Head to head
OtterlyAI vs Peec AI
Entry-level self-serve simplicity versus mid-market analytical depth, the AI-visibility baseline choice. Concretely: $29/month for four engines watched out of the box, against a €85 (about $95)–€425 (about $476) ladder that asks a higher floor and returns per-engine strategy, source-level targeting and multi-brand workspaces for it.
On this page
Otterly AI and Peec AI both measure how AI answer engines mention your brand, but they serve different phases of a team's AI-visibility journey.
Otterly is the accessible entry point: self-serve plans starting at $29/month (Lite, 15 prompts), $189 (Standard, 100 prompts), $489 (Premium, 400 prompts) plus a custom Enterprise plan, with annual discounts. It tracks ChatGPT, Perplexity, Google AI Overviews and Microsoft Copilot by default; Google AI Mode, Gemini and Claude cost extra as add-ons. Monitoring volume (how many prompts, how often) is the main pricing lever between tiers; API and MCP access are included from Standard upward, but not on Lite.
Peec is positioned for mid-market teams and agencies, with published tiers from €85/month (about $95) (Starter, 50 prompts) to €425/month (about $476) (Advanced, 350 prompts) plus a custom Enterprise plan. In exchange for the higher price, you get a wider 6-engine pool to pick 3 from per project, per-engine breakdowns that go deeper, a citation-source view that directly informs GEO strategy (the sources already cited are where to earn mentions), and multi-brand workspaces built for running several clients side by side, a feature Otterly does not emphasize. Peec's own API access is reserved for its custom Enterprise plan, same as Otterly gates API/MCP behind Standard and up.
The honest trade-off: Otterly is perfect for a team just getting started with AI visibility and trying to justify the spend. Peec is what you move to when you are ready to do the research deeper: per-engine strategy, source-level targeting, and managing multiple brands at once.
How OtterlyAI and Peec AI compare
| Feature | OtterlyAIVisit OtterlyAI ↗ | Peec AIVisit Peec AI ↗ |
|---|---|---|
| Description | AI search visibility monitoring across seven engines, with citation tracking and GEO content audits. | Tracks brand visibility, position and sentiment in AI answers, with source, competitor and crawler reporting. |
| Pricing | from $29/month | from €85/month (about $95) |
| Tags | ||
| Pricing model | subscription | subscription |
| Free tier | No | No |
| Optimises your content | Yes | Partly |
| Generates content | Partly (currently limited) | No |
| Technical AEO | Partly (currently limited) | Partly |
| Done-for-you service | Partly (Enterprise plan and up) | No |
| Gemini | Partly (Gemini add-on add-on) | Yes |
| Google AI Mode | Partly (Google AI Mode add-on add-on) | Yes |
| Claude | Partly (Claude add-on add-on) | Partly (Enterprise (brand plans); Scale (agency plans)) |
| Grok | No | Partly (Enterprise plan and up) |
| DeepSeek | No | Partly (Enterprise (brand plans); Scale (agency plans)) |
| AI crawler analytics | Partly (Standard plan and up) | Yes |
| Wrong answers about you | - | Yes |
| Projects or brands | Partly (Lite plan and up) | Yes |
| Countries | Yes | Partly |
| API | Partly (Standard plan and up) | Partly (Enterprise plan and up) |
| MCP server | Partly (Standard plan and up) | Yes |
| BI export | Partly (Standard plan and up) | Partly (Advanced plan and up) |
| Limitations |
|
|
Who each one is for
OtterlyAI
Marketing, SEO and content teams taking their first serious measurement of AI-search visibility, who want a self-serve start rather than a sales call.
From $29/month
Watch for: Prompt-sampling based. Engines answer differently per user and session, so treat trends, not single runs, as the signal.
Peec AI
mid-market marketing teams and agencies running AI-visibility programs
From €85/month (about $95)
Watch for: Free trial length is not published on the pricing page (the existing record assumed seven days; verify before citing a specific number).
Verdict: OtterlyAI or Peec AI?
Solo founders or startups watching only ChatGPT/Perplexity/AI Overviews → Otterly. Mid-market teams or agencies needing deeper analytics and multi-client workspaces → Peec. The threshold is usually not budget but whether anyone owns the output: Otterly answers whether you are mentioned, Peec answers what to do about it, and the second is only worth paying for when someone has time to act on it.
The digest
Who's winning AI citations. New tools and articles, by email, at most once a week.
Frequently asked questions
- Which is cheapest?
- Otterly. Entry is $29/month (Lite) versus Peec's €85/month (about $95) (Starter), both with annual discounts.
- Which covers more AI engines?
- Peec has the wider pool: 6 engines (ChatGPT, Perplexity, AI Overviews, AI Mode, Copilot, Gemini), pick 3 per project. Otterly tracks 4 by default (ChatGPT, Perplexity, AI Overviews, Copilot); AI Mode, Gemini and Claude cost extra as add-ons.
- Does either have an API?
- Otterly includes API/MCP access from its Standard tier ($189/mo) up, but not on Lite. Peec reserves API access for its custom Enterprise plan; none of its self-serve tiers (Starter/Pro/Advanced) include it.
- Which shows which sources engines cite?
- Peec emphasizes this as a core feature (the citation-source view becomes a GEO target list). Otterly focuses on brand mentions and share-of-voice.
- Which is better for agencies?
- Peec has multi-brand workspaces purpose-built for agencies; Otterly is built more for in-house teams.
- When would a team move from Otterly to Peec?
- Once monitoring across Otterly's 4 default engines (or its paid add-ons) is not enough, or when source-level analysis and multi-brand management become needed, typically as AI visibility becomes a real business lever.
Related comparisons and alternatives
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Who's winning AI citations.
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At a glance
Entry-level self-serve simplicity versus mid-market analytical depth, the AI-visibility baseline choice. Concretely: $29/month for four engines watched out of the box, against a €85 (about $95)–€425 (about $476) ladder that asks a higher floor and returns per-engine strategy, source-level targeting and multi-brand workspaces for it.