Averas Intent analyzes tickets, chats, and search logs to uncover what customers actually ask and clusters them into high-volume, high-impact intents. It helps teams prioritize self-service content based on real-world demand—not assumptions.
See what customers
are really asking
Averas clusters support tickets and searches into high-volume intents, revealing where demand is strongest and where content is missing.
Drill into intent-level trends
View granular breakdowns by topic, subcategory, volume, and example tickets — so you can prioritize knowledge work with clarity.
Explore real tickets
behind each intent
Click into individual customer tickets to understand context and uncover the content gaps behind repeat contacts.
Map customer issues
to specific articles
Averas links intents directly to related help articles, so you can evaluate whether current content meets the need — or falls short.
See the full picture —
down to the document level
Get visibility into where customer concerns surface within existing content and whether that content delivers a complete, clear answer.
Improve
Averas Improve generates targeted recommendations and AI-assisted content drafts to help teams quickly close gaps in coverage. It streamlines content creation by focusing on what matters most—aligned with customer intents and ready for publishing.
See issue severity at a glance
Understand how content gaps break down across critical, major, and minor severities—so you can triage with confidence.
Pinpoint where
your knowledge needs fixing
Quickly identify the most error-prone documents and the severity of issues to focus your team’s efforts where they matter most.
Prioritize updates by impact
Target the top issues driving user friction with AI-ranked suggestions tied to high-volume or high-risk topics."
Showcase personalized
AI recommendations
for knowledge articles
Display the AI-driven suggestions that our platform offers, right down to the individual knowledge article level.
Measure
Averas Measure automatically tests your knowledge base against real customer intents, scoring each article for accuracy, completeness, and coverage. It enables before-and-after testing, regression backtesting, and transforms content maintenance into a continuous, measurable improvement loop.
Track performance
with precision
Measure how well your knowledge base answers real customer questions— down to individual articles and intents.
Understand what is working —
and what is not
See how many responses are correct, partially correct, or missing entirely, and drill into the details to uncover root causes.
Diagnose weak spots
at the article level
Quickly identify which knowledge articles are falling short and why, using real examples from your customer data.
Want to see how Averas works? Click the demo video to explore
