Release May 28, 2026
Product Release Updates: Faster AI Execution, Stronger Content Governance, and Smarter Multi-Site Workflows
AI search is changing how customers discover, evaluate, and choose brands. The teams that win will be the ones that can see where they are missing visibility, act on those gaps quickly, create content with the right business context, and govern every workflow with confidence.
This release moves the platform further in that direction.
Across GEO Intelligence, Content Studio, CMS, and MPC, the focus is clear: reduce operational friction, make AI-driven workflows easier to execute, and give enterprise teams more control over how content, recommendations, and approvals move through the platform.
GEO Intelligence
Faster Prompt Setup with Inline Persona and Scenario Creation
Prompt tracking works best when it reflects the way real customers ask questions. That means prompts need context: who is asking, what they are trying to do, and what kind of journey they are in.
Previously, setting up that context created unnecessary friction. If a user was adding a prompt and needed a new persona or scenario, they had to leave the prompt workflow, go into settings, create the persona or scenario, and then return to the original flow.
That may sound like a small interruption.
At scale, it becomes workflow debt.
For teams managing prompts across brands, locations, customer types, and search journeys, every extra click slows down AI visibility setup.
What’s New
Users can now create personas and scenarios directly inside the prompt creation workflow.
When a user adds a prompt, they can create a new scenario inline instead of leaving the screen. The same applies to personas. If the user enters a persona such as “Marketing Manager,” the system can pre-fill draft details, which can then be reviewed and edited.
This makes prompt setup faster, more intuitive, and more aligned to how teams actually think about AI discovery.
What’s Next
This release is a step toward more intelligent prompt management.
The next evolution is not simply adding more prompts. It is helping teams organize prompts by topic, intent, branded versus unbranded journeys, location-specific needs, and customer scenarios.
That sets the foundation for smarter prompt grouping, better enterprise-scale management, and eventually more conversational ways to manage GEO workflows.
Why It Matters
AI visibility depends on the quality of the prompts being tracked.
The easier it is to create, organize, and contextualize prompts, the faster teams can understand where they are visible, where they are missing, and what they need to improve.
This release removes friction from one of the most important setup steps in GEO Intelligence.
Grouped Accuracy Recommendations by Citation Source
AI visibility is not just about whether a brand appears. It is also about whether the information AI systems are using is accurate.
When AI platforms cite incorrect phone numbers, outdated details, or inconsistent business information, teams need a clear way to identify and fix those issues.
Previously, accuracy recommendations could appear as long lists of individual issues. The same problem could show across multiple profiles and citation sources, creating a large number of rows that were hard to review, prioritize, and act on.
For enterprise teams, this kind of volume makes action slower.
What’s New
Accuracy recommendations are now grouped by citation source.
Instead of reviewing repeated rows one by one, users can now look at a citation source, such as Agoda or Booking.com, and see the issues connected to that source in one place.
This makes the recommendation workflow easier to analyze and much easier to act on.
What’s Next
This strengthens the foundation for a more mature citation management workflow.
As GEO Intelligence expands, teams will need to understand not just where AI systems cite them, but which sources are helping, which sources are hurting, and which sources need correction.
Grouped recommendations are an important step toward that operating model.
Why It Matters
AI accuracy issues are only useful if teams can act on them.
By organizing recommendations around citation sources, GEO Intelligence helps teams move from raw issue lists to practical resolution workflows.
Less scanning.
Less duplication.
Faster action.
Better trust in the data.
More Complete GEO Recommendations Across AI Platforms
AI visibility is rarely all or nothing.
A brand may appear in one AI engine but be missing from another. It may show up in ChatGPT but not in Gemini, or appear in one model while competitors appear in another.
That partial visibility matters.
Previously, recommendations were not always generated when a brand was visible on some AI platforms but missing from others. For example, if a brand appeared on two out of four enabled AI platforms, the system did not always surface a recommendation.
That meant teams could miss meaningful visibility gaps.
What’s New
GEO Intelligence now generates recommendations when a brand is not visible on 50% or more of the enabled AI platforms.
If a brand is missing from half or more of the AI engines being tracked, the platform now treats that as a meaningful optimization opportunity and surfaces recommendations accordingly.
What’s Next
This creates a stronger signal layer for future prompt optimization workflows.
As GEO Intelligence evolves, recommendations will become more dynamic, more configurable, and more connected to the actions teams can take across content, schema, and local presence.
