I like that it finally gives us a clear view of how we show up in AI answers, without a bunch of jargon. It’s easy to see which questions we’re winning, which ones we’re missing, and what changed week to week.

For an ecommerce‑driven brand, AthenaHQ’s product and commerce view is a real differentiator. We can see how AI systems talk about our key categories, which products are most visible, and where we’re losing out on high‑intent journeys. That level of granularity is what lets us connect GEO work to merchandising decisions and retail media strategy. The platform treats ‘commerce in AI’ as a first‑class use case, not an afterthought. We get insights at the category and product level, plus guidance on which pages, offers, and bundles to adjust. Our ecommerce, SEO, and performance teams now share a single source of truth for AI‑driven discovery, which has reduced guesswork and helped us prioritize the few changes that will actually move revenue.

AthenaHQ makes AI search and GEO understandable for non‑technical marketers. The dashboards answer simple questions like ‘How are we described?’ and ‘Who are we compared against?’ and then immediately show which messages and assets to adjust. That bridge from abstract AI behavior to concrete positioning work has been incredibly helpful for our PMM team. The in‑product guidance is strong: templates, examples, and prioritized recommendations walk us through launches, repositioning, and competitive defense. Instead of needing a specialist to translate every insight, PMMs can use AthenaHQ directly to shape messaging, pick proof points, and brief creative partners. It feels like a GEO‑native companion to our positioning docs, not just another analytics tool.