> For the complete documentation index, see [llms.txt](https://doc.batch.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://doc.batch.com/release-notes/release-notes/march-26-2026-ia-targeting-insights.md).

# March 26, 2026 - IA Targeting Insights

We are introducing an **AI-powered technical expert** designed to **analyze and validate targeting queries**. It helps you ensure your targeting logic is optimized and error-free before launching.\
\
Are returned the following insights:

* **A plain language summary**: a clear, 1-2 sentence description of who is being targeted (e.g., "Targets French-speaking users who engaged with content in the last 60 days").
* **Logical warnings**: identification of critical risks such as "Zero Audience" (mutually exclusive conditions), logical ambiguities, or over-restriction.
* **Structural Suggestions**: tips to improve readability or simplify queries, such as merging repetitive conditions or removing redundancies.


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# 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://doc.batch.com/release-notes/release-notes/march-26-2026-ia-targeting-insights.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.