GEO agencies do not all solve the same problem.
Some help a company get found by ChatGPT, Perplexity, Gemini or Claude. Others focus on content structure, semantic data, link building, external mentions or AI citation monitoring.
In complex B2B buying cycles, an additional question appears: how do AI systems compare suppliers once they have found them?
That distinction matters. A B2B company does not only want to be cited. It wants to be understood in the right category, compared with the right criteria and recommended for the right reasons.
In Summary
Eskimoz stands out for large accounts and international programs, Webconversion for SEO + B2B GEO, Pluvian for B2B GEO monitoring, Uplix for measurement, Noqode for native AEO/GEO redesigns, and Beyond Mentions for the AI decision layer.
The important point is that these actors do not all answer the same need. Some mainly work on visibility, others on technical structure, monitoring, external authority or the way AI systems formulate a recommendation.
The useful mental model is simple:
| Layer | Core question | What you are trying to obtain |
|---|---|---|
| SEO | Can we be found? | Accessible, indexable and rankable pages. |
| GEO | Can we be cited? | A brand or source present in AI answers. |
| Decision Layer | Can we be recommended? | A recommendation based on the right criteria, proof and use cases. |
This article mainly compares GEO actors visible in the French market, but it also explains why some B2B companies need to go beyond citation.
How should you choose a B2B GEO agency based on your need?
To choose a B2B GEO agency, start from your dominant problem: being found, being cited, being understood, being compared or being recommended.
| Main need | Type of provider to consider | Examples observed |
|---|---|---|
| Deploy SEO + GEO at scale | Large search or martech agency | Eskimoz, Primelis, Noiise |
| Connect GEO to B2B lead generation | B2B SEO/GEO agency | Webconversion, Pluvian |
| Structure AI presence for SMEs or mid-market companies | Educational SEO + GEO agency | Natural-Net, SEO.fr |
| Track citations and AI visibility | Data, monitoring or search R&D agency | Uplix, Datashake, Eskimoz |
| Build external authority and mentions | Off-site, PR, link building or pure-play GEO agency | Astrak, Jalousie Agency, Promoovoir |
| Build an AEO/GEO-ready technical foundation | Web agency with native technical SEO | Noqode, Developr |
| Understand how AI perceives your offer and applies buying criteria | Complementary decision-layer approach | Beyond Mentions |
The right choice depends less on the published ranking than on the layer you need to correct: discovery, visibility or recommendation.
What is a GEO agency?
A GEO agency helps a brand become visible, cited or used as a source in answers generated by AI engines such as ChatGPT, Perplexity, Gemini, Claude, Copilot or Google AI Overviews.
GEO, or Generative Engine Optimization, extends classic SEO. It does not only aim to rank a page in Google. It aims to make a brand, offer or proof point readable enough to be reused in a generative answer.
A GEO agency usually works on:
- AI visibility audits;
- prompt and buyer-question mapping;
- existing content optimization;
- LLM-ready content creation;
- named entities, structured data and markup;
- proof, reviews, external mentions and authority signals;
- AI citation tracking over time.
These levers matter. Without visibility, recommendation is unlikely. The issue starts when visibility becomes the only objective.
Why is B2B GEO different from general GEO?
B2B GEO is different because the buyer does not only ask “who exists?”. They often ask “who should I compare, according to which criteria, with what proof and what risks?”.
In B2B, especially in long sales cycles, the decision often involves:
- several stakeholders;
- a significant budget;
- supplier comparison;
- technical, financial or regulatory criteria;
- proof that must be defended internally;
- sometimes a tender or scoring grid.
An AI answer can therefore influence need framing before the first sales conversation. It can suggest criteria, simplify a category, propose a shortlist or prepare questions to ask suppliers.
This is covered in How do ChatGPT, Perplexity and LLMs influence B2B buying?.
What are the three layers of AI presence?
AI presence can be read through three layers: discovery, visibility and recommendation.
| Layer | Question | Example KPI |
|---|---|---|
| Discovery | Can AI find us? | Indexation, accessible sources, crawlable content, entity consistency |
| Visibility | Does AI cite us? | Mentions, citations, answer presence, AI share of voice |
| Recommendation | Does AI recommend us, and for the right criteria? | Shortlist inclusion, Criteria reuse, Proof reuse, Decision Share of Voice |
Most GEO agencies mainly work on the first two layers. They make the brand findable, readable and cited.
