Discovery starts in AI
Customers ask ChatGPT, Google AI Overviews, Perplexity, and Gemini what to buy.






Frontier Marketer helps consumer brands measure, improve, and monitor visibility across ChatGPT, Google AI Overviews, Perplexity, Gemini, and other AI discovery paths.
The Market Shift
Shoppers are asking AI for product ideas, comparisons, and brand recommendations before they visit your website. If your brand is missing, competitors become the shortlist.
Customers ask ChatGPT, Google AI Overviews, Perplexity, and Gemini what to buy.
AI answers narrow choices before shoppers click ads, search results, or brand sites.
Structured content, credible sources, reviews, and category authority shape whether AI recommends you.
Track mentions, citations, position, sentiment, and competitor visibility across AI discovery paths.
Data Proof
YoY increase in generative-AI traffic to U.S. retail sites on Cyber Monday.
Adobe Analytics, 2024of global Cyber Week orders were expected to be influenced by AI and agents.
Salesforce Shopping Index, 2024of U.S. consumers reported using generative AI for online shopping.
Adobe survey, 2025D2C Brand Fit
From early demand to global expansion, GEO helps AI systems understand, cite, and recommend your products when shoppers ask what to buy.
We clarify your brand entity, product proof, reviews, and answer-ready content.
Establish visibilityWe track category prompts, citation gaps, competitor share, and source quality.
Win the shortlistWe align multilingual queries, local sources, and market-specific buying contexts.
Align marketsWhat We Measure
We monitor how your brand appears across AI answers: whether you are mentioned, where you rank, which sources are cited, how sentiment is framed, and which competitors show up instead.
See when your brand appears for high-intent product and category questions.
Identify which pages, reviews, retailers, and third-party sources AI uses to support recommendations.
Compare answer share, ranking position, and sentiment against the brands shoppers see beside you.
AI-Ready Content Assets
We turn your product positioning, reviews, comparisons, FAQs, and proof points into structured content assets that AI systems can understand, extract, and cite.
Create clear answer blocks for product benefits, use cases, ingredients, materials, comparisons, and buying questions.
Strengthen the reviews, third-party mentions, retailer pages, and owned content that AI uses to verify your brand.
Build localized, answer-ready pages for the markets, languages, and shopper contexts where you want to be recommended.
Core Metrics
AI discovery is not measured only by clicks. For D2C brands, the real question is whether AI mentions, cites, ranks, and describes your products in the right buying moments.
Measures whether your brand appears when shoppers ask AI for product ideas, comparisons, and recommendations.
Useful for D2C brands that need to know if AI discovery is creating or blocking demand.Tracks whether AI systems cite your product pages, reviews, guides, retailers, or trusted third-party sources.
Useful for finding which proof points AI trusts and which source gaps need to be fixed.Shows how often your brand appears compared with competitors across category and buying-intent prompts.
Useful when competitors are becoming the shortlist before shoppers reach your website.Measures whether your brand appears as a top recommendation or is buried below stronger-known competitors.
Useful for tracking whether AI sees your product as a preferred choice, not just another option.Monitors how AI frames your brand, product quality, use cases, pricing, ingredients, materials, and customer fit.
Useful for catching outdated, incomplete, or inaccurate descriptions before they shape buying decisions.AI Shopper Queries
We map the prompts that influence product discovery, then build the answer assets and source signals that help AI understand when your brand should be recommended.
AI compares breathable materials, safety proof, parent reviews, age range, and retailer credibility before recommending a shortlist.
AI looks for ingredient clarity, dermatologist-style explanations, review patterns, comparison content, and trustworthy source mentions.
AI evaluates use case fit, filter claims, room size guidance, third-party reviews, and how clearly brands answer buyer questions.
AI checks positioning, nutrition proof, customer concerns, comparison pages, expert-style guidance, and sentiment across sources.
AI weighs portability, airline fit, reviews, product specs, and whether trusted sources consistently support the recommendation.
Client Proof
For Red Sun Bowling, the goal was not more keyword volume. It was to become visible in high-intent AI answers when buyers compare bowling equipment suppliers and brands.
We strengthened category positioning, answer-ready product pages, citation signals, and query coverage so AI systems could understand when Red Sun should appear in buyer-facing recommendations.
Zero-sugar drink recommendations and beverage-brand ranking prompts across DeepSeek and Wenxin.
Sunscreen recommendation prompts across DeepSeek and Doubao.
Brand-entity accuracy for spokesperson and country-of-origin questions across six China-market AI models.
Local medical-service recommendation prompts across DeepSeek, Doubao, Yuanbao, Qianwen, Wenxin, and Kimi.
GEO, or generative engine optimization, helps your brand and product information appear, get cited, and get recommended inside AI answers when shoppers ask what to buy.
Share your brand, category, markets, and priority products. We will identify where AI already recommends you, where competitors are winning, and what to improve first.
Complete our 5-minute assessment to help us understand your brand, channels, and growth goals. Your answers go directly to our team, so there is no second form to fill in.
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