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Geo AI Agent provides precise optimization recommendations by automating the analysis of web content against Google AI Overviews. The steps are as follows:
- Step 1: Environmental preparation - Install Python versions 3.10-3.13 via the
git cloneGet Project Code - Step 2: API Configuration - Request API keys for Gemini and Bright Data, populate .env file (must contain MODEL and ZONE configurations)
- Step 3: Run the analysis - utilization
crewai runThe command enters the target URL and the system will automatically complete it:- Extract page H1 title
- Generate relevant search queries (based on Gemini)
- Get a summary of Google AI Overviews
- Implementation content gap analysis
- Optimization implementation - As recommended in output/report.md:
- Adjusting the title to match keywords with high ranking results
- Adding missing but emphasized points of information in AI Overviews
- Optimize content structure to better match search intent
advanced skill: Repeat the analysis on a regular basis (once every 2 weeks is recommended) to track the optimization effect; for e-commerce pages, focus on optimizing the correlation between product feature descriptions and AI summaries.
This answer comes from the articleGeo AI Agent: Analyzing Web Content and Providing Search Ranking Optimization RecommendationsThe
May not be reproduced without permission:AI productivity tools " How to Improve Web Page Ranking in Google Search Results with Geo AI Agent?
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