AthenaHQ documents a public API, an MCP server and BI connectors, while HubSpot AEO offers access from AI assistants and a beta read API with no documented BI connectors. For teams that report on AI visibility in their own tools, AthenaHQ is the clearer fit, and HubSpot AEO suits teams that stay inside HubSpot. DeepSmith is a strong option on breadth of data: a documented read-only REST API and a 23-tool MCP server cover visibility metrics, the AI answers, Content Map topics and the articles it produced, behind one key.
If your team builds its own dashboards, the question in AthenaHQ vs HubSpot AEO for API and MCP access is not which tool has the nicer interface. It is whether the visibility data can leave the tool at all, and in what form. AthenaHQ and HubSpot AEO answer that very differently, and the gap shows up once you try to feed a warehouse or ask an AI assistant about your numbers. DeepSmith also covers this job, and it is worth a look alongside the other two.
AthenaHQ vs HubSpot AEO: the short answer
- Choose DeepSmith if you want the visibility data and the content it produced available through one documented REST API and a 23-tool MCP server, from a plan that starts at $99 a month with a 7-day free trial.
- Choose AthenaHQ if you need an API, an MCP server and a Looker Studio or Power BI route, and you can pay for the API add-on on Starter or move to Enterprise.
- Choose HubSpot AEO if your team already works in HubSpot, wants to ask Claude or ChatGPT about AEO results, and can live with a beta read API and no documented BI connectors.
Data access compared in one table
| Criterion | DeepSmith | AthenaHQ | HubSpot AEO |
|---|---|---|---|
| Entry price (monthly) | $99/mo (Pro) | $295/mo (Starter), free Essential plan | $50/mo (standalone) |
| Free trial | 7-day free trial | Free Essential plan, $25 free credit | 28-day trial, no card |
| Engines at entry tier | ChatGPT | 11 on Starter, 5 on Essential | 3 |
| Public API | Yes, read-only | Yes, paid add-on on Starter | Partial, beta read API |
| MCP server or assistant access | Yes, 23 read-only tools | Yes | Partial, Claude and ChatGPT connector |
| BI or warehouse connectors | - | Yes, Looker Studio connector, Enterprise dashboards | Not listed |
| API included on entry plan | Yes | Add-on, price not published | Standalone eligibility unclear |
| Security certifications | SOC 2, GDPR and ISO certified | SOC 2 Type 1 and Type 2 | SOC 2 Type II, platform level |
| G2 rating | 4.8/5 | 4.9/5 | 4.4/5 |
Pricing and features as of September 2026, from each vendor's site and public reviews.
AthenaHQ in brief
AthenaHQ is an AI visibility platform that tracks mentions, citations, position, sentiment and share of voice across up to 11 AI surfaces. For data access it has the most documented routes of the two. It lists a REST API with x-api-key authentication and website-scoped keys, an MCP connection for ChatGPT, Claude or any MCP client, and a Looker Studio community connector that needs an API key. Power BI and Microsoft Fabric appear in its API docs.
The limits are about where each route sits. On Starter, API access is a paid add-on with no public price, and the executive dashboard with Tableau, Power BI and Looker support is Enterprise only. CSV export is paid plans only. AthenaHQ also says its Starter plan is best for self-guided small and mid-sized teams, so the full data stack mostly lives above it.
Reviewers on G2 give it 4.9/5 from 48 reviews, and they praise the citation and competitor analysis. Nothing in that feedback is specific to the API.
HubSpot AEO in brief
HubSpot AEO is HubSpot's answer engine optimization tool, still labelled beta. It runs 25 prompts daily across ChatGPT, Gemini and Perplexity from $50 a month, or comes included in Marketing Hub Professional and Enterprise.
On data access, HubSpot's knowledge base documents a connector that lets you ask Claude or ChatGPT about AEO performance, manage tracked prompts and review recommendations. A Super Admin has to approve it, and the page does not say which protocol it uses. HubSpot's developer docs also describe a versioned 2026-09-beta read API for prompts, historical runs, answer text, citations and recommendations. Those docs name Marketing Hub products, so it is unclear whether a standalone AEO account qualifies.
No AEO export or BI connector is documented. On G2, HubSpot AEO has 4.4/5 from 145 reviews, and reviewers like the setup and the clear competitor reporting.
DeepSmith: the alternative that exposes visibility data and content together
AthenaHQ spreads its data routes across plan levels, and HubSpot AEO has a beta API and an assistant connector. DeepSmith puts one documented route in front of the data, and the data itself is wide. The read-only REST API returns AI visibility (mention rate, citation rate, share of voice, per-platform and per-category results, the competitor leaderboard, cited sources, your cited pages, prompts and prompt analytics), the AI answers themselves, Content Map topics by buyer stage, the content library including article bodies, and Deep IQ assets. Scoped keys limit what each key can read, the limit is 120 requests per minute per workspace, reads spend no credits, and the OpenAPI spec is published.
