AI visibility
66%
+8.4 pts
High confidence
AI Visibility & Recommendation Tracking
Know whether AI mentions or recommends your brand.
Track prompts you choose to represent buyer questions across ChatGPT, Claude, Gemini, Perplexity, and Google AI Overviews. Measure mentions, recommendation rate, category-aware sentiment, competitors, surfaced sources, and the answer behind every score.
Your prompt set
Track the questions that decide who gets chosen
Your own prompts are the primary tracking layer. Build the set around real customer decisions, then evolve it whenever the market, product, or campaign changes.
Track the prompts that matter
Choose prompts that represent how buyers compare products, research options, and decide who to trust.
Organize by intent and topic
Group prompts by category, buying stage, product line, or campaign so every result stays useful to the team.
Measure the right market
Keep language and market explicit. Compare how the same decision changes across audiences and regions.
Change the set whenever you need
Add, edit, or retire prompts as priorities change. Search keywords remain visible when an AI platform returns them.
How AI presents your brand
A mention is not a recommendation
friction AI reads each answer in the context of your category. It distinguishes between being absent, being listed, being recommended, and being advised against.
Not mentioned
Invisible
The answer covers the category but leaves your brand out entirely.
Merely listed
Visible
Your brand appears, but the answer gives buyers no reason to choose it.
Actively recommended
Recommended
AI presents your brand as a suitable choice and supports the recommendation.
Advised against
Negative recommendation
AI warns buyers away from your brand, product, or fit for the specific need.
Data accuracy
Scores you can trace back to the answer
A dashboard number is only useful when you know what produced it. Open the prompt, AI platform, market, and original answer behind every result.
01
See the answer behind the score
Open the original AI answer and inspect the brand mentions, competitors, surfaced sources, citations, and available search keywords behind the result.
02
Keep model and market in view
Each analysis keeps the AI platform and market visible so you can interpret the result in the right context.
03
Use category-specific interpretation
Sentiment and recommendation are evaluated against the dimensions that matter for the industry and buying decision.
Custom prompts + Brand Audit
Your prompts can change. Your baseline shouldn't.
Use custom prompts to follow today's priorities. Keep the Brand Audit as a consistent weekly baseline whose curated prompt set and measurement method remain fixed while your working prompt set evolves.
Your custom prompts
The working view of customer intent. Edit questions, tags, markets, and priorities whenever the business changes.
Flexible by design
Your Brand Audit
The curated questions and measurement method remain consistent. Scores can still move as AI platforms and public information change.
Consistent by design
From data to decisions
Answer the questions behind your AI performance
01How often does AI mention our brand?
02How often does it actively recommend us?
03Who gets recommended when we do not?
04How are we portrayed for this category?
05Which sources and citations are surfaced with the answer?
06What changed across models, markets, or time?
Continue with friction AI
Understand why you are visible, then improve it
Visibility is the starting point. Connect it to perception, source influence, and clear actions to build a stronger AI presence.
Understand how AI portrays you
See the strengths, concerns, and category-specific reasons behind each recommendation.
Explore featureReview the sources surfaced with the answer
See which sources and citations each platform returns, which links buyers can open, and where competitor pages appear.
Explore featureTurn gaps into improvements
Audit public brand surfaces and get clear guidance on what your team should improve next.
Explore featureFAQ
How AI recommendation tracking works
What is AI visibility and recommendation tracking?
It measures how your brand appears in answers to prompts you choose to represent customer questions. friction AI separates being mentioned from being actively recommended, then shows sentiment, competitors, position, and the evidence behind each result.
How is recommendation tracking different from visibility?
Visibility tells you whether your brand appears. Recommendation tracking tells you whether the answer actually advises the user to choose your brand. A brand can be highly visible while rarely being recommended.
How are recommendation rate, share of voice, and average position calculated?
Recommendation rate is the share of usable responses that actively recommend your brand. Share of voice is your brand mentions as a share of all detected brand mentions in the selected prompt, platform, market, and time window. Average position is the mean listed rank where the platform provides a usable brand order.
Can we add and edit our own prompts?
Yes. Your custom prompt set is the primary tracking layer. You can update it as products, campaigns, customer questions, and priorities change.
How does sentiment analysis work?
friction AI uses a category-aware sentiment and recommendation model. It evaluates the dimensions that matter for the specific industry and use case instead of applying a generic positive-or-negative label.
What role does the Brand Audit play?
The Brand Audit is a consistent reporting baseline and safety net. Its curated prompt set and measurement method stay fixed while your editable prompt set changes. Results can still move as AI answers, platforms, and public information change.
When will I see results during the free trial?
Your first analysis starts immediately, so you can review visibility, recommendation, sentiment, and the exact answers behind your results during the trial.
See exactly how AI presents your brand
Start with your own prompts, get the first analysis immediately, and open every score to see the answer behind it.