The pricing is transparent and the plan covers what it says it covers. Bluefish wanted a sales call just to give us a number, and Scrunch started adding fees once we needed Claude and Gemini coverage. AthenaHQ published what the plan included, we signed up, and we got exactly that.

I like the ability to customize prompts and topics, set up different personas, and visualize the results through heatmapping.

We manage multiple residential real estate brands across thousands of franchise locations. The way consumers find agents is shifting fast. Five years ago it was referrals and yard signs. Then it was Zillow and Realtor.com. Now we're seeing buyers and sellers ask ChatGPT things like "best real estate agent for luxury homes in Scottsdale" or "which brokerage has the lowest commission fees" before they ever visit a brand website.AthenaHQ helped us understand how our brands perform in those conversations. We discovered that AI models were recommending competitors for specific property types and price points where we have strong market share. Worse, some responses contained outdated information about our commission structures that made us look less competitive than we actually are.The regional tracking has been particularly valuable. Real estate is hyperlocal, and AI models respond differently by market. We can now segment visibility by metro area and give our regional marketing teams data they can act on. A brand manager in South Florida sees different insights than someone covering the Pacific Northwest, which is exactly how it should be.