Make Ask AI Work Smarter for You
In a world full of information, speed matters — but accuracy matters even more. That’s where Ask AI comes in. It’s not just a search bar — it’s your team’s shortcut to finding the right answers, fast.
To get the best out of it, here are a few key features and tips that can really make a difference.
Fine-Tune Your Data Sources
Ask AI lets you control where it searches. You can include or exclude sources like Slack, Notion, Confluence, and more — depending on what’s relevant to your question.
For example, if you know Slack messages usually add noise to your results, just click the Slack icon to exclude them. The result? Cleaner, more focused answers.
How It Affects Confidence Scores
Every answer in Ask AI includes a confidence score — a reflection of how strong the match is between your question and the content. The data source plays a big role in that score.
Sources with more relevant or well-structured data usually lead to higher-confidence answers. So selecting the right mix of sources isn’t just about preference — it improves answer quality.
Control Access with Precision
Ask AI respects user permissions. That means users only see results from sources they actually have access to — no accidental data exposure, no confusion.
This makes it easy to manage information visibility across different teams, departments, or roles.
Ask Clear, Targeted Questions
While keyword searches are supported, Ask AI works best when you ask a complete question — especially if it includes key terms that are likely to appear in the answer.
For example, instead of just typing “plan,” ask “How do I change my subscription plan?” — that small shift can return a much more useful result.
Use Metadata to Boost Accuracy
Ask AI can factor in metadata like document usage, source priority, and last updated time when ranking results. That helps bring newer or more frequently used content to the top — especially useful in fast-moving environments where accuracy depends on context.
Give Feedback — It Actually Matters
Ask AI includes a thumbs up/down feedback tool. Clicking it doesn’t just send a signal — it helps retrain the underlying algorithm to improve future results. Over time, the system becomes more aligned with how your team searches and what they expect to find.
Keyword vs. Question: Know the Difference
Both work — but for different use cases.
• Keywords are great when you want to browse multiple related articles.
• Full questions are better when you’re looking for one clear answer.
Understanding the difference can help you decide how to search more effectively.
Final Thoughts
Ask AI is designed to save time and reduce frustration. But like any smart tool, it works best when you know how to use it well.
By managing your sources, crafting clearer questions, and using built-in tools like feedback and metadata, you can turn Ask AI into a truly powerful part of your workflow.
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