Shoppers and B2B buyers increasingly ask an assistant before they ever open a search engine. The answer they get is built from your site, your product data and what the rest of the web says about you. If that material is thin, out of date or hard to parse, the assistant fills the gap with someone else.
AI search optimization, sometimes called generative engine optimization or answer engine optimization, is the work of making your brand easy for these systems to understand and safe for them to quote.
What the work covers
- Baseline testing. We ask the major assistants the questions your buyers ask and record how often you appear, how you are described and who gets recommended instead.
- Answerable content. Category, product and service pages written so the key facts are stated plainly and can be lifted into an answer.
- Structured data. Schema for products, organizations, FAQs and reviews, so machines read the same facts your customers see.
- Product feeds. Clean, complete feeds for the shopping surfaces that assistants draw from.
- Technical access. Crawl rules, rendering and site speed checked so AI crawlers can read your pages at all.
How we measure it
AI answers change often, so we track a fixed set of prompts over time rather than relying on a single snapshot. You see where you are cited, how the description changes and which fixes moved it.
This work sits alongside AI product data enrichment and our wider ecommerce strategy and roadmapping service.