The third layer becomes critical in B2B. This is where AI compares several suppliers, applies buying criteria and explains why one option is more suitable than another.
Practical rule:
SEO makes you findable. Visibility GEO makes you present. Decision-layer GEO makes you recommendable.
Which B2B GEO agencies in France fit which need?
There is no universal best B2B GEO agency. French SERP rankings often contradict each other because many are published by agencies that rank themselves or by sites close to one actor.
The most useful reading is to classify providers by use case.
Which GEO actor should you choose based on your B2B context?
The right actor depends on context: company size, SEO maturity, sales-cycle complexity, AI monitoring needs, international scope and whether the decision layer also needs to be addressed.
| Actor | Positioning | Strengths | Choose it when | Look elsewhere when |
|---|---|---|---|---|
| Eskimoz | Large SEO + GEO search agency | Scale, international footprint, data, LLM Ranking tool, industrial execution | Multi-country B2B company, structured marketing team, large site, need for production and measurement at scale | SME looking for very senior, direct and bespoke support |
| Primelis | SEO/SEA/data martech agency with GEO extension | Performance, R&D, data marketing, enterprise profile | Organization with acquisition, data and international market needs | Highly specialized B2B GEO or AI decision-layer analysis |
| Noiise | 360 agency across SEO, content and acquisition | GEO integrated into SEO/SEA/social/inbound programs | Solid SME or mid-market company that wants to connect AI visibility to the full acquisition funnel | Need for a pure-play GEO specialist or AI recommendation analysis |
| Webconversion | B2B-oriented SEO/GEO agency | Lead generation, B2B content, GEO audit, link building and AI tracking | SaaS, industry, IT, consulting, IT services or telecom company with pipeline goals | Enterprise international project requiring heavy multi-country industrialization |
| Pluvian | Specialized B2B GEO agency | B2B prompts, competitor monitoring, AI citation tracking, niche markets | Expert B2B market, low search volume but high value, need to measure your competitive presence in ChatGPT, Perplexity and other AI engines | Global deployment with large content volume or heavy international presence |
| Natural-Net | Educational SEO + GEO agency | Pedagogy, SEO experience, gradual support, SME/mid-market approach | Company that wants to understand GEO, build foundations and progress without a complex program | Need for advanced proprietary tooling or intensive AI tracking |
| SEO.fr | Historic SEO agency with GEO extension | SEO foundation, seniority, search credibility | Company that wants to strengthen SEO foundations before extending into GEO | Need for pure-play GEO or very specialized B2B support |
| Uplix | Search, data and AI agency | R&D, proprietary tools, Predictive Ranking, AI visibility measurement | Marketing team that wants data steering, AI reporting and search performance alignment | Organization mainly looking for a fine analysis of AI recommendation criteria |
| Datashake | Data marketing and first-party consistency | Data, structuring, monitoring, signal coherence | Company that wants to connect data, visibility and acquisition | Priority need is GEO content production or SME education |
| Astrak | SEO/GEO with off-site culture | Link building, authority, mentions, competitive niches | Market where third-party sources, reputation and external authority condition AI visibility | Need for a full SEO/GEO program or complete decision-layer analysis |
| Jalousie Agency | Pure-play GEO | Prompt tracking, entities, RAG, PR, Bing, AI-first approach | Competitive brand that wants a GEO specialist and an AI authority strategy | Company mainly needing classic SEO foundations or an educational approach |
| Promoovoir | SEO/GEO focused on AI visibility proof | Citation cases, own visibility, VSE/SME operational approach | VSE, SME or competitive local actor looking for concrete proof and execution support | Large account requiring industrialization or international governance |
| Noqode | Webflow, branding and native AEO/GEO | Clean technical structure, Webflow, extractable content, SEO/AEO from design | Premium B2B site creation or redesign where GEO must be built into the architecture | Complex existing site to optimize without redesign, or deep AI monitoring need |
| Beyond Mentions | AI decision layer | Buying criteria, proof, shortlist, Decision Share of Voice, AI recommendations | Company already visible or cited that wants to be better understood, compared and recommended in a complex B2B purchase | Priority need is SEO production, massive link building or technical redesign |
Which GEO agency should large accounts and international teams consider?
