OptimizeGEO has launched its Integrated Demand Engine, an enterprise platform aimed at improving brand visibility across AI search and AI shopping systems. It brings together AI-ad monitoring, shopping-intelligence data and execution agents that can produce implementation-ready content and code, with a human approving everything before it goes live. The launch was reported via AdGully, which we have used as our primary reference here.
The accompanying study is the part that matters most for anyone trying to get cited. Analysing 40,000 unbranded shopping queries across 12 categories, it found that editorial publishers supplied 72% of AI citations, brand websites just one in seven, and retailers around three-quarters of AI shopping links. More than 15% of products were also described inaccurately by language models. In other words, when an AI answers a question about a product category, it is usually leaning on what third parties say, not on what the brand says about itself.
For us, that is the clearest signal yet that GEO is no longer just a website job. Your own pages still need to be clear, structured and crawlable, but the real leverage sits in the wider footprint: editorial coverage, retailer listings, comparison content and reviews. Those sources need to describe your products consistently, because a model that finds three different versions of your specs or positioning is far more likely to get them wrong. An audit should therefore check not only your site but how you are described across the publishers and retailers AI systems actually draw from, and whether those descriptions agree.
The headline numbers come from a single vendor-led study, so treat the exact percentages as indicative rather than definitive. The direction of travel, though, lines up with what we see in citation audits: third-party presence and consistency are doing a lot of the work. If you want to know where your brand stands across that ecosystem, that is exactly what a Citeify audit is built to show.