Profound vs Athena AI for GEO: Plans, Engines, Credits and Access Compared

Profound vs Athena AI for GEO is mostly a question of how each vendor sells access. AthenaHQ publishes a free tier and a $295 monthly Starter price, with credits where one credit is one AI response. Profound's brand plans are a free seven-day Trial and a custom Enterprise plan with no monthly figure; its pricing FAQ also mentions a self-serve Agency Growth plan, without a price in the text read.

If you searched "profound vs athena ai for geo", the useful comparison is not which brand is louder. It is which engines each plan covers, how much each unit of usage buys, what the free entry point includes and which plan unlocks the API. This page reads each vendor's public pricing pages as they stood in October 2026. It is a specification comparison, not a trial, so it reports no measured results. Prime AI Visibility publishes this site and sells a competing product, so it appears later in the article and is not ranked against the two vendors.

Profound vs Athena AI for GEO: the short answer

1. Entry point. AthenaHQ's Essential plan is free, with a $25 credit and 300 credits. Profound's Trial is free, with 50 prompts run daily for seven days and limited AI Marketer credits.
2. Paid price. AthenaHQ shows $295 a month for Starter. Profound's brand table shows "Custom" for Enterprise and no monthly figure; the FAQ names a self-serve Agency Growth plan with 400 credits per month per client workspace and gives no price for it.
3. Engines. AthenaHQ lists five engines on Essential and eleven models on Starter. Profound's Trial tracks ChatGPT, Gemini and Google AI Overviews, and Enterprise lists capability for nine answer engines.
4. Billing unit. AthenaHQ counts credits, and says one credit is one AI response. Profound counts prompts tracked, plus Agent credits, which its FAQ defines as the unit of Agent usage that varies with how complex each run is. A Profound credit is not a fixed AI-response unit.
5. API. AthenaHQ sells API access as a paid add-on on Starter and includes it on Enterprise. Profound lists API "None" on the Trial and "Yes" on Enterprise.

What GEO tracking tools are measuring

Both products track how AI engines describe and cite a brand, and both add actions or agents on top. That makes the shortlist harder than a feature grid suggests, because the two vendors group similar capabilities under different names and plan walls. Most buying mistakes come from comparing one vendor's entry plan with the other vendor's enterprise plan.

An AI Visibility Platform answers a measurement question first: what did the engines say, and which sources did they use? Measurement also has to stay separate from outcomes. A brand named in an answer, a website cited as a source, an explicit recommendation, a referral visit and a conversion are five different facts, and no tool on this page turns one into another. The Prime AI Visibility metrics page defines the first three, and Percepture's guide to AI search visibility metrics covers how a team can connect them to qualified demand and revenue. Percepture is a related company, and the guide is a framework, not a result from either vendor.

Method: how each vendor was read

Each vendor was read on the same five checks, in the same order: what the plan includes, which engines are listed, what the usage unit is, whether an API or export is listed, and what the price page shows. A field is marked "Not listed" when the vendor's own pages do not state it, which is a question for the demo, not proof that the feature is missing.

The sources are each vendor's pricing page, read in October 2026. Google's SEO Starter Guide tells site owners that search engines need to find, understand and be able to show helpful pages, which is why the content actions in both products matter less than the quality of the pages they act on. Bob Generale wrote this comparison from those public pages. Treat every figure as a snapshot, because plans and limits change, and confirm anything you rely on in writing before you buy.

Plans and limits side by side

The first table covers the entry points and what each page shows for price.

	AthenaHQ	Profound
Free entry	Essential: $25 free credit, 300 credits	Trial: 50 prompts daily for 7 days
Paid price shown	Starter $295 a month	Brand table: Enterprise Custom, no monthly figure
Usage unit	Credits (1 credit = 1 AI response)	Prompts tracked; Agent credits (vary by workflow complexity)

The second table covers plan sizes and engine coverage.

Plan	What the page lists	Engines
AthenaHQ Essential	300 credits, unlimited users	5 engines
AthenaHQ Starter	3,600 credits, unlimited topics, prompts and competitors	11 models
Profound Trial	50 unique prompts, 1 language, 1 region	3 engines
Profound Enterprise	Custom prompts, languages and regions	Up to 9 engines

Credits and prompts are different units, and a Profound Agent credit varies with workflow complexity, so a larger number on one row says nothing about the other row. AthenaHQ's Enterprise plan is also custom, with custom credits, websites and access controls.