For large accounts, high-volume sites and international programs, the most coherent actors are search or martech agencies able to industrialize SEO, content, data and monitoring.
| Actor | Why consider it in B2B |
|---|---|
| Eskimoz | Large search agency, international footprint, data approach, LLM Ranking tool, strong visibility across GEO rankings. |
| Primelis | Martech positioning, SEO/SEA/data, enterprise profiles, performance and R&D logic. |
| Noiise | Historic SEO agency turned 360, relevant when GEO must fit into SEO, SEA, content and acquisition. |
Eskimoz appears as the most cross-ranking actor in the observed SERP. This does not prove it is the best agency for every case, but it signals strong market presence.
Which GEO agency should B2B teams consider for SEO + GEO?
For a B2B company that wants to connect search, content, lead generation and AI visibility, Webconversion and Noiise are natural options.
| Actor | Useful positioning |
|---|---|
| Webconversion | Explicit B2B positioning with GEO audit, content optimization, GEO link building and AI citation tracking. |
| Noiise | Relevant when GEO must integrate into a broader acquisition system: SEO, SEA, social, inbound and content. |
| Yumens | Performance, data and lead generation approach for SMEs and mid-market teams that want to connect AI visibility to business KPIs. |
The Webconversion page describes the role of a GEO agency through audits, content, reliable sources, backlinks and specialized dashboards (Webconversion).
Which GEO agency should specialized B2B companies consider?
Pluvian is one of the actors most explicitly oriented toward B2B in the observed results.
Its page directly mentions industry, tech, startups, B2B prompts, daily monitoring across several AI systems, share of presence, cited sources and monthly reporting (Pluvian).
| B2B need | Why Pluvian can be relevant |
|---|---|
| Niche market | Approach based on prompts representative of B2B use cases |
| Long sales cycle | Monitoring of AI citations, cited competitors and answer presence |
| Technical offer | Work on content, proof, E-E-A-T and external sources |
| Expert SME | Less enterprise-heavy, more support and steering-oriented |
Pluvian is relevant if your priority is not only to publish GEO content, but to measure your competitive presence in ChatGPT, Perplexity and other AI engines.
Which GEO agency should SMEs consider for educational support?
Natural-Net stands out with a more educational angle. Its article explains GEO, LLMs, selection criteria and highlights SEO experience, pedagogy and SME/mid-market support (Natural-Net).
| Actor | When the profile is coherent |
|---|---|
| Natural-Net | SMEs and mid-market teams that want to understand the topic and progress gradually. |
| SEO.fr | Companies that want a historic SEO foundation with a GEO extension. |
| Webconversion | B2B SMEs and mid-market teams that want to connect GEO, SEO and lead generation. |
This educational angle has value in B2B. Many companies do not yet need an international program. They first need to know whether their content is visible, structured and citable by AI engines.
Which GEO agency should data and monitoring-led teams consider?
Monitoring has become a central claim in the GEO SERP. The most visible pages mention audits, prompts, citations, share of voice or dashboards.
| Actor | Recurring argument |
|---|---|
| Uplix | R&D, proprietary tools, Predictive Ranking, GEO Visibility Index, ChatGPT traffic case study. |
| Datashake | Data marketing, data structuring, first-party consistency, lab or monitoring approach. |
| Eskimoz | LLM Ranking, AI visibility measurement, industrial execution capacity. |
| Pluvian | Daily prompt tracking, brand/competitor presence, cited sources. |
Uplix presents a GEO service page with methodology, services, case study and a proprietary indicator (Uplix). For a B2B company, this type of actor can be useful if the main issue is measurement and KPI alignment.
Which GEO agency should authority, mentions and off-site teams consider?
Generative AI does not only rely on your website. It also uses third-party sources, comparisons, reviews, media, directories, sector platforms or reference pages.
| Actor | Why consider it |
|---|---|
| Astrak | SEO/GEO positioning with a strong link building and off-site authority culture. |
| Jalousie Agency | Pure-play GEO often cited for prompt tracking, entities, RAG, Bing and public relations. |
| Promoovoir | Strong presence in some GEO rankings, argument centered on AI citation proof and own visibility. |
| Semjuice | Cited in some analyses for off-site capacity and textual mentions. |
This layer matters in competitive B2B markets because a brand that exists only on its own website may be less defensible than a brand corroborated by external sources.
