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

# Article Title Suggestion

> Generate an AEO-optimized article title from your topic, audience, and content goals

The **Article Title Suggestion** node generates an AEO-optimized, high-quality article title based on your topic, audience, and content goals. Unlike a simple LLM prompt, this node applies a structured, multi-step workflow to evaluate your inputs, apply editorial and SEO best practices, and output a single, strong title crafted for visibility, trustworthiness, and user intent match.

Add this node to your [Agents ](/agents/about)when you need reliable, polished titles that set up your content for success—whether for editorial planning, SEO, or Answer Engine Optimization.

<Tip>Check out [Getting started with Agents](/agents/getting-started) to learn how to add this node to an Agent.</Tip>

## When to use this node

Use Article Title Suggestion for tasks such as:

* Quickly generating compelling, search-aligned titles before content production
* Developing titles that are optimized for AI answer engines and user prompts
* Testing variations of messaging for different audiences or company contexts
* Feeding optimized titles into downstream steps (e.g., content briefs or full articles)

This node is designed to be used early in a content strategy or creation workflow.

## Node configuration

Selecting the Article Title Suggestion node opens its configuration panel on the right side of the Agent builder.

### Topic (required)

Provide the subject or theme the article should cover, such as:

* “Emerging trends in healthcare technology”
* “How to optimize your Shopify store for conversion”
* “AI visibility strategy for enterprise brands”

This is the primary driver of the generated title.

### Content Type

Select the type of content the title should be optimized for, such as **General** (default), **Listcle, Blog Post,** and more.

The node adjusts tone, structure, and style based on this setting.

### Company Name

If provided, the title will account for brand context when relevant. This is useful when creating articles for a specific company blog or brand voice.

### Audience Segment

Specify the target audience for the content—e.g., “B2B marketing leaders,” “healthcare professionals,” or “startup founders.”

The node uses this to improve alignment, terminology, and specificity.

### Target Prompt

Enter the user prompt (as used in AI search or on-platform interaction) that your content should optimize for. This helps ensure that the title is directly tied to the way users pose questions or seek information, for example:

* “What is AI visibility and why does it matter for enterprises?”

### Output Label (required)

Assign a label for the generated title. This label becomes available to downstream steps, such as:

* [Create Content Brief](/agents/nodes/content-creation/create-content-brief)
* [Generate Article](/agents/nodes/content-creation/generate-article)
* [AEO Content Scorecard](/agents/nodes/content-optimization/aeo-content-scorecard)
* Custom Prompt LLM steps

## How the node works behind the scenes

Article Title Suggestion runs a multi-step workflow that evaluates your inputs and produces one optimized title. While this process is abstracted into a single step, the internal logic includes:

1. **Input evaluation**
   * The node checks whether inputs like company name, audience segment, or target prompts are provided.
   * It adjusts title generation logic accordingly (e.g., more generic if fields are blank).
2. **Context and metadata preparation**
   * Current-year or temporal context may be added when relevant for accuracy or search alignment.
   * Input variables are transformed or normalized for consistent title generation.
3. **Title generation logic**
   * A structured set of editorial, SEO, and AEO rules is applied, such as:
     * Ensuring clarity and authority
     * Avoiding exaggerated or misleading phrasing
     * Matching user intent and search demand
     * Maintaining strong keyword alignment
     * Producing titles appropriate for your audience segment
4. **Optimized variant selection**
   * If multiple internal candidates are produced, the agent selects the strongest one based on clarity, engagement potential, and AEO alignment.
   * Only **one title** is returned to maintain consistency and support downstream workflows.

This workflow ensures titles are more consistent and high-quality than ad-hoc LLM prompt outputs.

## Output

The output is a **single AEO-optimized article title**, suitable for

* Direct use in content production
* Passing into a brief or article generation workflow
* Use in editorial calendars
* SEO or topic clustering workflows

## Example usage

### 1. Create an optimized title before generating a content brief

1. Add the **Article Title Suggestion** agent.
2. Provide topic, target prompt, and optional audience and company name.
3. Set an output label (e.g., `title`).
4. Pass `title` into the [Create Content Brief](/agents/nodes/content-creation/create-content-brief) node.

### 2. Build a content pipeline

1. Article Title Suggestion → [Create Content Brief](/agents/nodes/content-creation/create-content-brief) → [Generate Article](/agents/nodes/content-creation/generate-article)
2. Add [AEO Content Scorecard](/agents/nodes/content-optimization/aeo-content-scorecard) afterward to evaluate the final article.

### 3. Generate multiple titles for testing

Duplicate the node with changes to Topic, Audience Segment, or Target Prompt to compare results.

## Best practices

* Include a **Target Prompt** when writing for AI-driven search; this increases intent alignment.
* Use **Audience Segment** for B2B or specialized verticals to ensure relevancy.
* Keep the **Topic** specific enough to guide the agent but broad enough to allow creative generation.
* Downstream steps should reference the output label directly (e.g., for content brief creation).