What Peec AI is
Peec AI describes itself as “AI search analytics for marketing teams.” The product is a workspace: you add prompts, pick models, and track visibility, position, and sentiment daily against competitors. Every brand plan includes unlimited users. The marketing site also covers brand perception, AI shopping, agent analytics (how AI bots crawl your site), and an Actions layer of recommended next steps.
Published brand plans on peec.ai/pricing start at $95/mo (Starter: 50 prompts, 3 models, 1 project, daily tracking), then $245/mo (Pro: 150 prompts, 2 projects) and $495/mo (Advanced: 350 prompts, 5 projects, multi-country, Looker Studio). Enterprise is custom, billed annually on the pricing page. Annual billing is advertised as 15% off. The pricing page CTA includes a free trial; the trial length is not stated on that page.
That shape is a feature. If the deliverable is a report for a marketing lead, if several people on the team need seats, and if you want prompts tracked on a schedule inside a vendor UI, a dashboard is the right purchase. Plenty of teams should buy Peec and never call an HTTP API.
What MentionsAPI is
MentionsAPI is a developer API. You send one HTTP request with a query and a brand, and you get structured JSON back: whether the brand was mentioned, where it ranked in the answer, surrounding context, and which URLs were cited, per AI surface. There is a REST API and a remote MCP server at api.mentionsapi.com/mcp, so both your code and your agents can call it.
We do not ship a monitoring dashboard for marketing teams. The product is the data layer: you decide what the UI looks like, where the data lands, and what score your customers see. If you are building a GEO tool, an agency reporting pipeline, or an internal alert bot, that is the shape you want.
Signup is 300 free credits, no card. Then $5/mo for 1,000 credits or $54/yr for 12,000.
Surface coverage compared
MentionsAPI covers two kinds of surfaces. API modes query ChatGPT, Claude, Gemini, and Perplexity through their model APIs (mode:quick is 150 credits fresh, 5 on a cache hit). Live modes check what the UIs actually render: Google AI Overviews (15 credits), Google AI Mode (35), Bing Copilot (15), plus the live ChatGPT, Gemini, and Perplexity UIs (35, 35, and 85 credits). mode:all_live runs every live surface in one call for 165 credits.
On Peec’s brand pricing table, Starter, Pro, and Advanced plans “choose 3 models” from this published list: ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Gemini, and Naver AI. Additional models are sold as add-ons ($30 / $70 / $140 per month on Starter / Pro / Advanced). The add-on list on that page includes ChatGPT, AI Mode, AI Overviews, Microsoft Copilot, Perplexity, and Gemini. Enterprise is described as choosing from all models, “up to 13 LLM models tracked,” and the comparison table lists extra Enterprise models including Claude Sonnet 4 (API), GPT 5 Search (API), Grok, DeepSeek, Qwen, Mistral, Muse Spark, and Perplexity.
The structural difference is not a scoreboard of who lists more logos. It is what you receive, and when. Peec tracks a saved prompt set on a schedule and shows the results in its workspace. MentionsAPI runs a check when you call it, including for a prompt that does not already live in a project, and returns JSON for you to store and render.
API and MCP compared
Both products have an API and an MCP server. They do different jobs.
Peec’s Customer API (https://api.peec.ai/customer/v1, X-API-Key header) is, in Peec’s words, a way “to programmatically work with the same data available in our platform.” Official docs and the help center say API access is on Pro, Advanced, Enterprise, and agency plans — not on Starter. That matches the pricing comparison table (API: not included on Starter; included on Pro, Advanced, and Enterprise). The help center (updated 29 October 2026) describes retrieving prompt data, source citations, visibility metrics, and sentiment for custom dashboards and reports.
Peec also has a remote MCP server at https://api.peec.ai/mcp (Streamable HTTP, OAuth 2.0 or a personal access token). The pricing table marks MCP as included on every brand plan, including Starter. Docs list 56 read tools and 50 write tools over the Peec project — visibility reports, citations, actions, shopping, agent analytics, and project setup. Most tools are read-only; write/delete tools prompt for confirmation and require organization-owner access. This is an MCP interface to your Peec workspace.
MentionsAPI’s API is a live check: POST /v1/check with mode, query, and brand. You do not need a pre-created monitoring project to run a one-off prompt. The MCP server at https://api.mentionsapi.com/mcp exposes four tools — mentions_check, mentions_watch, mentions_discover, mentions_compare — that wrap those REST endpoints. OAuth for the hosted connector, or npx @mentionsapi/mcp locally. Details: MCP server for AI brand visibility and the MCP docs.
If you want to ask an agent “how did our Peec project move this week?”, Peec’s MCP is built for that. If you want an agent to run a fresh check on a prompt you just typed, MentionsAPI’s MCP is built for that.
Pricing models compared
Peec is priced like a SaaS workspace: a monthly (or discounted annual) subscription whose unit is tracked prompts × models, with unlimited seats. Published brand prices are $95, $245, and $495 per month, then custom Enterprise. Prompt volume can be adjusted; add-on models have their own monthly prices. Agencies have a separate pricing page.
MentionsAPI is priced like a developer tool: a credit wallet. 300 free credits one-time on signup, no card. Then $5/mo for 1,000 credits or $54/yr for 12,000, granted up front. Top-up packs are $4 per 1,000 credits on monthly plans and $3 per 1,000 on annual. Every call has a posted credit cost, so you can price a product on top of this with a spreadsheet.
The dollar gap is real and not the whole story. Peec’s fee includes the workspace, scheduled tracking, seats, and (on eligible plans) the project API/MCP. MentionsAPI’s fee includes the check. You bring storage, charts, and any end-user UI.
Which should you pick
Pick Peec AI if you are a marketing or SEO team — or an agency running client workspaces — and you want a product you can log into on day one: saved prompts, daily (or weekly, on Enterprise) tracking, unlimited users, citation and action workflows, and optional reporting into Looker Studio. You should also pick Peec if the MCP or API you want is “talk to the data already in our Peec project.”
Pick MentionsAPI if you write code and want the raw signal: developers building GEO or brand-monitoring products, agencies automating reports in their own stack, and teams wiring live AI-visibility checks into agents. You get JSON in one call and compose everything above it yourself.
Some organizations can use both. Marketing keeps Peec as the company dashboard; engineering calls MentionsAPI for a product feature, an internal bot, or data that needs to land in their own warehouse. The products meet different requirements, so they can stack without being substitutes.
See also the AI visibility API, the AI brand monitoring API, the methodology, MentionsAPI vs Profound, MentionsAPI vs DataForSEO, and MentionsAPI vs OpenRouter.
When to choose Peec AI
Choose Peec, not MentionsAPI, when most of the following are true:
- The people who will use the product do not want to build a UI, a prompt store, or a scheduler.
- You need unlimited seats so brand, content, and SEO can share one workspace.
- You want daily tracking of a fixed prompt list, with visibility, position, sentiment, and share of voice already charted.
- You care about Peec-specific workflow features — Actions, brand perception, shopping, agent/crawl analytics — that are not MentionsAPI’s product.
- You want an MCP server that can read and (with confirmation) edit that workspace: add prompts, inspect citations, run Peec’s canned reports.
MentionsAPI will feel incomplete in those cases, because those features are intentionally out of scope. We are not going to bolt a marketing dashboard onto the API to win this comparison.