Trust and safety
How credible, reliable, and low-risk the brand appears for the decision being made.
AI Sentiment Analysis
Go beyond positive, neutral, and negative. Measure category-specific sentiment, recommendation status, reservations, and the exact AI response behind every score.
What shapes the score
friction AI looks at the factors that shape trust and choice, then gives more importance to the ones that matter for your category and customer question.
How credible, reliable, and low-risk the brand appears for the decision being made.
How well the product is portrayed as solving the specific need in the prompt.
What the answer implies about usability, service, support, and the ownership experience.
How AI frames the brand’s standing, credibility, and perception relative to alternatives.
Category-aware by design
Buyers judge sunscreen, enterprise software, and hotels differently. The analysis should too. friction AI interprets sentiment against the risks, expectations, and proof that matter for the category.
Beauty and personal care
Ingredient concerns, sensitivity, product claims, finish, and everyday experience shape the interpretation.
B2B software
Security, reliability, workflow fit, onboarding, support, and vendor trust become central.
Travel and hospitality
Service consistency, traveler fit, booking flexibility, location, and reputation carry different weight.
Sentiment and recommendation context
Tone alone can be misleading. An answer may portray your brand positively without recommending it, or mention a drawback while still choosing it. friction AI keeps portrayal, recommendation status, and visibility distinct but connected.
The category is discussed, but your brand is absent from the answer.
Your brand appears without a meaningful reason for the buyer to choose it.
The answer presents your brand as a suitable choice and supports that recommendation.
AI identifies a warning, limitation, or mismatch that may push the buyer elsewhere.
The answer behind the score
Track the questions your buyers ask, compare the models they use, and open the response behind every result.
Analyze sentiment around the decisions, objections, products, and audiences that matter to you.
See how the same brand and question are interpreted by ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews.
Separate results by market and language so different audiences do not get blended into one conclusion.
Read the original answer and see the recommendations, concerns, competitors, and category factors behind every score.
Custom prompts + Brand Audit
Your custom prompts track current products, objections, campaigns, and audiences. The Brand Audit keeps the weekly prompt set and measurement method consistent, while the results remain free to reflect real changes in AI answers.
Flexible, specific, and editable whenever the business changes.
The same curated questions and method each week, with results that can still change.
From score to explanation
Continue with friction AI
See how often you appear, how you compare with a priority competitor, and which public brand signals need attention.
See how often AI includes your brand, how often it recommends you, and what it tells buyers to do.
Explore featurePut your brand beside one priority competitor and see where perception and AI purchase consideration differ.
Explore featureFind weak brand surfaces and content gaps that may be contributing to negative or uncertain answers.
Explore featureFAQ
AI sentiment analysis shows how a brand is portrayed inside generated answers. friction AI looks at the language, recommendations, concerns, and category fit instead of assigning a generic positive or negative label.
Generic sentiment tools usually classify text as positive, neutral, or negative. friction AI judges the answer in the context of your industry, category, question, market, and buying decision, then shows what shaped the score.
They are separate measures shown together. Sentiment describes how the brand is portrayed when it appears. Recommendation status shows whether it is merely listed, actively recommended, or advised against, while Not mentioned is a visibility outcome.
Yes. Your custom prompt set is the primary tracking layer. Add and edit questions around products, audiences, objections, markets, and campaigns whenever your priorities change.
Yes. Open the prompt details to read the original answer and see the recommendation, concerns, competitors, sources, and category factors behind the score.
The Brand Audit keeps a consistent weekly prompt set and measurement method while your custom prompts change. Sentiment results can still move as AI answers, platforms, and public information change.
Start with your own prompts and immediately see how AI portrays, recommends, and explains your brand.