AI search

The company is also planning to launch an MCP (Model Context Protocol) server that will enable AI agents to connect to OtterlyAI data via a standard protocol.

The Linqia–AirOps collaboration empowers brands to harness creator content not just for social reach, but to shape how they appear when consumers turn to AI engines like ChatGPT, Perplexity, and Google AI Overviews for answers.

The launch further expands Later's growing enterprise intelligence and AI capabilities, enabling brands to forecast and optimise influencer marketing performance using first-party creator and commerce data.

Unlike traditional optimisation approaches, AI Brand Presence operates at the edge, enabling real-time adaptation of content delivery without requiring back-end changes and disrupting existing workflows or the human visitor experience.

Scout MCP and API join Yext's Management API and Content Delivery API as part of a connected ecosystem built for how agencies need to operate today.

Unlike traditional search metrics or AI search visibility metrics, CAI gives CMOs a single, board-ready score that quantifies their brand's authority in AI search and provides a clear roadmap to improve it.

Quill scans third-party sites for outdated or incorrect citations to check for brand inconsistencies both on-site and on third-party sources that heavily influence AI search results.

In a new partnership with Semrush, all Lovable users will have access to Semrush’s search intelligence natively inside the building experience, so founders can create projects for brand visibility and growth from the outset.

Reputation IQ, AI Reputation Manager, and AI Location Presence Insights give brands visibility into and control over how they are found, trusted, and chosen in AI-driven search.

As AI reshapes how consumers search and decide, marketers must move beyond clicks and MQLs to focus on visibility within AI-generated answers, redefining performance in a zero-click world.