Kachi offers an AI visibility and attribution platform that identifies and classifies traffic from over 40 large‑language‑model vendors, mapping it to user sessions, conversions, and revenue using server logs, GA4 and Search Console data. The service provides daily dashboards with vendor‑level traffic breakdowns, Answer Engine Optimization scores, and attribution windows up to 14 days, helping SEO, growth and content teams quantify the business impact of AI‑driven visits.
Funding
Funding not disclosed
Founders
Product
Problem
Marketers and product teams cannot see how AI assistants such as ChatGPT, Perplexity, Gemini, or Claude discover, cite, and drive traffic to their websites, so AI‑generated visits are hidden in “direct” or “unknown” analytics and their impact on conversions and revenue remains unknown.
Solution
Kachi provides an AI visibility and attribution platform that identifies traffic originating from over 40 large‑language‑model (LLM) vendors. It classifies AI interactions into three core signals—AI Indexing (pages cached as answers), AI Realtime Retrieval (live fetches during user queries), and AI Training (model‑training crawlers). By ingesting server logs, GA4 data, and Google Search Console feeds, Kachi maps these AI‑sourced visits to real user sessions, conversion events, and revenue. The platform delivers daily refreshed dashboards with vendor‑level breakdowns, Answer Engine Optimization (AEO) scores, and same‑day to 14‑day attribution windows, enabling teams to quantify and optimize the business impact of AI‑driven traffic.
Target Audience
Primary users are SEO, growth, and content teams at mid‑size to enterprise companies that need to measure AI‑driven traffic and its revenue impact, as well as executives requiring board‑ready AI visibility metrics.
Features
- Daily ingestion of server access logs and integration with GA4 and GSC to capture AI Indexing, Realtime Retrieval, and Training activity
- Vendor‑specific dashboards showing AI traffic volume, month‑over‑month trends, and country‑level drill‑downs for 40+ LLM platforms
- LLM‑referred conversion attribution with same‑day and 2–14 day windows, linking AI visits to revenue in GA4
- Answer Engine Optimization (AEO) scoring per page, with ranked lists of business and knowledge pages based on AI citation frequency
- Cohort analysis comparing AI‑influenced sessions to organic traffic, highlighting higher conversion rates
- Exportable CSV reports and API access for custom analytics pipelines