FERMÀT Launches AI Search Commerce Engine as Retailers Confront a New Discovery Landscape
FERMÀT Commerce introduced its AI Search Commerce Engine today, marking a shift in how retail brands prepare for product discovery. AI assistants such as ChatGPT, Claude, and Gemini now influence how shoppers learn about items before they ever reach a website. Search engines used to set the pace. Today, AI tools are quietly guiding the first conversation a consumer has with a product. Brands must adapt, and they must do it sooner rather than later.
Why AI Assistants Are Reshaping Product Discovery
Consumers trust AI assistants because they respond quickly and explain choices in everyday language. Buyers ask for the best moisturizer, healthiest snack, longest-lasting detergent, or most reliable vacuum. Instead of sifting through pages of ads and blue links, they get a single, direct explanation. That creates a new type of competition. Brands are not fighting for ten positions on a page anymore. They’re fighting for one mention inside a conversational answer.
The funnel compresses in seconds. Discovery, comparison, and recommendation happen all at once. A customer who starts by asking a simple question ends up with a product suggestion before they know it. Retailers lose the opportunity to influence early steps of the decision process, because there are no early steps anymore. Everything happens inside one response from a model.
My own analytics review for clients shows this shift clearly. Search impressions stay high, but clicks fall. Traffic that used to arrive from informational queries doesn’t reach the website. It stops inside the AI assistant’s answer. This is the moment when brands realize that their content is missing from the conversation that matters most.
Where Current Monitoring Tools Fall Short
Many tools now claim to detect brand mentions inside AI answers. Some even promise dashboards showing visibility scores for ChatGPT or Claude. Retailers often ask me if these tools are reliable. They aren’t. At least not yet. AI models generate fresh responses every time. A question asked at 9 a.m. may produce a completely different answer at 9:01 a.m. That alone makes automated tracking unreliable.
These tools attempt to scrape what they see on the screen. That means they track a moving target. No standardized logs exist. No API exists. AI assistants rarely provide citations. Even when they do, the citations change from run to run. A retailer might see their product mentioned once and believe visibility exists, only for it to vanish the next time. The industry is simply too early in development for accurate monitoring.
That’s where FERMÀT attempts a different approach. Instead of trying to monitor guesswork inside an unpredictable system, they focus on producing material that AI assistants prefer to reference. First-party, shoppable content structured in a way that makes more sense to these models.
How FERMÀT’s Engine Approaches AI Discovery
Identifying Prompts That Guide Purchase Intent
The engine begins by identifying prompts that drive product interest. It uses SEO data, customer reviews, catalog details, and broader marketing signals. This identifies the actual questions shoppers ask. Brands usually assume they know their top prompts. In reality, the prompts inside AI assistants are different from traditional search. FERMÀT tries to bridge that gap.
Creating Brand-Owned Shoppable Content
The engine then generates pages that address these prompts in a format AI assistants can reference more easily. These pages live on the brand’s own domain. They are written in natural language and include structured data such as JSON-LD markup, clean canonical tags, and product attributes formatted in a way that machines can interpret.
This doesn’t create a guarantee, but it gives AI systems better material to work with. It’s similar to how schema markup once helped search engines interpret product information. Now the goal is to help AI assistants read and respond using information that originates from the brand itself.
Visibility Insights Based on Actual AI Referral Behavior
The engine tracks where content appears inside AI answers and which prompts drive the highest impact. The tracking is not perfect—nothing in AI discovery is perfect right now—but it provides directional insight. It also helps brands identify where they lack coverage. Instead of trying to chase down unreliable mention reports from third-party tools, retailers see whether their first-party content has influence inside AI responses.
Why Retailers Must Address These Shifts Now
For years, retail brands refined SEO (Search Engine Optimization), SEM (Search Engine Marketing), paid social, and retargeting. The strategy was predictable. The funnel was predictable. AI assistants interrupt that pattern. They reduce the number of steps between “What should I buy?” and “Where can I buy it?” That reduces the window in which a brand can earn visibility.
A shopper who once visited three sites before making a purchase now may never leave the assistant interface. This changes paid search efficiency, brand awareness campaigns, and even how retailers think about organic search value. Brands that wait too long risk losing visibility to competitors who build AI-friendly content first.
FERMÀT’s Position in a Moving Market
FERMÀT’s approach gives retailers an early toolset while the broader tracking market remains unreliable. Rather than claiming perfect measurement, FERMÀT focuses on preparing brands for the new discovery channel. Their platform includes three capabilities most retailers have not had access to before: prompt monitoring, first-party content generation, and early visibility measurement.
The company reports strong early results. Fast-growing CPG brands using the engine have seen visibility lift in categories with heavy competition. One clean beauty brand, June After, used the engine to generate vitamin C serum pathways by matching shopper prompts to available inventory. The result was a smoother recommendation process that translated into conversions. Beam Organics also reported that their brand appeared in ChatGPT answers within a short timeframe after adopting the system.
Launch Incentives for Retailers Ready to Adapt
To encourage adoption, FERMÀT is offering six months of free access for qualifying brands. The plan includes prompt identification, generation of twenty shoppable content pieces, and full visibility tracking. Retailers can request access by commenting “AI Search” on FERMÀT’s LinkedIn announcement before December 31, 2025. The first one hundred respondents also receive a store credit for partner brands.
A Practical Step in a Transforming Landscape
Retail brands are entering a period where AI assistants carry as much influence as search engines once did. The system is unpredictable, and the tools claiming to measure AI brand presence often exaggerate their accuracy. Even so, retailers must prepare for how shoppers find information. FERMÀT’s AI Search Commerce Engine gives brands a way to participate in these conversations, build structured content that supports discovery, and regain some control in a channel that is still forming its rules.
The digital landscape is shifting, and retailers need solutions that help them stay visible during this shift. FERMÀT’s platform offers a practical starting point for brands that want to be part of the new discovery experience instead of hoping AI assistants will include them by accident. It’s a step forward at a time when consumer behavior is changing faster than traditional strategies can keep up.