GeoRankers
Track and optimize your AI search visibility.
Understand Your Brand's Visibility in the AI Search Era
Search is changing.
Customers are no longer only searching Google. They are asking AI assistants for recommendations, comparisons, and buying advice.
For businesses, this creates a new challenge:
Are AI systems recommending your brand or your competitors?
GeoRankers helps answer that question.
The platform analyzes how leading AI models respond to relevant queries, giving businesses visibility into:
- How frequently their brand appears
- Which competitors dominate AI recommendations
- Which sources influence AI responses
- How their positioning changes over time
- What opportunities exist to improve visibility
GeoRankers helps marketing teams move from guessing how AI perceives their brand to making informed decisions based on measurable data.
Features
AI Visibility Tracking
Monitor how your brand appears across AI-generated answers and understand your presence within emerging search experiences.
Competitor Intelligence
Compare your visibility against competitors across important buyer queries and identify where competitors are gaining recommendation share.
Prompt Tracking
Track the questions and prompts that matter to your customers and understand how AI platforms answer them.
Citation & Source Analysis
Identify which websites, content pieces, and sources influence AI-generated recommendations.
AI Search Performance Monitoring
Track changes in AI visibility over time and measure whether optimization efforts are improving outcomes.
Brand Position Analysis
Understand how AI platforms describe your company, products, and positioning.
Actionable Insights
Move beyond reporting with insights that help teams identify opportunities to strengthen AI visibility.
Use Cases
AI Search Monitoring
Understand how your brand appears when customers ask AI platforms relevant questions.
Competitive Benchmarking
See which competitors are winning AI recommendations and why.
GEO Strategy Development
Identify opportunities to improve visibility across generative search engines.
Content Strategy
Discover what sources influence AI responses and where content opportunities exist.
Brand Tracking
Monitor how AI systems describe your company over time.
Comments
Prompt tracking is the feature I'd want to dig into first — the prompts that matter to customers are the real battleground, and most teams just guess at them. Question: do you support tracking the same prompt across multiple AI models side by side? Also curious about sample size — how many runs per prompt before you report a visibility number, given how much answers can vary run to run?
Timely product. I've been measuring this by hand for a small site, and the biggest surprise was how much the engines disagree: Bing Copilot cited our pages a couple of hundred times over a few weeks, while ChatGPT and Google's AI answers barely cited us at all. A single blended "AI visibility" score would have hidden that completely. Do you break results down per engine and per country? And do you separate a brand mention from an actual citation with a link? For us those behave very differently.
The citation & source analysis is the part i'd actually use - seeing which sources push an AI recommendation is way more actionable than just a visibility score. how often do you re-sample? same prompt gives different answers day to day, so i'm curious how you tell a real ranking change from model noise.
The citation & source analysis is the part I'd find most useful: knowing which pages an AI answer actually leans on tells you where to put effort. Which assistants do you query (ChatGPT, Perplexity, Gemini, Claude?), and do you run each prompt several times, since answers can vary between runs? Is there a lighter plan for a small web tool that only needs to track a handful of prompts?
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Comments
Prompt tracking is the feature I'd want to dig into first — the prompts that matter to customers are the real battleground, and most teams just guess at them. Question: do you support tracking the same prompt across multiple AI models side by side? Also curious about sample size — how many runs per prompt before you report a visibility number, given how much answers can vary run to run?
Timely product. I've been measuring this by hand for a small site, and the biggest surprise was how much the engines disagree: Bing Copilot cited our pages a couple of hundred times over a few weeks, while ChatGPT and Google's AI answers barely cited us at all. A single blended "AI visibility" score would have hidden that completely. Do you break results down per engine and per country? And do you separate a brand mention from an actual citation with a link? For us those behave very differently.
The citation & source analysis is the part i'd actually use - seeing which sources push an AI recommendation is way more actionable than just a visibility score. how often do you re-sample? same prompt gives different answers day to day, so i'm curious how you tell a real ranking change from model noise.
The citation & source analysis is the part I'd find most useful: knowing which pages an AI answer actually leans on tells you where to put effort. Which assistants do you query (ChatGPT, Perplexity, Gemini, Claude?), and do you run each prompt several times, since answers can vary between runs? Is there a lighter plan for a small web tool that only needs to track a handful of prompts?
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