Dappier sat down yesterday with Bolt.new team for a live webinar walk-through, teaching devs how to instantly fine-tune, deploy & monetize an AI agent for their Bolt hackathon project.  Dappier recently teamed up with Bolt to host a live deep dive session for participants in Bolt’s Largest-Ever Hackathon. The goal: help developers deploy AI copilots […]

New Reporting from WSJ is sounding the alarm on AI search, and what that means for the Open Web A new Wall Street Journal investigation has surfaced what many in publishing already feel: traffic is disappearing. Fast. According to the report, Google’s AI Overviews — click-free search results generated by its Gemini LLM — are rolling out across millions of

Reddit’s latest UI update reflects a larger platform trend: embedding generative AI directly into search to retain user intent and reframe discovery. This past month, Reddit CEO Steve Huffman confirmed that the platform’s LLM-powered “Answers” feature would be integrated directly into Reddit’s main search bar. That rollout is now underway. Recent mobile app updates reflect

Dappier is a proud sponsor of Bolt.New’s largest-ever hackathon for vibe coders, with $1M in prizes. Claim a Bolt.New Builder Pack to receive 50% off a paid Dappier plan and 25$ in API credits! Check out below tutorial for building with Dappier and Bolt below: Empowering Builders in Partnership with Bolt.New Dappier is excited to

New capability brings contextual product suggestions and monetization to every AI interaction Dappier Conversational Commerce on HeyPat.AI Dappier is now testing conversational commerce for partners using AskAI answer engine, enabling publishers and developers to generate revenue from product suggestions embedded directly within AI chat interactions.  Adding a commerce layer to AI agents, Dappier now makes

The below blog was originally published by Dappier CTO Krish Arvapally on Medium. As traditional search collapses, Dappier offers a full-stack path for publishers to monetize their content in the age of AI agents — with the MCP protocol at the core. The internet’s tectonic plates are shifting — and publishers are standing at the

The shrinking funnel, by the numbers Search is moving from pages full of links to single, conversational answers. That change shrinks the space where paid ads can appear. eMarketer estimates that AI agents will reduce paid-ad exposure by 38 % at discovery, 47 % during consideration, and 30 % at conversion. Less space means fewer

The shrinking funnel, by the numbers Search is moving from pages full of links to single, conversational answers. That change shrinks the space where paid ads can appear. eMarketer estimates that AI agents will reduce paid-ad exposure by 38 % at discovery, 47 % during consideration, and 30 % at conversion. Less space means fewer

The AI Industry Has a Data Problem AI is advancing at an unprecedented pace, but there’s one major flaw holding it back: access to real-time, high-quality data. Right now, AI models have no built-in way to retrieve fresh, live information. Instead, they rely on scraping, outdated training data, or expensive third-party APIs to fill the

Google’s A2A protocol aims to standardize how AI agents communicate with each other, while protocols like MCP standardize how they interact with tools and data. At Google Cloud Next 2025, Google introduced Agent-to-Agent (A2A), an open protocol designed to enable AI agents to communicate, collaborate, and coordinate tasks across different systems. Supported by over 50 partners — including