From visibility to recommendation: mastering Generative Engine Optimization (GEO) to thrive in the age of AI
Introduction: the advent of conversational search
For two decades, search engine optimization (SEO) and paid advertising were the pillars of online visibility. Their logic was simple: optimize pages for higher ranking in search engine results, and get users to click through to your site. This strategy generated a $80 billion industry around SEO[1]. Today, conversational assistants driven by AI models are profoundly changing the way we discover products and services. Instead of typing a few keywords into a search engine, users describe a need or situation to a virtual agent and expect a personalized response. This upheaval heralds the arrival of a new discipline: Generative Engine Optimization (GEO).
GEO aims to “be quoted or recommended by the AI” rather than to appear at the top of a results page. Platforms such as ChatGPT, Gemini and Perplexity rely on a very different corpus of data to produce their recommendations. They draw on comparative lists, recognized databases and authoritative sources to generate responses[2]. Brands that want to remain visible must therefore understand how AI algorithms evaluate them, build their digital authority and adapt their communication to a conversational world.
This article presents the major differences between SEO and GEO, analyzes recent figures on the transition to conversational search, and then details the six pillars of an effective GEO strategy. It draws on studies published in 2025 and 2026 by institutes such as First Page Sage, SE Ranking and IMD. Finally, it offers recommendations for implementing a sustainable and inspiring strategy, emphasizing the importance of collaboration between marketing, public relations and general management.
1. From SEO to GEO: a paradigm shift
1.1 Objectives and success indicators
Traditional SEO aimed to increase organic traffic by improving ranking on search engine results pages (SERPs). Key indicators were positioning, click-through rate and volume of visits. GEO, on the other hand, measures the number of times a piece of content is cited in AI-generated responses, and the frequency with which the brand is mentioned[3]. It’s no longer a question of generating a click to your site, but of becoming a reference in conversational responses.
This distinction has consequences for the notion of conversion: the user sometimes gets all the information in the AI’s response, and no longer needs to visit your site. In some cases, the purchase can even be made via direct integration of the assistant. The success of a GEO strategy is therefore measured in terms of visibility in responses and brand awareness, rather than traffic.
1.2 Optimization methods
SEO relied on technical factors (loading speed, mobile compatibility, meta tags), keyword optimization and link building from reputable sites. GEO favors rich, structured content written in natural language, incorporating information that can be verified and cited by AI[4]. E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) authority signals become central.
AI platforms also use data from knowledge bases such as Wikipedia, Bloomberg or Encyclopedia Britannica[5]. For a company to be recommended, it must therefore be present in these resources, maintain up-to-date information and promote its certifications and distinctions. Finally, GEO pays particular attention to content clarity and the use of structured data (schema.org) so that AI can easily extract facts.
1.3 User experience and pathways
In SEO, the user journey was linear: the user clicks on a link, visits the site and performs an action. With GEO, the user interacts with a conversational agent who can sometimes finalize the purchase without redirecting the surfer[6]. Companies therefore need to consider how to make their offers accessible via APIs or catalogs, so that assistants can integrate their products into responses.
Table 1: SEO vs GEO (summary)
| Dimension | Traditional SEO | Generative Engine Optimization (GEO) |
| Main objective | Improve SERP ranking | Be quoted in AI-generated responses |
| Key metrics | Position, click-through rate, traffic | Citation frequency, share of voice |
| Areas of optimization | Keywords, backlinks, speed | Content clarity, E-E-A-T signals, structured data |
| Content strategy | Search engine optimized articles | Complete answers, comparisons, statistics |
| Authority building | Link acquisition | Listing in official databases and directories |
| User path | Click → browse → convert | Dialogue with AI → recommendation → eventual conversion |
2. Why GEO is becoming essential: key figures
Several studies point to the rapid growth of AI-generated traffic. According to IMD research published in November 2025, traffic from AI services has increased sevenfold since 2024, although it still only represents 0.15% of global internet traffic[7]. Adobe observed that AI-derived visits to retail sites in the US increased twelvefold between July 2024 and February 2025[7]. The most enthusiastic users are rapidly adopting these assistants: a third already claim to be using AI to find products rather than traditional search engines[7].
