In short

Peec AI is a Berlin-based tool that queries AI platforms daily with fixed prompts and analyses visibility, position, sentiment and sources. It hosts mainly in Frankfurt, publishes its DPA including sub-processors and holds a SOC 2 Type II report. It loses points for three active models per plan and country limits. Editorial score: 8.1 out of 10.

8.1/10

Verdict

Peec AI is the first choice in TechTafel’s comparison for European companies that must document data protection. Hosting in Frankfurt, a public DPA and clear metrics are convincing. If you want to monitor many platforms or countries at once, additional models and larger plans raise the cost noticeably.

Pros

  • hosting mainly in Frankfurt (Google Cloud)
  • public DPA listing all sub-processors
  • SOC 2 Type II report available
  • metrics for visibility, position, sentiment and sources
  • API, MCP, Looker Studio connector and exports

Cons

  • only three active models per plan, more at extra cost
  • smallest plan limited to one country
  • Microsoft Copilot not documented
  • Claude only on the enterprise plan

What is Peec AI?

Peec AI is an AI visibility tool from Peec AI GmbH in Berlin. It queries AI platforms daily with defined prompts and measures how often, in which position and in what tone a brand appears. The vendor positions itself as an analytics platform for marketing teams and agencies.

The assessment relies on the vendor’s public pricing page, data processing agreement, imprint and documentation, retrieved on 13 November 2026. TechTafel did not collect its own measurement series with the tool. The sub-scores assess the documented feature set.

Which features does Peec AI offer?

Peec AI measures three core metrics: visibility (share of answers that mention the brand), position (where the brand appears in the answer) and sentiment (tone). These features complement them:

  • Sources: which websites the AI cites and which shape visibility,

  • Prompt management: custom prompts, tags and AI-suggested prompts with search volumes,

  • Brand perception: how AI systems talk about a brand,

  • Shopping: product visibility in AI answers,

  • Agent analytics: how AI agents crawl your own website,

  • Actions: guidance on what to improve.

According to its pricing page, the standard plans offer ChatGPT, Perplexity, Google AI Overviews, Google AI Mode, Gemini, Bing AI Mode, Naver AI Briefing and ERNIE. Three models are active per plan, and more cost extra. The enterprise plan allows up to 26 models, including several Claude variants.

Data is available through exports, a Looker Studio connector and an API. An MCP server connects AI assistants to the Peec data (handy for analysis via chat).

What about privacy and data location?

According to its [data processing agreement](https://peec.ai/legal/data-processing-agreement/v2026-10-19), Peec AI hosts mainly on Google Cloud in Frankfurt. Further databases run in Belgium and the Netherlands. The DPA is public and lists every sub-processor with location and legal basis.

Area

Location per DPA

Legal basis

Hosting and databases

EU (Frankfurt, Belgium, Netherlands)

no transfer

Sign-in (Firebase Authentication)

US

EU-US Data Privacy Framework, Standard Contractual Clauses

AI providers such as OpenAI, Anthropic, xAI, Perplexity

US

Standard Contractual Clauses or Data Privacy Framework

Product analytics (PostHog)

US

EU-US Data Privacy Framework

The US services of the AI providers are not a special case. No tool of this kind works without querying the AI platforms. The DPA explicitly marks one provider with an operator in China (Alibaba Cloud) as restricted.

Peec AI provides a SOC 2 Type II report to customers on the custom plan on request. The company is based in Berlin and registered at the Charlottenburg local court.

How does the pricing model work?

The price depends on the number of prompts and models. The number of AI answers per month equals prompts times models times tracking frequency. On the smallest plan that is 50 prompts, three models and daily tracking, or 4,500 answers per month.

Infographic on the Peec AI pricing logic: 50 prompts times 3 models times 30 days equals 4,500 AI answers per month
Peec AI pricing logic according to its pricing page, as of November 2026.

