GEO for D2C from equal AI helps teams measure and improve AI visibility for d2c brands, understand what AI engines cite, and prioritize the work that improves answer visibility.
GEO for D2C from equal AI helps teams measure and improve AI visibility for d2c brands, understand what AI engines cite, and prioritize the work that improves answer visibility.
Buyers increasingly ask AI engines for recommendations, comparisons, and shortlists. GEO for D2C gives your team a focused way to see whether your brand is present, how it is described, and which sources influence the answer.
equal AI tracks mentions, positions, competitors, citations, sentiment, source domains, response text, and recommendations across the surfaces that matter for your category.
Use the action queue to improve owned content, fix schema and crawler access, earn third-party citations, update comparison pages, and test whether those changes increase AI share of voice.
Questions buyers ask when choosing vendors, products, services, alternatives, reviews, and category leaders.
The review sites, forums, publishers, directories, and owned pages AI engines cite for this category.
A clear readout of which brands AI recommends most often and what claims are attached to each.
A roadmap for content updates, source-building, schema improvements, and GEO tests.
Set the domain, competitors, regions, and initial prompt library. Establish mention rate, share of voice, sentiment, and citation baselines.
Prioritize the highest-impact recommendations across content clarity, schema, comparison pages, crawler access, and third-party sources.
Run GEO tests and compare before/after AI answers to see which changes moved mentions, citations, and position.
Start with a focused prompt set, see where your brand appears, and turn the gaps into a practical action plan your team can ship.
