Improving brand visibility in AI-generated answers with Agentic Engine Optimization
As AI-generated answers increasingly shape how customers discover and compare brands, a global activewear retailer needed visibility into how it appeared across agentic engines. Using Agentic Engine Optimization (AEO), G10X helped the brand understand, measure, and improve its presence within AI-driven search experiences.
As search behavior shifts from traditional results pages to AI-generated answers, a global activewear brand recognized that customers were increasingly discovering products through tools like Google’s AI summaries, ChatGPT, and Perplexity.
Instead of searching with keywords and clicking through the resulting lists of links, shoppers were searching with full, natural language questions and receiving instant recommendations based on reviewer ratings and online presence. These Generative Engine systems were shaping brand consideration earlier and more directly than traditional search ever had.
However, the brand had no clear view into how it appeared in these answers, or whether it appeared at all. Their online information needed to be optimized.
The challenge
The activewear company lacked visibility into how AI platforms represented its offerings and brand, limiting insights into whether products were being recommended, how the brand was described, or how it compared to competitors when customers used AI-powered search tools. This made it difficult to influence consideration, correct inaccuracies, or respond to competitive pressure.
As AI-generated answers became a key entry point in the buying journey, this blind spot created growing commercial risk. Without a clear view into AI-driven discovery, the brand had no reliable way to understand where it was winning, where it was losing, or why.
Solution
Turning AI-generated answers into a channel the brand could understand and influence.
We deployed an AI-powered AEO platform to analyze how the brand and its competitors appeared across AI-generated answers for real buyer-style questions.
Rather than treating AI search as a black box, the focus was on making brand presence visible, comparable, and actionable. This gave the team a concrete understanding of how customers were encountering the brand when using AI tools to research products, compare options, and make purchase decisions.
How we delivered
Making AI-driven brand discovery measurable at scale
The AEO platform synthetically generated customer search queries and executed them at scale, collecting responses from multiple models. This enabled systematic monitoring of how brands and products were referenced, recommended, and compared within AI-generated search responses.
We then applied a combination of human evaluation and LLM-as-judge scoring to assess brand presence, positioning, and sentiment across these responses. Competitive dashboards highlighted where competitors were being surfaced instead, revealing clear performance gaps and opportunities to improve visibility and consideration.
Technology stack: Web search LLM APIs, leading foundation models for response evaluation, and analytics and recommendation engines, deployed across AWS, Azure, GCP, or SaaS environments.
Impact
Clear insight and measurable improvement in AI-driven brand consideration
By gaining visibility into AI-generated answers, the brand could finally see how customers were encountering their products during early research and comparison. This clarity enabled targeted improvements that strengthened brand presence and reduced competitive blind spots across AI-powered search experiences.
~40%
improvement in visibility across AI-generated answers following targeted optimization efforts.
Stronger
understanding of how the brand and its products were positioned when customers used AI tools to research and compare options.
Clear
priorities identified to close gaps with competitors and improve consideration in AI-generated recommendations.
Ready to improve how you show up in discovery?
At G10X, we help organizations understand, measure, and improve how their brands appear across AI-generated answers. As customers increasingly rely on agentic and generative engines to research, compare, and choose products, these systems are shaping consideration earlier and more directly than traditional search.
Our approach turns AI-driven discovery into a channel you can actively manage. By making brand presence visible, comparable, and measurable across AI platforms, we help teams identify gaps, correct inaccuracies, and strengthen positioning where buying decisions now begin.
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