Answer Engine Optimization
When a shopper asks ChatGPT, Perplexity, Gemini or Claude what to buy, the assistant names a few products and quietly skips the rest. If yours is one it skips, it's almost never bad luck — it's a handful of fixable gaps. Hasmord scores your product page, shows exactly which gap is costing you, and helps you fix it.
For twenty years the question was "why am I not ranking?" Today it's sharper and more painful: "why wasn't I recommended?" AI shopping assistants don't return ten blue links — they answer with one to three named products and a reason. There is a single recommendation slot, and your product is either in it or invisible. The old analytics dashboards can't explain the miss, because the miss happens inside a conversation you never see.
The good news: that decision runs on things you can actually influence — the product data an assistant can read, the evidence it can trust, and whether it can compare you fairly to the alternatives.
When an assistant skips a product, it's usually one of these — in the order the decision happens:
Related: AEO vs SEO comparison · Get into ChatGPT shopping · What is Answer Engine Optimization?
An "exposure score" is a thermometer: it tells you that you have a fever, not what's causing it. To fix the miss you need to see which gap, on which product, at which stage of the decision. Here's the path:
You don't need a project to find out why AI keeps passing you over. Score a single product URL for free, see the specific gap holding it back, and fix it. Then scale across your catalog as it pays off.
Almost always it's one of a few fixable gaps rather than bad luck: the product was never retrieved into the candidate set, key structured attributes shoppers filter on are missing, claims have no evidence the model can trust, the page or feed isn't machine-readable, price or availability is stale, or a rival with clearer evidence won the single recommendation slot. Each of these is measurable and fixable.
Stop guessing and measure it. Paste the product URL into Hasmord's free AEO check: it scores how answer-ready the page is across the signals answer engines use and shows the exact gaps — missing attributes, unsupported claims, structure problems — so you know which one is costing you the recommendation.
You control most of it. Answer engines recommend the products they can read, trust and compare. Completing the attributes, adding citable evidence for your claims, keeping price and availability accurate, and publishing an answer-ready page or feed directly changes whether an assistant can pick you. Hasmord shows the gaps and helps you fix and publish.
It overlaps but isn't the same. SEO optimizes to rank a page in a list of links. Answer Engine Optimization (AEO) optimizes so an assistant can retrieve, trust and cite your product when it answers a shopper directly with one recommendation. Structure and evidence matter more than keywords.