The numbers speak for themselves
What our customers say
See how B2B SaaS teams use GEO Style to win AI recommendations and drive revenue.
“GEO Style showed us exactly where we were losing to competitors in AI recommendations. Within 3 months, we increased our win rate from 25% to 65% by focusing on high-impact opportunities.”
“The ROI calculator helped us justify our AI optimization spend to leadership. We proved 340% ROI in the first year and secured budget for our full AI optimization program.”
“Attribution tracking connected the dots between AI citations and actual conversions. We connected 40% of AI citations to real traffic, proving AI drives qualified leads.”
Customer Testimonials and Trust Metrics
GEO Style is trusted by 100+ B2B SaaS teams who analyze 5M+ AI queries monthly across 50+ categories. Our customers report an average 40% increase in win rate after implementing our recommendations.
Customer Reviews
- Sarah Chen (VP of Marketing): "GEO Style showed us exactly where we were losing to competitors in AI recommendations. Within 3 months, we increased our win rate from 25% to 65% by focusing on high-impact opportunities."
- Michael Rodriguez (Head of Growth): "The ROI calculator helped us justify our AI optimization spend to leadership. We proved 340% ROI in the first year and secured budget for our full AI optimization program."
- Emily Johnson (CMO): "Attribution tracking connected the dots between AI citations and actual conversions. We connected 40% of AI citations to real traffic, proving AI drives qualified leads."
Buyers don't search. They ask AI.
AI doesn't show 10 links. It chooses one answer. If that answer isn't you, you're invisible.
The Problem
- You can't see which buying questions AI answers.
- You can't see which competitors AI recommends.
- You can't tell which decisions cost you revenue.
The Solution
- Real buying promptsHigh-intent questions like "Best tools for X"
- Real AI answersFrom ChatGPT, Claude, Gemini, Perplexity, Copilot
- Real winners and losersSee who AI chooses and why
5 Signals AI Uses to Choose Brands
If these signals are weak or missing, AI defaults to competitors. Learn how to optimize them.
Entity Clarity
How clearly AI systems understand your brand.
Authority Signals
Expertise, citations, and trust evidence.
Answer Readiness
Content that directly answers buyer questions.
Contextual Relevance
Appearing in the right scenarios and conversations.
External Validation
Third-party mentions from trusted sources.
How AI Recommendations Work for Your Brand
Track AI mentions across ChatGPT, Claude, Gemini, Perplexity, and Copilot. Understand why competitors win recommendations. Optimize your content and authority signals to become the brand AI chooses.
Track AI Mentions
Track where and how AI systems mention your brand across ChatGPT, Claude, Gemini, Perplexity, and Copilot.
Understand Why Competitors Win
Understand why competitors are recommended instead of you with citation quality analysis and competitive intelligence.
Optimize for AI Recommendations
Optimize content, entity signals, and authority for AI answers. Get actionable recommendations to improve your GEO maturity level.
Everything you need to win AI recommendations
From decision intelligence to ROI tracking, the complete toolkit for AI visibility optimization.
GEO Style Features
GEO Style provides comprehensive decision intelligence for AI discovery including decision feed tracking, competitive intelligence, sentiment analysis, change detection, E-E-A-T analysis, AI prompt discovery, ROI calculation, and attribution tracking.
- Decision Feed: Command queue of buying decisions you're winning or losing, ranked by impact score. Prioritize high-impact opportunities
- Competitive Intelligence: Head-to-head comparisons showing who AI chooses and why, with win rate analysis. Understand competitive position
- Sentiment Intelligence: Track sentiment trends over time and compare against competitors with real-time analysis. Understand brand perception
- Change Detection: Track decision status changes and competitor movements over time with real-time alerts. Stay ahead of competitive shifts
- E-E-A-T Analysis: Measure Experience, Expertise, Authoritativeness, and Trustworthiness signals. Build AI trust signals
- AI Prompt Discovery: Automatically discover high-value prompts from competitor analysis and user patterns. Find untapped opportunities
- ROI Calculator: Calculate return on investment for AI visibility improvements across multiple time periods. Justify optimization spend
- Attribution Tracking: Connect AI citations to Google Analytics traffic and measure conversion impact. Prove AI drives revenue
How teams use GEO to drive results
See how B2B SaaS companies solve real problems with decision intelligence.
Win High-Intent Buying Decisions
You're losing to competitors in AI recommendations for high-intent buying prompts like "best tools for X" or "alternatives to Y". You don't know which decisions matter most or why competitors are winning.
