What is Peec AI?
Peec AI is an AI SEO built for brands serious about AI visibility. It tracks performance across AI-powered search engines like ChatGPT, Perplexity, and Gemini, which have fundamentally changed how customers discover products and services. A brand invisible in AI-generated answers is losing ground, regardless of how well it ranks on Google.
It runs tracked prompts daily across every selected AI model and converts responses into visibility scores, position rankings, and sentiment readings. Those numbers expose which prompts drive brand recommendations, how competitors perform on the same queries, and which sources AI search engines trust enough to cite.
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Features & Benefits
- Visibility Tracking: measure the share of AI conversations where your brand gets mentioned across ChatGPT, Perplexity, Gemini, and other models, giving you a clear read on your AI visibility baseline.
- Position Tracking: see where your brand ranks within AI responses and identify which prompt topics offer the best chance to move up.
- Sentiment Tracking: find out how AI models describe your brand, what they say positively, and where perception needs work.
- Prompt Setup and Management: add your own prompts, organize them with tags by persona or funnel stage, and use AI-suggested prompts with search volume data to focus on the highest-opportunity queries.
- Competitor Benchmarking: add rival brands to your workspace and compare visibility, position, and sentiment scores side-by-side against your own.
- Source and Citation Tracking: distinguish between content that informed an AI answer and content that was explicitly cited by URL, viewable at both domain and individual URL level with citation frequency data.
- Multi-Model Filtering: filter all AI SEO data by specific AI model so you can compare how ChatGPT vs. Gemini treats your brand.
- Multi-Country Filtering: segment performance data by country to understand regional differences in how AI surfaces your brand.
- Actionable Recommendations: receive prioritized strategy suggestions tied to the sources AI most frequently cites, such as getting listed on review sites or joining relevant online communities.
- CSV Export: export clean data files to build reports in any tool you already use.
- Looker Studio Connector: pull data from all your projects into client-ready dashboards using the Peec AI community connector.
- API and MCP Access: connect through REST API or Model Context Protocol to pipe live visibility data into your own workflows and AI agents.
What can Peec AI do?
- Track brand mentions across AI search engines
- Measure brand position in ChatGPT and Perplexity results
- Monitor AI sentiment toward a brand
- Benchmark brand visibility against competitors
- Identify which prompts trigger brand recommendations
- Find which sources AI cites when answering industry questions
- Filter AI visibility data by country and model
- Generate strategy recommendations based on citation data
- Build client-ready AI SEO dashboards
- Export brand performance data for BI reporting
Real-World Applications
Marketing teams at SaaS companies may use Peec AI to find out whether ChatGPT recommends them when someone asks “what’s the best CRM for startups.” They can track that specific prompt daily on multiple AI search engines or see their position relative to competitors. and use the citation data to figure out which content or third-party sources are driving those AI mentions.
SEO strategists and digital PR teams can use the source tracking feature to spot which domains AI engines pull from most often in their category. If editorial sites or review platforms keep showing up as citations, that signals where to focus outreach and content placement to lift AI visibility scores over time.
Agencies managing multiple brand clients might use Peec AI’s multi-project setup to run visibility reporting across their entire book of business. The Looker Studio connector and CSV export options let them build client-facing dashboards without manual data pulling each week.
B2B brands with audiences in multiple countries may use the country and AI model filtering to separate how Gemini describes them in the US versus how Perplexity describes them in the UK. That kind of segment-level AI search analytics can reveal gaps in regional content strategy that aggregate numbers would otherwise hide.
