---
title: "How to find help center gaps with AI"
description: "Each week, AI pulls recent ticket topics, chat questions and help center searches that found no good result, groups them by question and ranks them by how often they come up. For the top gaps it drafts a new article or an update using approved product information. A support lead edits, approves and publishes every article, policy, billing and legal wording is checked by the right owner, and the team tracks whether those questions drop afterwards."
url: https://lidvizion.ai/answers/how-to-find-help-center-gaps-with-ai/
site: Lid Vizion
index: https://lidvizion.ai/llms.txt
---

[Direct answers](https://lidvizion.ai/answers/)

# How can a support team use AI to find the questions its help center does not answer well and fix them first?

Each week, AI pulls recent ticket topics, chat questions and help center searches that found no good result, groups them by question and ranks them by how often they come up. For the top gaps it drafts a new article or an update using approved product information. A support lead edits, approves and publishes every article, policy, billing and legal wording is checked by the right owner, and the team tracks whether those questions drop afterwards.

## What this means in practice

- Pull recent tickets, chat questions and failed help center searches.
- Group them by question and rank by how often they come up.
- Draft new or updated articles from approved product information.
- Have a support lead approve every article before it is published.
- Track whether the questions drop after publishing.

## How Lid Vizion approaches it

We start with the business decision and operating context, define ownership and measurable milestones, then use configuration, integrations, automation, or custom software only where each earns its place.

## See it as a workflow

- [Help center gap finder](https://lidvizion.ai/use-cases/help-center-gap-finder/): Find the questions customers keep asking that your help center does not answer well, and draft new or updated articles for the support team to review and publish.

## More on Automation & custom AI

- [How can a subscription or services business use AI to notice customers who may be about to leave while there is still time to help?](https://lidvizion.ai/answers/how-to-spot-at-risk-customers-with-ai/)
- [How can a brokerage or property manager use AI to draft listing descriptions that match the property record and follow advertising rules?](https://lidvizion.ai/answers/how-to-write-property-listings-with-ai/)
- [How can a growing company make sure every account, license and device is handled when someone leaves?](https://lidvizion.ai/answers/how-to-automate-employee-offboarding/)

[Compare services](https://lidvizion.ai/services/) · [Use a planning tool](https://lidvizion.ai/tools/) · [Explore workflow use cases](https://lidvizion.ai/use-cases/) · [More direct answers](https://lidvizion.ai/answers/)

Talk it through

## Have a version of this question inside your company?

Bring the decision, the constraints, and what a good outcome looks like.

[Talk through the decision](https://lidvizion.ai/contact/?need=ai-workflow&from=%2Fanswers%2Fhow-to-find-help-center-gaps-with-ai%2F#write) · [Book a call](https://calendar.app.google/bB26LdA9e2gmGFp69)