Use Decision Feed to see all buying decisions ranked by impact, understand why competitors win with "Why We Lost" explanations, and get actionable "Moves to Win" recommendations bound to specific decisions.
- •Decision Feed with impact scoring
- •Why We Lost explanations with citations
- •Moves to Win recommendations
- •Change detection alerts
Increased win rate from 25% to 65% in 3 months by focusing on high-impact opportunities
Measure ROI of AI Visibility
You can't justify AI optimization spend to leadership because you don't have clear ROI metrics. You need to prove that improving AI recommendations drives revenue.
Use ROI Calculator to calculate return on investment across monthly, quarterly, and yearly periods. Combine with Revenue Impact estimation to show potential revenue from winning lost decisions.
- •ROI Calculator with multi-period analysis
- •Revenue Impact estimation per opportunity
- •Confidence-adjusted estimates
- •Payback period calculations
Proved 340% ROI in first year, securing budget for full AI optimization program
Track Attribution from AI to Revenue
You don't know if AI citations actually drive traffic and conversions. You need to connect AI recommendations to real business results.
Connect Google Analytics to track which citations drive actual visits. See time lag between AI recommendations and user actions, and measure correlation scores.
- •Google Analytics integration
- •Citation-to-traffic correlation
- •Time lag analysis
- •Conversion tracking
Connected 40% of AI citations to actual traffic, proving AI drives qualified leads
GEO Style Use Cases
GEO Style helps B2B SaaS companies win high-intent buying decisions, measure ROI of AI visibility, and track attribution from AI recommendations to revenue.
Win High-Intent Buying Decisions
Problem: You're losing to competitors in AI recommendations for high-intent buying prompts like "best tools for X" or "alternatives to Y". You don't know which decisions matter most or why competitors are winning.
Solution: Use Decision Feed to see all buying decisions ranked by impact, understand why competitors win with "Why We Lost" explanations, and get actionable "Moves to Win" recommendations bound to specific decisions.
Result: Increased win rate from 25% to 65% in 3 months by focusing on high-impact opportunities
Features Used: Decision Feed with impact scoring, Why We Lost explanations with citations, Moves to Win recommendations, Change detection alerts
Measure ROI of AI Visibility
Problem: You can't justify AI optimization spend to leadership because you don't have clear ROI metrics. You need to prove that improving AI recommendations drives revenue.
Solution: Use ROI Calculator to calculate return on investment across monthly, quarterly, and yearly periods. Combine with Revenue Impact estimation to show potential revenue from winning lost decisions.
Result: Proved 340% ROI in first year, securing budget for full AI optimization program
Features Used: ROI Calculator with multi-period analysis, Revenue Impact estimation per opportunity, Confidence-adjusted estimates, Payback period calculations
Track Attribution from AI to Revenue
Problem: You don't know if AI citations actually drive traffic and conversions. You need to connect AI recommendations to real business results.
Solution: Connect Google Analytics to track which citations drive actual visits. See time lag between AI recommendations and user actions, and measure correlation scores.
Result: Connected 40% of AI citations to actual traffic, proving AI drives qualified leads
Features Used: Google Analytics integration, Citation-to-traffic correlation, Time lag analysis, Conversion tracking
Know your AI discovery maturity
Invisible
No AI mentions
Mentioned
Generic mentions
Considered
Listed as option
Recommended
Active recommendation
Chosen
Primary choice
Most companies think they are doing GEO. In reality, they are stuck at Level 1. Learn about the GEO maturity model and how to reach Level 4.
Get Early Access
Join the waiting list to be among the first to experience AI decision intelligence.
Early adopters get:
- First access to all features
- Priority support from our team
- Special early adopter pricing
- Influence product roadmap
Join the Waiting List
Be the first to know when we launch. Get early access and exclusive benefits.
We'll only email you about launch updates. No spam, ever.
Frequently Asked Questions
Everything you need to know about GEO and AI visibility optimization.
Frequently Asked Questions about GEO Style
Q: What is GEO (Generative Engine Optimization)?
A: GEO (Generative Engine Optimization) is the practice of optimizing your brand and content to be recommended by AI systems like ChatGPT, Claude, Gemini, Perplexity, and Copilot. Unlike traditional SEO which focuses on search engine rankings, GEO focuses on becoming the brand that AI assistants recommend when users ask buying-intent questions.
