Velocity Blog

Insights

Perspectives on conversational advertising, publisher monetization, and the AI attention economy.

Abstract technical visualization of contextual relevance scoring
Engineering
How Velocity Scores Contextual Relevance: A Technical Overview
A look under the hood at how Velocity computes a relevance score for each conversation turn and why speed matters as much as accuracy.
Marcus Webb ·
Abstract visual representing content safety filtering in AI responses
Publisher Guide
Content Safety and Brand Suitability in AI Responses
How publishers can set category filters and why Velocity enforces brand suitability checks before every ad insertion.
Priya Nair ·
Abstract transition from traditional page views to conversation turn metrics
Industry
From Page Views to Conversation Turns: Rethinking Ad Impressions
Traditional CPM was designed for pages. AI chat introduces a fundamentally different unit of attention that requires a new measurement model.
Tal Shoham ·
Abstract representation of SDK integration into a chat platform
Tutorial
Integrating Velocity into Your Chat Application: A Step-by-Step Guide
A practical walkthrough of the Velocity SDK installation, stream configuration, and going live for the first time.
Marcus Webb ·
Abstract visualization of attention focus in the AI chat reading experience
Industry
The Attention Economy Shifts to AI Chat
People who ask AI assistants specific questions are not scrolling. They are focused. What that means for publishers and advertisers.
Tal Shoham ·
Abstract representation of an advertising element within a content flow
Product
Designing the Ad Format That Belongs Inside a Chat Response
What makes an in-conversation ad format feel natural rather than intrusive, and how we arrived at Velocity's sponsored card design.
Priya Nair ·
Abstract concept of benchmark data for publisher revenue in conversational AI
Publisher Guide
Publisher Revenue Benchmarks for Conversational Ads
What should publishers expect from RPM and fill rates in early-stage conversational advertising? Data from our early-access program.
Tal Shoham ·
Abstract visualization of intent signals emerging from conversation streams
Advertiser Guide
Intent Signals in Chat: What Advertisers Can Read from AI Conversations
A breakdown of the conversation turn signals Velocity surfaces for advertisers, and why they differ from search and social intent data.
Marcus Webb ·
Abstract concept of a privacy-protective layer between data and advertising
Privacy
A Privacy-First Ad Layer for AI Assistants
How Velocity targets ads using only conversation context rather than user profiles, and why that matters for publisher compliance.
Priya Nair ·
Abstract data visualization of CPM and CPC economics in conversational AI
Industry
Conversational Ad Economics: CPM, CPC, and What Comes Next
Mapping traditional ad pricing models onto the conversation turn unit, and where new pricing metrics may emerge for AI-native publishers.
Tal Shoham ·
Abstract visual representing balance between monetization and user trust
Publisher Guide
Monetize Your AI Chat Assistant Without Destroying Reader Trust
The five design principles we follow at Velocity to ensure every ad insertion strengthens publisher trust rather than eroding it.
Priya Nair ·
Abstract visualization of context-aware targeting replacing keyword clouds
Industry
Why Context Beats Keywords in AI Ad Targeting
Keyword-based targeting was built for search. AI chat conversations carry richer intent signals that contextual matching can capture more accurately.
Tal Shoham ·

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