Why It Matters
The teams that win in AI search are not just tracking visibility.
They are acting on the right gaps.
This update helps ensure customers see recommendations when visibility is inconsistent across AI platforms, so they can focus on improving discoverability where it matters most.
Faster Prompt Management for Larger Prompt Libraries
As brands mature in GEO Intelligence, their prompt libraries grow.
They begin tracking branded prompts, non-branded prompts, location-specific prompts, competitor prompts, destination prompts, and customer journey prompts.
That creates a new challenge: prompt management has to remain easy even as the library expands.
Previously, when users added a new prompt, it could appear far down the list, making it hard to find immediately. Users also had limited ability to search and filter prompts when assigning them to scenarios.
What’s New
Newly added prompts now appear at the top by default, making recent additions easier to find.
Sorting now supports multiple states, including ascending, descending, and reset. Users can also search and filter prompts when adding them to scenarios.
What’s Next
The next step is more intuitive prompt organization.
Prompt grouping by topics, categories, and customer journeys will make it easier for enterprise teams to manage hundreds of prompts without relying only on filters.
Why It Matters
Prompt management needs to scale with the customer.
These updates reduce everyday friction and make GEO Intelligence easier to operate for teams managing larger, more complex AI visibility programs.
GEO Intelligence + Content Studio
Flexible Content Creation from GEO Recommendations
The real value of GEO Intelligence is not just seeing where a brand is missing.
It is turning that insight into action.
When GEO Intelligence identifies that a brand is not visible for an important prompt, the next step is often content creation. The platform already supports that connection by allowing users to create content from a GEO recommendation.
Previously, that workflow forced users into article creation. If the user wanted another content type, they had to restart inside Content Studio and manually copy the topic, keywords, and recommendation context.
That slowed down the path from insight to execution.
What’s New
Users can now choose the content type or template when creating content from a GEO recommendation.
The recommended article template is still available, but users are no longer locked into one content format. The GEO context, including the topic and keywords, carries into Content Studio automatically.
What’s Next
This sets up a more flexible content execution layer across GEO and Content Studio.
As more templates and workflows become available, teams will be able to turn AI visibility gaps into the right content format for the right use case, whether that is an article, landing page, FAQ, campaign asset, or another structured output.
Why It Matters
AI visibility gaps should not create manual work.
This release reduces copy-paste effort, preserves recommendation context, and helps teams move faster from GEO insight to publish-ready content.
That is how the AI Visibility Flywheel becomes operational.
Insight.
Recommendation.
Content.
Improved visibility.
CMS
Centrally Managed Components for Parent-Child Site Networks
Enterprise brands often manage multiple websites under one organization.
Dealer groups, banking networks, multi-brand businesses, franchise structures, and regional site networks all face the same challenge: how do you keep shared content consistent without forcing teams to update every site manually?
The legacy parent-child framework created a black-box experience. When a change was made on the parent site, users did not always know what happened next. They could not easily tell whether the update had started, whether it was queued, whether it was completed, or whether something failed.
For customers managing large site networks, that uncertainty creates real operational risk.
What’s New
Page Studio now supports centrally managed components for parent-child site structures.
Business administrators can manage shared components from the parent site. Those components are then available across child sites, including sites on different domains.
When a centrally managed component is updated on the parent site, the update can be reflected across the child sites. Child site users can place and consume the component, while parent-controlled records remain protected from child-side editing.
Agency developers can also mark standard components as centrally managed during component creation.
The workflow supports two sync models:
- Full sync, where both design and content are controlled from the parent
- Content-only sync, where parent-managed content can be shared while child sites retain local design flexibility
Centrally managed components are clearly tagged, so users understand where the component is controlled from.
What’s Next
This is the first phase of a broader parent-child workflow improvement.
The next phase expands into editing workflows, local sync visibility, dashboards, and clearer status tracking so customers have more transparency into how content moves across site networks.
It also opens the door to broader content distribution use cases for enterprise customers that need to update shared content across many sites at once.
Why It Matters
Multi-site content management should not depend on repeated manual updates or engineering intervention.
This release gives enterprise teams a cleaner way to manage shared content once and distribute it consistently.
It improves governance.
It reduces rework.
It helps teams move faster without losing control.
For large brands, that is the difference between managing websites one by one and operating a scalable digital experience network.
Content Studio
Knowledge Vault for Business-Aware Content Generation
AI-generated content is only as strong as the context behind it.
