Crawled: Search Visibility Optimization Methodology for the AI Era

Crawled proposes the Generative Engine Optimization (GEO) framework, integrating traditional SEO with entity-based content strategies to help enterprises improve their citation rate and recommendation level in AI search systems (such as ChatGPT, Perplexity). The core is to build a lasting competitive advantage through authority construction, clarity optimization, and trust accumulation.

With the popularity of AI assistants like ChatGPT, users' way of obtaining information has shifted from clicking links to directly asking AI, and traditional SEO can no longer meet the demand. This has spawned the GEO field, and Crawled, as a pioneer, has proposed a systematic methodology to respond to AI-driven changes in the search ecosystem.

Crawled's methodology is based on the concept of entities (knowledge graph nodes), including:

1. Authority Construction: Joining knowledge graphs (Google Knowledge Graph, Wikidata), building citation networks, expert endorsements;
2. Clarity Optimization: Structured data markup (Schema.org), clarifying entity relationships, integrating multi-modal content;
3. Trust Accumulation: Public information sources, maintaining cross-platform consistency, optimizing user feedback.

Crawled emphasizes the synergy between the two:

• Combining keywords and entities: Clarify relevant entities (such as competitors, concepts) when optimizing keywords;
• Modular content architecture: Core pages for comprehensive coverage, subpages for in-depth specific directions, internal links to build hierarchy;
• Unified technical foundation: Website speed, HTTPS, clear URLs/navigation, robots.txt and sitemap configuration.

GEO strategies for different industries:

• B2B Software: Embed technical specifications/scenarios, create competitor comparisons, establish developer documentation;
• Local Services: Ensure consistent platform information, encourage detailed reviews, create FAQs;
• Content Publishing: Invest in original research, highlight author qualifications, use cited references.

Crawled's framework adapts to future development:

• Multi-modal search: Pre-layout image/video/audio content;
• Balance between personalization and privacy: Find a balance between visibility and compliance;
• Real-time information integration: Establish a real-time content update mechanism.

Although search rules have changed, the core principles remain the same: provide value, build trust, and maintain clarity. Crawled's GEO framework helps enterprises adapt to the AI era. Marketers need to embrace entity-based thinking while pleasing both human readers and AI systems to take a dominant position.