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

# Content Studio: Generate AI-Optimized Content

> Generate AI-optimized blog posts and social content. CogNerd runs SEO analysis, competitor research, and RAGAS quality checks before delivering your draft.

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.

<Note>
  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.
</Note>

## How the pipeline works

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

<Steps>
  <Step title="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.
  </Step>

  <Step title="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.
  </Step>

  <Step title="Intent classification">
    CogNerd classifies the search intent behind your topic — informational, commercial, navigational, or transactional — and adjusts the content structure accordingly.
  </Step>

  <Step title="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.
  </Step>

  <Step title="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.
  </Step>
</Steps>

## Generate a blog post

<Steps>
  <Step title="Open Content Studio">
    Navigate to **Dashboard → Content Studio**.
  </Step>

  <Step title="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.
  </Step>

  <Step title="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."
  </Step>

  <Step title="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.
  </Step>

  <Step title="Generate">
    Click **Generate**. The pipeline runs automatically. Short posts typically take 30–60 seconds; long-form articles take 90–180 seconds.
  </Step>

  <Step title="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.
  </Step>
</Steps>

<Tip>
  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.
</Tip>

## Content types

<Tabs>
  <Tab title="Short blog post">
    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.
  </Tab>

  <Tab title="Long blog post / article">
    Long-form content (30 credits) runs 1,200–2,500 words. It covers a topic in depth with multiple H2 and H3 sections, examples, and a structured conclusion. Use long articles for:

    * Cornerstone content that establishes your brand as an authority on a topic
    * Comprehensive guides that AI models can cite in detail
    * Content that supports multiple related search intents in a single piece

    Long articles take more time to generate but carry higher citation value when AI models are answering complex questions.
  </Tab>

  <Tab title="Social content">
    Social content generation creates short-form posts suitable for LinkedIn, X (Twitter), and similar platforms. Social content is derived from your blog content or entered topic, reformatted for brevity and engagement. Use social content to:

    * Distribute your blog posts across channels
    * Maintain a consistent publishing cadence
    * Share key insights in a format optimized for social AI surfaces like Grok and Perplexity
  </Tab>
</Tabs>

## 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.

## 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

<AccordionGroup>
  <Accordion title="What is the RAGAS quality score?">
    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.
  </Accordion>

  <Accordion title="Can I edit the generated content?">
    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.
  </Accordion>

  <Accordion title="Does Content Studio publish directly to my website?">
    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.
  </Accordion>

  <Accordion title="How soon after publishing will my score improve?">
    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.
  </Accordion>
</AccordionGroup>

<Warning>
  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.
</Warning>