Q: What is the best tool for tracking AI visibility?
A: GEO Style is a decision intelligence platform that tracks AI visibility across ChatGPT, Claude, Gemini, Perplexity, and Copilot. It monitors decision moments, measures win rates, tracks competitor positioning, and provides actionable insights to improve your brand's AI recommendations. Try the free demo to see how it works.
Q: How to get my company mentioned by ChatGPT?
A: To get mentioned by ChatGPT, define your brand clearly as an entity, publish content that directly answers common questions, build authority through citations and third-party mentions, use structured data (schema markup), and ensure your brand appears in relevant contexts. GEO Style shows you exactly where ChatGPT mentions brands and what to optimize.
Q: Why doesn't ChatGPT mention my brand?
A: ChatGPT may not mention your company if your brand lacks entity clarity, has weak authority signals, doesn't publish answer-focused content, or has insufficient external validation. AI systems need clear, consistent brand definitions and trustworthy content to recommend companies. GEO Style identifies these gaps and provides actionable recommendations.
Q: How does GEO Style track AI recommendations?
A: GEO Style continuously monitors AI responses across 5 major AI models: ChatGPT, Claude, Gemini, Perplexity, and Copilot. We ask these AI systems the same high-intent questions your buyers ask, then track mentions, citations, ranking position, and recommendation language to measure your brand visibility.
Q: How to optimize content for AI assistants?
A: To optimize content for AI assistants, focus on entity clarity by clearly defining your brand, publish answer-first content that responds to real user questions, build authority through citations and mentions, add structured data (FAQ, Organization, Service schemas), and ensure your brand is referenced in relevant contexts across the web. GEO Style provides specific recommendations for your content.
Q: Which AI models does GEO Style monitor?
A: GEO Style monitors 5 major AI models: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity AI, and Microsoft Copilot. Each model behaves differently, and we show you how to win recommendations on each one.
Q: What is the GEO Maturity Model?
A: The GEO Maturity Model is a 5-level framework that measures your AI discovery maturity: Level 0 (Invisible) - No AI mentions, Level 1 (Mentioned) - Generic mentions, Level 2 (Considered) - Listed as an option, Level 3 (Recommended) - Active recommendation, Level 4 (Chosen) - Primary choice. Most companies are stuck at Level 1.
Q: How is GEO different from traditional SEO?
A: Traditional SEO optimizes for search engine rankings where users see 10 blue links. GEO optimizes for AI recommendations where AI assistants choose 1-3 answers. In GEO, if you are not recommended, you are invisible. GEO Style tracks decision moments, not just mentions, and provides actionable insights to improve your AI visibility.
Q: What companies benefit most from GEO?
A: GEO Style is built for B2B SaaS companies with 10-500 employees in competitive categories. Ideal customers have a content team, ACV of $1k-$50k, and compete in categories where AI recommendations influence buying decisions. We are not a fit for local businesses or commodity e-commerce.
Q: How can my brand appear in AI-generated answers?
A: To appear in AI-generated answers, your brand must be clearly defined as an entity, publish answer-focused content that directly responds to user questions, build authority signals through citations and mentions, and align your content with real user prompts. GEO Style helps you identify and fix these gaps.
Q: How do AI assistants choose which companies to recommend?
A: AI assistants evaluate brands based on entity clarity (how clearly your brand is defined), authority signals (evidence of expertise and trust), answer readiness (whether your content directly answers questions), contextual relevance (appearing in the right scenarios), and external validation (mentions and citations from trusted sources).
Q: Does ChatGPT use my website directly?
A: ChatGPT does not browse your website in real time, but it relies on training data, trusted sources, and structured, widely referenced content. GEO ensures your content is easy for AI systems to understand, trust, and reuse by optimizing entity signals, structured data, and answer-focused content.
Q: Why do AI tools recommend competitors instead of me?
A: AI tools recommend competitors when they have stronger entity clarity, better authority signals, more answer-ready content, greater contextual relevance, or stronger external validation. GEO Style shows you exactly why competitors are chosen and what signals you need to improve to win recommendations.
Q: What is the difference between GEO and SEO?
A: SEO optimizes websites for search engine rankings where users see 10 blue links. GEO optimizes brands for inclusion and recommendation inside AI-generated answers. SEO focuses on keywords and rankings, while GEO focuses on entity clarity, structured content, trust signals, and prompt-based discovery.
Q: Best GEO tools for B2B SaaS?