The MCP server gives an AI assistant 23 read-only tools over the same workspace, and it works with Claude, Claude Code, Microsoft Copilot, Perplexity, Cursor, VS Code, Windsurf, Gemini CLI, Codex, Zed, Raycast and JetBrains AI Assistant, with one URL and an API key per workspace. Signed webhooks (HMAC-SHA256) notify your own systems about content status changes, Opportunity Agent runs, agent tasks and Deep IQ analysis. DeepSmith doesn't list native BI connectors, so reporting jobs read from the REST API.
Because the content library sits behind the same key, the articles the platform produced come through the same API as the metrics that triggered them.
Plans run $99 a month for Pro, $199 for Grow and $399 for Scale, with a 7-day free trial and no long-term contracts.
API access
AthenaHQ wins this one, with HubSpot AEO a distant second. AthenaHQ documents a REST API with website-scoped keys, and its authentication guide is public. Results can include answer text, collection time, citations and brand or competitor positions, and the API also has analytics for position, share of voice and shopping. The catch is price: API access is an add-on on Starter, included on Enterprise, and the add-on price is not published.
HubSpot's route is a beta. The 2026-09-beta developer guide describes read access to prompts, runs, answer text, citations and recommendations, so the same kinds of data are there, just earlier in their life and tied to Marketing Hub products in the docs. If you search for an AthenaHQ vs HubSpot AEO API comparison, the plain reading is that AthenaHQ has a documented product and HubSpot has a documented preview.
What DeepSmith does: The REST API is documented at docs.deepsmith.ai with a published OpenAPI spec and scoped keys such as visibility:read and content:read. It returns the AI answers as well as the rates, so an analyst can rebuild a chart from the raw responses.
MCP and AI assistant access
AthenaHQ has the broader MCP route, and HubSpot has the more guarded one. AthenaHQ's MCP connection lets ChatGPT, Claude or any MCP client read data, create content and briefs, manage prompts and update brand facts, within the permissions on the account. AthenaHQ does not state which plans include MCP, so check that before you buy.
HubSpot's connector covers AEO performance, prompt management and recommendations for Claude and ChatGPT. It needs Super Admin approval, and turning a recommendation into a blog post still needs Marketing Hub Professional or Enterprise. For a team that wants to ask questions in Claude, that may be enough.
What DeepSmith does: The MCP server is read-only on purpose. It lets an assistant analyse visibility, competitors, the Content Map and the content library in conversation, and it never changes the workspace, so a stray prompt cannot edit anything. Setup is one URL and one API key per workspace.
BI connectors and exports
AthenaHQ wins here on documentation alone. It lists a Looker Studio community connector that needs an API key, Power BI and Microsoft Fabric in the API docs, and an executive dashboard with Tableau, Power BI and Looker support on Enterprise. One open question is whether the Looker Studio connector needs the paid API add-on on Starter.
For HubSpot AEO, no AEO export or BI connector is documented, and a general CSV export entitlement was not verified either. HubSpot's free AI Search Sensor has an embeddable chart widget, but it reports aggregate market data and not your own brand's visibility, so it won't feed a client report.
What DeepSmith does: Any BI tool or script that can call an HTTP endpoint with a key can read the REST API. The 120 requests per minute per workspace limit leaves room for scheduled pulls into a warehouse or a spreadsheet job.
What each data route costs
HubSpot AEO has the cheaper start at $50 a month, but the API and the connector come with caveats about which plan qualifies. AthenaHQ's Starter is $295 a month, and the API add-on adds an unpublished amount on top. On those numbers, a team that wants AthenaHQ's full set of routes should plan for an Enterprise quote.
What DeepSmith does: The published plans are $99, $199 and $399 a month, or $80, $160 and $299 billed annually. Reads over the API spend no credits, so heavy reporting doesn't use up the allowance you pay for.
Which should you choose
Choosing AthenaHQ or HubSpot AEO for API and MCP access comes down to the budget and the stack you already run.
- DeepSmith fits teams that want visibility data, AI answers, topics and finished articles in their own tools or assistants, from one key, on a published price.
- AthenaHQ fits teams that need documented API, MCP and BI routes and have the budget for the add-on or an Enterprise plan.
- HubSpot AEO fits teams already in HubSpot who mostly want to query results from Claude or ChatGPT and can wait for the read API to leave beta.
For the full pair comparison, see AthenaHQ vs HubSpot AEO: Pricing Review for Teams Outside Marketing Hub.
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