Summary
eLLMo AI's case study on Equipt Movement reveals that the brand achieved approximately 45% unbranded AI visibility, primarily because customer reviews directly compare its comfort to a larger competitor, Bala. However, these comfort claims are rooted in customer language rather than first-party product specs, which limits Equipt Movement's authority in AI-driven answers. The audit flagged missing structured data types (Organization, Product/Offer, AggregateRating/Review), leaving only a basic "WebSite" schema and making it harder for AI engines to confidently cite the brand. The most impactful fix is to add first-party comfort and use-case evidence, making claims directly citable by AI systems. Every eLLMo AI Search audit ships a scored report, ranked schema fixes, and plain-text copy ready for engineering and content teams to implement.
- What did the AI search audit find for Equipt Movement? * Equipt Movement reached an estimated 45% unbranded AI visibility, largely due to review language comparing its comfort to Bala, which AI engines use to build competitor narratives.
- What is the single biggest fix for Equipt Movement's page? * Add first-party comfort and use-case evidence to the site, making these claims directly citable by AI engines rather than relying on customer review synthesis.
- What do I get from an AI search audit, beyond this report? * You receive a scored visibility report, a ranked list of structured data/schema fixes, and plain-text specs and answers that can be shipped directly to engineering and content teams.
- Who is this built for? * The audit is designed for brands, agencies, and growth teams that need to know how AI engines perceive and recommend their products, and who want actionable, prioritized fixes to improve AI-driven discovery.
- How do I get a report like this for my own page? * Book a demo at https://www.tryellmo.ai/get-demo to see a live AI search audit on your own homepage.
