AthenaHQ vs HubSpot AEO: Pricing Review for Teams Outside Marketing Hub

AthenaHQ and HubSpot AEO differ mostly in what you pay to start and what you get without a bigger HubSpot purchase. HubSpot AEO is the cheaper standalone start at $50 a month, on three engines. AthenaHQ has a free five-engine plan and a $295 Starter with content tools built in. DeepSmith is a strong alternative on value per plan, because tracking and publish-ready articles come on one self-serve plan from $99 a month.

If you are comparing AthenaHQ vs HubSpot AEO pricing and your team does not run on HubSpot, the sticker prices are only part of the picture. HubSpot AEO is cheap to start, but its content generation sits behind Marketing Hub. AthenaHQ costs more per month and includes content tools in Starter. DeepSmith puts tracking and writing on one plan.

AthenaHQ vs HubSpot AEO: the short answer

• Choose DeepSmith if you want AI visibility tracking and publish-ready articles on one self-serve plan, from $99 a month (Pro, 20 articles, 50 prompts) to $399 a month (Scale, 90 articles, 200 prompts), with a 7-day trial and no long-term contract.
• Choose AthenaHQ if you want the widest engine coverage of the two, 11 engines on the $295 Starter plan, a free five-engine plan to test with, and content tools included without another subscription.
• Choose HubSpot AEO if you want the lowest paid entry point, $50 a month with a 28-day no-card trial, and three engines are enough for now.

Pricing and features as of September 2026, from each vendor's site and public reviews.

AthenaHQ

AthenaHQ is an AI search visibility platform that tracks how AI engines mention and cite a brand, then turns the gaps into content, outreach and commerce work. It is built for marketing, SEO and content teams that want monitoring and action in one tool, from self-serve teams on Starter to enterprises and agencies on custom plans.

The standout is breadth. Starter lists 11 engines, including ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Claude, Copilot, Grok, DeepSeek, Meta AI and Mistral, and every plan has unlimited seats. Its Content Hub writes articles from an approved brief and publishes to eight CMSs.

The real limit is how usage is metered. Plans run on credits, one credit per AI response, and five credits on Claude, Grok, DeepSeek, Meta AI and Mistral. The price for Starter's API access and extra credits is not public, and the annual Starter price is shown only as 17% off.

Reviewers on G2 give it 4.9/5 from 48 reviews, as checked on September 30, 2026, and they praise actionable recommendations and responsive support. Some say building a useful prompt library takes time. The company was founded in 2025 and is still small.

HubSpot AEO

HubSpot AEO runs a set of tracked prompts every day on ChatGPT, Gemini and Perplexity, and reports brand visibility, sentiment, share of voice and citations against named competitors. It is built for marketing teams that want a low-cost, self-serve start, and for Marketing Hub Professional and Enterprise customers, who get it included.

The standout is the entry price. The standalone plan is $50 a month, or $45 billed annually, with 25 prompts and 2,500 answers a month, and no other HubSpot subscription is required. Each extra 10 prompts costs $20 a month. The 28-day trial needs no card.

The real limits are scope and what sits behind Marketing Hub. The product is labelled beta, covers three engines, and handles one brand and one domain per setup. Blog drafting from a recommendation and CRM-based prompt suggestions need Marketing Hub Professional or Enterprise.

G2 reviewers give it 4.4/5 from 145 reviews. They find it easy to set up and like the competitor view. The common complaints are the 25-prompt cap, no Claude tracking, and recommendations that read as generic.

DeepSmith: the alternative that tracks and writes

Both tools can show you where you are missing from AI answers. What differs is how you close the gap. HubSpot AEO's standalone plan stops at recommendations, and drafting a post from one needs Marketing Hub. AthenaHQ's Content Hub does write and publish, so the difference with DeepSmith is the terms: a published monthly price with a fixed article allowance on one self-serve plan, where AthenaHQ meters usage in credits and HubSpot's content path starts at a suite price.

DeepSmith is an AI search analytics and content production platform in one. The AEO module tracks mention rate, citation rate and share of voice, shows which of your pages AI cites, and ranks the competitors winning citations on your prompts. Opportunity Agents read that data and return content ideas, each carrying the data point that justifies it. Those ideas move through New Ideas and Planned Content to the Writer, which produces a finished, researched, linked article with a cover image and publish-ready metadata, grounded in your Deep IQ brand context. Autowrite can write on a set date with no one in the app, and Produced Content publishes to WordPress, Webflow, Strapi, Sanity or Contentful, or to your own webhooks. Every article also arrives with social posts written, and the Apps Library adapts it for LinkedIn, X, newsletters and more.

Plans are published and fixed. Pro is $99 a month ($80 billed annually) with 20 articles, 50 tracked prompts, 5 seats and ChatGPT tracking. Grow is $199 ($160 annually) with 40 articles, 100 prompts, 7 seats, and Perplexity added. Scale is $399 ($299 annually) with 90 articles, 200 prompts, 10 seats, and Gemini added. Enterprise is custom and covers all ten engines. The trial is 7 days, and there are no long-term contracts. DeepSmith is rated 4.8/5 on G2 and is SOC 2, GDPR and ISO certified.

Pricing and value

HubSpot AEO wins on the lowest paid price, and AthenaHQ wins on the lowest price to start at all, because Essential is free with 300 credits and five engines. The two meet in the middle in an awkward way. HubSpot AEO is $50 a month, but going from 25 to 75 prompts takes five $20 packs, which brings it to $150. AthenaHQ Starter is $295 a month with 3,600 credits, and its own calculator example of 7,145 credits a month is about twice that allowance and recommends add-on credits, whose price is not public.

