✦ Key takeaway
Training a team in GEO means choosing between upskilling in-house, hiring a dedicated profile, or outsourcing, so brand content gets cited more often by LLMs.
Key skills:
- Citable structuring and entities: writing clear definitions, reasoning in entities rather than keywords, strengthening topical authority.
Comparing the options:
- Training in-house: capitalizes on existing brand knowledge at moderate cost, but rolls out gradually over several months.
- Hiring: immediate expertise but a high fixed cost, hard to justify without proven impact.
- Outsourcing: quick access to proven expertise, at the cost of dependency on the provider.
Hybrid approach:
- Tool-assisted internal leadership: the team keeps strategic control while relying on Search Ai for visibility data.
Most teams have mastered traditional SEO. The basics are in place, processes are refined, and results are measurable. But a new challenge is emerging in the digital landscape: Generative Engine Optimization, or GEO. This field directly concerns the brand, marketing team, copywriters, and SEO professionals. The question is no longer whether GEO deserves attention, but how to organize your skills development around this topic.
Should you train for GEO internally, hire a dedicated profile, or entrust the project to an external provider? Each option has its advantages and limitations. To clarify, let’s start by mapping out what GEO expertise really entails, then compare the three possible paths before exploring the concrete benefits of a tool like Search Ai in a hybrid approach.
What GEO skills really encompass, beyond traditional SEO ?
Traditional SEO relies on well-documented mechanics: optimizing a page for a search engine, working with keywords, building backlinks. GEO, however, requires understanding how a language model (LLM) selects, prioritizes, and reformulates its sources to produce a generative answer. It’s a paradigm shift. Content must not only be found, but also cited.
Training for GEO therefore means acquiring a set of specific skills, spanning both writing and strategy:
- Understanding how an LLM identifies a reliable source and decides to include it in its responses.
- Structuring content to make it easily citable: clear sentences, explicit definitions, logically organized data.
- Thinking in terms of entities rather than just keywords, leveraging semantic relationships between concepts.
- Strengthening the brand’s thematic authority signals on a given topic through editorial consistency and depth of coverage.
- Analyzing the brand’s visibility in generative AI responses, not just in traditional search results pages.
- Mastering tagging and structuring techniques adapted to new automated reading formats.
These skills do not replace SEO. They complement it. A writer who knows how to write for Google does not necessarily know how to write for ChatGPT or Perplexity. The logic is different, and training must reflect this distinction.
Train, hire, or outsource: comparing the three options.
Before deciding, keep in mind that this choice doesn’t concern just one position. It affects the whole team: marketing, SEO, writing. GEO is not an isolated profession; it’s a layer of skills that overlays existing practices. Here’s a comparative table of the three possible paths.
Criteria | Train the existing team | Hire a dedicated specialist | Outsource |
Cost | Moderate (training, monitoring) | High (fixed salary) | Variable (service fee) |
Implementation Time | Gradual (several months) | Fast if the right profile is found | Fast |
Available Expertise | Grows over time | Immediate and specialized | Immediate but external |
Brand Knowledge | Strong | To be built | Weak at first |
Long-term Autonomy | Strong | Strong | Limited |
Training the existing team.
This is the option that best capitalizes on the team’s existing brand knowledge. Writers know the tone, the SEO team understands performance data, and marketing grasps engagement issues. Training for GEO internally means grafting new practices onto a solid foundation.
The downside: it takes time. A comprehensive educational action plan cannot be rolled out in a single session. You need a structured training path, regular practical workshops, and above all, ongoing investment in monitoring. GEO evolves quickly, and training programs must keep up. This option suits teams able to absorb a gradual workload without sacrificing their daily tasks.
Hiring a dedicated specialist.
A professional specialized in GEO brings sharp, immediately operational expertise. This profession is just emerging, but some consultants have already developed strategies adapted to generative engines. The advantage is clear: no learning curve for the team, the new hire takes charge of the project.
The challenge lies in the fixed cost. As long as GEO has not demonstrated a measurable impact on the brand, justifying a dedicated hire remains a delicate exercise with management. This option is suitable for organizations with an already approved budget and strong executive commitment to the topic.
Outsourcing to a provider.
Outsourcing provides quick access to proven expertise. A specialized provider has tried-and-tested programs, techniques from varied projects, and can offer an initial audit session in just a few days. For teams wanting to start quickly without hiring, it’s often the most practical choice.
But this option creates dependency. The provider does not know the internal context as intimately as an employee. The proposed strategies may lack nuance regarding the brand’s specifics. And if the relationship ends, the knowledge leaves with the provider. It’s a good way to start, but rarely a sustainable solution on its own.
The hybrid approach: The most realistic path for most teams.
In practice, few organizations can afford to rely solely on one option. The most realistic approach combines internal training and technological support. The principle: let the team that knows the brand drive the strategy, while relying on a comprehensive tool capable of providing the necessary data and recommendations.
This is precisely what Search Ai offers. Rather than replacing human expertise, this tool allows the internal team to consult visibility data in AI responses, identify sources cited by LLMs, and optimize content accordingly. The goal is concrete: to ensure the brand is cited more often by generative AIs. This requires regular work on content structuring, strengthening thematic authority, and tracking mentions in generative engine responses. Search Ai provides the data; the internal team makes the decisions.
Training for GEO internally while using a dedicated tool also means building a learning path rooted in real-world scenarios. Team members develop skills on concrete cases drawn from their own market’s geographic information, rather than on disconnected theoretical exercises. Training becomes a living project, fueled by real data and observable results.
This hybrid approach does not exclude occasionally bringing in a provider for an initial training session or audit. It simply places the center of gravity where it belongs: within the team, with the right tools to move forward. Geographic information on the brand’s presence in AI responses then becomes a management indicator, just like classic SEO positioning.
Frequently Asked Questions
Do you need to master SEO before training for GEO ?
Yes, SEO remains the foundation. GEO techniques build on fundamentals such as semantic structuring, domain authority, and editorial quality. A team that has not yet mastered SEO will struggle to effectively integrate GEO strategies.
How long does it take to train a team in GEO ?
It depends on the starting level. For an experienced SEO team, a few weeks of targeted educational training are enough to lay the groundwork. Full skills development, however, takes several months, as GEO evolves with LLM updates. Training programs should include regular monitoring sessions.
What tools should you use to get started with GEO ? Search Ai is among the tools suited for analyzing a brand’s presence in generative
Search Ai is among the tools suited for analyzing a brand’s presence in generative responses. It allows you to track citations, identify the content best referenced by AIs, and prioritize actions. It’s a practical starting point for any team ready to take action without delay.
Does GEO replace SEO ?
No. GEO complements SEO. Both disciplines share fundamentals (content quality, thematic relevance, technical structure) but respond to different source logics. A classic engine indexes and ranks pages. A generative engine synthesizes and cites. Working on both in parallel remains the most robust strategy.
Can you outsource GEO and then bring it back in-house ?
This is actually a common approach. Outsourcing the initial phase provides immediate expertise, structures an action plan, and gradually trains the internal team. The ultimate goal remains autonomy: for your business team to be able to manage its GEO strategy with the right tools, without prolonged external dependence.
About the author

Antonia
R&D & IA, CPO Search Ai
Antonia is Chief Product Officer (CPO) of Search Ai, a Generative Engine Optimization (GEO) platform for measuring, managing, and optimizing brand visibility on generative AI engines such as ChatGPT, Gemini, Perplexity, ... With over 10 years of experience as an R&D engineer, she continues to work at the intersection of R&D and business, transforming AI advancements into concrete functionalities for marketing teams.
