DeepSmith

Oct 26 · Tools & Comparisons

13 min read

Peec AI vs HubSpot AEO: Can You Query AI Visibility Data From Your Assistant?

Avinash Saurabh
Avinash Saurabh · CO-Founder & CEO
Two chart dashboards connected by thin lines to a chat window, under the cover line API and MCP Access Compared, in white on charcoal.

For getting AI visibility data into your own tools, Peec AI is the more complete choice. It has an MCP server on every brand plan, a Data Studio connector and a beta API, while HubSpot AEO offers a connector for Claude and ChatGPT and a beta read API whose standalone eligibility is unclear. HubSpot AEO costs less to start, at $50 a month. DeepSmith gives you a read-only API with an OpenAPI spec and an MCP server that works with twelve assistants, and it writes and publishes the articles that close the gaps.

Peec AI vs HubSpot AEO for API and MCP access comes down to how far you can take your AI visibility data once it has been collected. Both track prompts across AI engines, but they differ on whether you can pull that data into a dashboard, a script or an assistant like Claude. Peec AI documents several ways to get data out, and HubSpot AEO mostly keeps it inside HubSpot and one assistant connector. DeepSmith sits next to both, with open access to its own data and a writing side that turns that data into published articles.

Peec AI vs HubSpot AEO: the short answer

  • Choose DeepSmith if you want to ask Claude, Microsoft Copilot, Cursor or another assistant about your AI visibility, read the same data through an API with an OpenAPI spec, and have one platform write and publish the articles that close the gaps, with plans from $99 a month.
  • Choose Peec AI if you want the widest set of ways to get data out (an MCP server, CSV exports, a Data Studio connector and a beta API), with plans from $95 a month.
  • Choose HubSpot AEO if you want to ask Claude or ChatGPT about your AEO data at the lowest entry price, $50 a month, and you already work inside HubSpot.
CriterionDeepSmithPeec AIHubSpot AEO
Entry price (monthly)$99/mo$95/mo$50/mo
Free trial7 daysYes28 days
Public APIYes, read-only, OpenAPI specYes, beta, Enterprise per its docsPartial, beta read API
MCP serverYes, 23 read-only toolsYes, all brand plansPartial, Claude and ChatGPT connector
Assistants it works withClaude, Copilot, Cursor, Perplexity and 8 moreClaude, ChatGPT, Cursor, VS Code, Windsurf, n8n, MakeClaude, ChatGPT
BI connectors-Yes, Data Studio from AdvancedNot listed
Content generationYes, publish-readyNoPartial, Marketing Hub only
CMS publishingYes, five CMSs and webhooksNot listedPartial, HubSpot blog only
G2 rating4.8/54.8/54.4/5

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

Peec AI

The Peec AI homepage leads with AI search analytics for marketing teams, above a dashboard tracking visibility, position and sentiment against named competitors. Peec AI is an AI search analytics tool from Berlin-based Peec AI GmbH. It runs your tracked prompts daily and reports visibility, position, sentiment, share of voice and the sources each answer cites. It's aimed at SEO, content and marketing teams, and at agencies, that want prompt-level tracking at a published price. On data access it's the stronger of the two. Peec's pricing grid lists the MCP server on every brand plan, and the plans start at $95 a month for 50 prompts and three active models. It also lists CSV exports, a Data Studio connector and a customer API.

The limits sit in the plan gating. The Data Studio connector starts on Advanced at $495 a month. The API is documented as beta, and its docs say access is limited to Enterprise customers, even though the pricing grid lists it from Pro. On G2 Peec holds 4.8/5 from 20 reviews as of September 2026, and one reviewer singles out the MCP integration for praise. G2's summary also shows reviewers asking for more integrations.

HubSpot AEO

The HubSpot AEO homepage, labelled beta, offers answer engine optimization software to track AI visibility and get recommendations, above a dashboard of brand metrics across ChatGPT, Perplexity and Gemini. HubSpot AEO is HubSpot's answer engine optimization tool, and it's still labelled beta. It runs 25 prompts daily on ChatGPT, Gemini and Perplexity and reports visibility, sentiment, share of voice and citations, then turns the results into recommendations. It's sold on its own for $50 a month ($45 billed annually), and it's also included in Marketing Hub Professional and Enterprise.

