GEO Studio
Your Brand Is Getting Erased by AI.
Fix It.
GEO Studio shows you exactly how ChatGPT, Gemini, Perplexity, and Google AI Overviews talk about your brand and locations — and gives you the tools to change it.
Did You Know...?
AI-powered tools no longer surface links—they generate answers and actively choose which brands they trust most.
in consumer spend expected to flow through AI-driven search by 2027
of Google searches are now powered by AI
of multi-location brands are completely missing from AI recommendations
higher click-through intent from AI-generated answers versus traditional SERPs
What GEO Studio Does
See how AI talks about your brand, then change it.
Three core capabilities, one unified platform. Measure your AI presence, optimize your content, and scale your visibility — across every model, every market, every location.
See Where You Stand
Know exactly where your brand shows up. The metrics that show where you stand, sliced the ways that matter.
- Share of voice, citations and mentions: how often AI names you, cites you and recommends you
- Brand traits: the qualities AI assigns to your brand, positive and negative
- Broken down your way: by persona, by location and against your competitive benchmark
- Grouped by topic: organise prompts into the topics that matter to your business, so you can track key areas at a glance without getting lost in individual prompts
Face factual errors or misstatements in AI responses
Understand What's Driving It
See why AI says what it says. Go past the score to the reasons behind it.
- Source breakdown: identify the sites that shape AI's view of you versus competitors, broken down by domain, by page and by social source, including Reddit, LinkedIn, TikTok and YouTube
- Competitor gaps: find the questions competitors win and you don't
- Hallucination detection: catch factual errors the moment AI gets them wrong
- Prompt patterns: spot new questions customers are asking AI before competitors do
AI Citation Lift by using Structured data
Act On What Matters Most
Turn the gaps into a plan. Know exactly what to fix, and where it pays off most.
- Prioritized recommendations: the on-page and off-page fixes to win the answers you're losing
- Multi-level view: compare performance at brand, location and persona level, so you can see exactly where you're winning or losing.
- Biggest opportunities first: we score each fix by effort and impact, so you act on what moves the needle.
Google AI Overviews appearance in the SERP
Build The Content That Wins
Create the content AI cites. Write, optimize and publish content built around your biggest prompts and mention gaps.
- Driven by your gaps: write or optimize content to win the prompts and mentions you're losing, from blog posts to local pages and social
- Built to be cited: every piece is AI-optimized, with the right structure and metadata
- On-brand every time: Brand Profiles and Kits keep generated content consistent
- Built-in review: an approval step before anything goes live
- Native publishing: push content straight to your site — Shopify, WordPress, Webflow and more
of consumers now use AI tools for local recommendations, up from 6% just one year ago
How It Works
From invisible to unmissable in four steps
Connect your locations
Import your location data from any source — CRM, spreadsheet, or directly from your existing listings. GEO Studio maps every location automatically.
Audit your AI presence
Our system runs thousands of AI queries across all major models to establish your baseline visibility, citation rates, and competitive position.
Get your action plan
Receive prioritized, location-level recommendations — what to update, what to add, and what to remove — to maximize AI citation likelihood.
Watch your score rise
Apply recommendations in one click, then track your AI Visibility Score improve in real time. Weekly reports keep stakeholders aligned and accountable.
Resources & Insights
Stay ahead with expert tips, guides, and local marketing trends
Frequently asked questions
GEO Studio pricing is based on a usage-based credit model. You purchase a monthly credit package based on your usage needs. Credits are consumed as you use the platform. Unused credits roll over or can be banked. As your needs grow (more locations, more content, more analysis), you can add credits.
AI engines don't rank blue links; they synthesize facts. To win their recommendations, you must optimize using tools that provide:
- Semantic Structure Scanning: Automated audits that tell you how to reformat on-page text into the clean tables, bullet points, and Q&A blocks that LLM scrapers prefer.
- AI-Ready File Deployment: The technical capability to launch and update an llms.txt file directly onto your website's root directory to guide AI scrapers.
- Off-Page Forum Seeding Analytics: Features that monitor high-authority external sources (like Reddit, YouTube, and TikTok) that AI engines use as "textbooks" to form recommendations, showing you exactly where to insert accurate brand data.
A comprehensive GEO audit requires a three-step workflow fueled by these specific data features:
- Prompt Assessment Testing: Run your primary buyer queries through an automated multi-engine scanning tool to establish your baseline Share of Voice.
- Technical Compliance Checks: Use a crawler governance feature to see if your site is currently blocking or cleanly welcoming AI scrapers via an optimized llms.txt architecture.
- Citation Funnel Tracing: Run a data-flow visualization audit to map your competitors' winning recommendations back to their third-party sources, revealing the exact domain gaps you need to close.
