Guide to AI Search Monitoring and Optimization with OtterlyAI
1. Introduction to AI Search Monitoring 0:00
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Welcome and introduction by Klaus M.
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Overview of the purpose: demo for OtterlyAI focusing on AI search monitoring and optimization.
2. Three-Step Concept Overview 0:17
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Introduction to the three-step concept for AI search monitoring:
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Step 1: Prompt Research
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Step 2: Monitoring Brand and Competition
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Step 3: Optimization Opportunities
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3. Step 1: Prompt Research 0:34
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Explanation of prompt research:
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Similar to keyword research in SEO.
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Identify questions or prompts customers might ask about products/services.
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Aim for 50-100 prompts per product, considering different languages.
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4. Importance of Non-Branded Prompts 3:06
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Emphasize the need for non-branded prompts to avoid biased reports.
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Suggest monitoring branded prompts separately if needed.
5. Focus on Bottom of the Funnel Search Points 3:53
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Start with bottom of the funnel search points for higher buying intent.
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Avoid informational queries that do not reveal brand presence.
6. Tools for Prompt Research 4:45
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Introduction to tools available in OtterlyAI for prompt research:
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AI prompt research tool.
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Resources available on the OtterlyAI website.
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7. Demonstration of AI Prompt Research Tool 5:44
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Walkthrough of the AI prompt research tool:
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Options to convert SEO keywords into search prompts.
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Extract topics from URLs to create prompts.
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8. Adding and Tagging Prompts 9:05
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Instructions on how to add prompts manually and through CSV import.
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Importance of tagging prompts for organization.
9. Understanding Intent Volume 9:53
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Explanation of intent volume estimation:
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Based on traditional search data from Google.
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Algorithm to estimate potential usage on AI searches.
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10. Monitoring and Filtering Prompts 12:02
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Overview of monitoring prompts and filtering options in the system.
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Importance of patience while data is being processed.
11. Conclusion and Next Steps 15:04
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Summary of the prompt research process.
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Teaser for the next part focusing on brand reports.