> For the complete documentation index, see [llms.txt](https://docs.airops.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.airops.com/insights/opportunities.md).

# Opportunities

Find recommended actions based on your AI search intelligence.

Open **Insights → Opportunities** to find recommended actions based on tracked prompts and competitive analysis. Opportunities identifies work across four categories.

{% hint style="info" %}
Use [Campaigns](/campaigns.md) to organize ongoing opportunity generation, action, and measurement around a defined goal.
{% endhint %}

## Opportunity Types

### [Creation](https://github.com/airopshq/airops-docs/tree/main/insights/opportunities/creation.md)

Net-new content opportunities where competitors appear in AI search results but you have no content addressing the topic. These represent content gaps: questions your audience is asking that you're not answering at all.

### [Refresh](https://github.com/airopshq/airops-docs/tree/main/insights/opportunities/refresh.md)

Existing content to update where competitors are outperforming you. These are high-impact, lower-lift opportunities since you already have content addressing the topic. Improve it to close competitive gaps.

### [Outreach](https://github.com/airopshq/airops-docs/tree/main/insights/opportunities/outreach.md)

Frequently cited domains that represent external content and partnership opportunities. Building relationships with influential sites can improve how your brand appears in AI responses.

### [Community](https://github.com/airopshq/airops-docs/tree/main/insights/opportunities/community.md)

Reddit conversations where your brand could authentically engage. LLMs increasingly cite user-generated content because these discussions carry strong authenticity signals, and these conversations happen whether you participate or not.

## Taking Action

Each opportunity type includes bulk selection and Grid export capabilities. Select opportunities, then:

* **Create New Grid**: Generate a Grid pre-populated with your selected opportunities for Playbook runs and follow-up work
* **Add to Existing Grid**: Append opportunities to any existing Grid with column mapping


---

# Agent Instructions
This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com.

## Querying This Documentation
If you need additional information that is not directly available in this page, you can query the documentation by asking a question.

Perform an HTTP GET request on the following URL with the `ask` and `goal` query parameters:

```
GET https://docs.airops.com/insights/opportunities.md?ask=<question>&goal=<user_goal>
```

`ask` is the immediate question: it should be specific, self-contained, and written in natural language.
`goal` is what the user is ultimately trying to achieve, the reason they need the answer. Sharing it helps GitBook give you a better, more relevant answer. A goal is most helpful when it describes the outcome the user wants rather than restating the question. For example, with `ask=how do I create an API token`, a goal like `automate deployments from our CI pipeline` lets GitBook tailor the answer to that use case.

The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.