Give your platform the one kind of context it can't build.
Lift AI's Website Buyer Context predicts which website visitors will buy, known or anonymous, using a model trained on 15 years of real revenue outcomes. Partners bring it into their product, so every decision their customers make starts from buying probability.
Every platform is racing to add context. Your customers' agents still can't tell who's going to buy.
The whole industry agrees: context is what makes AI useful in GTM. Platforms are connecting identity, signals and relationship history into richer context graphs, and putting agents to work on top of them. But connecting what you know about a buyer isn't the same as predicting whether they'll buy. Without that prediction, agents fall back on proxies, and every automated decision your customers make scales the guesswork faster.
of high-probability buyers never visit the pricing page.
of pricing-page visitors aren't high-probability buyers.
of website visitors stay anonymous at the person level.
That's the gap Lift AI fills, inside the platforms your customers already use.
Your product, measurably better at the thing your customers bought it for.
Better decisions in your product.
Every visitor, known or anonymous, arrives with a Buyer Probability Score and a Buyer Context Brief, so your routing, prioritization, targeting and agents act on likelihood to buy instead of proxies.
Value from traffic they already have.
Lift AI works on anonymous visitors from their first session, so your customers can act on the 70% of traffic most tools can't evaluate.
Results graded on revenue.
The Revenue Loop ties your product's decisions to pipeline and revenue, not clicks and meetings booked. Your customers can prove your platform's ROI on the numbers their CFO cares about.
Live in minutes.
One block of code on the customer's website. No data project, no new dashboard.
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You could build a buyer score. You can't build this one.
Any platform can score the visitors it sees doing the things it already tracks. That model learns from proxies, and a model trained on form fills learns to predict form fills. Predicting who will actually buy takes something else: website behavior tied to real revenue, for buyers and non-buyers, at scale.
of website behavior tied to real revenue.
of website visits.
of commission-audited sales outcomes.
15 years of ground truth.
Billions of website visits linked to millions of commission-audited sales outcomes, across B2B and B2C and many industries.
Collected before cookie loss.
Much of that history predates the privacy changes that made website behavior harder to see. It would be nearly impossible to collect today.
The full distribution, not the engaged few.
Lift AI learned from the buyers who converted and the visitors who didn't, which is what makes a probability honest.
Accuracy you can check.
85%+ accuracy, graded on each customer's own traffic against their own pipeline and revenue.
Models change. Ground truth compounds.
Lift AI owns the prediction. Your platform owns the decision.
Lift AI isn't an orchestration layer, a CRM or another place for your customers to log in. It does two things — predicts at the front and grades at the back — and leaves everything in between to you.
Lift AI owns the prediction at the front and the grading at the back. Your platform owns the decisions in between.
Four ways to connect.
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On-site tools read the Score and Brief in the same session.
Google Tag Manager triggers
Fire experiences and workflows when a visitor crosses into a probability band.
API
Bring Scores and Briefs into your platform's records, fields and workflows.
MCP
Let your agents call Website Buyer Context directly.
Three ways to work together.
Integration partners
Connect your platform to Lift AI so shared customers can use the Score and Brief natively inside your product: in routing rules, segments, playbooks, audiences and agent instructions.
Embedded partners
Make buyer probability a native feature of your platform, powered by Lift AI, for every customer you serve.
Go-to-market partners
Co-market, co-sell and refer. Joint customer stories, shared content and introductions to customers who'd benefit from both.
Lift AI makes the platforms around it perform better.
When Lift AI ranked the prospects already inside their top 6sense Purchase Stage segment.
From probability-based chat, mostly with anonymous visitors.
From probability-based retargeting on the same ad budget.
Already working together.
Chili Piper
Buyer probability behind inbound conversion, routing and chat.
AudienceX
Buyer probability behind programmatic audiences and media spend.
Let's put buyer probability inside your product.
Tell us about your platform and your customers, and we'll show you where Website Buyer Context fits.