AI and GEO on Journal Marketing

Best GEO and AI Overviews agencies in 2026: the ranking

Fri, 24 Jul 2026 15:00:00 +0200

In short:

AI Overviews now appear on most informational queries in France: being cited by AI has become an acquisition channel in its own right.

Seven agencies stand out in 2026: datashake, Peak Ace, Semji, Eskimoz, Noiise, SmartKeyword and Jloo.

No serious agency guarantees a spot in AI Overviews: beware of firm promises on an outcome only Google controls.

GEO (Generative Engine Optimization) has gone from niche concept to budget line in two years. But the agency market remains young and uneven, with huge expertise gaps. Here are the seven French players that have genuinely structured an optimization offer for Google’s AI Overviews and generative engines in 2026.

How to Appear in ChatGPT: Techniques That Work

Fri, 24 Jul 2026 13:00:00 +0200

In short:

ChatGPT has over 200 million active users each week and has become an essential acquisition channel for website owners.

Being visible in ChatGPT responses relies on optimization for generative engines, called GEO, which differs fundamentally from traditional SEO.

The combination of structured content, authority signals, and presence on Bing (the engine ChatGPT uses for real-time search) is the most effective approach to being regularly cited as a source.

Why ChatGPT Became a Strategic Priority

Visibility on generative search engines is no longer a marginal trend. ChatGPT has transformed how users seek information, replacing simple search result lists with synthesized answers in real time. For any website owner, the challenge is no longer just ranking on the first page of Google, but being selected as a trusted source by the AI.

GEO: definition and guide to Generative Engine Optimization

Fri, 24 Jul 2026 11:00:00 +0200

In short:

GEO (Generative Engine Optimization) is the discipline of optimizing content to be cited by AI engines: AI Overviews, ChatGPT, Perplexity, Gemini.

It complements SEO without replacing it: same foundations, but citation criteria differ from ranking factors.

Academic work (Princeton, Georgia Tech) measures up to 40% additional visibility in generative answers for optimized content.

A growing share of purchase decisions now starts with a question asked to an AI, not with ten blue links. GEO, Generative Engine Optimization, is marketers’ answer to that shift: making your brand a source generative engines choose to cite.

Perplexity, ChatGPT, AI Mode: Comparing Generative Search Engines

Fri, 24 Jul 2026 10:00:00 +0200

In short:

Three players dominate generative search: Google AI Overviews (formerly SGE) relies on its existing index, Perplexity emphasizes explicit numbered citations, and ChatGPT accesses Bing to enrich answers in real time.

Each engine prioritizes distinct criteria: structured data for Google, factual sourced content for Perplexity, depth and clarity for ChatGPT.

A universal strategy founded on content quality, E-E-A-T, and multi-platform indexing outperforms engine-specific optimization.

The Transformation of Search

Generative search engines are reshaping how users find information. Rather than traditional blue-link lists, they synthesize and personalize responses. This shift requires publishers and marketers to understand how each AI platform actually works and which criteria influence its source selection.

AI Overviews: how brands get cited

Wed, 22 Jul 2026 00:00:00 +0000

In short:

AI Overviews appear on nearly 30% of informational queries in France.

Content structured as questions and answers gets cited twice as often.

Source authority matters more than classic organic position.

A brand cited in the AI answer captures attention before the first blue link.

Visibility is no longer decided in the ten blue links alone. Google’s AI Overviews compose a direct, sourced answer, placed above everything else. Getting cited in that answer has become a goal in itself.

ChatGPT Search or Perplexity: where to play your visibility

Wed, 15 Jul 2026 00:00:00 +0000

In short:

Perplexity systematically cites its sources, ChatGPT Search more selectively.

Both engines overweight Reddit and specialized media.

The winning strategy covers both with a common content base.

Two engines, two citation logics. Understanding their differences avoids scattering your GEO efforts.

llms.txt: gadget or tomorrow's standard?

Tue, 30 Jun 2026 00:00:00 +0000

In short:

llms.txt is a Markdown file at the site root that points AI models to key content.

Adoption is growing among documentation publishers and SaaS.

No engine officially commits to reading it, but its cost is near zero.

After robots.txt and sitemap.xml, here comes llms.txt. A text file describing the site to language models.