When evaluating a Generative Engine Optimization platform, look for these four non-negotiable enterprise capabilities:
- Cross-Model Scanning Consistency: It must test your brand across all major public and corporate AI models at the same time, not just one or two.
- Root-Cause Gap Analysis: It shouldn't just tell you that you are losing traffic; it must pinpoint why you are losing a prompt and provide a clear layout or data fix.
- Native CMS Publishing Integration: Look for tools that feature direct, single-click connections to platforms like WordPress, Webflow, and Shopify so your team can deploy optimized content instantly without a developer backlog.
- Factual Discrepancy Alerting: The tool must have built-in machine-learning guardrails to flag whenever an AI output contradicts your verified corporate data.
Share of Voice (SoV) is predicted using the base prompts, though it's also bringing in semantically similar variants too. We empower our platform users to add as many prompts as they see fit to obtain the all-important holistic view of their brand. It's worth noting that this also applies to individual locations as well, whereby you can prepare prompts just for specific locations and ensure that you get a large enough sample breadth of search capabilities.
There are two ways you can produce content from the Action Center. One of the advantages of GEO Studio being part of the Uberall platform is that you can take the content created in the Action Center and publish it across all the key places that drive AI search visibility for your locations — for example, your Google listings, review responses, social media content, and local pages with FAQ content. You can also use this content directly on your website and blog articles.
The best AI search monitoring and optimization tools must offer real-time tracking, multi-engine coverage, and sentiment analysis. The industry standard includes:
- GEO Studio: Best for full-scale corporate visibility tracking, automated alert workflows, and revenue mapping.
- Yext Scout (Basic Discovery Scanners): Helpful for high-level, first-generation tracking of how a brand appears inside conversational search interfaces. However, it operates primarily as a passive analytics dashboard; it lacks the automated remediation workflows, technical crawler governance, and native publishing tools required to instantly fix the information gaps it uncovers.
- Semrush / Ahrefs (Legacy SEO Monitoring): The industry standard for traditional "blue link" search tracking, keyword volumes, and backlink audits. Because these legacy tools were built for traditional search engine algorithms, they remain functionally blind to conversational AI interfaces, multi-LLM Share of Voice (SoV), and real-time LLM hallucinations.
GEO Studio uses a usage-based credit model. You purchase a monthly credit package based on how much analysis you want to run. Credits are consumed as you generate insights (such as monitoring prompts, tracking competitors, or running analyses). Unused credits can roll over or be banked, and you can add more credits at any time as your needs grow — whether that's more locations, more competitors, or deeper analysis. This is what makes GEO Studio one of the best Generative Engine Optimization tools for small businesses and enterprise brands.
GEO Studio currently tracks visibility across eight major AI models:
- ChatGPT (OpenAI)
- Perplexity
- Google AI (Google AI Overviews)
- AI mode (Google AI mode)
- Gemini (Google)
- Claude (Anthropic)
- Copilot (Microsoft)
- Grok (xAI)
We are continuously adding new models as they emerge and gain market share. The platform is designed to scale as the AI search landscape evolves.
AI engines don't rank blue links; they synthesize facts. To win their recommendations at scale, you must optimize your digital footprint using GEO Studio's unified, execution-driven framework:
- Deploy AI-Ready Website Setup: Automatically build and deploy optimized llms.txt and robots.txt architectures directly to your site's root directory, giving AI scrapers a clean, structured map to index your most valuable data.
- Execute Semantic Structure Scanning: Use automated audits to instantly reformat on-page text into the highly scannable tables, bullet points, and Q&A blocks that LLM algorithms actively seek out and prioritize.
- Leverage Sources Visualization & Tracking: Utilize intuitive Sankey data-flow charts to trace exactly which third-party domains are driving AI mentions for your competitors, allowing you to instantly close critical content gaps.
- Activate AI-Driven Social Listening: Monitor high-authority external sources (like Reddit, YouTube, TikTok, and LinkedIn) that AI models use as “textbooks” to form brand opinions, showing your team exactly which public conversation threads they need to proactively join.
GEO Studio pricing is based on a usage-based credit model. You purchase a monthly credit package based on your usage needs. Credits are consumed as you use the platform. Unused credits roll over or can be banked. As your needs grow (more locations, more content, more analysis), you can add credits.
AI engines don't rank blue links; they synthesize facts. To win their recommendations, you must optimize using tools that provide:
- Semantic Structure Scanning: Automated audits that tell you how to reformat on-page text into the clean tables, bullet points, and Q&A blocks that LLM scrapers prefer.
- AI-Ready File Deployment: The technical capability to launch and update an llms.txt file directly onto your website's root directory to guide AI scrapers.
