Attensira vs AthenaHQ

Who do AI engines list as the best GEO tools?

"Best GEO tools" is one of the questions we track. On 3 October 2026 ChatGPT answered it with eight tools: Profound, Peec AI, Otterly.ai, Scrunch AI, Semrush, Ahrefs, AthenaHQ and Frase. It described AthenaHQ as a "good middle ground between monitoring and optimization". Attensira was not on the list.

From 21 September to 4 October 2026, ChatGPT and Perplexity gave 3,534 answers to the 61 questions we track. AthenaHQ was named or linked in 361 of the 3,666 competitor readings in that window. Attensira was named in 197 answers, every one on the three questions that already contain our name. AthenaHQ is in the answer to "best GEO tools"; we are not yet. That is the baseline, and the crew this page describes is working against it on our own site.

What does AthenaHQ sell?

AthenaHQ, which calls itself Athena, prices everything in credits, and its pricing page says plainly what a credit is: one AI response. On 4 October 2026 it listed three plans.

• Essential, free: 300 credits, described as $25 of value, across ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot, with unlimited members, competitor insights, content recommendations and the Athena AI agent.
• Starter, $295 a month: 3,600 credits a month across eleven models, including AI Mode, Claude, Grok, DeepSeek, Meta AI and Mistral; integrations, CSV export, a content optimization agent and on-page and off-page actions. API access is a paid add-on. Annual billing takes 17% off.
• Enterprise, custom: negotiated credits, a knowledge base, discrepancy detection, SSO, audit logs, multi-region support and a recommendation engine, with white-glove setup.

So AthenaHQ is more than a tracker. It has a content agent and it names actions, on your pages and off them. That makes it one of the closer products to Attensira on paper, and it is why the details matter.

Where does Attensira come out ahead?

Attensira is software that does your AI-search visibility work: whatever it takes to win the answer. Its advantage is not that it has agents, because AthenaHQ has one too. It is that its agents are a crew that carries the work all the way to your site, under rules you can read.

The work lands somewhere you control. On a site in a Git repository, a fix is a pull request, opened as a draft by default, on a branch used once, never pushed twice. On Webflow or WordPress, it is an unpublished draft in your own editor. A new article goes to a pull request, a CMS or Notion draft, or a copy to paste. AthenaHQ's pricing page names actions but does not say where they publish.

Nothing leaves without your yes. Workspaces start in Draft, where nothing leaves the workspace until you approve it. You can let hygiene work, such as structured data and alt text, go out on its own in Act mode, but anything that states a claim, a price, a number, a competitor's name, waits for a person in every mode. AthenaHQ's pricing page does not describe an approval rule.

Every change is judged. When a change ships, the crew reads the same questions at +7, +14 and +30 days and compares them with the week before, stating how many answers each verdict rests on. "No change" and "too close to call" are verdicts too.

The off-site work is ordered. The crew starts with pages an engine already cites for your question that name a competitor and not you, because the engine has already decided it trusts them. Pitches go from your own mailbox. Replies to cited Reddit or Hacker News threads are drafted for you to post.

Do eleven models beat fewer, deeper readings?

Sometimes, and it is worth being precise about when. Coverage answers the question "where do my buyers ask?". If a meaningful share of your buyers use Grok or Meta AI, a tool that reads them sees something a narrower tool cannot, and no amount of depth makes up for a surface that is never read.

Depth answers a different question: "did this answer really change?". AI answers vary from one asking to the next, so a rate built on a single reading per day swings on noise. That is why our larger plans read each question three times per reading, why every verdict carries its sample size, and why a change that sits inside the noise is reported as no change rather than a win.

With a fixed budget, every product trades one for the other. AthenaHQ's credit model lets you choose the trade yourself, spending responses on more models or more prompts. Attensira's plans fix the engines and sampling and put the rest of the money into work. Neither is wrong; they are answers to different questions, and the right one depends on whether you are still mapping the territory or already know where you are losing.

Can you use both?

You can. Some teams will want AthenaHQ's eleven-model readings and Attensira's crew working the questions that matter most. The two do not share data, and you would be paying twice to read some of the same answers. If you already pay for AthenaHQ and your actions list keeps growing faster than your team can work it, that is the moment to bring the same prompts to Attensira.

How did we check this page?

AthenaHQ's facts come from athenahq.ai/pricing, fetched on 4 October 2026 and cited cell by cell below. Attensira's facts come from docs.attensira.com, with our prices, credits and engines rendered from the same source as our pricing page. Answer counts and the ChatGPT and Perplexity readings come from our Attensira workspace for attensira.com, read through the Attensira MCP. AthenaHQ's model list and credit allowances are the facts most likely to change; we re-read them every quarter.

Related reading: AthenaHQ alternatives, ranked, Peec AI vs Athena, and how the crew does the work.