Content agent
Turn visibility insights and tracked prompts into AI-structured blog drafts that answer intent directly and are ready for your team to refine.
What Content Agent is
Content Agent (the Write Content tool) turns your visibility insights and tracked prompts into structured blog drafts designed to answer real demand, not generic keywords. In the app
Instead of starting from a blank page or a generic AI prompt, you start from the prompts, gaps, and recommendations you already track. The draft that comes back is:
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Anchored in the language and intent your audience actually uses.
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Structured so AI systems and readers can quickly find and cite specific answers.
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Ready for you to edit with your own brand voice, examples, and calls to action.
How Content Agent is different from generic AI writers
Most AI writers start from a single keyword or loose prompt and pull from broad web training data, which tends to produce content that looks similar to everything else in your space.
Content Agent starts from:
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Tracked prompts you already monitor in metrics like Visibility and Share of Voice.
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Observed gaps where your brand underperforms, competitors are gaining, or you are under-cited.
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Create content recommendations that highlight topics worth covering based on your domain and sources. For more on how recommendations work overall, see Recommendations Overview.
This makes each draft:
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Tied to a measurable opportunity, not an abstract idea.
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Easier to connect back to your dashboards when you measure impact later.
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Better aligned with how your audience phrases questions and compares options.
Inputs: what you tell Content Agent
When you open Write Content, you see a small set of fields. These inputs determine how targeted and differentiated your draft will be.
Topic: prompt vs custom idea
The topic is the main subject for the article.
You have two options:
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Select a tracked prompt — Best for aligning directly with your visibility metrics. The draft will typically follow the same intent you already monitor.
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Type a custom topic — Useful when reacting to a new trend, campaign, or recommendation that you have not turned into a prompt yet.
Aim for a clear, search-like phrase (for example, “measurement for generative engine optimization” rather than a vague “content strategy”).
Related links and additional sources (URLs)
Use related links to point Content Agent at specific pages it should learn from, such as:
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Your documentation, product pages, and case studies.
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Relevant blog posts or thought leadership pieces you already published.
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High-quality third-party coverage that reflects how the market talks about the topic.
Content Agent uses these URLs as source material so the draft includes concrete details and your preferred framing.
Include pages that show your unique workflows, proof points, or terminology so the draft reflects ideas only your team can credibly claim.
Target keywords
The keywords field lets you add up to five supporting phrases you want the article to touch, beyond the main topic.
Use it to:
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Capture long-tail variations and adjacent questions your audience asks.
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Make sure the draft references specific terms you care about.
Additional context and instructions
The additional context field is where you steer the draft toward your actual use case.
You might include:
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Audience — “GEO leads at enterprise software companies.”
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Positioning — “Frame GEO as a measurement discipline, not a ranking guarantee.”
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Must-include details — Key product capabilities, workflows, or examples that are not fully captured in your public pages.
The more specific you are here, the more the draft feels like it came from your team, not a generic writer.
Editing drafts before publishing
Content Agent gets you from “no article” to “structured draft” quickly, but the draft still needs your team’s fingerprints.
Focus your edits on:
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Proprietary specifics — Insert concrete workflows, screenshots, customer stories, and results that only you can share.
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Brand voice — Adjust tone, phrasing, and transitions so the article reads like something your team would actually publish.
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Freshness — Update any time-sensitive references, include current data points, and align with your latest messaging.
What to do next
Use related features to strengthen each part of this workflow.
Related pages
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