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Garrett GomezSiddharth Chandrappa

Garrett Gomez 和 Siddharth Chandrappa

/产品

借助 Mentionly 全新 Sentiment,从追踪 AI 叙事到塑造叙事

Tools for tracking sentiment in AI responses existed, but most stop at the surface. They tell you sentiment ticked up or down, maybe break it down by platform, and leave the hardest part to you: figuring out what's actually driving the shift and what to do about it. That's where AEO strategy stalls. We rebuilt Sentiment in Mentionly to fix that.

Helen MartinAchintya Ashok

Helen Martin 和 Achintya Ashok

/产品

Mentionly MCP 演进 — 第 1 部分

Mentionly's MCP now connects agents to a knowledge graph and 15 new capabilities built for how Marketing Engineers actually work. For retailers, a reframe is critical. Answer engines shortlist products and guide purchase decisions long before shoppers ever reach retail or ecommerce websites. This compresses the shopping funnel and makes traditional search insufficient as a primary customer acquisition channel. Instead, retailers need to ensure answer engines recommend them throughout the shopping journey. This requires understanding how shoppers use answer engines for Christmas gifting, how to earn mentions and citations in relevant AI responses, and how to maximize visibility across AI search. This report gives you that edge. It draws on real shopper behavior from Christmas 2025, analyzed through Mentionly’s AI visibility lens, illustrating how people use AI to shop for the holiday. It also provides actionable takeaways, revealing how to optimize e-commerce products before the 2026 season ramps up so you can win the AI shelf this Christmas.

Brandon Punturo

Brandon Punturo

/Product, Research

我们追踪了 200 万条 ChatGPT 提示词。Shopping 出现不到 10%。

79% 的提示词从未触发购物。不是很少,而是在九个月数据中从未触发。会触发的那些惊人粘:次日再次触发的概率为 83%。但这种持续性会衰减,模型更新可一夜重置。我们追踪跨 13,000 个品类的 2600 万条提示词,映射购物实际出现的位置、触发一致性,以及对围绕几乎很少开启的表面制定策略的品牌意味着什么。

Jack TrainaSiddharth Chandrappa

Jack Traina 和 Siddharth Chandrappa

/产品

Upgrading content optimization with the AEO content score

We’re introducing the Mentionly AEO Content Score, a new machine learning–powered metric that helps marketers understand how well their content is optimized for AI search results. Built from millions of top-cited pages across AI systems, the score measures your content’s likelihood of being referenced by AI search. It’s the foundation of our new 内容优化 V2, giving you real-time AEO insights, benchmarks, and clear recommendations to boost your visibility in AI-generated answers.

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