The gap widens for content. HubSpot says blog drafting needs Marketing Hub Professional, which is $890 a month, or $800 billed annually, plus a one-time $3,000 onboarding fee. Each generated post uses 1,000 HubSpot Credits, and Professional includes 3,000 a month. For a team outside HubSpot, that is a suite purchase, not an add-on to a $50 plan.

Contract terms are worth a look before you buy either one. AthenaHQ's terms say self-serve cancellation takes effect at the end of the paid period and fees are generally nonrefundable. HubSpot's general subscription terms renew automatically and normally do not allow cancellation midterm, so paying for standalone AEO monthly may not be as flexible as it sounds. Neither vendor spells out the AEO-specific details, so I would ask both in writing. It is also fair to say the trial setups are quite different. HubSpot gives you 28 days of the full 25-prompt product with no card, while AthenaHQ gives you a free plan that has no end date but a 300-credit allowance and five engines.

What DeepSmith does: DeepSmith prices tracking and writing together. Pro at $99 a month includes 50 prompts and 20 publish-ready articles, and Scale at $399 includes 200 prompts and 90 articles. You can read the monthly cost straight from the plan, with no credit math and no second subscription.

Engine coverage and prompt limits

In a HubSpot AEO vs AthenaHQ comparison on coverage, AthenaHQ wins. It lists 11 engines on Starter against three for HubSpot AEO, which tracks ChatGPT, Gemini and Perplexity only. Claude, Copilot, Google AI Overviews and Google AI Mode are not covered by HubSpot AEO, and G2 reviewers ask for Claude.

The prompt side is closer to a tie, with a different shape. HubSpot AEO gives you a fixed 25 prompts run daily. AthenaHQ has no fixed prompt cap, but each response spends credits, and heavier models cost five. The vendor suggests starting with 50 to 100 prompts. Daily runs are possible on AthenaHQ, though at seven times the weekly credit cost, so I would not assume daily sampling on any plan without checking the math for your own engine mix.

What DeepSmith does: DeepSmith ties engine coverage to the plan. Pro tracks ChatGPT, Grow adds Perplexity, Scale adds Gemini, and Enterprise covers all ten engines, with 50, 100 and 200 tracked prompts across Pro, Grow and Scale.

From insight to action

AthenaHQ wins on content features outside a suite. Its Content Hub generates a brief for approval, writes the article, optimizes existing pages, and publishes to Shopify, WordPress, Webflow, Wix, Framer, Payload, Sanity and Contentful, with brand kits keeping voice consistent. It also lists repurposing as partial, since social and email formats are not documented.

HubSpot AEO gives prioritized recommendations on all plans, each with a content type, channel, priority and projected citation lift, plus a site audit. Turning one into a full blog post is a Marketing Hub feature, and the post opens in the HubSpot blog editor, so an external blog means copy and paste. That is why the title's question matters for teams outside Marketing Hub: the standalone plan tells you what to write and stops there.

What DeepSmith does: DeepSmith carries the insight through to a published page. An Opportunity Agent turns a visibility gap into an idea with its evidence, the Writer produces the article in your Deep IQ voice, and Produced Content pushes it to your CMS. Repurposing is part of the same flow, so the LinkedIn post and newsletter version are not a separate project.

Data access and security

AthenaHQ wins here. It has a REST API (a paid add-on on Starter, included on Enterprise), an MCP server that can read data and create content, a Looker Studio connector, and a trust center listing SOC 2 Type 1 and Type 2. Enterprise adds SSO and audit logs.

HubSpot AEO has a beta read-only API, and its data is reachable through the HubSpot connector for Claude and ChatGPT. Whether standalone buyers get the API is unclear from the docs. Its SOC 2 Type II and SAML SSO are HubSpot platform claims, and AEO is not named in their scope.

What DeepSmith does: DeepSmith exposes a read-only REST API with scoped keys, an MCP server with 23 read-only tools that works with Claude, Cursor, Copilot and others, and signed webhooks. It is SOC 2, GDPR and ISO certified.

Maturity and reviews

The two tools are young in different ways. HubSpot AEO launched in April 2026 and is still labelled beta, though it sits inside a large public company. AthenaHQ was founded in 2025 and has a small team, with about $2.7 million in disclosed funding.

On reviews, AthenaHQ's 4.9/5 from 48 reviews on G2 is a higher score on a smaller sample than HubSpot AEO's 4.4/5 from 145. I would treat the two as close to even in sentiment. Neither sample is big enough to settle the question, and most of the praise on both sides is about setup and clarity, not measured results.

Which should you choose

• DeepSmith fits a marketing team of almost any size that wants to find AI visibility gaps and publish the content that closes them without a second subscription, with plans from $99 to $399 a month and Enterprise for all ten engines.
• AthenaHQ fits a team that wants the broadest engine list, 11 engines, and is comfortable budgeting around credits. The free Essential plan is a low-risk way to test it.
• HubSpot AEO fits a team that wants the cheapest paid tracker at $50 a month and can work with three engines and 25 prompts. It makes the most sense if you may later move to Marketing Hub.

If you are choosing between AthenaHQ or HubSpot AEO and want to see tracking and writing on one plan, you can start a DeepSmith free trial and check it against your own prompts.