Use case · Aive GEO

Automate every new video.

Connect your channel: every new video becomes an answer automatically. Your AI-readable catalog grows while your team does something else.

Last verified · 6 October 2026
What you gain

Three gains, one use case.

Coverage that grows

Without extra headcount.

No video forgotten

Every new release gets processed.

A consistent catalog

The same formats and rules on every video.

How it works

Three steps, one flow.

  1. 01

    Connect

    Your channel or video library.

  2. 02

    Generate

    The full pipeline for every new video: article, FAQ, chapters, clips.

  3. 03

    Publish

    Linked to the rest of the catalog, after approval under your rules.

Powered by Illustration, demo data
Automation

Every new video triggers the workflow.

Open, edit and test the workflow in the editor. Illustration, demo data.

‹ Workflows Content Refresh Workflow GenerationDraft 5 run(s)6 run(s)
  1. Départ Workflow inputs → contentUrl
    URL of the content to refreshRunning
  2. web_scrape Read a page → currentContent
    4,812 wordsRunning
  3. score_geo GEO score → scoreBefore
    54 / 100Running
  4. prompt_llm AI instruction → analysis “Analyse the GEO weaknesses of this content. Identify the weak criteria and suggest fixes.”
    3 weaknessesRunning
  5. prompt_llm AI instruction → improvedContent “Rewrite this content fixing every weakness found. Target: GEO score ≥ 75.”
    New version readyRunning
  6. score_geo GEO score → scoreAfter
    81 / 100Running
  7. condition scoreAfter > scoreBefore
    YesRunning
  8. webhook Send via webhook · after approval
    Awaiting approvalRunning

Run #6 succeeded · GEO score 54 → 81 · publishing awaits approval

Demo data · Aive GEO workflow editor interface.
Frequently asked questions
Can we test first?

Yes: the free check gives an instant preview, and a scoped GEO Audit measures your position on agreed questions, engines and markets.

How long before results?

First article in minutes; first measured citation typically within 2 to 4 weeks, depending on LLM indexing, with no commitment on results.

Is our content used to train models?

Never. We never use our business customers’ data to train our models. In Aive GEO, analysing the questions asked to the Expert and how the platform is used helps improve topic and trend detection, as well as service quality. Enterprise customers’ data, however, is kept for their own needs, within their workspace.

One domain is enough to start.

An instant AI visibility estimate, no account. Then a GEO Audit scoped on your questions, engines and markets.