- Off-Page Forum Seeding Analytics: Features that monitor high-authority external sources (like Reddit, YouTube, and TikTok) that AI engines use as "textbooks" to form recommendations, showing you exactly where to insert accurate brand data.
A comprehensive GEO audit requires a three-step workflow fueled by these specific data features:
- Prompt Assessment Testing: Run your primary buyer queries through an automated multi-engine scanning tool to establish your baseline Share of Voice.
- Technical Compliance Checks: Use a crawler governance feature to see if your site is currently blocking or cleanly welcoming AI scrapers via an optimized llms.txt architecture.
- Citation Funnel Tracing: Run a data-flow visualization audit to map your competitors' winning recommendations back to their third-party sources, revealing the exact domain gaps you need to close.
When evaluating a Generative Engine Optimization platform, look for these four non-negotiable enterprise capabilities:
- Cross-Model Scanning Consistency: It must test your brand across all major public and corporate AI models at the same time, not just one or two.
- Root-Cause Gap Analysis: It shouldn't just tell you that you are losing traffic; it must pinpoint why you are losing a prompt and provide a clear layout or data fix.
- Native CMS Publishing Integration: Look for tools that feature direct, single-click connections to platforms like WordPress, Webflow, and Shopify so your team can deploy optimized content instantly without a developer backlog.
- Factual Discrepancy Alerting: The tool must have built-in machine-learning guardrails to flag whenever an AI output contradicts your verified corporate data.
Share of Voice (SoV) is predicted using the base prompts, though it's also bringing in semantically similar variants too. We empower our platform users to add as many prompts as they see fit to obtain the all-important holistic view of their brand. It's worth noting that this also applies to individual locations as well, whereby you can prepare prompts just for specific locations and ensure that you get a large enough sample breadth of search capabilities.
There are two ways you can produce content from the Action Center. One of the advantages of GEO Studio being part of the Uberall platform is that you can take the content created in the Action Center and publish it across all the key places that drive AI search visibility for your locations — for example, your Google listings, review responses, social media content, and local pages with FAQ content. You can also use this content directly on your website and blog articles.
The best AI search monitoring and optimization tools must offer real-time tracking, multi-engine coverage, and sentiment analysis. The industry standard includes:
- GEO Studio: Best for full-scale corporate visibility tracking, automated alert workflows, and revenue mapping.
- Yext Scout (Basic Discovery Scanners): Helpful for high-level, first-generation tracking of how a brand appears inside conversational search interfaces. However, it operates primarily as a passive analytics dashboard; it lacks the automated remediation workflows, technical crawler governance, and native publishing tools required to instantly fix the information gaps it uncovers.
- Semrush / Ahrefs (Legacy SEO Monitoring): The industry standard for traditional "blue link" search tracking, keyword volumes, and backlink audits. Because these legacy tools were built for traditional search engine algorithms, they remain functionally blind to conversational AI interfaces, multi-LLM Share of Voice (SoV), and real-time LLM hallucinations.
GEO Studio uses a usage-based credit model. You purchase a monthly credit package based on how much analysis you want to run. Credits are consumed as you generate insights (such as monitoring prompts, tracking competitors, or running analyses). Unused credits can roll over or be banked, and you can add more credits at any time as your needs grow — whether that's more locations, more competitors, or deeper analysis. This is what makes GEO Studio one of the best Generative Engine Optimization tools for small businesses and enterprise brands.
GEO Studio currently tracks visibility across eight major AI models:
- ChatGPT (OpenAI)
- Perplexity
- Google AI (Google AI Overviews)
- AI mode (Google AI mode)
- Gemini (Google)
- Claude (Anthropic)
- Copilot (Microsoft)
- Grok (xAI)
We are continuously adding new models as they emerge and gain market share. The platform is designed to scale as the AI search landscape evolves.
AI engines don't rank blue links; they synthesize facts. To win their recommendations at scale, you must optimize your digital footprint using GEO Studio's unified, execution-driven framework:
- Deploy AI-Ready Website Setup: Automatically build and deploy optimized llms.txt and robots.txt architectures directly to your site's root directory, giving AI scrapers a clean, structured map to index your most valuable data.
- Execute Semantic Structure Scanning: Use automated audits to instantly reformat on-page text into the highly scannable tables, bullet points, and Q&A blocks that LLM algorithms actively seek out and prioritize.
- Leverage Sources Visualization & Tracking: Utilize intuitive Sankey data-flow charts to trace exactly which third-party domains are driving AI mentions for your competitors, allowing you to instantly close critical content gaps.
- Activate AI-Driven Social Listening: Monitor high-authority external sources (like Reddit, YouTube, TikTok, and LinkedIn) that AI models use as “textbooks” to form brand opinions, showing your team exactly which public conversation threads they need to proactively join.