AI TOOL PROFILE
Peec AI: AI Search Analytics for Marketing Teams
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website, though a free trial and 'Talk to Sales' options are mentioned.
At a glance
- Best for
- Marketing agencies, Mid-market companies, Enterprise marketing teams, SEO specialists
- Key use cases
- Monitoring Brand Share in AI Conversations, Identifying Citation Opportunities, Analyzing AI Sentiment, Segmenting Performance by Region
- Integrations
- Looker Studio, CSV export, API
- Official website
- Visit Peec AI official website
How AI is used
Peec AI is an analytics platform designed to track brand performance within AI search engines and LLMs. Rather than traditional keyword rankings, it monitors how brands appear when users ask conversational questions to AI models.
The tool is built for marketing teams and agencies to monitor visibility share, typical ranking position, and the sentiment of AI descriptions. It uses UI scraping to simulate real user experiences across models including ChatGPT, Gemini, Perplexity, and Grok.
Users can identify which sources influence AI responses and receive suggestions to help improve their presence. This includes identifying content gaps where AI uses a brand's content as a source but does not explicitly name the brand.
Buyers should confirm specific API access requirements, as this feature is limited to enterprise plans.
Key Features
Visibility, Position, and Sentiment Tracking
Measures how often a brand is mentioned, its ranking in the response, and whether the AI describes the brand positively, neutrally, or negatively.
Prompt Tracking
Supports the creation and organization of conversational prompts that mirror real customer questions to monitor specific industry queries.
Citation Analysis
Identifies the specific websites, articles, and sources that AI models reference when generating answers about a brand or category.
Competitor Benchmarking
Supports adding multiple brands to compare visibility and rankings against others in the market.
Daily Data Refresh
Executes prompts across selected AI models every 24 hours to provide trend data.
Strategy Recommendations
Provides suggestions on which publications to target or content gaps to fill based on observed citation patterns.
Use Cases
Monitoring Brand Share in AI Conversations
Tracking how often a brand is mentioned compared to competitors when users ask for product recommendations.
Identifying Citation Opportunities
Discovering which trusted sources AI models reference to help inform digital PR and content strategies.
Analyzing AI Sentiment
Monitoring how AI models describe a brand's value proposition.
Segmenting Performance by Region
Filtering AI search results by country to compare brand visibility across different geographic markets.
Integrations
- Looker Studio
- CSV export
- API
FAQ
How does Peec AI collect its data?
- Peec AI uses browser automation and UI scraping to interact with AI models through their web interfaces, simulating the experience of a real user.
What is the difference between brand visibility and source visibility?
- Brand visibility tracks when an AI directly names a brand, while source visibility tracks when content is used to generate an answer, even if the brand name is not mentioned.
How often is the AI search data updated?
- Prompts are executed once every 24 hours across the selected AI models to provide daily trend data.
Can Peec AI data be exported for reporting?
- Yes, the platform supports CSV exports and provides a Google Looker Studio connector for building custom dashboards.
Source category: Marketing
Source subcategory: AI Search
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