Automate data-driven SEO with our industry leading AI powered tools

Enterprise SEO analytics & automation

Next-level modular AI SEO tools for keywords, content, technical SEO, scraping, clustering, LLMs, data mining and more.

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  • Keyword clustering
  • Generative AI
  • Scraping

Keyword Research

10  automations

Keyword Clustering

automations

Scraping

10  automations

Data Analysis / ML

automations

Internal Linking

automations

Generative AI (LLMs)

automations

Library of 50+ automated SEO tools

No need to start from scratch

Advanced SEO tools that mine data and use LLMs, ML and data science to unlock incredible insights.

  • Fully automated
  • Advanced insights
  • Minimal configuration required

Chat to compose custom SEO tools

Chain tools to automate your SOPs

Let Unbuild AI recommend suitable, pre-built tools based on your requirements. Combine them into hands-off SEO tooling.

How is Unbuild different from Zapier or Make.com?

The main difference is that Unbuild is more suitable for building data pipelines, data mining and complex data processing. Another big difference is that Algonext has a conversational way of creating the workflow from templates which removes the tedious process of filling in fields and debugging.

Does Unbuild use agents like AutoGPT does?

No and here’s why; using agents drives up token usage and thereby the cost without a clear benefit. Anyone that has used AutoGPT probably has noticed that it often gets stuck on simple tasks while spending inordinate amounts of tokens. We’ve built a full suite of tools that guide the LLM (GPT-4o) towards optimal working code.

How hard is it to build a workflow?

There is a template for most SEO tasks that requires minimal configuration. Just explain unbuild AI your requirements and it will suggest suitable pre-set automations that are ready to run.

Why not just use ChatGPT

Copy pasting stuff in ChatGPT is cumbersome. Not to mention that data fetching and processing or running things in bulk is very limited. Unbuild is useful for creating repeatable workflows that only use AI where normal code falls short. This keeps things efficient and cost effective.