The plans differ mainly in prompts, countries and projects. Starter includes 50 prompts, one country and one project. Pro offers 150 prompts, three countries and two projects, or 13,500 answers per month. Advanced reaches 350 prompts, three countries and five projects, or 31,500 answers. Enterprise lifts the limits and also allows weekly tracking. A brand focused on a single market often needs just one country, while for agencies with several clients the projects matter.

The plans are Starter, Pro, Advanced and Enterprise. Entry is in the low three-digit dollar range per month. Additional models cost a fixed monthly amount depending on the plan. Countries are limited to one (Starter) or three (Pro, Advanced), while languages and team members are unlimited. Annual plans are 15 percent cheaper, and a trial is available.

Who is Peec AI for?

Peec AI suits brands and agencies that need GDPR documentation and clear metrics. The combination of EU hosting, a public DPA and exports fits teams that report AI visibility regularly to management or clients.

Peec AI offers separate pricing for agencies, and its pricing pages distinguish between offers for brands and for agencies. Unlimited team members on all plans make collaboration with clients easier.

Peec AI is less suitable for very small budgets that must cover many countries at once. If you want to monitor Microsoft Copilot, you will not find it in the public documentation.

What are the alternatives?

For large enterprises with enterprise requirements, Profound is an option. Its feature set is broad, but the vendor publishes neither prices nor its hosting location. Teams already working with Semrush get prompt tracking for ChatGPT, Google AI Mode and Gemini in the Semrush AI Visibility Toolkit, though for desktop only. Our comparison of AI visibility tools covers both. What measurement needs to deliver beyond Google’s own reports is explained in our article on AI Overviews and AI Mode.

How the score is calculated

The overall score is the weighted average of five sub-scores, rounded to one decimal place. Criteria and weights apply to all tools in this category and are described in our methodology.

Criterion

Weight

Sub-score

Platform coverage

25 %

8.0

Prompt tracking & analysis

25 %

8.5

Privacy & data location

20 %

8.5

Pricing model & transparency

15 %

7.0

Integrations & export

15 %

8.0

Bar chart of the five sub-scores for Peec AI: platform coverage 8.0, prompt tracking 8.5, privacy 8.5, pricing 7.0, integrations 8.0, overall 8.1
Editorial sub-scores for Peec AI, overall score 8.1 out of 10.

The deduction for pricing reflects the three active models per plan and the country limits. Start the trial with the three platforms your audience uses most and expand only afterwards.

Frequently asked questions

Where does Peec AI host data?

According to its data processing agreement, mainly on Google Cloud in Frankfurt, with further databases in Belgium and the Netherlands. Some services, such as sign-in and the AI providers, process data in the US.

How many AI platforms can I monitor with Peec AI?

Three models are active on the Starter, Pro and Advanced plans. More models can be added at extra cost. The enterprise plan allows up to 26 models.

Does Peec AI offer a trial?

Yes. The pricing page offers a free trial but does not state its length.

Sources

  1. Peec AI Pricing , Peec AI GmbH , 2026-11
  2. Data Processing Agreement v2026-10-19 , Peec AI GmbH , 2026-10-19
  3. Peec AI Imprint , Peec AI GmbH , 2026
  4. Peec AI Documentation , Peec AI GmbH , 2026
  5. Official information about Profound , Profound , 2026
  6. AI Visibility Toolkit , Semrush Knowledge Base , 2026
By

George Moreno

Author

George Moreno writes for TechTafel about generative engine optimization (GEO), technical SEO, structured data and marketing technology, as well as ERP, CMS and CRM systems. His articles explain how digital platforms work, how AI search systems select their sources and what businesses should consider when choosing and implementing software.

He draws on primary sources, including official documentation, original studies and vendor specifications. His comparisons and reviews follow TechTafel’s published methodology, with clearly defined evaluation criteria, cited sources and information dates. Substantive updates and corrections are documented in each article’s changelog.