SEO-AEO-Engine: AI-Powered Dual-Engine Optimization Tool Reshaping Landing Page Conversion Rates

This article introduces the SEO-AEO-Engine tool developed by Antigravity AI, which combines Search Engine Optimization (SEO) and Answer Engine Optimization (AEO) to generate high-conversion landing pages through intelligent automation, helping businesses stay competitive in the AI search era. Its core value lies in unifying the two optimization workflows, reducing costs, and improving visibility and conversion rates.

With the popularity of large language models like ChatGPT and Claude, user search behavior has shifted from the "keyword-link" model to the "conversation-answer" model. Enterprises need to optimize both traditional search engine rankings (SEO) and AI assistant exposure (AEO) simultaneously; a single strategy is no longer sufficient. SEO-AEO-Engine was born precisely against this backdrop.

SEO-AEO-Engine is an open-source AI skill project hosted on GitHub. Its core concept is: in the AI search era, dual-track optimization is required—traditional SEO focuses on SERP rankings, while AEO focuses on AI assistant citations and recommendations. The tool unifies the workflows of SEO (keyword placement, meta tags, structured data, etc.) and AEO (content structuring, FAQ generation, etc.) to provide a complete landing page solution.

The tool is based on the Antigravity AI skill framework (highly extensible), with dual-engine optimization at its core:

SEO Dimension: Intelligent keyword research, meta title and description generation, structured data embedding, page speed/mobile optimization, internal link planning.

AEO Dimension: AI-friendly content structure, FAQ snippet generation, knowledge graph entity tagging, conversational content optimization, multi-modal support.

Additionally, it integrates Conversion Rate Optimization (CRO): behavioral psychology layout suggestions, CTA optimization, social proof integration, A/B testing-friendly structure.

1. Marketing Teams: Reduce the time cost of landing page creation (from days/weeks to minutes to generate a prototype), focusing on strategic creativity.
2. Small and Medium Enterprises: The open-source feature provides a low-cost professional solution, balancing digital marketing competition with large enterprises.
3. Content Creators: Quickly create promotion pages to ensure good display on search engines and AI assistant channels.

SEO-AEO-Engine marks the evolution of search optimization towards AI-native. As Perplexity, Copilot, Google SGE, etc., mature, the importance of AEO becomes prominent. Future content optimization will require a "dual-track system" (being found by search engines + being cited by AI), which demands the reconstruction of information architecture and expression methods. In terms of the open-source community, the tool demonstrates the reusability and modularity of AI skills, promoting joint iteration and improvement by the community.

SEO-AEO-Engine is not just a tool, but also a thinking framework for the future of search. Enterprises and creators need to pay attention to both "search engine visibility" and "AI assistant citations" simultaneously. This open-source project is a worthwhile starting point to maintain competitiveness during the transition period, and we look forward to community contributions to make it more mature and powerful.