Be the brand customers see when they ask AI
We ship weekly. Sometimes daily. Here's the proof.
Tag it, filter it, share it
What is it?
Prompts now support tags and filtered analytics. Tag your prompts however makes sense for your workflow (by funnel stage, product line, campaign, competitor), then filter to see aggregated visibility data for exactly that group. Combine with country filters for even more precision. Share the view via email when your CMO asks "how are we doing in Germany against competitor X?"
Why does it matter?
Until now, you had two speeds: one prompt at a time, or an entire topic. Neither helped when you needed to answer "how visible are we across all our TOFU prompts in the UK?" Now you can slice your monitoring data any way you need, get the aggregated picture in seconds, and forward it to whoever is asking.
Omnia MCP Write Operations
What is it?
We gave the Omnia MCP a pen. You can now create brands, topics, trends, and insights, and toggle monitoring on or off for individual prompts and topics, all from your AI assistant. It used to only read your data. Now it can act on it.
Want to set up a new brand with five prompts? Just describe what you need in plain language and Omnia builds it out. What used to be a multi-step process in the UI now happens in a single conversation.
Why does it matter?
Managing your AI visibility setup no longer requires switching to the Omnia UI for every change.
Add new brands, configure topic tracking, and generate insights in seconds through natural conversation with your AI assistant.
See what citations influence brand sentiment
What is it?
Previously only available at the prompt level you can now dive deep into what citations influence AI sentiment at the topic and brand level too.
Trace which AI answers mentioned your brand, cited your content, or attributed specific features across entire topics, not just individual prompts.
Available in the app and via the public API.
Why does it matter?
No more hunting through prompt-by-prompt results to find where your brand appeared.
Search from the brand or topic level and instantly see every AI answer where you were mentioned across sentiment analysis, brand extraction, and citations.
Agent-based Onboarding
What is it?
The activation flow has been completely rebuilt with an agent-based experience that guides you through brand setup step by step.
Why does it matter?
The previous onboarding wasn't super clear and helpful. The new guided flow is more intuitive and fully instrumented to ensure you get value from Omnia faster.
Credits
What is it?
Omnia now uses a credit-based pricing model for AI-powered features. Instead of flat-rate pricing, you're charged credits based on actual LLM usage.
Why does it matter?
Pay only for what you use. Credits give you more transparency and control over your AI feature consumption, no more overpaying for capacity you don't need.
Here's a blog post that goes into more depth on how these work, by no other than our own Buti.
Sentiment Analysis
What is it?
Omnia now analyzes not just where your brand appears in AI responses, but how it's being talked about, with feature-level sentiment detection across positive, negative, and neutral mentions.
Why does it matter?
Track how AI engines perceive your brand over time. Compare sentiment against competitors, spot your competitive advantages, and trace every evaluation back to the exact AI answer that drove it.
Mobile support
What is it?
The Omnia app is now usable on mobile devices with basic responsive navigation support.
Why does it matter?
You can now check your AI visibility on the go. The fixed sidebar that previously blocked mobile navigation has been replaced with a responsive layout.
Prompt insights
What is it?
Generate insights and get actionable recommendations to improve your prompt visibility on demand. No more waiting for scheduled analysis.
Why does it matter?
When you need to understand why a specific prompt is underperforming, you can now get answers instantly instead of waiting for the next analysis cycle.
MCP
What is it?
Omnia now supports the Model Context Protocol (MCP), letting you integrate Omnia intelligence directly into AI tools like Claude, Cursor, or any MCP-compatible platform.
Why does it matter?
Query your AI visibility data conversationally. Use Omnia's analytics, citations, and insights without leaving your AI workflow.
Purchase extra prompts without upgrading
What is it?
You can now purchase addon packs of 25 extra prompts without upgrading your entire plan.
Why does it matter?
Scale your monitoring capacity on demand. No need to jump to a higher tier just because you need a few more prompts tracked.
Signup and log in with your social account
What is it?
Sign up and log in to Omnia using your Google or LinkedIn account. No password required.
Why does it matter?
Reduces friction at signup and eliminates yet another password to remember and manage.
Generate new trend suggestions monthly
What is it?
Users now receive fresh topic and prompt suggestions every 15 days based on their usage patterns and past engagement.
Why does it matter?
Keeps your monitoring relevant as your market evolves. No more stale prompts that don't reflect current AI search behavior.
Public API
What is it?
Teams can now use Omnia programmatically to manage topics, prompts, monitoring, and access analytics and citation data via a public REST API.
Why does it matter?
Integrate Omnia with internal tools, data platforms, and automation workflows. Build custom dashboards, trigger alerts, or feed AI visibility data into your existing stack.
Full documentation available at docs.useomnia.com/api.
Brand and User Settings Management
What is it?
Full self-service brand and account management is here. Delete brands, edit brand info including competitors and merged brands, change your email, reset your password, and manage your subscription and billing. All in one place.
Why does it matter?
Previously, many account changes required contacting support. Now you have full control over your workspace without waiting.
Performance Improvements
What is it?
Monitor dashboards including share of voice, visibility, and citation analytics now load significantly faster thanks to a new caching layer.
Why does it matter?
Faster dashboards mean less waiting and more doing, especially when analyzing large datasets across multiple prompts and engines.
UX Improvements
What is it?
All tables across the platform now feature sticky headers, so column labels stay visible as you scroll through large datasets.
Why does it matter?
When working with extensive analytics data, you no longer lose track of which column you're viewing. Headers stay pinned at the top automatically.
Insights
What is it?
Omnia now analyzes your low-performing topics and prompts and generates a series of actionable insights to help you position better.
Why does it matter?
Insights move Omnia from a product that gives you raw data on your AI visibility to one that tells you exactly how to improve it, with recommendations categorized by Technical SEO, Content Placement, and Content Creation.
Brand recognition improvements
What is it?
Brand stats are now normalized automatically, and you can manually merge brands that appear under different names in AI responses.
Why does it matter?
Brands sometimes appear with different casing, spaces, or names (e.g. "Akai" vs "Akai Professional"). This ensures your share of voice and visibility analytics stay accurate.
Google AI Mode Tracking
What is it?
Omnia now tracks your visibility in Google's new AI-first search experience: AI Mode. Explore detailed AI responses and review the source citations behind them.
Why does it matter?
As Google shifts toward AI-powered search, understanding how your brand appears in AI Mode is critical to staying ahead of competitors.
Export analytics data to CSV
What is it?
You can now export analytics data directly to CSV from any dashboard in Omnia.
Why does it matter?
Makes it easier to work with your AI visibility data in Excel, Google Sheets, or BI tools across your internal workflows.