Athena HQ’s most generous feature is also the one that can empty your account fastest. The Starter plan advertises unlimited topics, prompts and competitors across eleven AI engines, which sounds like the opposite of a constraint. But the plan is metered in credits, and one credit buys one AI response. Unlimited prompts on a fixed answer budget means every prompt you add, every engine you switch on and every extra country you check draws from the same pool. The teams that get the most out of it are the ones that track less than the plan allows.
That tension sits at the center of this review. What follows is a review of Athena’s documented features, published pricing and company background, checked against its own pricing page and Y Combinator’s listing in October 2026. We did not run a paid account, so there are no invented dashboards or test scores here. Instead, you get a scoring rubric you can apply to any AI visibility tool, applied to Athena, plus a comparison with Profound, Peec AI, Otterly and Scrunch on the facts each vendor publishes.
What Athena HQ does, and what it measures
Athena is a generative engine optimization platform. You give it a set of prompts that a buyer might type into an AI assistant, it sends those prompts to a list of AI engines, and it records what comes back. The unit of measurement is the response: did the answer mention your brand, where in the answer did you appear, which competitors showed up beside you, and which web pages did the engine cite as sources.
On top of that raw capture, Athena layers analysis. The pricing page lists prompt and response analysis, source and competitor insights, content recommendations and an assistant it calls the Athena AI agent, all on the free tier. Paid plans add on-page and off-page actions, a content optimization agent and what Athena describes as self-learning content improvement. Third-party reviewers also describe a query volume model that weights prompts by how often people are likely to ask them, and an action center that reruns prompts after you make changes. Athena’s public pages are thin on detail for those two, so treat them as reported rather than confirmed.
The engine list is where Athena stands out on paper. The Starter plan covers ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI and Mistral, with other engines available on request. That is broader than most self-serve plans in this category, several of which make you pick three models or pay per added engine.
Enterprise goes further into governance. The plan lists a knowledge base with claim review, discrepancy detection Athena calls Oracle, the Athena Citation Engine, SAML and OIDC single sign-on, an audit log, persona targeting, multi-region and multi-language tracking, and an executive dashboard that feeds Tableau, Power BI and Looker. A claim review feature matters more than it sounds. If ChatGPT tells buyers your product lacks a feature it has, or quotes a price you retired two years ago, visibility counts alone will not catch it. Something has to compare what the model says against what is true.
Integrations named on Athena’s public pages include Google Analytics 4, Google Search Console, Shopify, Webflow and Framer, plus CSV export on paid plans and a paid API add-on on Starter. Those connections are what let a team move from “we were mentioned” toward “that mention sent someone to the site.”
Who built Athena, and does it matter?
Y Combinator lists AthenaHQ in its Winter 2025 batch, based in San Francisco, with Andrew Yan as CEO and Alan Yao as a founder. The YC profile says the company was founded by a former Google Search product manager and claims more than 200 customers, ranging from AI startups to publicly traded companies. Funding trackers, including Signalbase and Seedtable, report a $2.2 million seed round with Y Combinator among the backers.
Why should a buyer care about any of that? Two reasons. First, a former Google Search product manager has spent time on the inside of how a search engine decides what to show, and that background shows in the product’s emphasis on sources and citations rather than vanity mention counts. Second, a seed-stage company with a team YC lists at around a dozen people ships fast and changes often. Fast shipping means new engines and features arrive quickly. It also means your internal training docs go stale, and pricing can move between the quarter you budget and the quarter you renew. Earlier third-party write-ups described Athena tiers and prices that do not appear on the current pricing page, which tells you the packaging has already shifted at least once.
None of this is a red flag. It is the normal profile of a young venture-backed tool. It does mean you should buy month to month or negotiate a price lock before committing to an annual plan, even with the advertised 17% annual discount on the table.
How much does Athena HQ cost?
Athena publishes its prices, which already puts it ahead of several competitors that hide everything behind a sales call. As of October 2026, the pricing page lists three tiers.
