Why the volume of prompts is not enough to build a GEO strategy
Generative Engine Optimization (GEO) is becoming an essential discipline for companies wishing to appear in responses generated by AIs such as ChatGPT, Bing Copilot or Gemini. While traditional search engine optimization (SEO) is measured in terms of positions on results pages, the aim of GEO is to be cited and recommended by conversational models. Many organizations think that identifying the most frequent “prompts” is enough to guide their strategy. However, this approach is illusory: the volume of prompts reflects neither user intent nor the way in which AIs construct their responses. This first article explains why the obsession with query volumes is a trap, and suggests ways to build a genuine GEO strategy.
Prompt volume data limits
Generative engines don’t offer search statistics like Google. Tools that claim to provide prompt volumes are based on estimates derived from surveys or forum scraping. These figures are unreliable, as they are not based on real user data and do not take into account the non-determinism of AIs. Each time it is run, the same prompt may produce a different result. Furthermore, the most frequent queries are often exploratory (tool testing, general questions) and do not represent a deep commercial or informational interest.
According to a study cited by Online Presence, queries such as “how to use ChatGPT” or “explain quantum computing” generate high volume, but the expected responses are generic. By focusing on these requests, a brand runs the risk of producing superficial content that doesn’t enhance its credibility. What’s more, models are constantly being updated: today’s popular topics will disappear tomorrow, making investments based on prompt volume obsolete.
The risk of a query-driven strategy
Designing your GEO strategy around lists of prompts leads to fragmented production and diluted authority. Brands find themselves creating one page or article per query, adopting a “one prompt – one page” logic similar to the bad SEO practices of yesteryear. This approach fragments information and prevents the construction of a structured, in-depth vision of a subject. Worse still, it encourages the use of different synonyms or variants of terms in an attempt to cover all queries. Templates, on the other hand, assess overall consistency and quality: they favor sources that structure information with clear sections, logical meshing and coherent definitions.
Measuring what really matters: GEO indicators
The success of a GEO strategy is measured first and foremost by the recognition of authority: the appearance of your company name or products in the responses generated, the inclusion of your brand in the AI insights of tools like Perplexity or Neeva, or the consistency of your entities (people, companies, concepts) across the various prompts. These indicators are more qualitative than quantitative. They reflect the trust placed in you by AI and the perception of your expertise.
| Criteria | Volume of prompts | Authority indicators |
|---|---|---|
| Source | Estimates from non-public research or surveys | Observation of AI responses, analysis of mentions |
| Reliability | Low and fluctuating | High (based on actual responses) |
| Representation of intent | Often exploratory, little value | Reflects the integration of your brand in relevant contexts |
| Strategic utility | Risk of content fragmentation | Helps build an expert identity |
| Temporality | Evolves rapidly (ephemeral subjects) | Long-term |
Building a credible GEO strategy
To appear in the responses of a generative model, you need to produce structured, consistent and verifiable content. Here are a few best practices recommended by GEO specialists:
- Building intent clusters. Instead of focusing on isolated queries, identify central themes related to your business and group related questions together. For example, a real estate agency might create a comprehensive guide to “buying an apartment in Berlin”, including sections on financing, the local market and administrative procedures. This clustered approach shows the AI that you master a subject in its entirety.
- Structuring information. Use clear markup (H1, H2, H3), contextualizing introductions, short paragraphs and a logical thread. Templates evaluate structure and readability. Well-organized content with explicit headings and a summary at the beginning of the article helps AI to understand the hierarchy of ideas.
- Terminological consistency and entity relationships. Define your key terms clearly and use them consistently. If you use the phrase “zero-interest loan”, don’t alternate it with “zero percent loans” in another article. AIs use entity graphs; consistency strengthens your relationships and reliability.
- Aligning SEO, AEO and GEO. SEO remains the basis. Content that is well referenced on Google is easier to discover and verify by AI. Answer Engine Optimization (AEO) seeks to optimize the chances of being selected by voice assistants or enriched SERPs. GEO extends this logic to generative AI, but does not replace it.
- Cultivating authority. Regularly publish in-depth analyses, studies, white papers, content that demonstrates your expertise. Participate in reference publications or obtain authoritative links. AIs learn from sources they consider reliable and comprehensive.
| Action | Desired effect | Explanation |
|---|---|---|
| Update your existing content to adapt it to GEO | Improve consistency and integration | Use explanatory introductions, summary sections, FAQs to guide AI |
| Analyze AI responses | Identify gaps and opportunities | Type in key questions and see which sources are cited; if your brand is missing, reinforce your content |
| Use structured data (schema.org) | Facilitate indexing by AI | Metadata enhances understanding of entities (products, people, organizations) |
| Create multilingual publications | Extend coverage | Multilingual models are trained on a variety of corpuses; offering content in both English and French increases your chances of being cited. |
| Join forces with other experts | Enhance credibility | Publish interviews, co-write studies – AI adds value to cross-sources |
Towards a sustainable strategy
The volume of prompts can provide a general indication of the topics that interest users, but it’s not enough to build a GEO strategy. Companies need to take a long-term view, focusing on intent, consistency and quality. Authority indicators (mentions, participation in generative responses, entity consistency) and solid content architecture are far more effective levers for becoming a trusted source in the eyes of conversational models. By combining SEO, AEO and GEO, you’ll increase your visibility across all channels and establish your brand as an essential reference in your field.