On data access, most of it stays close to HubSpot. HubSpot says you can ask Claude or ChatGPT about AEO performance through the HubSpot connector, manage tracked prompts and review recommendations, although a Super Admin has to approve the setup. Its developer docs describe a beta read API for prompts, historical runs, answer text, citations and recommendations. The docs name Marketing Hub products, so it's not clear whether a standalone plan qualifies, and no export or BI connector is documented. On G2 the product shows 4.4/5 from 145 reviews, with praise for easy setup and requests for broader engine coverage.

DeepSmith: the alternative that opens its data and writes the fix

The DeepSmith homepage presents one platform for AI search analytics and content production, above an analytics dashboard with mention rate, citation rate, share of voice and a competitor leaderboard. The gap for this reader is where the data can go and what happens next. Peec AI has the most ways out but gates some of them by plan. HubSpot AEO's assistant connector is useful, but its API and exports are harder to pin down for a standalone buyer. Peec leaves the content to you, and HubSpot AEO drafts blog posts only in Marketing Hub Professional or Enterprise.

DeepSmith tracks and produces in one platform, and the data is open. The MCP server has 23 read-only tools and connects 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. You can ask an assistant about visibility, competitors, the Content Map and the content library in plain conversation, and because it only reads, it never changes the workspace. The REST API is read-only as well, with scoped keys, 120 requests per minute per workspace, no credits spent on reads and a published OpenAPI spec. It returns mention rate, citation rate, share of voice, prompts and the AI answers themselves, along with the content library, article bodies included. Signed webhooks tell your own systems when content status changes or an Opportunity Agent runs.

DeepSmith AI Visibility shows a tracked prompt with the full ChatGPT answer beside its mention rate, citation rate and position, the kind of data the API and MCP server expose, all of it demo data.

The production side runs on that same data. Opportunity Agents turn visibility gaps into ideas that each carry the data point behind them. The Writer produces publish-ready articles grounded in Deep IQ, and Produced Content publishes to WordPress, Webflow, Strapi, Sanity or Contentful. Plans are Pro at $99 a month, Grow at $199 and Scale at $399, with a 7-day free trial and annual billing from $80 a month.

DeepSmith Produced Content lists finished articles and opens one with its cover image, word count, section and link counts and a Publish button, shown with demo data.

API access

Peec AI has the better documented API, but which plan includes it is unsettled. Peec describes a JSON customer API over reports, projects, products, actions, brand perception, agent analytics and company data, and it labels the API beta. The pricing grid lists it on Pro, Advanced and Enterprise, and not on Starter. The Enterprise card and the API docs say Enterprise only. If you need an API on a small plan, ask Peec in writing before you buy.

HubSpot's developer docs describe a read API in a 2026-09-beta version. It retrieves prompts, individual historical runs, answer text, citations and recommendations with a read permission, and no write API has been verified. The docs identify Marketing Hub products as supported, so a standalone AEO account may or may not qualify. Both tools are in beta here, and neither gives a buyer a clean self-serve answer.

What DeepSmith does: The API is read-only, scoped with keys such as visibility:read and content:read, and capped at 120 requests per minute per workspace. Reads spend no credits, and the published OpenAPI spec lets a developer generate a client instead of writing one by hand.

MCP and assistant access

Peec AI wins on reach, and HubSpot AEO's connector is close for the two assistants most teams use. Peec says its MCP server lives at api.peec.ai/mcp, and its pricing grid checks it on all four brand plans. It lists Claude, ChatGPT, Cursor, VS Code, Windsurf, n8n and Make as clients, and it describes assistants querying visibility, sources, competitors, brand perception and shopping data in natural language. Peec also describes Slack summaries built from a scheduled MCP workflow, which is a useful pattern if you report to a team every week.

HubSpot's connector is documented for Claude and ChatGPT only, and the page doesn't name the protocol, so we count it as partial on MCP. It does let you manage tracked prompts and review recommendations from the assistant, and it's listed on all AEO plans, including the $50 standalone plan. The cost is some setup, since a Super Admin has to enable the AI settings first.

