AthenaHQ vs Seenby

Seenby and AthenaHQ sit in the same young category, the one that grew out of a single executive question: how does ChatGPT describe us, and why does a competitor get recommended instead. AthenaHQ operates in that category, and their own positioning line lives on their own site, which is where you should read it. This page makes no claim about what AthenaHQ says of itself, what it covers, or what it costs.

The reason is simple. We have not fetched and quoted AthenaHQ's live site for this page, and this category changes its feature lists and its prices faster than any comparison page can keep up. A table that confidently lists a competitor's model coverage from memory is not a comparison, it is a guess dressed as research. So you will find no AthenaHQ price, no AthenaHQ model list and no judgement about their reliability or support anywhere below. Read those on their own site, where they are current.

What this page can do is more useful than a guess. It states precisely what Seenby is built to do, names what Seenby does not have, and hands you the short list of questions that actually separates tools in this category when you put them to any vendor, including us.

Seenby is a waitlist today, not a launched product, so read everything here as intent backed by what is built rather than as a track record.

The scheduled query engine hits exactly two providers, OpenAI and Perplexity, behind a provider adapter interface that degrades to the remaining provider if one is disabled. Two providers is a choice, not an omission we are hiding. Provider access in this category is a dependency, so the architecture assumes one of them can go away, and the copy says two rather than implying every assistant.

Setup takes a brand name, a description and up to three competitor names, and generates a set of 50 to 100 prompts that is then frozen. The same set runs every week, which is the only way a trend line measures the market rather than the questions you happened to type that Monday.

From each answer, Seenby extracts brand and competitor mentions, classifies sentiment as positive, neutral, negative or absent, and records the ranking position inside the response. Those roll into one headline number, Share of AI Voice, computed per brand per week and stored with its methodology caveat attached to every computed record. The dashboard carries a 30-day trend, the sentiment breakdown, the prompts where you are named and the prompts where you are not, and a competitor benchmarking view. A weekly email digest sends the top insights and drift alerts tied to model-version changes, with the caveat included.

One thing to be blunt about. Every stored response is tagged with its model version, because week-over-week movement in any tool in this category can reflect a model update rather than a real competitive change. Seenby surfaces its methodology disclosure on every score display in-product and on a dedicated methodology page, so the caveat travels with the number instead of living in a footnote.

Seenby fits when the shape is one brand, every week

Choose Seenby if you are a brand manager or SEO lead who needs one brand watched continuously, benchmarked against up to three named competitors, with a single number you can put in a monthly report and a published method behind it. Seenby is built for the case where the trend matters more than breadth: the same frozen prompt set, the same two providers, every week, so a movement means something. The price is one published figure, so you can decide without a sales call. If your procurement process needs SOC 2, single sign-on or a signed data processing agreement, Seenby does not have those today, and that is a reason to look elsewhere rather than a detail to discover later.

AthenaHQ may fit better, and here is how to tell

Go and read their site against the five questions above. If you need coverage beyond OpenAI and Perplexity, several brands in one account, a workspace per client, integrations we do not offer, or enterprise controls we have listed as absent, then a tool with a wider scope is the right call and we would rather you found that out on this page than after paying us. We are not going to characterise AthenaHQ's capabilities to make that comparison land one way or the other, because we have not verified them.

If you are still deciding whether to buy anything

The honest third option is the one most teams are on: a marketer types category prompts into ChatGPT by hand, screenshots the answers and keeps a sheet. It costs nothing and it answers the executive question once. What it cannot do is survive non-determinism, because the same prompt asked twice does not return the same answer, and a handful of manual checks cannot tell a model update from a real shift in how you are described. That is the gap any paid tool in this category, ours or theirs, has to justify.