Peec.ai
Peec.ai is an AI-search analytics platform that tracks where, how, and how favorably your brand appears inside conversational answer engines such as ChatGPT, Perplexity, Claude, and Gemini. That visibility data lets marketers apply the same rigor to answer-engine optimization (AEO) that they already apply to classic SEO.
Quick-fire takeaways (read this first)
- Peec.ai listens where Google’s crawlers cannot—inside AI chat windows—so you can spot opportunity gaps fast.
- The dashboard benchmarks you against named competitors, giving side-by-side share-of-voice metrics.
- Actionable hints translate insights into prompt tweaks, content refreshes, or schema fixes—no guesswork.
- Born in Berlin in 2025 and already venture-backed, the tool is sprinting forward at start-up speed.
- Marketers, comms teams, and product managers use it to protect reputation, capture traffic, and fuel content calendars.
What exactly is Peec.ai?
Peec.ai is software that monitors AI chat results the way rank-trackers watch classic search. Instead of “Position 8 for keyword X,” you see “Mentioned in ChatGPT’s top three answer snippets for query Y.” Think of it as Google Analytics for generative answers.
How does it collect those insights?
The platform submits controlled prompts to major large-language-model (LLM) interfaces, captures the verbatim text, flags every brand mention, and logs sentiment. Results stream into a single dashboard so you can slice by question, model, date, or geography.
Who benefits most?
- In-house SEO teams future-proofing beyond the ten blue links.
- PR and brand-protection squads that need early-warning alerts.
- Agencies such as the Team4 Agency that package AEO audits for clients.
How is it different from a classic SEO suite?
Traditional rank-trackers watch visible webpages. AI answer engines remix countless sources, sometimes without a visible link. Peec.ai surfaces mentions you’d never see in a SERP report.
What does it cost?
Pricing is tiered by the number of tracked brands, queries, and LLMs. A free starter plan watches one brand across a modest query set. Paid tiers unlock competitor benchmarking, API export, and alerting.
Is implementation difficult?
No. You paste a seed list of branded and generic queries, choose competitor domains, pick regions, and hit Track. Within minutes the first wave of answers lands in your dashboard.
Any real-world proof?
Five months post-launch Peec.ai closed a multi-million-euro seed round and signed logos in travel, finance, and e-commerce.
Glossary of Peec.ai terms (A–Z)
A – AI Answer Visibility
Percentage of prompts where your brand is named in an LLM answer.
B – Benchmarking Panel
A side-by-side chart comparing your visibility score against competitor domains.
C – ChatGPT Mention Delta
Week-over-week change in brand mentions inside ChatGPT.
D – Dashboard Lens
A pre-set filter bundle—e.g., “perception,” “product questions,” or “pricing queries.”
E – Engagement Spike
A sudden jump in user clicks on links surfaced by LLM answers (tracked via UTM).
F – Funding Milestone
A reference point marking Peec.ai’s seed round—useful for vendor-risk checks.
G – Generative Engine Optimization (GEO)
Tactics aimed at improving visibility inside LLM answers—Peec.ai’s core use case.
H – Heat-map View
A color chart showing which questions generate positive, neutral, or negative sentiment.
I – Insight Card
An AI-generated recommendation tile—e.g., “Expand FAQ schema for Query Cluster X.”
J – Journey Tracking
Mapping of a visitor’s path from AI answer → click-through → on-site goal.
K – Keyword Proxy
A non-brand query used to infer topical authority for AEO (e.g., “best running shoes”).
L – LLM Panel
The set of models Peec.ai polls: ChatGPT, Perplexity, Claude, and Gemini.
M – Mention Share
Your portion of total brand mentions versus the entire competitive set.
N – Notification Rule
A user-defined alert that pings Slack or email when sentiment crosses a threshold.
O – Opportunity Score
A weighted blend of visibility, sentiment, and search volume estimating upside.
P – Prompt Library
A repository of tested questions Peec.ai fires at models to gauge brand coverage.
Q – Query Cluster
A thematically grouped set of prompts (e.g., “pricing,” “comparison,” “troubleshooting”).
R – Response Snippet
Raw text returned by an LLM before cleaning or sentiment tagging.
S – Sentiment Gauge
A scale from –100 (very negative) to +100 (very positive) for each mention.
T – Topic Authority Index
A composite metric scoring perceived expertise on a topic.
U – URL Resolver
A tool that maps an LLM’s internal citation back to the live webpage.
V – Visibility Trendline
A sparkline showing day-by-day visibility percentage.
W – Weighted Share-of-Voice
Visibility adjusted for query volume and commercial intent.
X – eXport API
A REST endpoint for piping Peec.ai data into business-intelligence tools.
Y – Year-on-Year Delta
The same-question comparison across 12-month windows.
Z – Zero-Mention Alert
A trigger sent when a mission-critical query returns no brand mention at all.
(Bookmark this list—it will expand as Peec.ai ships new features.)
Why Peec.ai matters right now
- AI answer engines already influence purchasing choices. Early studies show click-through rates soar when brands are named positively in LLM answers.
- Search result pages are shrinking. Google’s AI Overviews often satisfy intent without a single organic link. Brands must secure share-of-voice inside the answer box itself.
- Early movers lock in first-mover advantage. Just as 2010 SEO pioneers dominate today’s SERPs, 2025 AEO adopters will own AI chat visibility in 2030.
Getting started in three steps
- Audit – List your core branded and non-branded queries.
- Track – Spin up a Peec.ai project and benchmark two direct rivals.
- Act – Use Insight Cards to adjust content, schema, and PR cadence.