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Documentation Index

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Content Studio generates written content that is structured and phrased in ways that AI search platforms are more likely to cite and recommend. Rather than producing generic articles, it runs a multi-stage pipeline — analyzing SEO signals, pulling competitor insights, classifying search intent, creating the draft, and evaluating quality — before delivering a finished piece. You get a blog post or social content that is ready to publish and optimized to improve your AI Visibility Score.
Short blog posts cost 10 credits. Long-form blog posts and full articles cost 30 credits. Social content generation costs vary by format — check the credit cost shown in the interface before generating.

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How the pipeline works

Content Studio runs five stages automatically when you submit a content request:
1

SEO analysis

CogNerd analyzes the topic you specify, identifying the keywords, questions, and phrasing patterns that AI platforms currently surface for queries in that space.
2

Competitor insights

The pipeline pulls data on how competitors’ content ranks in AI-generated responses, highlighting the angles and structures that correlate with strong AI visibility for the topic.
3

Intent classification

CogNerd classifies the search intent behind your topic — informational, commercial, navigational, or transactional — and adjusts the content structure accordingly.
4

Content creation

The draft is generated with headings, paragraph structure, and phrasing optimized for AI citation patterns. Long-form pieces include an introduction, multiple structured sections, and a conclusion with a clear call to action.
5

Quality evaluation

The finished draft is evaluated using RAGAS (Retrieval-Augmented Generation Assessment) metrics — checking faithfulness, answer relevance, and context precision — before delivery. Pieces that don’t meet the quality threshold are revised automatically.

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Generate a blog post

1

Open Content Studio

Navigate to Dashboard → Content Studio.
2

Choose content type

Select one of the available content types: Short blog post, Long blog post / article, or Social content. The credit cost is shown next to each option.
3

Enter your topic

Type the topic, keyword, or question you want the content to address. Be specific — “best practices for B2B SaaS onboarding” will produce a more targeted piece than “SaaS.”
4

Review optional settings

Set your preferred tone (professional, conversational, authoritative), target audience, and any specific talking points or brand claims to include. These are optional but improve output quality.
5

Generate

Click Generate. The pipeline runs automatically. Short posts typically take 30–60 seconds; long-form articles take 90–180 seconds.
6

Review and export

Read the generated draft in the Content Studio editor. Make any edits directly in the interface, then copy or export the content for use on your site or social channels.
Use topics directly from your Brand Monitor analysis — specifically, the prompts where competitors appear and you don’t. Creating content that answers those exact prompts gives AI models a source to cite when your brand is the right answer.

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Content types

Short blog posts (10 credits) are 400–700 words. They are structured for a single focused keyword or question. Use them for:
  • FAQ-style pages that answer common questions in your category
  • Topical coverage of a narrow subject AI models frequently surface
  • Supporting content that links to longer cornerstone articles
Short posts load faster and index more quickly, making them useful for rapid coverage of many topics.

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Get the latest blog

The Get latest blog function retrieves the most recently generated blog post in your account without re-running the pipeline. This is useful if you close the browser before copying your content, or if you want to re-use a recent piece as a starting point for a new one. Access it from the Content Studio main page under Recent content, or via the GET /content-studio/latest API endpoint.

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Understanding the output

Each generated piece includes:
  • Title — SEO-optimized, phrased to match likely AI query patterns
  • Meta description — A 150–160 character summary for use in your page metadata
  • Body content — Structured with H2/H3 headings, short paragraphs, and natural keyword distribution
  • Quality score — A RAGAS quality score shown in the output panel, indicating faithfulness and relevance
RAGAS (Retrieval-Augmented Generation Assessment) evaluates generated content on three dimensions: faithfulness (does the content accurately represent the topic?), answer relevance (does it address the stated question?), and context precision (is the information specific and well-sourced?). Scores above 0.8 indicate high-quality, citable content. Scores below 0.6 trigger an automatic revision pass before delivery.
Yes. The Content Studio editor lets you make changes directly in the interface before you copy or export. Edits do not affect your credit usage — you are only charged for the generation, not subsequent editing.
Not currently. Content Studio generates content for you to copy and publish through your own CMS or publishing tool. A direct CMS integration is on the roadmap.
AI models update their training data and citation indices on different schedules. You may see improvements in Perplexity and you.com within a few days of publishing (because they crawl live web content), while ChatGPT and Claude may take longer to reflect new content. Run a brand analysis 2–3 weeks after publishing to measure the impact.
Always review generated content before publishing. Content Studio optimizes for AI visibility and quality, but you should verify that all factual claims are accurate and consistent with your brand’s position.