# Which AI agents does Kachi actually detect and support?
Kachi gives you **true AI visibility** across 50+ AI platforms - including ChatGPT, Google Gemini, Perplexity, Claude, and Microsoft Copilot - by detecting and attributing every type of AI bot activity hitting your site. It classifies bots by intent (training, indexing, or answering), then correlates that activity with real sessions, conversions, and revenue inside GA4 and Google Search Console.
Most analytics platforms can't see AI traffic at all. Kachi closes that blind spot by ingesting your server logs or connecting via a Cloudflare Worker, giving you verified bot detection from live production traffic - not inferred estimates. The result: you know not just *who* is reading your content, but *which type of AI engagement* drives business outcomes.
## What AI ecosystems does Kachi cover?
Kachi tracks the full range of AI systems shaping discovery today - from dominant platforms to lesser-known background crawlers:
**Major platforms:**
- ChatGPT / GPTBot (OpenAI)
- Google Gemini
- Perplexity
- Claude (Anthropic)
- Microsoft Copilot
**Background agents (examples):**
- Petalbot
- Timpibot
- and many more
Each platform may include *multiple bots and agents* that interact with your content in different ways - which is why intent classification matters.
## How does Kachi classify bot behavior?
Kachi assigns every detected bot to one of three intent categories. Understanding which category is active on your site tells you *why* your content is being accessed and what to do about it.
### 1. Training Bots - Are they building tomorrow's AI models from your content?
Training bots crawl your content to feed future LLM training datasets. Their activity is a **long-term authority signal**: content ingested here shapes how future AI assistants reason, answer, and recommend - even without generating immediate human traffic.
**What to watch for:**
- High crawl volume from training bots on cornerstone or evergreen content
- Repeated visits suggesting re-crawl for updated model versions
### 2. Search-Index Bots - Is your content being mapped for AI-powered discovery?
Search-index bots catalog your pages so AI systems know your content exists and can surface it in AI-powered search, knowledge graphs, and citation engines. Indexing is a **leading indicator of visibility** - it means AI systems *see* your site and can call on it when answering queries.
**What to watch for:**
- New or updated pages being indexed quickly (positive signal)
- High-value pages absent from index activity (visibility gap to address)
### 3. Answer Bots - Is your content being fetched to answer real user queries right now?
Answer bots are triggered by live user queries and fetch your content in real time to generate answers, summaries, or citations. This category is the **most directly tied to conversion-driven visibility** - it captures AI engagement that influences a user's next action, including referral clicks to your site.
**What to watch for:**
- Spikes in answer bot activity correlated with referral traffic
- Content types (FAQs, how-tos, structured data) attracting disproportionate answer bot visits
## How does Kachi connect AI activity to revenue?
Kachi moves beyond raw bot counts by correlating AI signals with business outcomes. Two integration paths are available:
**Option A - Server Log Ingestion**
1. Export server logs from your hosting environment
2. Ingest into Kachi for bot identification and classification
3. Kachi maps bot visits to downstream GA4 sessions and conversions
**Option B - Cloudflare Worker Integration**
1. Deploy the Kachi Cloudflare Worker to your zone
2. Worker intercepts and tags AI bot requests at the edge in real time
3. Tagged signals flow into Kachi's dashboard and sync with GA4 and Google Search Console
Both methods produce **verified activity measurement** - detections sourced from production traffic, not modeled or inferred data.