Essential is free and includes 300 credits, unlimited users and five engines: ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot. Starter costs $295 per month and includes 3,600 credits per month across all eleven engines, unlimited topics, prompts and competitors, country-level tracking, integrations and CSV export. API access and extra credits are paid add-ons on Starter. Enterprise is custom, with a custom credit allocation, included API access, white-glove setup, a dedicated Slack channel, a two-hour SLA and access to a certified GEO and SEO specialist. The page also displayed a promotional credit offer at the time of writing, and annual billing is advertised at 17% off without published annual prices. Confirm both with Athena before you sign.
The number that matters is not $295. It is 3,600, because one credit equals one AI response. Here is how quickly that pool goes. Track 30 prompts on 4 engines once a day and you use 30 times 4 times 30, or 3,600 responses, in a month. That is the entire Starter allowance. Track 100 prompts on all 11 engines once and you spend 1,100 credits in a single run, so a weekly cadence across a month puts you above 4,700 credits and into add-on territory. The free plan’s 300 credits cover roughly 60 prompts on its 5 engines, once. That is enough to see the product work and not enough to see a trend.
At $295 for 3,600 responses, Starter works out to about 8 cents per AI answer before add-ons. That figure is the honest way to compare Athena with tools that price by prompt, because a prompt that runs daily on three engines and a prompt that runs weekly on one are not the same purchase.
The Five-C Scorecard for AI visibility tools
Most comparisons of AI visibility tools list features side by side and leave you to guess which ones matter. We use a five-part rubric we call the Five-C Scorecard. Each criterion scores from 1 to 5, and the total, out of 25, tells you how well a tool fits a mid-market brand or agency that needs to report to someone above them.
Coverage asks whether the tool tracks the engines your buyers use, at the price you can pay. A tool that covers eleven engines on its entry plan scores higher than one that covers three and charges per addition. Citations asks whether the tool shows which sources an engine relied on, down to the URL, because sources are the lever you can pull. You cannot edit ChatGPT, but you can earn a placement on the pages it cites. Cost per answer converts every pricing model into the same unit, the price of one recorded AI response, so per-prompt and per-credit plans can be compared fairly. Corrective action asks whether the tool tells you what to change and checks whether the change worked, rather than handing you a chart. Connectivity covers integrations, exports, API access and single sign-on, which decide whether the data reaches the people who approve budgets.
The weighting is equal by design. A brand that lives in Google AI Overviews might care more about Coverage. A PR team that earns citations for a living might double the Citations score. Adjust the weights for your situation, but score all five, because a tool that wins on one criterion and fails another will cost you later.
How does Athena score on the rubric?
These scores rest on Athena’s documented features and published pricing, not on a hands-on trial. They describe what the product promises to do. Your own trial should test whether it does.
Coverage earns a 5. Eleven engines on a $295 self-serve plan, including Claude, Grok, DeepSeek, Meta AI and Mistral, is the widest entry-level coverage among the tools in this review. Five engines on the free plan is also generous.
Citations earns a 4. Source and competitor insights are on every tier, and Enterprise adds the Athena Citation Engine and a knowledge base with claim review. We hold back a point because the public pages describe these features in marketing terms, and you cannot check how granular the source data is without an account.
Cost per answer earns a 3. About 8 cents per response on Starter is reasonable, and publishing the price at all deserves credit. The problem is predictability. Credits scale with prompts, engines, regions and every ad hoc check your team runs, and the plan’s “unlimited prompts” framing invites over-tracking. Third-party reviewers report teams spending a month’s credits early. That is a setup problem you can avoid, but the pricing model makes it easy to fall into.
Corrective action earns a 4. Content recommendations, on-page and off-page actions and a content optimization agent sit on the Starter plan, which is more prescriptive than tools that stop at reporting. The point we hold back reflects reviewer reports that Athena recommends more than it executes, so a team still has to write and ship the changes.
Connectivity earns a 4 for most buyers and a 5 at Enterprise. GA4, Search Console, Shopify, Webflow, Framer and CSV export are on paid plans. API access costs extra on Starter, and SSO and BI dashboards are Enterprise-only.