AthenaHQ: a published price, with actions on top

AthenaHQ's pricing page describes three plans. Essential is free, with a $25 credit that buys 300 credits and covers ChatGPT, Perplexity, Google AI Overviews, Gemini and Copilot. It lists unlimited users, prompt and response analysis, sources and competitor insights, content recommendations and an Athena AI agent.

Starter is $295 a month with 3,600 credits, where a credit is one AI response. The page lists visibility across eleven models, including ChatGPT, Perplexity, Google AI Overviews, AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI and Mistral, with additional models available on request. It also lists unlimited topics, prompts and competitors, country-level support, CSV data export, integrations, on-page and off-page actions and a content optimization agent. A toggle shows 17 percent off for annual billing.

Because a credit equals one response, the credit count is a ceiling on how many answers can be collected a month. A prompt tracked across several engines, countries or repeated runs uses several credits, so "unlimited prompts" and the 3,600-credit allowance describe different limits. API access and extra credits are paid add-ons on Starter. Enterprise adds SAML and OIDC sign-on, an audit log, multi-region and multi-language support, persona targeting and dashboards with support for Tableau, Power BI and Looker. The plan comparison also lists Google Analytics and Search Console integration, which lets a team set AI visibility next to site traffic.

Fit: a team that wants broad engine coverage and a clear monthly price, with actions and a content agent in the same product. Limitation: the API and extra credits cost more on Starter, and the credit unit makes the monthly answer count the number to check.

Profound: a trial, then a sales conversation

Profound's pricing page shows a brand table with a free Trial and a custom Enterprise plan, and presents an "AI Marketer" with agents, a context manager and projects around its monitoring. The Trial is for companies that want to try Profound before getting a demo. It lists limited AI Marketer credits, 50 unique prompts run daily for seven days, tracking across ChatGPT, Gemini and Google AI Overviews, one language, one region and unlimited seats. It also lists Agent Analytics, which tracks AI-sourced traffic across unlimited domains, with integrations for Akamai, AWS, Cloudflare, Fastly, Google Analytics, Google Cloud Platform, Netlify, Vercel and WordPress.

The Trial lists no history, no exports, no API and no support. Its prompts are a recommended set based on the company's industry and cannot be customized; on Enterprise, prompts can be edited, disabled or added. Enterprise is custom, with credits for the whole team, a tailored prompt tracking plan, daily prompt frequency, ChatGPT Shopping, SSO and SAML with SOC 2 compliance and dedicated support. The page lists capability for ChatGPT, Perplexity, Google AI Mode, Gemini, Microsoft Copilot, DeepSeek, Anthropic Claude, Google AI Overviews and Exa Search. For the wider product picture, see our review of Profound's AI visibility products.

The FAQ also describes Agent pricing as credit-based. Credits are consumed each time an Agent runs, in proportion to its complexity, so simpler Agents use fewer credits and multi-step Agents use more. The platform shows an estimated credit cost before a run, and a self-serve Agency Growth plan is mentioned with 400 credits per month per client workspace; no price for it appears in the text read. Because the brand table shows no monthly figure, the practical test is the sales conversation: ask what the prompt tracking plan costs, how many prompts and engines it includes, and how many credits your own Agent workflows would use.

Fit: an enterprise team that wants ongoing daily tracking, custom prompts, agent analytics and security controls and can buy through a sales process; an agency may look at the self-serve Agency Growth plan the FAQ mentions. Limitation: the brand table shows no monthly price, and the Trial exposes no exports, history, API or custom prompts.

Where Profound vs Athena AI for GEO differs in practice

Three differences matter more than the feature lists.

• How you start. AthenaHQ's free plan starts with a $25 credit balance and 300 credits; the page does not say the allowance renews. Profound's Trial is a seven-day window.
• How cost scales. AthenaHQ cost scales with answers collected and add-ons. Profound cost is set in a custom plan around prompts, engines, languages and regions.
• How the data leaves. AthenaHQ lists CSV export on Starter and an API as an add-on. Profound lists exports and API on Enterprise only.

Neither pricing page documents how a saved answer can be reopened later. For any score you plan to show a finance lead, ask each vendor whether the full answer text and its source links can be opened and exported.

