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How to Integrate LLMs into Your SEO Workflow



Here’s how to build and use query libraries effectively:

Create reusable queries:

  • Identify repetitive tasks, such as generating title tags, meta descriptionsthat is, content outlines.
  • Develop instructions that consistently produce reliable results, using frameworks such as the 5Ws and H’s to maintain clarity.

Organize queries for quick access:

  • Categorize queries by task type (e.g. content creationtechnical SEO, competitor analysis).
  • Store, markup, and retrieve queries using tools like Google Sheets or Notion. Feel free to make a copy of mine SEO query generator.

Standardize workflows in teams:

  • Share quick libraries with your team to ensure consistent results, especially in collaborative projects.
  • Encourage team members to improve and expand the library based on their specific needs.

For example, instead of creating a new query for each meta description, your library can include a reusable template:

“Write a meta description for [page/topic]. Use an engaging tone, include a keyword and keep it under 160 characters.”

3. Connect SEO tools with OpenAI

SEO tools are increasingly incorporating ChatGPT functionality into their platforms. This integration allows you to create insights and recommendations without leaving your existing workflow.

Below are some of them that stand out AI SEO tools and specific applications:

SEOTesting.com

SEOTesting.com includes ChatGPT within its platform to simplify content optimization and reporting tasks. This integration enables customizable suggestions in real time.

A key use case for SEOtesting.com

  • Identify poorly performing pages with missing or weak metadata.
  • Use insights to improve metadata, such as adding missing keywords or reshaping title tags to better align with keyword intent.

Horseman SEO indexing tool

The Horseman SEO indexing tool combines technical audit with content recommendations, solves problems of metadata optimization and keyword extraction.

Key use cases for Horseman SEO crawler

  • Generating meta description: Automatically generate descriptions for pages that lack metadata, ensuring they match the most relevant keywords.
  • Keyword extraction: Analyze the content of the page to identify top ranked or missing keywords and suggest their integration into metadata.
  • Technical insights into SEO: Use a no-code AI interface to scrape and get helpful solution recommendations technical SEO issues identified during crawling.

If you’re looking for a more comprehensive solution, give it a try Moz website search. While Horseman focuses on metadata optimization and keyword extraction, Moz’s Site Crawl identifies a wider range of issues, including redirects, indexing errors, and missing metadata, prioritizing fixes based on their impact.

Their proprietary Rogerbot provides thorough audits even for complex websites, leading to actionable insights for faster resolution.



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