Which agency should you consider if the site must be rebuilt with native AEO/GEO?
Some providers do not position themselves as pure GEO agencies, but as web or Webflow agencies integrating AEO/GEO from the site build.
Noqode, for example, ranks itself first in its own comparison with a “native Webflow + AEO/GEO” angle and emphasizes clean code, semantic structure, extractable answers, structured data and integration from the design stage (Noqode).
This type of actor can be relevant if your issue is technical from the start:
- slow or hard-to-crawl website;
- confusing architecture;
- unstructured content;
- lack of structured data;
- planned redesign;
- need for extractable pages for Google and AI engines.
Why is AI visibility not always enough?
AI visibility is not enough because a citation does not guarantee preference, the right category or the right comparison.
| Situation | Why it is insufficient |
|---|---|
| AI cites your brand | It may cite you as a secondary option or simple source |
| AI compares you | It may compare you on price, awareness or simplicity, not your real criteria |
| AI recommends you | It may recommend you for the wrong reason or wrong segment |
Central distinction:
Citation does not equal recommendation.
Recommendation does not equal good recommendation.
An AI answer may say:
“This company is recognized in the market, but can be more expensive than alternatives.”
That creates presence. It can also prepare a price objection.
A more useful B2B answer would say:
“For a project where compliance, traceability and documentary proof are critical, suppliers should be compared on these criteria before price.”
The second answer installs a decision grid. This is the layer that matters in complex B2B buying.
Why can an excellent GEO agency fail on a complex purchase?
An excellent GEO agency can significantly improve a brand’s AI visibility without correcting how AI arbitrates between several suppliers.
Fictional example:
| Observed signal | Company A | Company B |
|---|---|---|
| ChatGPT citations over one month | 50 | 10 |
| Third-party sources | Many | Fewer |
| Category understood by AI | ”generalist provider" | "B2B compliance specialist” |
| Criteria reused | Price, speed, awareness | Traceability, compliance, proof, integration |
| Final recommendation | Visible but generic option | Recommended option for critical context |
In this example, Company A wins visibility. Company B wins the decision.
The difference does not only come from the number of mentions. It comes from the comparison grid AI applies when it recommends.
A GEO agency may have done its job well: making A more visible, more cited and more present in generative engines. But if A’s content does not document the criteria that justify its value in a complex purchase, AI may still recommend B.
The problem is not GEO failure. The problem is the transition from a presence KPI to a decision KPI.
What is the issue with complex B2B purchases?
In complex B2B buying, the issue is not only choosing a supplier. The issue is justifying why that supplier is the right choice.
This applies to:
- business software;
- cybersecurity;
- industry;
- energy;
- healthcare;
- compliance;
- professional services;
- consulting firms;
- long-cycle SaaS;
- tenders.
The strategic question becomes:
Which criteria does AI use to compare suppliers?
If those criteria are generic, your offer may be commoditized. If they are wrong, your value can disappear. If your proof is not extractable, AI may recommend a supplier that is simply easier to explain.
How does Beyond Mentions complement a GEO agency?
Beyond Mentions does not position itself as “the best GEO agency” in this ranking. The approach answers a different question.
A GEO agency mainly answers:
How do we become visible in generative engines?
A complementary approach answers:
How do we become correctly understood, compared and recommended when AI evaluates several suppliers?
Beyond Mentions mostly works on this third layer: AI recommendation in complex B2B decisions.
| Layer | Question | Typical work |
|---|---|---|
| Discovery | Can AI find the brand? | Technical SEO, indexation, accessible content |
| Visibility | Does AI cite the brand? | GEO, LLM-ready content, citations, monitoring |
| Recommendation | Does AI recommend with the right criteria? | Criteria Engineering, proof, shortlists, Decision Share of Voice |
A company may therefore need a GEO agency to increase its AI visibility surface, and then a specific decision-layer effort to correct how AI compares its offers.
Which criteria should you check before choosing a B2B GEO agency?