A study published in August 2025 by SE Ranking measures the share of traffic generated by different AI platforms. It shows that ChatGPT accounts for around 80% of AI traffic, Perplexity 15%, Gemini 6.4%, DeepSeek 0.37% and Claude 0.17%[8]. Session durations differ: visitors sent by ChatGPT stay on the sites for an average of 10 minutes, those from Perplexity 9 minutes and those from Gemini 6-7 minutes[9]. Although volume remains low, engagement is often higher than that of organic traffic.
These figures show that GEO represents a major challenge for brands. The platforms that will dominate conversational search in the next few years are not necessarily the same as those that dominate traditional search. What’s more, the rapid growth of AI traffic means that we need to act now if we don’t want to be relegated to the sidelines of the responses generated.
3. The six pillars of an effective GEO strategy
Research conducted by First Page Sage in 2024-2025 has produced six recommendations for maximizing the likelihood of a company being recommended by a conversational assistant[10]. These recommendations take up several SEO practices while incorporating AI-specific elements.
3.1 Ensuring your presence in quality comparative listings
Analysis shows that most assistants generate recommendations based on comparative lists published on sites that feature prominently in Google or Bing results[11]. These lists are not superficial “listicles”, but comparative tables that evaluate products or services according to precise criteria (price, functionality, customer reviews) and segment by use case[12]. To be cited, it is essential to appear in these lists, either by producing your own comparisons and including yourself in them, or by paying to be added by review sites.
This strategy requires you to create quality content, obtain backlinks and optimize your site’s authority so that these listings are well positioned. It also involves regularly updating comparisons to keep them relevant to AI models.
3.2 A presence in recognized directories and databases
The formation of large language models relies on corpora including encyclopedias and databases such as Encyclopedia Britannica, Wikipedia, Hoovers or Bloomberg[5]. Listing in these directories increases the likelihood of the company being included in the AI corpus. For Claude AI, whose algorithm relies less on the consumer web and more on validated documents, this presence is even essential[5].
In concrete terms, this means creating or updating your Wikipedia page, registering in professional directories and entering your data in sector-specific registers (Bloomberg for listed companies, Crunchbase for start-ups, etc.). The accuracy, transparency and regulatory compliance of these records are essential to enhance credibility.
3.3 Celebrating successes and awards
Conversational assistants don’t just list companies; they rank them according to their reputation. Research by First Page Sage shows that, in response to questions such as “Which are the best software development agencies?”, the order of recommendation depended on criteria such as size, number of customers and usage statistics[13]. Publishing your successes – sales growth, certifications, awards won, customer case studies – in descriptions submitted to directories and the media helps improve your position.
This approach is akin to relationship marketing: major acquisitions, fund-raisings, partnerships and other successes must be communicated in a measured but regular fashion, targeting the media and directories consulted by AIs. Awards (innovation prizes, industry certifications) serve as proof of authority.
3.4 Cultivating positive customer reviews
Consensus has been reached on the importance of reviews: a rating of less than 3.5 out of 5 greatly reduces the probability of being recommended[14]. Reviews do not directly increase the probability of being mentioned, but they are a prerequisite. The company should set up a system for collecting reviews after every successful sale or interaction. Encouraging satisfied customers to post a review on specialized platforms (Google Business, G2, Trustpilot, etc.) reinforces brand image.
This policy also requires careful management of negative reviews: responding with empathy, correcting problems and publicly demonstrating how the company learns from its mistakes. Good online reputation management influences the authority score perceived by AI.
3.5 Monitor and improve social sentiment
Social sentiment is the overall impression Internet users have of a brand. It is measured by tracking mentions on networks and analyzing the tone of messages[15]. Today, only certain AIs such as ChatGPT exploit these signals, and to a small degree, but their importance is likely to grow as social data access agreements develop[15].
Intelligence tools exist to monitor this sentiment and identify trends. The company needs to work with its customer service department to respond quickly to dissatisfaction and amplify positive messages. In the long term, a brand that is loved and respected naturally improves its likelihood of being recommended.
3.6 Increase the authority of your website
AIs still rely on authority scores from Google and other engines to identify reliable sources. Google assigns an “authority score” to each page based on its popularity and backlinks from reputable domains[16]. Obtaining a high score means regularly producing original content and acquiring links from reference sites.
