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

# SuperBlocks: pre-built workflow components for content teams

> Drop pre-built SuperBlock components into your workflows to add SERP analysis, AEO scoring, content refresh, and internal linking in minutes.

SuperBlocks are expert-built workflow components that bundle multiple steps — research, analysis, creation, optimization — into a single drag-and-drop block. Instead of composing every pipeline from individual primitives, you drop a SuperBlock onto the canvas and it handles the complexity underneath. Each block arrives pre-configured with proven logic, so you can go from zero to a running content pipeline in minutes rather than hours.

## Block categories

<CardGroup cols={2}>
  <Card title="SERP & Research" icon="magnifying-glass">
    Analyze top-ranking content, surface competitive gaps, and auto-generate outlines from target keywords.
  </Card>

  <Card title="Content Creation" icon="pen-nib">
    Turn briefs into full articles, translate assets into other languages, and generate briefs from seed keywords.
  </Card>

  <Card title="Enhance & Optimize" icon="wand-magic-sparkles">
    Add internal and external links, title tags, meta descriptions, and hero images in bulk across your content library.
  </Card>

  <Card title="AEO & Answer Engine" icon="robot">
    Add key takeaways, run AEO scorecards, analyze ChatGPT questions, and generate structured schema markup.
  </Card>

  <Card title="Content Refresh" icon="arrows-rotate">
    Detect content decay, pull live SERP and Brand Kit context, and apply refresh changes across your entire library.
  </Card>
</CardGroup>

## Using SuperBlocks

<Steps>
  <Step title="Open the Workflow builder or add a column in Sheets">
    SuperBlocks work in both contexts. Start in the visual Workflow builder if you want to chain multiple blocks together, or go directly to Power Sheets if you want to run a single block across rows.
  </Step>

  <Step title="Click Add Block and switch to the SuperBlocks library">
    The block picker defaults to individual primitives. Toggle to the SuperBlocks tab to see the full library of pre-built components.
  </Step>

  <Step title="Browse by category or search by name">
    Filter by SERP & Research, Content Creation, Enhance & Optimize, or AEO & Answer Engine — or type the name of the block you need directly into the search field.
  </Step>

  <Step title="Drag the block onto the canvas or select it as the column type">
    In Workflows, drag the block onto the canvas and connect it to adjacent blocks. In Sheets, select it as the column type and it will process each row in your dataset.
  </Step>

  <Step title="Review the default configuration">
    The block auto-configures with default settings for model, prompt, and output format. Click **Configure** to adjust models, prompts, or Brand Kit scope to match your specific requirements.
  </Step>

  <Step title="Fork the block to create a private copy (optional)">
    If your process requires changes that should not affect teammates, fork the block. Your forked version is fully independent and appears in your workspace library alongside the originals.
  </Step>
</Steps>

## Forking and customizing

Every SuperBlock can be forked. A forked block is a private copy you can modify freely — change the prompt, swap the AI model, add a branching condition, or layer in additional Brand Kit rules — without affecting teammates or the original library version.

Forked blocks appear in your workspace library alongside the originals, clearly labeled so you always know which version you are running. If you improve a forked block and want to share it, you can publish it back to your team's shared library.

## Chaining SuperBlocks

SuperBlocks are designed to chain. The output of one block becomes the input of the next, and each downstream block receives the full context produced by all upstream blocks.

A typical chain might look like this:

1. **SERP analysis block** — Pulls and analyzes the top-ranking pages for a target keyword
2. **Brief generation block** — Builds a structured brief from the competitive gap analysis
3. **Article drafting block** — Writes a full draft from the brief with Brand Kit context applied
4. **AEO scoring block** — Evaluates the draft for LLM readability and citation readiness

Each step sees everything produced before it, so the AEO scoring block can reference the original SERP data, the brief, and the full draft — not just the most recent output.

## Common SuperBlock workflows

<AccordionGroup>
  <Accordion title="Bulk SERP refresh">
    Run decay detection and deep refresh pipelines across hundreds of URLs from a single Sheet column. Point the SERP refresh SuperBlock at your URL list, set the decay threshold, and let the block research, rewrite, and queue each page for review automatically.
  </Accordion>

  <Accordion title="Programmatic page generation">
    Generate templated landing pages with brand voice and quality checks intact. Chain a brief generation block with an article drafting block and a quality gate to produce consistent pages at scale without sacrificing control over individual outputs.
  </Accordion>

  <Accordion title="Internal linking pass">
    Add internal and external citations across your entire content library in one run. The internal linking SuperBlock reads your existing page inventory, identifies relevant anchor opportunities, and inserts links without disrupting surrounding copy.
  </Accordion>

  <Accordion title="AEO remediation">
    Score pages for LLM readability and apply citation-ready improvements at scale. Run the AEO scorecard block across your URL list to identify gaps, then chain it with the AEO enhancement block to apply fixes in the same pipeline.
  </Accordion>
</AccordionGroup>

## Cost and runtime visibility

Before you run any SuperBlock, VeluraHQ shows you the estimated credit cost and expected runtime for the job. You can review the estimate, adjust the scope — narrow the URL list, change the model, or limit the output length — and recheck before committing. This makes it straightforward to plan capacity and avoid surprise credit usage on large batches.