> ## Documentation Index
> Fetch the complete documentation index at: https://docs.atomicagi.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Opportunities groups

> Group opportunities by theme so teams can prioritize the right workstream first

<Frame>
  <img src="https://mintcdn.com/atomicai/66wBloPCX-icbC_a/images/data/opportunities/app-opportunities-groups-overview.png?fit=max&auto=format&n=66wBloPCX-icbC_a&q=85&s=1f689790d21dc8aafbde106a1787b9a2" alt="Opportunity groups overview with summary cards and grouped issue tables" width="1536" height="1024" data-path="images/data/opportunities/app-opportunities-groups-overview.png" />
</Frame>

Use this page to decide which issue themes your team should fix first, then drill into one group and launch AI help.

<div className="atomic-info-callout">
  <p>
    <strong>Important:</strong> A high Action items count does not always mean
    highest priority. Use Impact and business relevance first.
  </p>
</div>

## Questions this page should answer

1. Which opportunity groups create the biggest upside right now?
2. Which group should we open first for detailed URL-level work?
3. When should we use `Fix with AI` to speed up execution?

## Before you analyze

* Keep the same project and date context you use in other Opportunities pages.
* Start with `All impact levels`, then narrow once priorities are clear.
* Pick one high-impact group first before assigning tasks.

## What this page gives you

* Top workflow cards: `All items`, `Unresolved`, `In review`, `Resolved`.
* Grouped issue tables (for example `Content visibility` and `Technical`).
* For each group: `Issue`, `Effort`, `Impact`, `Action items`, and `Last checked`.
* One-click drill-down into affected URLs and fix guidance.

## How to read the top cards

* `All items`: full grouped opportunity count in current scope.
* `Unresolved`: items still needing execution.
* `In review`: items currently being validated.
* `Resolved`: items marked complete.

Use these cards to track workflow state, then prioritize inside the grouped issue tables.

## How these metrics are calculated (simple)

### Impact

Impact is the estimated SEO/business upside if that issue group is resolved.

### Effort

Effort is the relative implementation complexity and time needed to resolve the group.

### Action items

Action items are the count of affected URL-level issues inside that group.

## Step 1: Start from the opportunity groups overview

In the overview, focus on high-impact groups with meaningful `Action items` counts. This gives you the best first target to open.

* `High impact` + lower effort usually means faster wins.
* Larger `Action items` counts usually indicate a broader issue pattern.
* `Last checked` helps you avoid acting on stale groups first.

## Step 2: Open one group to see affected pages and issue details

When you click a group row, a modal opens with URL-level items, issue descriptions, and fix guidance.

<Frame>
  <img src="https://mintcdn.com/atomicai/66wBloPCX-icbC_a/images/data/opportunities/app-opportunities-groups-modal.png?fit=max&auto=format&n=66wBloPCX-icbC_a&q=85&s=71e11f6cfc22559748a79fa3caab64e3" alt="Opportunity group modal listing affected URLs with issue details and Fix with AI actions" width="1536" height="1024" data-path="images/data/opportunities/app-opportunities-groups-modal.png" />
</Frame>

Use this modal to:

* Confirm exactly which URLs are affected.
* Read the issue explanation and `How to fix` guidance.
* Decide whether to handle manually or trigger AI assistance.

## Step 3: Click `Fix with AI` for execution-ready help

Inside the modal, each row has a `Fix with AI` action. Clicking it opens AI help with the selected issue context so your team can move from diagnosis to draft fixes faster.

<Frame>
  <img src="https://mintcdn.com/atomicai/66wBloPCX-icbC_a/images/data/opportunities/opportunities-fix-with-ai.png?fit=max&auto=format&n=66wBloPCX-icbC_a&q=85&s=5a8b6328aadcbddf6a13466eac71cb9d" alt="Fix with AI flow open from opportunities context with assistant panel" width="1508" height="859" data-path="images/data/opportunities/opportunities-fix-with-ai.png" />
</Frame>

Use `Fix with AI` when:

* The issue is clear but writing the fix takes time.
* You want a first draft for titles, descriptions, or content updates.
* You need consistent fix suggestions across many similar rows.

## Quick weekly checklist

1. Review groups by impact and effort.
2. Open the top 2 to 3 groups with the highest upside.
3. Validate URLs in the modal and assign owners.
4. Track unresolved-to-resolved movement.
5. Use `Fix with AI` for repetitive fixes to increase throughput.

## How to use filters

* `Impact = High`
  Build a focused queue of groups most likely to move outcomes.
* `All impact levels`
  Use this during planning, then narrow once you pick owners.

Use broad filters for planning, then narrow filters for execution handoff.

## What to fix first

| Pattern in groups table                         | What it usually means                 | Recommended action                                  |
| ----------------------------------------------- | ------------------------------------- | --------------------------------------------------- |
| High impact + low effort group                  | Fast win with meaningful upside       | Execute immediately                                 |
| High action item count in one technical group   | One root issue is affecting many URLs | Treat as a core technical task this sprint          |
| Repeated content visibility issue across groups | Topic or template strategy is weak    | Run one coordinated content update plan             |
| High effort + medium impact                     | Useful but not urgent                 | Schedule after high-impact wins                     |
| Old last-checked date on high-impact group      | Priority may be stale or unvalidated  | Re-check data before assigning large execution work |

## Team routine

1. Weekly: choose priority groups and assign owners.
2. Bi-weekly: review group-level progress and reopen blocked items.
3. Monthly: compare technical vs content workstream impact.
4. Quarterly: remove recurring issue themes with systemic fixes.

## Keep in mind

* Group counts help prioritize, but the modal confirms exact URL-level work.
* `Fix with AI` accelerates drafting, but your team should still review before publishing.
* Always align group prioritization with business-impact pages.

## Where to go next

* [Opportunities](/data/opportunities/overview): prioritize URL-level execution
* [Technical SEO audit](/data/technical/seo-audit): investigate technical root causes in depth
* [Google Search keywords](/data/google-search/keywords): turn keyword-level gaps into updates
