What you actually get from AthenaHQ
AthenaHQ is an Answer Engine Optimization and GEO platform that tracks how brands are described and cited across ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok and other AI models, then adds an Athena AI agent, content optimization tooling and an Oracle discrepancy-detection feature on top of the raw monitoring data. It offers a credit-metered free Essential tier, a $295/month Starter self-serve plan and a custom Enterprise tier with SSO, audit logs and BI tool integrations (Tableau, Power BI, Looker). The company was founded in 2025 by Andrew Yan and Alan Yao, is a Y Combinator company based in San Francisco with about 12 employees, and holds G2 and Slashdot ratings around 4.9 out of 5.
AthenaHQ pricing
Free Essential tier with 300 credits, paid Starter at $295/month with 3,600 credits, and custom Enterprise.
| Plan | Price | What it covers |
|---|---|---|
| Essential | Free | $25 free credit, 300 credits included, unlimited members, prompt/response analysis, sources and competitor insights, Athena AI agent |
| Starter | $295/mo | $300/mo free credit on top, 3,600 credits/mo, visibility across 10 models, integrations, CSV export, on-page/off-page actions, content optimization agent; API access and extra credits are paid add-ons |
| Enterprise | Custom | Custom credits, Knowledge Base and claim review, Oracle discrepancy detection, Athena Citation Engine (ACE), SAML/OIDC SSO, audit log, multi-region/multi-language, white-glove setup |
Source: athenahq.ai/pricing, read 2026-09-07.
Strengths
- Only vendor in this set with a genuinely free tier (300 credits/month) rather than a time-limited trial
- Visibility across 10-plus AI models on the Starter tier is broader out-of-the-box engine coverage than most competitors' entry plans
- Oracle discrepancy detection and the Athena Citation Engine (ACE) target factual-accuracy and citation-source problems, not just mention counting
- Y Combinator-backed with a credit-based pricing model that scales cost with actual usage rather than flat prompt counts
Weaknesses
- Small team (about 12 employees as of its YC listing), a thinner bench than venture-scaled competitors like Profound
- API access and extra credits on the Starter plan are unpriced paid add-ons, so real monthly cost can exceed the advertised $295
- Credit-based pricing (1 credit = 1 AI response) makes it harder to predict monthly spend compared to flat per-prompt tiers
- Most advanced features (Knowledge Base, ACE, SSO, multi-region support) are Enterprise-only and require a custom quote
Best for
- Small-to-mid businesses that want to start free and pay only as monitoring volume grows
- Teams that want on-page/off-page action recommendations bundled with visibility tracking on a self-serve plan
- Enterprises wanting BI tool integration (Tableau, Power BI, Looker) and executive dashboards
Not ideal for
- Teams that want fully predictable flat monthly pricing rather than a credit-metered model
- Organizations needing SSO, audit logs or citation-accuracy tooling without moving to a custom Enterprise contract
Taking the page down is the easy part. Nobody sells you the rest
AthenaHQ gets pages taken down, and per-URL removal is a legitimate service that works. When the target is a single hosted page with a cooperative host, this is the right instrument.
What is sold as a removal is usually a removal of one copy. Content in this space syndicates: mirrors, aggregators, screenshots, archive snapshots, and quotations in other articles. The invoice counts the URL that came down. The exposure is the set of places the content still exists, and those two numbers are rarely close.
The invoice counts URLs. The exposure counts copies. Those are rarely the same number.
The failure mode is expensive and slow to notice. You pay for a removal, see the original URL return a 404, and close the matter. Six months later the same content surfaces from a mirror that was never in scope. You reopen the case at full price, against a target that has had half a year to spread. Per-URL pricing rewards the count, not the outcome.
Where this lands in 2026
The copy that matters most is often not a page at all. Content crawled before removal persists in what a model repeats, and there is no URL to serve a takedown against. Your removal is not finished when the page 404s. It is finished when the claim stops coming back.
That is why this review sits on the site of a firm that competes with AthenaHQ. The argument is not that AthenaHQ is a bad product. Its category was designed against a version of your problem that no longer describes the whole surface. The part it was never built to cover is the part growing fastest.
These tools tell you the model said something wrong. They do not fix it. Monitoring is the cheap half of the problem; changing the sources a model cites is the half that moves the answer.
Key facts
- Founded in 2025 by Andrew Yan and Alan Yao; Y Combinator company based in San Francisco with about 12 employees
- G2 High Performer (Answer Engine Optimization, Spring 2026) and a 4.9/5 Slashdot 'Most Loved Software' award
- Advisory board includes former CMOs from Scentbird, Algolia and marketing executives from Estee Lauder, Bacardi and PepsiCo
- Launched the Athena Citation Engine (ACE) as a newer feature focused on citation intelligence
AthenaHQ covers one lane. We cover the surface.
You get generative engine optimization as one protocol inside a measured engagement, not as a standalone subscription. Your exposure is measured first against a Bayesian baseline, then the counter-strike work runs, then your surface stays monitored across search, review platforms, and the AI answer layer.
Sources checked
We read the vendor's own pages for every price on this review and record the date we read them. Where a figure comes from a third party we say so. Method: review methodology.