AI Discovery Optimization
Customers are making decisions inside of AI assistants. AI Discovery Optimization makes sure you’re part of the conversation.
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Turn AI recommendations into net-new revenue
Make AI assistant comparisons and recommendations a measurable growth channel instead of an invisible influence on your pipeline.
Control how your products show up in AI assistants
Ensure assistants include your products when narrowing options, with accurate pricing, offers, and positioning.
Capture demand before it hits your channels
Convert early interest forming outside your channels into owned, scalable demand you can track and activate.
Unify Intent in Your Warehouse.
Let AI Agents Orchestrate Growth.
Move at the Speed of Today's Demand.
Expose products and offers intentionally
Share your product catalog, pricing, and active promotions through a dedicated discovery endpoint AI assistants can call.
Give them a clear, current understanding of what you offer instead of forcing them to infer details.
Keep recommendations aligned with what you want to sell
Ensure AI assistants work with your current pricing, promotions, and incentives so recommendations reflect what you actually want to drive.
As offers change, what assistants see updates automatically, preventing misaligned recommendations.
Offer clarity without exposing your systems
Route AI assistant access through a dedicated discovery endpoint, not your warehouse or internal systems.
Control what’s exposed, how it’s structured, and how it’s measured, while offering enough clarity for AI.
Common questions
What is AI Discovery Optimization?
AI Discovery Optimization is a BlueConic Growth Play that ensures your products, offers, and brand are accurately discovered and recommended by AI assistants when customers ask for options or make purchase decisions.
How does BlueConic AI Discover Optimization work?
BlueConic AI Discovery Optimization works by exposing structured, up-to-date product and offer data through a dedicated discovery endpoint that AI assistants can query to generate accurate recommendations.
How is AI Discovery Optimization different from answer engine optimization?
AI Discovery Optimization differs from answer engine optimization (AEO) by focusing on how products and offers are discovered and compared by AI assistants, rather than optimizing content to appear in AI-generated answers.
How can we improve product discovery with AI?
You can improve product discovery with AI by providing structured, current product and offer data that AI assistants can easily access, interpret, and use when generating recommendations.
How do AI assistants access product and offer data?
AI assistants access product and offer data through a controlled discovery endpoint that exposes current, structured information they can query in real time, rather than scraping pages or relying on inferred signals.
Why do AI assistants need structured product data?
AI assistants generate recommendations by comparing available options. Structured product data gives them clear, current pricing, availability, and offer details to evaluate. Without structured data, assistants rely on inferred or outdated information, which can lead to incomplete or misaligned recommendations.
Why can’t AI assistants just scrape our website?
AI assistants can't just scrape your website as they often rely on inferred content, which can be incomplete, outdated, or inconsistently structured. AI Discovery Optimization provides assistants with direct access to structured, current product and offer data, ensuring recommendations reflect accurate pricing, availability, and promotions instead of guessed or stale information.
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Let’s turn AI recommendations into your next growth channel.
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