This sprint strengthens Milestone’s AI Visibility Flywheel across Agentic Discovery, hyper-personalized content, and semantic understanding. These updates help brands understand how they appear in AI-driven journeys, create more relevant experiences at scale, and make their digital presence easier for AI systems to discover and interpret.

Agentic Discovery

GEO: Multi-language Support for Prompts

Opportunity

AI discovery is increasingly multilingual. Customers search, compare, and make decisions in their preferred language, but GEO visibility tracking was previously limited for non-English markets.

Solution

GEO prompts can now be configured in 16 languages, with AI responses and recommendations returned in the selected language.

Customer Impact

GEO customers can track AI visibility across regional markets, understand how they appear in local-language AI responses, and connect multilingual insights to content creation workflows.

GEO: OTA Mention Audit Report for Hospitality

Opportunity

For hospitality brands, AI platforms may cite OTAs instead of, or alongside, the hotel brand. This can influence users to book through third-party channels and create commission risk.

Solution

The OTA Mention Audit Report helps hospitality customers identify what prompts do we have the OTAs mentioned, what platforms do OTAs dominate, and where the brand appears alongside or ahead of OTAs in AI responses.

Customer Impact

Hospitality teams can better understand OTA displacement, protect direct booking opportunities, and prioritize optimization actions that improve brand visibility in AI discovery journeys.

Hyper-personalized Content at Scale

AI Agents: Knowledge Base Update

Opportunity

AI Agents need accurate, trusted, and current knowledge to deliver personalized responses. Customers needed more visibility into failed crawls, re-crawl options, and the ability to exclude certain pages from agent responses.

Solution

The AI Agent knowledge base now provides better crawl transparency, manual re-crawl controls, and page exclusion options.

Customer Impact

Customers gain more control over the knowledge powering their AI Agents, helping them improve response accuracy, remove outdated content, and deliver more relevant personalized experiences at scale.

Semantic Understanding

Schema: Server-side Inline Schema Rendering

Opportunity

AI agents and crawlers need structured data that is easy to access and understand. Schema that depends on client-side rendering may not always be read reliably by AI systems.

Solution

Schema is now rendered inline in the initial HTML response, making it available directly when the page loads.

Customer Impact

CMS customers can improve AI discoverability by making structured data more accessible to search engines, AI crawlers, and other discovery systems.