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Feature: serp

Agentic Pixel

JS snippet that classifies visits as human, classic bot, or LLM agent, with per-agent attribution for ChatGPT, Claude, and Perplexity.

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What is Agentic Pixel?

Agentic Pixel is Scavio's drop-in JS snippet (and server-side counterpart) that detects and classifies incoming visits as human, classic bot, or LLM agent. It reads user-agent, behavioral fingerprint, and Scavio's maintained signature database to attribute visits to specific agents (ChatGPT Agent, Claude Computer Use, Perplexity crawler, OpenAI Operator). Results feed directly into GA4, Segment, or warehouse pipelines for the new agentic-traffic analytics segment.

Example Response

JSON
{ "visit_id": "v_22", "classification": "llm_agent", "agent_name": "chatgpt_agent", "confidence": 0.94 }

Use Cases

  • Agentic traffic analytics on marketing sites
  • Differential serving for human versus agent visitors
  • Robots.txt and throttling policy inputs
  • AEO attribution models

Why Agentic Pixel Matters

Classic analytics cannot distinguish an LLM agent from a human; agentic pixel is the measurement layer every marketing team will need as agentic traffic grows past 10% of visits.

Frequently Asked Questions

Send a search request with the appropriate platform (google) and Scavio returns agentic pixel data in the response. See the example above for the exact field path.

Yes. Scavio fetches agentic pixel data in real time on each request. There is no caching layer and no stale data.

Agentic Pixel is Scavio's drop-in JS snippet (and server-side counterpart) that detects and classifies incoming visits as human, classic bot, or LLM agent. It reads user-agent, beh

Agentic Pixel data is returned as part of the standard search response. Each request costs 1 credit. Free tier includes 500 credits/month.

Start Using Agentic Pixel

JS snippet that classifies visits as human, classic bot, or LLM agent, with per-agent attribution for ChatGPT, Claude, and Perplexity.

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