A: GEO Style is designed specifically for B2B SaaS companies with 10-500 employees in competitive categories. It provides decision intelligence, tracks AI recommendations across 5 major models, measures GEO maturity, calculates ROI, and provides actionable insights.
Q: How does ROI calculation work?
A: GEO Style calculates ROI by comparing your subscription investment against estimated revenue impact from winning lost decisions. We provide ROI calculations for monthly, quarterly, and yearly periods with confidence-adjusted estimates.
Q: Can I track attribution from AI citations?
A: Yes, Enterprise plans include attribution tracking that connects AI citations to Google Analytics traffic. You can see which citations drive actual visits and measure time lag between AI recommendations and user actions.
Q: How does change detection work?
A: Change detection automatically monitors your decision status over time and alerts you when decisions change. It tracks competitor movements, records change history, and sends real-time notifications so you can respond quickly to competitive shifts.
Q: What is brand safety monitoring?
A: Brand safety monitoring detects negative sentiment, misinformation patterns, and exclusion intent mentions in AI responses. It creates alerts with severity levels and sends email notifications for high-priority issues to help protect your brand reputation.
Q: How do you calculate revenue impact?
A: Revenue impact estimation analyzes decision opportunities to calculate potential revenue from winning lost decisions. We provide per-opportunity estimates showing current vs potential monthly revenue, revenue gaps, and confidence scores.
Q: Can I export my data?
A: Yes, Pro and Enterprise plans include data exports. You can export brand data, mentions, citations, and analytics in CSV or JSON formats. Enterprise plans also include advanced reporting and API access.
Q: What AI models do you support?
A: GEO Style monitors 5 major AI models: ChatGPT (OpenAI), Claude (Anthropic), Gemini (Google), Perplexity AI, and Microsoft Copilot. We also support DeepSeek. Each model has different behavior patterns, and we provide model-specific analytics.
About GEO Style
GEO Style is a decision intelligence platform for AI discovery. We help B2B SaaS companies track and improve their visibility in AI recommendations from ChatGPT, Claude, Gemini, Perplexity, and Copilot. Our platform monitors high-intent prompts, measures who AI recommends, and provides actionable insights to improve your brand's AI visibility.
Last updated: March 17, 2026
Methodology: GEO Style continuously monitors 5 major AI models (ChatGPT, Claude, Gemini, Perplexity, Copilot), analyzes 5M+ queries monthly, and uses confidence-adjusted estimates for all revenue and ROI calculations. Data is refreshed daily and validated against real customer outcomes.
The Problem: AI Has Changed Discovery
AI assistants don't show 10 blue links. They choose 1-3 answers. If you're not recommended, you're invisible. Most teams still measure rankings, traffic, and mentions. But AI doesn't rank pages. It makes decisions.
The Insight: Mentions Don't Matter. Decisions Do.
Being mentioned in an AI answer is not the same as being chosen. What actually drives outcomes: appearing in high-intent prompts like "Best tools for ___", "Alternatives to ___", and "Which platform should I use for ___"; being framed as the recommended option; receiving direct citations and links; and winning comparisons against competitors. We built this platform to measure those moments.
Decision Intelligence for AI Discovery
We continuously analyze how AI systems answer the exact questions your buyers ask — and show you where competitors are chosen instead of you. Not dashboards. Not vanity metrics. Clear signals tied to action and impact.
How It Works
- Monitor decision-making prompts: We track high-intent questions like "Best tools for ___", "Alternatives to ___", and "Which platform should I use for ___" across ChatGPT, Gemini, Perplexity, Claude, and Copilot.
- Measure who AI recommends — and why: We analyze recommendation position, citation presence and quality, comparison framing, and competitor share of voice. So you know who wins — not just who appears.
- Act on what actually changes outcomes: We translate insights into missing prompt opportunities, content and citation improvements, and competitive weaknesses you can exploit. Clear next steps. No guesswork.
Current Platform
The product includes: Overview (Snapshot and Executive views), Prompts (run and manage), Prompts Library, Clusters, Sources (citations and domain analytics), Trends (analytics, model analytics, score versions), Decisions (opportunities and history), Actions (moves to win decisions), Competitors (and movements), Insights (Revenue Impact, ROI Calculator, Attribution, Company Safety), Brands, Settings, Notifications.
