At a glance
- Status
- Active
- Category
- AI Visibility & Analytics
Peec AI is an AI search analytics platform built for marketing teams and SEO agencies that want to understand and improve their brand’s performance across AI search engines. The platform tracks three core metrics across ChatGPT, Perplexity, Gemini, Google AI Overviews, Microsoft Copilot, and Grok: Visibility (the share of AI conversations where your brand appears), Position (your ranking within AI responses), and Sentiment (how AI models describe your brand). It is trusted by over 2,000 marketing teams, according to the Peec AI website.
The tool sits squarely at the intersection of traditional SEO and the newer discipline of generative engine optimization (GEO). Where Google Search Console tells you which queries send organic clicks, Peec AI tells you which prompts surface your brand inside AI chatbots and which competitors are outranking you there. For brands watching a growing share of their discovery traffic shift to AI-mediated answers, that is a gap traditional analytics cannot fill.
What Peec AI does
Peec AI is a prompt-based tracking platform. You set up prompts that represent the questions your buyers actually ask AI engines, then Peec runs those prompts daily across your chosen models and records where you appear, how you rank, and what AI says about you. The dashboard surfaces trends over time so you can see whether a content update or PR effort moved the needle across ChatGPT, Perplexity, or Gemini.
Key features verified on the Peec AI site include:
- Visibility tracking across ChatGPT, AI Mode (Google), Google AI Overviews, Microsoft Copilot, Perplexity, Gemini, and Grok
- Competitor benchmarking so you can see exactly which brands occupy positions you want
- Source analysis to identify which URLs and publications are being cited when AI engines discuss your category
- Daily tracking frequency on all paid plans
- Multi-country tracking available from the Pro plan
- Looker Studio integration for deeper reporting
- Data exports in CSV format
- MCP server that connects your Peec data to Claude, Cursor, n8n, Notion, and 50+ other tools, letting you query your visibility data directly inside AI agents
The MCP integration is worth noting separately. Peec launched a Model Context Protocol server that lets you ask questions like “What are our most cited URLs across AI search engines?” directly inside Claude or Cursor, without opening the dashboard. Use cases highlighted on the Peec MCP page include weekly AI visibility briefs, white-label client reports, and identifying content that previously earned AI citations but is now losing ground.
Why AI search visibility matters alongside Google rankings
Getting cited in an AI answer and ranking on page one of Google are different outcomes driven by different signals, but they reinforce each other. AI engines like ChatGPT and Perplexity largely ground their responses in indexed web content, which means strong Google rankings improve the probability of AI citation. But the reverse is not guaranteed: a page that ranks position 3 for a keyword may never be mentioned in an AI answer for the same query if its content does not match the framing the LLM prefers.
Peec AI gives teams the data to work on both fronts simultaneously. The source analysis feature shows which publishers and URLs are cited most often for the prompts you care about, which doubles as a link-building and content placement intelligence layer. If a specific trade publication keeps appearing in ChatGPT answers about your category, that is a signal worth acting on.
As Lily Ray, VP SEO Strategy at Amsive, put it: “Metrics like brand mentions, impressions, and sentiment are hard to track - which is why Peec AI is so powerful: it shows how LLMs are framing our brand.”
Fokal takes the same dual-surface approach: tracking where your brand appears in Google and in AI answers, then helping you close the gaps. You can monitor your AI search presence and understand how AI engines choose which brands to cite to inform the content and link strategy that Peec’s data points toward.
Pricing
Peec AI uses a tiered paid model. Pricing is not publicly listed on the site, so contact Peec or use their free trial to get current figures. The plan structure (verified on the Peec AI pricing page) is:
| Plan | Prompts | Projects | Countries | Key extras |
|---|---|---|---|---|
| Starter | Available on request | 1 | 1 | 3 models, daily tracking, chat support |
| Pro | Available on request | 2 | 3 per project | 3 models, daily tracking, email + chat support |
| Advanced | Available on request | 5 | 3 per project | 3 models, daily tracking, Looker Studio integration |
| Enterprise | Custom | Unlimited | Unlimited | Custom AI models (incl. Claude Sonnet 4, GPT-5 Search), API access, dedicated support |
Peec AI has an agency partner program for teams managing multiple client brands; contact them directly for pricing.
Who it is for
Peec AI is built for in-house SEO and content teams, growth marketers, and agencies that have started losing organic visibility to AI-generated answers and need structured data to respond. The platform is trusted by over 2,000 marketing teams per the Peec AI website.
For teams building an AI SEO strategy or exploring AEO tools, Peec AI covers the measurement layer that most traditional SEO platforms still lack. Pair it with content optimized for AI citation (concise, structured, authoritative) and you have a feedback loop: publish, track, iterate.
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