Customers do not want generic content. They want content that understands their business, their property, their services, their audience, and their approved source material.
Previously, Content Studio could generate content, but it did not always have access to the deeper business context needed to make that content specific, accurate, and useful.
That matters even more as brands use AI to create content at scale.
More content is not enough.
It has to be grounded in the right knowledge.
What’s New
Knowledge Vault is now available as a centralized service that can support Content Studio and AI Agents.
Customers can store files, references, and business material at the profile level so products across the platform can access the same approved context.
This allows Content Studio to generate content with stronger business grounding instead of relying only on generic prompts or limited page-level inputs.
What’s Next
Knowledge Vault is the first step toward a broader context memory layer for the platform.
Over time, this can become the foundation for a customer-specific knowledge graph that supports content generation, AI agents, recommendations, and other AI-powered workflows across the platform.
The direction is clear: the more the platform understands about a customer’s business, the more useful every AI workflow becomes.
Why It Matters
The future of AI content is not just faster generation.
It is better context.
Knowledge Vault helps customers bring approved business knowledge into AI workflows, improving content relevance, reducing generic output, and supporting a more connected platform experience.
Guided Onboarding and What’s New Experience in Content Studio
Many customers enter Content Studio but do not complete the setup steps that make the product more effective.
Brand voice.
Target audience.
Content intelligence.
Profile setup.
When those pieces are incomplete, the content experience becomes less useful than it could be.
Existing users face a different problem. New capabilities are being added quickly, but users may not always know what has changed or which new workflows they should try.
What’s New
Content Studio now includes a guided onboarding and What’s New experience.
New users can see what setup steps are complete, what still needs attention, and where to go next. Existing users can discover newly released capabilities and use a simple checklist to take action.
The experience is designed to be direct: see the next step, click into the workflow, complete the task.
What’s Next
This creates the foundation for stronger product-led onboarding inside Content Studio.
As more workflows are added, the onboarding experience can evolve into a guided adoption layer that helps customers understand what to do next based on their setup, usage, and goals.
Customer feedback should continue to shape this experience before broader rollout.
Why It Matters
A powerful product only creates value when customers know how to use it.
This release helps users complete setup faster, discover new capabilities more easily, and get more value from Content Studio without relying as heavily on training or support.
It turns onboarding into an active product experience instead of a separate support motion.
MPC Platform
Centralized Workflow Moderation for Enterprise Governance
As more content, schema, pages, assets, and AI-generated outputs move through the platform, approval governance becomes more important.
Enterprise teams need to know who submitted something, who reviewed it, who approved it, who rejected it, and what changed along the way.
Without a centralized moderation layer, approval workflows can become inconsistent across products.
That creates risk.
It also creates operational drag.
What’s New
MPC now includes a centralized workflow moderation capability designed to support approval workflows across the platform.
The system includes workflow definition, workflow execution, and workflow query modules. It supports approval templates, stage definitions, approver assignments, bypass conditions, and workflow actions such as submit, approve, reject, request feedback, withdraw, and resubmit.
The approval management dashboard gives teams visibility into submission status,workflow type, profile, request owner, assigned approver, and review actions.
The system also supports audit trails, email and in-app notifications, product callbacks, webhooks, retries, and dead-letter handling to make the workflow reliable and traceable.
What’s Next
The platform APIs and approval management system are now in place.
The next step is connecting the end-to-end experience into product workflows, starting with CMS and expanding to Content Studio and other platform areas.
This becomes the moderation foundation for role-based approvals across content, pages, assets, schema and future AI-generated outputs.
Why It Matters
Governance cannot be an afterthought in enterprise AI and content operations.
This release creates a reusable approval layer that gives teams visibility, accountability, and control.
Every decision is logged.
Every approval is traceable.
Every stakeholder has a clearer view of the process.
That reduces risk and helps customers scale content operations with confidence.
Executive Summary
This release continues the shift from AI visibility and content strategy into practical execution.
GEO Intelligence is becoming easier to configure and more actionable.
Content Studio is becoming more business-aware and easier to adopt.
CMS is making multi-site content governance more scalable.
MPC is introducing the approval infrastructure needed for enterprise-grade moderation across products.
Together, these releases reduce friction, improve governance, and help customers move faster from insight to action.
That is the direction of the platform: fewer disconnected workflows, more intelligent execution, and stronger control at enterprise scale.