2 actionsAverage
AI bot access
Crawler access and robots.txt
VisibilityOwn site
AI Optimization Actions
Turn AI visibility gaps into actions.
Find problems across your website, brand profiles, other channels, and third-party coverage. See why each issue matters, what to improve, and whether the fix is live when you rerun the check.
Where your team can improve
Move from knowing there is a problem to knowing what to do
Visibility tracking shows where your brand is weak. Actions check the public places your team can influence and show where a practical improvement is available.
01Direct control
Owned presence
Find gaps in the public brand information your team controls and can improve directly.
02Brand clarity
Identity
See where AI lacks enough clarity to recognize the right brand, offering, or category.
03Wider footprint
Supporting signals
Identify where your broader public presence needs stronger and more consistent signals.
04Independent proof
Third-party authority
See where independent coverage is helping competitors more than it helps your brand.
One working loop
Move from diagnosis to a result you can check
Each card keeps the grade, evidence, action, and next audit together, so an issue can move from discovery to verification without losing its context.
Audit the surface
friction AI checks the public signals most relevant to how your brand appears in AI answers.
See what needs work
Cards are graded Poor, Average, Good, Excellent, or Not audited, with the most urgent open issues surfaced first.
Open the evidence
Open the finding, supporting evidence, and recommended next step instead of working from a summary score.
Fix and rerun
Make the change in the system you control, then refresh the individual audit or rerun all cards to measure the new state.
Evidence inside every card
See exactly why an action needs attention
Open a card to see why it received its grade and what the finding means for the brand surface being audited.
01
The current grade and number of open actions
02
The evidence or checks responsible for that grade
03
Affected pages, channels, sources, or content gaps
04
A specific action guide for the finding
05
The audit date and a control to rerun the check
Continue with friction AI
Check the evidence, improve the right place, then test the impact
Verify the answer behind the gap, find the sources and surfaces that may influence it, and use an experiment when you need stronger proof.
Verify the gap before acting
Open the original AI answer, customer question, platform, competitors, and sources behind each result.
Explore featureReview surfaced sources and citations
See whether each platform returns your website, competitor pages, reviews, publications, or community content.
Explore featureTest whether a lift repeats
Compare two prompt groups on one AI model and see whether the visibility difference repeats across scheduled runs.
Explore featureFAQ
How AI Optimization Actions work
What are AI Optimization Actions?
AI Optimization Actions audit public websites, profiles, channels, third-party pages, and supported access settings associated with how brand information can be discovered and represented. Each card shows the current status, why it received that status, and what your team can do next.
Does friction AI make the changes automatically?
No. friction AI diagnoses the issue and shows the evidence and action guidance. Your team or agency implements the change in the relevant website, profile, publisher, or third-party channel, then reruns the audit to check the result.
Which surfaces are audited?
Actions cover owned, identity, supporting, and third-party brand surfaces, plus supported technical access checks. These findings identify issues your team can address; they do not prove that any single fix will change an AI answer.
Which crawler types matter for AI search?
Search and indexing crawlers such as OAI-SearchBot, Claude-SearchBot, PerplexityBot, and Googlebot are distinct from model-development crawlers such as GPTBot and ClaudeBot, and from user-requested retrieval agents. friction AI keeps those purposes separate. An llms.txt file is optional and is not presented as a requirement for AI search visibility.
How are Actions connected to the rest of friction AI?
Actions become available after your initial brand and prompt analysis. They check the public places that may influence AI, while prompt tracking and the Brand Audit continue to show how your brand performs in AI answers.
Does a better audit grade prove that AI visibility improved?
No. A rerun confirms that the audited website, profile, or content issue changed. Prompt tracking shows whether AI visibility moved, and Prompt Experiments can test whether an observed lift repeats.
Can I rerun an audit after making a change?
Yes. You can refresh an individual card or rerun all supported card audits. The updated evidence and grade show whether the audited surface changed.
Turn the next visibility gap into a concrete action
Audit the surfaces behind AI answers, inspect the evidence, make the fix, and rerun the check.