Where Prime AI Visibility fits

Prime AI Visibility is an AI Brand Visibility Tool built around saved answers, and it is not ranked against AthenaHQ or Profound. Its public pages describe saved answers for ChatGPT, Claude, Perplexity, Gemini and an AI Overview-style preview built from Google-grounded answers, with Brand named, Website cited, Source links and Explicit recommendation recorded as separate facts. Saved reports export as PDF or CSV at no credit cost. The pages read do not describe a public API, so a team that needs scheduled programmatic reads should treat that as a limitation.

The free Flash plan runs five questions across ChatGPT, Claude and Perplexity, up to 15 answers, one check a month. Starter at $69 a month adds Gemini and the AI Overview-style preview, with 25 questions per check and 200 shared credits. The Prime AI Visibility features page shows the saved-answer evidence, and the plan and credit table shows current limits. If you are still deciding what to measure, the AI visibility audit process comes first, and an AI visibility strategy tells you which pages and questions deserve work.

A five-question check to run with either vendor

Run the same five questions, in the same order, with each vendor, and save the written answers.

1. What does one credit, or one tracked prompt, buy in plain terms? Ask for a worked example using ten of your own prompts; on Profound's Trial the prompt set is recommended and cannot be customized, so this exercise needs Enterprise or demo access, or a manual comparison of saved answers.
2. Which engines, languages and regions are included at my plan? Record the exact list.
3. What happens when I run out? AthenaHQ lists extra credits as an add-on; ask Profound how a larger prompt plan is priced.
4. Can I open the full answer and its sources later? Aggregate scores without the underlying answer cannot be checked.
5. Which plan includes the export or API I need? Get it in writing.

Score each answer as Stated, Partly stated or Not listed, never with an invented number. The result is a decision grid you can show a finance lead or a client.

An illustrative example: five buyer questions for a market research app

Assume a team is tracking Pulse Terminal, a public investing research app that describes grading stocks and ETFs and answering questions with sources under the answer. This is an illustrative public website, not a Prime client, not an endorsement and not a measured result, and the questions below are invented to show how a vertical question set is built.

Buyer question	What to record
Which app grades stocks on momentum and growth?	Brand named, sources
What tool explains why a stock has a given grade?	Website cited
Which research apps cite sources under answers?	Competitors present
How do I compare stock research apps for beginners?	Recommendation
Where can I screen ETFs by trend?	Brand named, sources

For each question, record the engines checked, save the full answer, then count the brand named and the website cited as separate facts. Next, ask whether each shortlisted tool can keep those rows. In a credit-based monitor, each engine and each rerun uses credits, so five questions across several engines uses several times five credits. On Profound, custom prompts need Enterprise access, since the Trial prompt set cannot be customized, so the question is how many of the five fit inside the tracked prompt count and which engines they run on; a manual run is the fallback. If an answer is kept in full, the team can rebuild this table in its own tools.

The same questions can be run by hand first. Our guide to AI visibility audits shows how to freeze the wording and the engines so a later run is comparable.

Decision rubric: which one fits which team

If you need to...	Look at...
Start free and see a monthly price	Credits, engines, add-ons
Review the exact engine lists and controls	Engines, prompt plan, security
Keep the full answer as evidence	Saved answers, export format

A short version of the logic follows. If your first problem is knowing what engines say about your brand and you want a published price, a monitor with a clear credit unit, such as AthenaHQ, gives you the simplest comparison. If you run a larger program and want agent analytics, custom prompts and enterprise controls through a sales process, Profound matches the job; its Enterprise list names up to nine answer engines and AthenaHQ Starter names eleven models, so compare the actual lists against the engines your buyers use. If you want to see answers and keep evidence at a low entry point, a saved-answer AI visibility tracker with a clear question count and export format may matter more than either unit.

What to do before you pay for either tool

A tool only helps if the questions behind it are right, so build the question set first. Write 20 to 30 buyer questions across problem, category, shortlist and comparison stages, name three to five competitors, and freeze both for a month. A free AI visibility checker run on five questions is a cheap way to test the wording first. Then decide which fields you will review each month: brand named, website cited and source links are a sensible start, with referral and conversion joined from your own analytics. For hands-on implementation work on the pages and sources those answers point to, Percepture offers generative engine optimization services, and Prime AI Visibility has a commercial relationship with Percepture.

Google's SEO Starter Guide is a useful test for the content side of any plan: helpful, findable pages with clear titles, descriptions and links come before any tool setting. An agent speeds up good pages and bad pages equally.

If you are leaving AthenaHQ rather than comparing it with Profound, read our guide to AthenaHQ alternatives by reason, price and limits.