What DeepSmith does: The MCP server gives an assistant 23 read-only tools across visibility, competitors, the Content Map and the content library. It works with twelve named assistants, including Microsoft Copilot, Cursor and Gemini CLI, so the team can use whichever one it already has.

BI connectors and exports

Peec AI wins this one clearly. It lists CSV exports of chats, sources, shopping tables and charts on every brand plan, and a Data Studio (Looker Studio) community connector that uses a project-scoped API key. The connector starts on Advanced and Enterprise. Peec's integrations list also names BigQuery, Tableau and Power BI, reached through CSV exports and the API. One open question is whether Data Studio users below Enterprise get the API key the connector needs, since the API docs restrict access to Enterprise. A Google Analytics integration is listed too, but its depth hasn't been verified, so I wouldn't treat it as a full analytics connector.

For HubSpot AEO, no export or BI connector is documented, so the table says Not listed. Other HubSpot reporting tools exist, but they aren't AEO exports.

What DeepSmith does: Dashboards and warehouse jobs read the same visibility data through the API, and signed webhooks can kick off your own downstream workflows when content or agent runs change.

From insight to action

On this axis HubSpot AEO comes closer than Peec AI, but only if you pay for Marketing Hub. Peec's Actions feature groups cited sources and gives prioritized on-page and off-page actions, and its FAQ says you still create the content yourself. Briefs or page rewrites appear only through an outside assistant over the MCP. HubSpot AEO's recommendations carry a priority and a projected citation lift. Its Generate blog post action drafts a full post for review and opens it in the HubSpot blog editor, but it uses 1,000 HubSpot Credits and needs Marketing Hub Professional or Enterprise. Professional is $890 a month, or $800 billed annually, with a required $3,000 one-time onboarding. Whether you need those plans for the content features is the subject of our full Peec AI vs HubSpot AEO comparison.

What DeepSmith does: The data you pull out of DeepSmith is the same data that drives production. Opportunity Agents return ideas with the evidence attached, the Writer turns a planned idea into a researched, linked article with a cover image and metadata, and Autowrite can run that on a schedule with no one in the app. You pay for one platform on one self-serve plan instead of a tracker plus a separate content tool.

Which should you choose

  • DeepSmith fits a team that wants its AI visibility data available in an assistant and an API, and wants the same platform to write and publish what the data calls for. Plans run $99, $199 and $399 a month, and the 7-day free trial shows you real data before you pay.
  • Peec AI fits a team choosing between these two that needs the most export routes, including MCP on every brand plan, CSV and a Data Studio dashboard, and will do the content work itself.
  • HubSpot AEO fits a team choosing between these two that already lives in HubSpot, wants to ask Claude or ChatGPT about three engines of data, and wants the lowest entry price.

Start a free trial and connect your first assistant: try DeepSmith free for 7 days.

Frequently asked questions

Does HubSpot AEO have an API?

HubSpot's developer docs describe a read API in a 2026-09-beta version that covers prompts, historical runs, answer text, citations and recommendations. The docs name Marketing Hub products, so whether a standalone $50 plan includes it isn't clear. Check with HubSpot before you plan around it.

Does Peec AI's MCP server work with Claude?

Yes. Peec lists Claude among its supported MCP clients, along with ChatGPT, Cursor, VS Code, Windsurf, n8n and Make, and its pricing grid includes the server on every brand plan. One G2 reviewer specifically praises the MCP integration.

Is there an alternative to Peec AI and HubSpot AEO that also gives API and MCP access?

DeepSmith does. It has a read-only REST API with an OpenAPI spec and an MCP server with 23 tools that works with Claude, Microsoft Copilot, Cursor and other assistants. It also writes and publishes the articles that close the gaps the data shows.

Which is cheaper, Peec AI or HubSpot AEO for API and MCP access, if I only want data in an assistant?

HubSpot AEO starts at $50 a month and Peec AI at $95 a month, and both connect to Claude. Peec's MCP server comes with every brand plan, and HubSpot's connector comes with every AEO plan, so the price gap is mostly what you get around the connection, such as 50 prompts at Peec against 25 at HubSpot.