AI Traffic & Signal Quality
See, measure and price the AI-agent traffic hitting your properties — and make sure your data pipeline treats it correctly.
Every property is now serving three populations — humans, bots and AI agents. Analytics products that treat that as a two-class problem will mislead your team quietly and consistently. Gravito's classification is three-way by default, so the decisions you make with it are honest, and your ML pipelines train on data that's actually representative.
What the platform gives you.
Human, bot, AI agent — every session labelled at the edge. No binary "valid/invalid" flag hiding a growing AI-agent population.
See which crawlers and browsing agents are hitting your properties, at what volume, and how their patterns differ from human sessions.
The classification is exposed as a first-class attribute on every event. Downstream models can filter, weight or split by it — cleanly.
Once you can measure AI-agent traffic separately, you can price it separately. AI access as a product, not a leak.
What we hear from teams like yours
- LLM crawlers and AI browsing agents are hitting your pages but analytics can't tell
- You want to price AI-agent access separately but have no measurement layer
- Downstream ML models are training on data that mixes human and agent behaviour
- No one is watching where the trend line is going
LLMs, browsing agents, autonomous tools — a population that didn't exist three years ago.
Gravito Human Detection runs at the edge and classifies every session across three classes — not two. The Human Signal is what runs today. The bot signal has been around for years. The AI-agent signal is what most analytics tools still don't measure — and it's already 10-30% of traffic on the properties we work with.
- ◆ Behavioural signals distinguish humans, bots and AI agents in real time
- ◆ Classification runs at the edge — no server round-trip, no impact on page speed
- ◆ New AI-agent signatures deployed automatically as the landscape shifts
Train on human sessions. Or train on a mix, deliberately.
Every event that lands in your warehouse carries the Gravito classification. Filter to humans for your CX models. Include AI agents when you're studying content discovery. Split the training set explicitly — instead of pretending the AI-agent share is zero.
- ◆ Classification travels with every event in Snowflake, BigQuery, Databricks
- ◆ Historical backfill so past data can be re-labelled
- ◆ Cohort-level dashboards so ML teams can audit their training slices
If they want your content, charge for it — deliberately.
Traffic Quality Visibility exposes AI-agent traffic by source. Which agent, what content, how often. The teams that lead here are already using that data to structure paid AI-access agreements — pricing what used to be leaking away.
- ◆ Per-agent volume dashboards
- ◆ Content-level view of what's being scraped
- ◆ Signal ready for licensing and RAG-access negotiations
What customers see
The new class of traffic
Every property is now serving three populations — humans, bots and AI agents. Analytics products that treat that as a two-class problem will mislead your team quietly and consistently. Gravito’s classification is three-way by default, so the decisions you make with it are honest.
Where to start
Bridge anonymous visits to personalised experiences. A first-party data toolkit that ties consent, identity and visitor profile into one platform.
See what your analytics hide — bots, scrapers, LLM agents and low-intent sessions, broken out per channel.
Know which of your visitors are human — before anything else loads. The Human Signal, available on the data layer in the first page load.
Let's map it to your traffic
Bring a URL. We'll show you what changes.