Customers are making decisions inside of AI assistants. AI Discovery Optimization makes sure you’re part of the conversation.
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Make AI assistant comparisons and recommendations a measurable growth channel instead of an invisible influence on your pipeline.
Ensure assistants include your products when narrowing options, with accurate pricing, offers, and positioning.
Convert early interest forming outside your channels into owned, scalable demand you can track and activate.
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.
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.
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.

Growth Plays
When you understand every customer and act fast, growth compounds across the entire journey.
Lookalike Audience Expansion
Intent-Based Targeting
AI Discovery Optimization
Anonymous Visitor Identification
Progressive Profiling
Vwam
First-Purchase Acceleration
Abandon Cart Recovery
Order Value Expansion
Customer Reactivation
Loyalty Tier Progression
Smart Replenishment Upselling
Customer Drop-off Prediction
Advocacy Growth
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.
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.
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.
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.
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.
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.
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.