Experts recommend publishing weekly content alternating between comparative articles and “metric articles” that provide original statistics or quantitative research[17]. This research can come from sponsored surveys or the aggregation of public data. The important thing is to generate unique information that the AI can quote.
4. Implementing a GEO strategy: best practices
4.1 Define objectives in line with management objectives
GEO affects a company’s reputation and visibility. It is therefore essential to set clear objectives in agreement with management: to increase brand awareness in the responses generated, to increase citation frequency in specific fields, or to become the benchmark in a market segment. Committed leadership makes it possible to devote the necessary resources (time, budget, expertise).
4.2 Content audit and preparation
Before producing new content, it’s a good idea to carry out an SEO/GEO audit: which pages on your site are already cited by AIs? What comparative lists does your company appear in? Which databases mention your brand? This diagnosis helps identify gaps and opportunities.
Next, organize the production of comparative and informative content. Each article should :
- Provide a complete, structured answer to a specific question.
- Cite reliable sources, studies and figures (such as those presented in this article)[18].
- Use data schemas (schema.org) to mark key information (prices, features, reviews).
- Include quotes from experts and customer testimonials, as suggested by some researchers.
- Be regularly updated to keep AIs up to date.
4.3 Collaboration between marketing, public relations and data
A successful GEO strategy requires a cross-functional approach:
- Marketing and content: write comparisons, coordinate publications and manage customer reviews.
- Public relations: identify relevant directories, issue award press releases and manage media relations.
- Team data: measures AI citation frequency, tracks social sentiment and identifies conversational keywords.
- Management: defines strategic priorities and allocates resources.
This collaboration enables us to align our corporate communications with the new requirements of generative engines.
4.4 Continuous measurement and adjustment
Like any marketing strategy, GEO needs to be measured and adjusted. Indicators to track include:
- Number of comparative lists in which the company appears.
- Number of quotes from the main assistants (ChatGPT, Gemini, Perplexity, etc.).
- Site authority score and evolution of backlinks.
- Evolution of social sentiment and customer reviews.
- Traffic and conversions generated by AI platforms.
Specialized analysis tools or AI APIs will enable this data to be collected. It is advisable to schedule quarterly reviews to adjust strategy according to results and algorithm developments.
5. Outlook: towards the integration of AI in all business lines
The rise of GEO is not limited to marketing. It foreshadows a broader transformation: the integration of intelligent assistants into supply chains, customer relations and product design. Companies pioneering GEO are developing APIs that enable assistants to check stock in real time, reserve a product or schedule a service. They are preparing for conversation to become a universal interface.
Moreover, the rise of GEO raises ethical questions: how can we guarantee that AIs recommend products impartially? What biases can influence algorithms? Companies will need to work with model publishers to ensure transparency and defend fairness.
Finally, GEO doesn’t replace SEO, it adds to it. While SEO continues to generate the lion’s share of traffic (48.5% of global traffic according to SE Ranking), the integration of the two approaches is essential. The key to success lies in diversifying acquisition channels and adapting quickly to change.
Conclusion: adopt a pioneering mentality
Generative Engine Optimization is not a passing fad; it marks a profound evolution in the way consumers search for information and make decisions. Tomorrow’s successful leaders will be those who understand that visibility is no longer a matter of a few keywords, but of an omnipresent presence in the responses of intelligent assistants. By investing now in the six pillars presented – quality comparisons, directories, success stories, customer reviews, social sentiment and web authority – companies will be at the forefront of this revolution.
GEO requires rigor and creativity. It requires the production of rich, reliable content, the cultivation of a solid reputation and the measurement of new indicators. It also encourages us to rethink our internal organization to integrate AI and data skills. By adopting a pioneering mentality and drawing on advice from recent research, companies can turn this challenge into an opportunity and build brands that count in tomorrow’s conversational world.
Resources :
[1] [3] [4] [6] [7] Generative Engine Optimization – SEO industry – I by IMD
https://www.imd.org/ibyimd/artificial-intelligence/generative-engine-optimization/
[2] [5] [10] [11] [12] [13] [14] [15] [16] [17] [18] [19] First Page Sage
[8] [9] [20] AI Traffic in 2025: Comparing ChatGPT, Perplexity & Other Top Platforms
https://seranking.com/blog/ai-traffic-research-study/