Key Features
- Decisions (Decision Feed): Command queue of buying decisions ranked by impact score, showing where you're winning or losing
- Change Detection: Automatically track decision status changes and competitor movements over time with real-time alerts
- Revenue Impact: Estimate revenue at risk from lost decisions with confidence-adjusted ranges (Insights)
- ROI Calculator: Return on investment for AI visibility across monthly, quarterly, yearly (Insights)
- Attribution: Connect AI citations to Google Analytics traffic and measure conversion impact (Insights)
- Company Safety (Brand Safety): Monitor mentions for negative sentiment, misinformation, and brand reputation risks
- Competitors: Head-to-head comparisons showing who AI chooses and why, with win rate analysis
- E-E-A-T Analysis: Experience, Expertise, Authoritativeness, and Trustworthiness signals
- Predictive Decisions: Predict decision outcomes based on historical patterns and trend analysis
- Overview: Snapshot (brand-level) and Executive views with key metrics, trends, and competitor insights
- Actions (Moves to Win): Actionable recommendations bound to specific decisions and competitors with effectiveness tracking
- Decision History: Timeline of decision changes with move attempts marked and effectiveness measured
- Monitor AI recommendations across 5 major AI models: ChatGPT, Claude, Gemini, Perplexity, Copilot
- Track competitor visibility in AI responses
- Measure GEO maturity level (0-4: Invisible, Mentioned, Considered, Recommended, Chosen)
- Get actionable moves to improve AI visibility (Actions)
- Sources: Citation quality, authority, and domain analytics
- Trends: Compare performance across AI models and score versions
- Prompts and Prompts Library: Track high-intent prompts, run queries, manage prompt clusters
- Identify missing prompt opportunities
- Measure recommendation position and comparison framing
- Analyze competitor share of voice
Detailed Feature: Decisions (Decision Feed)
Decisions (in the app) is a command queue of buying decisions you're winning or losing, ranked by impact score. It aggregates decision opportunities from prompts and calculates impact scores (0-100) based on brand mention status, prompt intent (evaluative/transactional), model weights, citation presence, and competitor positions. The feed shows status (LOST, WEAK, COMPETITIVE, WON), winning competitor, explanation, and suggested actions.
Detailed Feature: Change Detection
Change Detection automatically monitors your decision status over time and alerts you when decisions change. It compares current vs previous decision status, records changes in DecisionChangeHistory with previous/current status, previous/current competitor, impact score, and timestamp. It publishes real-time updates via GraphQL subscriptions and sends alerts for significant changes.
Detailed Feature: Revenue Impact Estimation
Revenue Impact Estimation provides per-opportunity revenue estimates showing current vs potential monthly revenue, revenue gap, and confidence score. It uses attribution data for conversion rates and provides ranges by impact tier and buying intent. The system calculates total revenue gap across opportunities.
Detailed Feature: ROI Calculator
ROI Calculator combines revenue impact with subscription costs to calculate ROI for monthly, quarterly, and yearly periods. It accounts for confidence levels, generates ROI recommendations, and shows payback period. This helps justify AI optimization spend to leadership.
Detailed Feature: Attribution Tracking
Attribution Tracking integrates with Google Analytics Data API to correlate citations with actual traffic. It tracks referrer URLs and domains, traffic sources, sessions and page views, conversions and revenue, time lag calculation, and correlation scores. This proves AI recommendations drive real business results.
What is GEO (Generative Engine Optimization)?
GEO (Generative Engine Optimization) is the practice of optimizing your brand and content to be recommended by AI systems like ChatGPT, Claude, Gemini, Perplexity, and Copilot. Unlike traditional SEO which focuses on search engine rankings, GEO focuses on becoming the brand that AI assistants recommend when users ask buying-intent questions. AI discovery isn't about rankings anymore. It's about decisions.
From AI Visibility to AI Decisions
Traditional GEO tools track mentions, abstract scores, generic dashboards, and visibility reports. GEO Style tracks decision moments, transparent metrics, prompt-level insight, and revenue-oriented actions. We don't ask, "Are you visible?" We ask, "Are you chosen?"
Who is GEO Style for?
GEO Style is built for B2B SaaS companies with 10-500 employees in competitive categories. Ideal customers include SaaS and developer tools, fintech and AI companies, marketplaces, and B2B platforms with competitive buying journeys. Trusted by modern SaaS, fintech, and AI-native teams.
See How AI Decides in Your Category
Understand which prompts matter, who AI recommends, where you're losing decisions, and what to change to win them. Run a free AI visibility scan. No credit card required.