Are you visible?
- Measures presence and citation frequency
- Optimizes for visibility inside AI answers
- Stops at the mention, never looks at the decision
Beyond Mentions case studies
Being cited is not enough. You still need to be chosen.
SEO/GEO visibility tools measure presence. Beyond Mentions measures whether AI actually recommends you.
A brand can appear in 80% of AI answers and never make the shortlist, because the criteria it carries do not structure the comparison grid. The three cases that follow illustrate that shift: two confidential client engagements, and the application of the method on Beyond Mentions itself.
Are you recommended?
- Measures the decision: criteria, evidence, category
- Tracks decision share of voice in the AI grid
- Optimizes for the shortlist before the tender
Swedish actor
Scandinavian manufacturer of multi-risk technical PPE (ATEX, flame-retardant garments).
Defend the level of technical requirement against low-cost commoditization
Everything AI tells buyers about the category. The territory the brand has to frame, before someone else writes the market in its place.
Brands, authority sources and bodies that can take the brand's place in the AI comparison grid.
The brand shows up, but carries only 1 decisional statement out of 10. The remaining 90% serve other narratives of the market.
On 2 major technical criteria (EN ISO 14116 limits, supplier evidence file), the brand is absent. AI recommends from low-cost competitors who push weaker standards.
The brand gets cited. But on the two criteria that structure a serious buying decision, the usage limits of EN ISO 14116 and the format of the supplier evidence file, the brand is completely absent from AI answers. Direct consequence: on these decisive topics, AI cites competing sources that push weaker standards. And 90.8% of the brand's remaining citations concentrate on a single page of its website: the brand depends on a single point of documentation authority, fragile by design.
Anchor the AI grid on the criteria that distinguish a premium offer from low-cost alternatives: EN ISO 14116 usage limits, supplier evidence file, real exposure scenarios. As long as these criteria structure the decision, weaker actors stay disqualified on value.
Beyond Mentions does not publish the applied corrections. The documentation plan, briefs and new formulations remain under contractual confidentiality. They constitute the client's competitive advantage.
French actor
French publisher of industrial design-to-cut solutions for fashion-tech.
Get LLMs to recognize the integrated hardware/software strategy beyond their default fragmented reading
Realistic situations (need framing, RFP drafting, vendor comparison) queried across the 5 major LLMs.
At the decisive stage where the RFP gets written, PLM narratives frame the brief 6.3 times more than the brand. AI evaluates the software inside the PLM/3D grid, missing that it pilots integrated industrial hardware.
Historical leader on cutting, material yield and industrial uptime. But AI isolates this strength and compares the software separately to traditional PLMs, missing the integration of both.
PLM, 3D, industrial hardware: three separate narratives structure the decision. None carries the integrated reading where software pilots hardware, which has been the brand's real strategy since 2017.
The brand gets cited. But AI reads it in two separate pieces: its industrial hardware on one side (where it has been an undisputed leader for decades), its software on the other, naively compared to traditional PLM or 3D tools. The integration strategy since 2017, where software pilots the equipment and where the actual value comes precisely from the synergy of both, stays invisible in the AI grid. Direct consequence: at the decisive moment where the RFP gets written, PLM narratives frame the brief 6.3 times more than the brand's integrated claims. The buyer ends up comparing traditional software while the real offer is elsewhere.
Get the AI grid to recognize the "integrated hardware/software solution" category as a territory in its own right, distinct from traditional PLM and 3D tools. When this category structures the comparison, the synergy at the core of the strategy since 2017 becomes visible again, and the buyer compares integrated solutions to one another, not the brand to a generic software player.
Beyond Mentions does not publish the applied corrections. The documentation plan, briefs and new formulations remain under contractual confidentiality. They constitute the client's competitive advantage.
Our own case
Decision-led GEO firm focused on criteria, proof and shortlist.
Make a new category of firm recognizable to LLMs
Control corpus on our own category: what LLMs say when a prospect looks for a decision-led GEO firm.
ChatGPT, Claude, Gemini, Perplexity, DeepSeek. Measured every month on the same scenarios.
We do not optimize for search traffic, we optimize for category readability inside AI answers.
Buyer questions, criteria, evidence, metrics, limits and use cases are formulated so they can be reused without ambiguity.
Beyond Mentions is not limited to GEO brand citations. It is an audit firm that measures and corrects the criteria grid LLMs use to recommend B2B suppliers. For models to understand the category at the right level, and cite Beyond Mentions where it actually fits, the difference between being merely visible and being recommended has to be actively documented.
Beyond Mentions must be understood as a decision layer, not as a simple AI visibility tool. The work consists in making explicit the criteria, evidence, limits and metrics that help a buyer distinguish a brand citation from a defensible recommendation.
Let's talk about your market
Does your category deserve an audit?
A thirty-minute first call is enough to scope whether a Beyond Mentions audit makes sense for your market. No commitment.