Answer Engine Optimization · AEO / GEO
Buyers now ask AI what to buy. Answer Engine Optimization — also called Generative Engine Optimization (GEO) — is the name the industry gives to preparing product information for those answers. Hasmord is the AEO-native sales platform. Buyers ask questions across AI assistants, search, and sales conversations. Hasmord uncovers where your answers about your products and services fall short, turns evidence into better answers, finds potential customers for you, and connects every lead to your sales process.
Answer Engine Optimization (AEO) is the practice of preparing a product’s public information so an AI assistant — ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews — can describe and compare it accurately when a shopper asks what to buy. It is the same discipline many call Generative Engine Optimization (GEO). Where SEO works on ranking a page in a list of links, AEO works on the product information itself: what it is, who it suits, where its limits are, and what supports its claims. Published research (Aggarwal et al., “GEO: Generative Engine Optimization”, KDD 2024) reports verifiable statistics, credible quotations and citations to reliable sources as the strongest levers in its tests, and keyword stuffing as ineffective. No assistant publishes how it chooses products.
Related: Generative Engine Optimization (GEO) · AEO vs SEO · SEO suite vs AEO platform · GEO vs AEO vs SEO · AEO FAQ.
Visibility in AI answers is an input, not the outcome. For an established brand, with a product portfolio, a sales team, and sales across its own site, marketplaces, retail partners and dealers, a mention matters when it opens a buying opportunity: a buyer question your product can answer with facts the buyer can check. The useful questions for AEO work are which buying opportunities it opens, on which channels, and what happens once those buyers reach your sales process. If you are choosing a tool for this work, see how to choose the best AEO platform for brands.
Answer checks show what a model said; they cannot show whether the inquiry that followed became a deal. Keeping each lead and deal tied to the products and buyer questions that started them lets the next round of AEO work start from what sold, not only from what was mentioned.
For Answer Engine Optimization, being named in an answer is one step, not the result. What matters is whether the buyer’s question was answered well enough to move them toward a purchase, and what happens next. Today you can follow AI answer checks, AI referral visits in Google Analytics 4, and the leads and opportunities in Hasmord’s CRM, each with the buyer questions behind it. The questions buyers raise in sales conversations point back to the product information: add evidence, sharpen the claim, then see how the market and sales respond. For how to measure it, see how to measure AEO’s impact on sales.
Hasmord is the AEO-native sales platform. Buyers ask questions across AI assistants, search, and sales conversations. Hasmord uncovers where your answers about your products and services fall short, turns evidence into better answers, finds potential customers for you, and connects every lead to your sales process.
Yes. Answer Engine Optimization (AEO) and Generative Engine Optimization (GEO) describe the same discipline: preparing product information so AI assistants such as ChatGPT, Perplexity, Gemini and Google AI Overviews can describe and compare a product accurately. The names come from different communities: GEO from research on generative engines, AEO from earlier work on answer surfaces such as featured snippets and voice assistants.
SEO works on ranking a page in a list of links. AEO works on the product information an assistant reads when it answers a buyer directly: what the product is, who it suits, what it costs, how it compares, and what supports its claims. If those facts are missing or unsourced, no amount of keyword work supplies them.
In the published GEO study (Aggarwal et al., KDD 2024), verifiable statistics, credible quotations and citations to reliable sources were the strongest levers in the authors' tests, while keyword stuffing was ineffective. Those are properties of your content that you control. How an individual assistant chooses products is not published by any of them.
No. Hasmord works from your public product pages or a CSV import, and publishes pages you can link to. Changing your own storefront stays with you: copy or export the approved information and update the listing there. The Free plan covers one product, with no credit card; Starter is $79 a quarter for up to 5 products.