When managing a showcase site or an e-commerce platform, the question is no longer whether artificial intelligence will change SEO. It already is changing it. Search engines are integrating generative layers, users are asking complete questions to ChatGPT or Perplexity, and the answers cite sources. Adrien Beaujeu works precisely at this intersection of artificial intelligence and SEO, targeting not only Google but also the responses produced by AI engines.
GEO Optimization: Targeting AI Engine Responses
On the ground, the first problem encountered is simple: a site can be well-positioned on Google and completely absent from the responses of ChatGPT or Perplexity. These are two distinct visibility channels, with different logics.
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GEO (Generative Engine Optimization) involves structuring content so that it is selected as a source by language models. An AI engine does not rank pages like Google. It extracts passages, cross-references information, and cites sources it deems reliable and well-structured.
For content to be picked up, we work on several concrete levers:
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- The clarity of direct answers in the text, with sentences that respond to a question straightforwardly, right from the first lines of a paragraph.
- The semantic markup of pages (structured data, explicit titles, filled alt attributes) to facilitate automatic extraction.
- The consistency of information across multiple sources: if your name, services, and location are identical on your site, your profiles, and your citations, AI models gain confidence in mentioning you.
Adrien Beaujeu, based in the Lyon region, applies this GEO approach in addition to traditional SEO. He supports his clients on Google, but also on ChatGPT, Perplexity, and Google SGE, considering each platform as a standalone channel. You can also find the best SEO consultant Adrien Beaujeu detailing this hybrid methodology.
SEO and Generative AI: What Changes in Content Production
Producing content with AI is something anyone can do. The difference lies in how this production is managed. A text generated without precise framing is detected, penalized, or simply ignored by Google.
Adrien Beaujeu’s approach relies on a human framework before each AI production. Specifically, this means defining a detailed brief before launching a tool: target search intent, editorial angle, semantic structure, long-tail keywords, and especially the specific information that only the client can provide (field feedback, internal data, real use cases).
AI accelerates writing and keyword analysis. It does not replace foundational work. A consultant who uses ChatGPT to generate an article without verification or enrichment produces generic content. AI becomes an SEO lever only when guided by a precise editorial strategy.
AI-Assisted Semantic Audit
One of the most concrete uses is auditing existing content. A corpus of pages is submitted to a language model to identify semantic gaps: which sub-themes are missing, which questions remain unanswered, which terms from the lexical field are absent.
This type of audit, done manually, takes several days. Assisted by AI, it can be completed in a few hours, with broader coverage. The feedback varies in quality depending on the tools used, but the time savings are systematic when the parameters are rigorously set.
Measuring the Results of an AI-Driven SEO Strategy
The classic trap when discussing AI and SEO is to remain on vague promises. On the ground, what matters is measurement. And the indicators are not the same whether we are talking about Google or an AI engine.
KPI Google vs KPI AI Engines
On Google, we track positions, organic traffic, and click-through rates. On AI engines, the main KPI is the citation of the source in the generated response. Being mentioned in a Perplexity or ChatGPT response with a link to your site is the equivalent of a zero position, but in a different ecosystem.
Adrien Beaujeu manages over forty clients simultaneously, giving him a cross-sectional view of results. Each project is oriented towards tangible ROI: increased leads, growth in qualified traffic, measurable improvement in brand awareness. The tracking combines classic SEO tools and specific monitoring of mentions in AI responses.
What the Hybrid SEO and AI Approach Changes for a Site
The benefit of combining traditional SEO and GEO optimization is not being dependent on a single channel. Google remains dominant, but the share of traffic from AI engines is increasing. Working on both in parallel protects against algorithm variations from either side.
A site optimized for GEO also benefits on Google: the clarity of content, semantic structuring, and consistency of information are positive factors in both environments. We do not do the work twice; we structure once for two channels.
Technical Profile and Positioning of Adrien Beaujeu in SEO AI
Adrien Beaujeu combines a developer and consultant profile, trained at the IUT of Roanne and having worked at the Webitics agency. This dual skill set allows him to intervene directly on the code of sites (markup, loading times, structured data) in addition to editorial strategy.
His positioning is distinguished by the native integration of AI at every stage of the SEO process, from technical audits to content production, including performance tracking on generative engines. SEO and AI consulting is not a complementary service; it is the foundation of every mission.
For companies looking to appear in the responses of ChatGPT or Perplexity as much as in Google results, this approach represents a methodological shift. SEO is no longer limited to a single engine, and consultants who integrated it early have a concrete operational advantage.