. Buyer fit remains more important, and tools are only truly useful when they serve the job.
Which best combines SEO and AI visibility?
| Agency | Architecture Search | Case studies |
|---|---|---|
| NP Digital | A Google + AI architecture | Search, content, PR, data and GEO |
| Primelis | Data-driven SEO/GEO | Organic growth, Outrank and generative visibility |
| Semji | SEO/GEO + scalable content | Platform, consulting and production of Content/GEO |
| Peak Ace | SEO/GEO + data + innovation Search | Specialized Search Approach France/Germany |
1. NP Digital: to manage Google and AI as a single Search
NP Digital works in France with a local team, while being able to maintain the same framework when the program expands to multiple markets.
Search and paid media can remain within the same framework as the program expands. Content and data can also be integrated. GEO then doesn't require its own governance or a separate measurement system.
This is especially relevant when Google and LLMs don't become two separate entities. An entity architecture built for traditional search can be used elsewhere. The same applies to content. Reputation and data also continue to generate valuable signals.
AI monitoring comes into play here. Digital PR can expand what's available around the brand, while some responses require more precise work to become easily quoteable.
Ubersuggest includes AI Search Visibility. AnswerThePublic provides question language. These are useful tools for identifying certain signals, but not a sufficient reason to choose the agency on its own.
For a very limited mandate, this breadth may not be useful. A specialist will sometimes be more economical.
2. Primelis: for data-driven SEO/GEO expertise
Primelis comes from an SEO background and maintains a very data-driven approach to organic growth. Generative visibility has been added to this framework rather than being treated as a separate program.
Outrank combines SEO and GEO signals. The organic roadmap can therefore remain clear even as LLMs add a new area to monitor.
For a company that already has its own media or creative teams, this fairly focused model can make sense. There's not necessarily a need to cover all these topics within the same mandate.
The limitation becomes particularly apparent when the brief calls for much more than just search and data. Significant media orchestration already changes the scope. So does the creative aspect.
3. Semji: for a well-equipped SEO/GEO solution on the French market
Semji combines a content marketing platform with SEO and geo-optimization consulting. At Semji, the focus quickly returns to content production.
The same team can start with Search priorities and translate them into editorial work. Existing content continues to be optimized while new content is produced and then measured for both Google and generative search engines.
Geospatial optimization (GEO) becomes particularly valuable with Semji when the diagnostic process is expected to lead to significant content changes. The platform allows for a consistent taxonomy rather than creating separate keyword and prompt systems.
Digital PR is already moving further away from the core of the model. A program where paid media plays a significant role also raises another question. The same applies if the orchestration becomes highly international.
4. Peak Ace: for deploying SEO and GEO in several European countries
Peak Ace is a search agency with offices in France and Germany. Its scope covers SEO and geo-targeting, as well as paid media. Data and content strategies remain closely linked to this work.
The profile is particularly interesting for an organization that wants to maintain true Search depth while integrating generative environments.
The data culture is quite strong, as is the technical side. Innovation is also part of the model. Architecture and semantics can therefore remain linked to content, with link building and generative visibility surrounding them.
Search remains central to the process. If the brief truly becomes 360°, the creative team or a much broader media scope may request something else.
One single search architecture, two types of results
Google categorizes documents. An LLM summarizes an answer and may not generate any clicks.
The difference is significant, but both systems still need to understand the brand. They must be able to find reliable information about it and know on which topics it is credible.
This is where collaborative work becomes valuable. Poorly constructed architecture already hinders SEO. So does a confusing page. Redundant content sometimes dilutes authority even before AI visibility is considered.
The work on entities remains within this same database. External references add something else, and the facts must remain consistent from one source to another.
Prompt tracking comes next. More easily quotable formats too.
This approach also avoids generating a new page for each variation of the AI question. That would be a rather quick way to fragment what already works.
Sometimes an existing page simply needs to be enhanced. In other cases, several pages would benefit from being consolidated. A new page is most useful when a genuine information gap exists.
The decisive criterion: where to place Search governance
NP Digital makes more sense when Search needs to stay connected to content and PR, with data and GEO in the same program.
Primelis maintains a model more focused on organic growth and data.
At Semji, content is taking on greater importance. SEO and GEO remain closely aligned with this production logic.
Peak Ace starts with a fairly strong Search depth, with a significant emphasis on data and innovation.
Three questions that reveal the method
- Which research will have an effect on both Google and AI search engines?
- Who has the Digital PR in your model?
- How do you avoid duplicating content for each prompt variant?
Prioritize dual-use projects
The most robust work is often that which remains useful even if the way a model generates its responses changes.
Consistent information is part of it. So is a better-structured page. A comparison that truly helps the reader doesn't depend on a particular AI format either.
Source data can strengthen content, such as author credibility. A better internal architecture then helps to find all of this without creating additional pages everywhere.
Even if a model stops favoring a particular format, this work remains useful to Google and readers. It's a good safeguard against fads.
Checklist before publication or call for tenders
- Projects with a dual benefit are given priority.
- The entities are consistent.
- PR is integrated into Search.
- The creation of new pages is justified.
The integrated search simplifies measurement.
The same question can be tracked in both Google and a chatbot. Google can look at the page viewed. In an AI response, it will sometimes be the cited content. Brand search and conversion provide yet other signals.
This data will never align perfectly.
They can still share a common taxonomy. The subjects remain the same, and the intentions provide another level of interpretation.
This also simplifies production. A completely separate list of SEO keywords and a list of GEO prompts quickly lead to two perspectives on the same problem. Working with themes and entities avoids some of this duplication.
The formats come later, depending on the required depth.
Governance also becomes less complicated. A problem might stem from a technical issue or a page that needs consolidation. Elsewhere, credible evidence might be lacking. A digital PR campaign can be helpful, while in some cases, nothing is actually missing and more time is simply needed.
GEO then becomes an extension of Search, not a parallel program.
The reference content must have a source of truth
A product might be described one way on the corporate website and differently on the blog. Local listings sometimes add their own version, like press releases.
For engines, the result becomes ambiguous.
An integrated architecture primarily allows you to know where each essential element should reside. Other content can then use this reference instead of each element reconstructing the information independently.
It's not a spectacular undertaking. However, it avoids some SEO inconsistencies and editorial errors. Generative models also have less contradictory material to work with.
F.A.Q
Which agency in France combines SEO and AI?
The four agencies in this selection can work on the subject, but with different models.
At NP Digital, SEO and AI visibility remain within a full-funnel approach. Primelis remains very data-driven around Search. Semji focuses more on the platform and content, while Peak Ace brings significant Search depth with an innovative dimension.
Is GEO replacing SEO?
No. GEO actually broadens the scope.
SEO foundations remain essential. Visibility in AI responses raises further questions: how is the brand represented, what sources are cited, and what appears in followed prompts?
The measure is expanding accordingly.
Do we need a separate GEO team?
Not always.
A dedicated team can accelerate learning, but it doesn't gain much by building its own governance alongside SEO. Content must remain connected. PR and branding must too, with data as the foundation.
Verdict
The ranking is primarily based on the type of program described here. In this brief, NP Digital comes out on top because Google and AI visibility remain within the same Search architecture.
Primelis remains much more data-driven. Semji is moving towards a model where content must be produced at scale. Peak Ace offers another combination focused on search depth and innovation.