That puts Athena HQ at 20 out of 25 on the Five-C Scorecard. Few tools in this category top that on paper. The score that should worry you is the 3, because cost per answer is the criterion that grows with your success: the more you want to measure, the more you pay.
Athena vs. Profound, Peec AI, Otterly and Scrunch
The comparison below uses each vendor’s own pricing page as checked in October 2026. These tools change packaging often, so treat the table as a starting point and confirm before you buy.
| Tool | Entry paid price | What the plan buys | Engines on entry plan |
|---|---|---|---|
| Athena | $295/mo (Starter) | 3,600 AI responses, unlimited prompts | 11 |
| Profound | Custom (Enterprise); free 7-day trial | Tailored prompt plan, daily tracking | Up to 9 on Enterprise |
| Peec AI | Not shown in dollars on its page | 50 prompts, 4,500 AI answers (Starter) | Choose 3 |
| Otterly | $29/mo (Lite) | 15 prompts | 4, others as add-ons |
| Scrunch | $300/mo monthly, $250 annual | 350 custom prompts, 3 personas | 6 named engines |
Profound is the enterprise pick for teams that want a vendor relationship and do not mind custom pricing. Its public page lists a free trial of 50 preset prompts for seven days and an Enterprise plan covering up to nine engines, including Exa Search and ChatGPT Shopping. If you want the full field of options, our roundup of Profound alternatives covers who else competes at that tier.
Peec AI prices by prompt and lets you pick three models per plan, with Starter, Pro and Advanced at 50, 150 and 350 prompts and 4,500, 13,500 and 31,500 monthly answers. Those answer counts make Peec the easiest tool to compare with Athena directly, because both effectively sell AI responses. Peec’s Starter delivers more answers than Athena’s Starter but on three models instead of eleven. Our Profound vs. Peec AI breakdown goes deeper on that trade.
Otterly is the budget option. Lite at $29 tracks 15 prompts across ChatGPT, Google AI Overviews, Perplexity and Copilot, with Claude, Google AI Mode and Gemini sold as add-ons. Standard at $189 covers 100 prompts and Premium at $489 covers 400. For a single brand testing whether AI visibility matters at all, Otterly is the cheaper experiment.
Scrunch sits closest to Athena on price. Its Starter plan is $300 month to month or $250 per month billed annually, with 350 custom prompts, three personas and five page audits. Scrunch has leaned into fixing how AI agents read your site, which we cover in our Scrunch AI review. Athena leans harder into engine breadth and content recommendations.
Who should buy Athena, and who should wait?
Athena suits a marketing team or agency that needs coverage across many engines, wants a published price instead of a procurement cycle, and has the discipline to design a tight prompt set. A B2B software company whose buyers split between ChatGPT, Claude and Perplexity gets real value from eleven engines on one plan. An agency managing a few clients can use the free tier to show a prospect what AI engines say about them, then move the account to Starter once there is budget.
It suits less well a brand that needs to track hundreds of prompts daily, because credit math turns against you at that volume and an Enterprise conversation becomes unavoidable. It also suits less well a team that wants a tool to do the work for it. Athena recommends and guides. Someone still has to write the page, pitch the publication or fix the schema.
There is one more gap no tracker closes. Every tool in this review measures whether AI engines cite you. None of them earns the citation. Engines pull heavily from published articles, reviews and authoritative third-party pages, which is why visibility work and earned media keep converging. Athena can tell you which publications the engines trust in your category. Getting your brand onto those pages is a PR job, not a software feature.
If you are trialing Athena, start on the free plan with 20 to 30 prompts that a real buyer would ask, pick the four or five engines your audience uses, and run them weekly rather than daily for the first month. You will spend a fraction of your credits and learn whether the sources Athena surfaces are ones you can act on. That answer, more than any feature list, tells you whether the $295 is worth it.
Athena HQ is a well-built, broad and fairly priced AI visibility platform with one structural catch: its meter runs on answers, not prompts. It scores 20 of 25 on the Five-C Scorecard, leads its price class on engine coverage, and asks you to be the one who keeps the tracking lean. Buy it for breadth. Budget for the credits.