Track How AI Recommends Software in Your Category
When buyers ask ChatGPT "what's the best CRM for small teams" or "top project management tools," does your product show up? friction AI monitors your brand across every AI platform influencing B2B software buying.
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The Problem
AI Is Reshaping How Buyers Discover Software
Buyers ask AI before they ask your sales team
Forrester reports AI-generated traffic in B2B is growing at 40% per month. When a VP of Engineering asks Claude "best observability tools for microservices," they're building a shortlist before your SDR even knows they exist. If you're not in that AI answer, you're not on the shortlist.
G2 rankings don't tell the whole story
You might be #1 on G2 for your category and still be invisible in ChatGPT. AI models weigh different signals than review aggregators. Your G2 ranking is one input, not the output. Without tracking AI specifically, you're assuming correlation that doesn't exist.
Category creation gets lost in translation
If you're building a new category, AI models might not even know it exists. They default to established categories and recommend incumbents. Your category-creation messaging hits your website but never makes it into AI's mental model.
The Platform
See Your Software Through AI's Eyes
friction AI tracks how AI platforms recommend software in your category - category visibility, competitor intelligence, brand health, and experiment tracking.
Software Category Visibility
Monitor whether AI recommends your product when buyers ask about your category. Track changes weekly to see if content investments translate into AI visibility.
Brand Visibility
StatusVisib.Sentim.Share of
VoiceBrandsTypeAI
Provid.
Best project management tools for startups
Top CRM for small teams
Best all-in-one workspace software
Enterprise wiki and documentation tools
AI-powered note taking apps
Best team wiki software for startups
Top productivity tools for remote teams 2026
Cited Sources
| # | Source | URL | Topics | Citation |
|---|---|---|---|---|
| 1 | notion.so | notion.so/product notion.so/templates | Product OverviewTemplate Gallery | 8 |
| 2 | g2.com | g2.com/products/notion/... | Notion Reviews | 5 |
| 3 | capterra.com | capterra.com/software/... | Project Management Comparison | 3 |
| 4 | techcrunch.com | techcrunch.com/notion/... | Product Updates | 2 |
Domain Citation Ranking
How often LLMs cite your domain vs competitors
| Rank | Domain | Cites |
|---|---|---|
| #1 | notion.so(You) | 45 |
| #3 | asana.com | 32 |
| #5 | monday.com | 22 |
| #8 | clickup.com | 15 |
AI Brand Health Audit
Know whether AI correctly identifies your product category, describes your features accurately, and positions you favorably against alternatives.
Brand Audit Analyses
OVERALL REC.
RECOGNITION
VISIBILITY
SENTIMENT
PURCHASE INT.
Performance Trends
LLM Performance
Industry Ranking
Commerce Intelligence
friction AI analyzes buyer-style commerce queries to show which brands AI recommends when customers are ready to purchase.
Commerce Prompts
| Prompt | Recog. Status | Comm. Score | Visib. | Purch. Ready | ACP Sig. | Brands | Market | AI Provid. | ||
|---|---|---|---|---|---|---|---|---|---|---|
| Best productivity software pricing comparison | 78% | 82% | 73% | 7 | US | | ||||
| Project management tool free tier comparison | 72% | 75% | 67% | 7 | US | | ||||
| Best team collaboration software pricing | 68% | 72% | 63% | 6 | US | | ||||
| Enterprise knowledge base tools comparison | 65% | 68% | 60% | 6 | US | | ||||
| Best AI workspace tools for teams | 62% | 65% | 57% | 6 | US | | ||||
| SaaS project management annual vs monthly pricing | 58% | 60% | 53% | 5 | US | |
Sources
Top domains cited for your prompts
| # | Domain | Mentions | Products |
|---|---|---|---|
| 1 | notion.so | 24 | 6 |
| 2 | g2.com | 18 | 12 |
| 3 | capterra.com | 14 | 10 |
| 4 | trustradius.com | 8 | 8 |
Competitive Intelligence
Know exactly which competitors appear alongside you (or instead of you) in AI recommendations. Track their share of voice over time.
AI Score
Category Positioning Experiments
Run structured experiments to measure how content, analyst coverage, and positioning changes affect your AI recommendation share.
Feature Page Messaging Test
RunningExperiment Progress
8 runs until testing
Jan 21, 2026
Metrics
| Metric | Control | Variant | Lift |
|---|---|---|---|
VisibilitySig | 6.80 | 8.20 | +20.6% |
Mention Freq | 7.10 | 8.80 | +23.9% |
Mention Qual | 7.40 | 8.50 | +14.9% |
Share of Voice | 42% | 58% | +38.1% |
Content Analysis
Understand what content drives AI recommendations in your category and where your brand messaging gaps are.
Content Readiness Score
1 pages · 15 issues
Last audit: Feb 19, 2026
Category Breakdown
Key Metrics
The Numbers That Matter for SaaS
Brand Mention Rate
How often your brand appears in AI answers for your software category.
Feature Accuracy
Whether AI correctly describes your product's capabilities and positioning.
Competitive Share of Voice
Your share of AI recommendations vs. top competitors.
AI Brand Health Score
Composite score of recognition, sentiment, and purchase intent.
Real-World Use Cases
How SaaS Companies Use friction AI
Pipeline attribution gap
A marketing automation SaaS notices pipeline from "direct" traffic is growing, but can't explain why. Using friction AI, they discover ChatGPT has been consistently recommending their product for "best email automation for small businesses." The "direct" traffic is actually AI-assisted discovery.
Category creation tracking
A startup creating a new category ("AI-native data warehouse") uses friction AI to track whether AI models recognize the category. After three months of content investment, they see Claude and Perplexity now mention the category by name and include their product, while ChatGPT still defaults to "cloud data warehouse" and recommends Snowflake.
Analyst report impact
A B2B SaaS company invests $50K in a Gartner analyst briefing. Using friction AI, they track the before and after: within 6 weeks, their mention rate in AI recommendations jumps 35% as models incorporate the analyst coverage into their responses.
Why friction AI
Beyond Traditional Brand Tracking
| G2 / Brand Tracking Tools | friction AI |
|---|---|
| Track G2 category rankings | Track AI recommendation rankings across 5+ platforms |
| Monitor review sentiment on review sites | Monitor how AI describes and positions your product |
| Show competitor feature comparisons | Show which competitors AI recommends instead of you |
| Track brand mentions in press and social | Track brand mentions inside AI-generated answers |
From the Blog
Related Resources
Guide
AI Brand Monitoring: How to Track What AI Says About Your Brand
How to monitor what ChatGPT, Perplexity, and Gemini say about your brand. Covers tracking methods, key metrics, and building a monitoring practice.
Insights
How to Rank in ChatGPT: Get Your Brand Recommended (2026)
Learn how to get your brand mentioned and recommended in ChatGPT responses. A practical guide to ranking in AI-generated answers.
Insights
How to Measure AI Visibility: Key Metrics and KPIs (2026)
How to measure AI visibility across ChatGPT, Perplexity, Gemini, and AI Overviews. The four metrics that matter and what to do with the data.
Frequently Asked Questions
Everything you need to know about winning AI recommendations and how friction AI can help your brand succeed.
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