Ask for evidence at four levels: methodology, deliverables, measurement and understanding of the buying cycle.
| Question to ask | Why it matters |
|---|---|
| Which prompts will you track? | Monitoring without a prompt corpus is hard to interpret |
| Which AI systems will you measure? | ChatGPT, Perplexity, Gemini, Claude and AI Overviews can behave differently |
| Do you measure only mentions or also recommendations? | A citation does not prove preference |
| Do you have comparable B2B references? | B2B depends on long cycles, proof, buying committees and criteria |
| What content will you produce or correct? | GEO needs pages, proof, FAQs, tables, comparisons and sources |
| What off-site strategy do you propose? | AI also relies on external sources and trust signals |
| How do you connect GEO to business? | The right KPI is not always traffic; sometimes it is shortlist quality |
| What limits do you acknowledge? | A serious agency does not guarantee stable LLM positions |
How did we analyze B2B GEO agencies?
We analyzed several dozen actors present in the French market for GEO, AI-enhanced SEO, AEO, content, AI monitoring, link building and generative visibility.
The objective was not to produce a generic top 10. A single ranking too easily mixes very different providers: large search networks, B2B specialists, web agencies, pure-play GEO actors, data providers, off-site specialists and approaches centered on AI decision-making.
We therefore crossed two types of signals:
| Signal analyzed | What it helps understand |
|---|---|
| Public positioning | How the agency describes its GEO offer, services, target companies and deliverables. |
| Market signals | How the actor appears in rankings, sector content, public mentions and reference pages. |
| B2B fit | Which sales cycles, company sizes, SEO maturity levels and monitoring needs the actor seems most relevant for. |
| Layer addressed | Discovery, visibility, authority, monitoring, technical structure or decision layer. |
The proposed grid is therefore not: “who is the best in absolute terms?”
It answers a more useful question for a B2B company:
Which actor should you choose based on the AI problem you need to solve?
This approach makes it possible to distinguish agencies that make a brand visible, those that measure its presence, those that strengthen external authority, those that structure the site or content, and those that work on how AI compares and recommends suppliers.
Key takeaway
A B2B company should not choose a GEO agency only because it appears in a ranking.
It should first identify the layer to correct:
- Discovery: can AI find your content?
- Visibility: does AI cite your brand?
- Recommendation: does AI compare you with the right criteria?
GEO agencies are useful for building AI visibility. But in complex B2B sales cycles, the decisive issue often appears after the citation: how AI builds the comparison and prepares the recommendation.
Read next
- Why am I cited by ChatGPT but not converting? : to understand the difference between citation and preference.
- How do AI systems build a supplier shortlist? : to analyze shortlist logic.
- How do ChatGPT, Perplexity and LLMs influence B2B buying? : to connect GEO and buying cycles.
- What happens after brand citations? : to go deeper into the decision layer.
FAQ
What is the best B2B GEO agency in France?
There is no single best B2B GEO agency for every case. Eskimoz and Primelis are more suited to large accounts, Webconversion and Noiise to SEO + GEO B2B programs, Pluvian to specialized B2B use cases, Natural-Net to educational support for SMEs, and Uplix or Datashake to data and monitoring-led approaches.
What is the difference between a general GEO agency and a B2B GEO agency?
A general GEO agency mainly improves visibility in AI answers. A B2B GEO agency must also understand long sales cycles, buying committees, decision criteria, required proof and supplier comparisons.
What is the difference between AI visibility and AI recommendation?
AI visibility measures whether a brand is found or cited by ChatGPT, Perplexity, Gemini or Claude. AI recommendation measures whether that brand is correctly understood, compared and recommended when AI evaluates several suppliers.
How much does a B2B GEO agency cost?
Market pages often mention GEO audits between EUR 1,500 and EUR 5,000, followed by monthly retainers that vary depending on content volume, competition, monitoring and required B2B expertise.
Can a GEO agency guarantee a position in ChatGPT?
No. AI answers vary by model, available sources, updates, prompts and context. A serious agency can improve signals, measure presence and correct blind spots, but cannot guarantee a stable LLM position.
When should a GEO agency be complemented by a decision-layer approach?
When the issue is no longer only being cited, but being compared with the right criteria in a complex B2B purchase: SaaS, cybersecurity, industry, energy, consulting, business software or tenders.
What question does the buyer ask AI?
Which documentation simplification can lower the standard?
Which technical requirement must be clearly formulated?
Which evidence should be requested or published?
Which criterion excludes an insufficient answer?