Generative Engine Optimization (GEO)
Search has evolved. Millions of homeowners now search for services on ChatGPT, Google Gemini, and Perplexity. We help trade contractors establish the entity footprint needed to secure AI engine recommendations and citations.
Audit My AI VisibilityAI Visibility Score
We evaluate your brand authority footprint across OpenAI, Google, and Anthropic database networks.
The Three Pillars of AI SEO
How large language models evaluate and recommend local contractors.
1. Entity Authority
LLMs scrape local maps, business filings, social networks, and review registries to map your brand name as a trustworthy local entity.
2. Structured Data
Adding clear schema code, bullet lists, definition blocks, and comparative tables allows AI engines to parse and extract your content coordinates.
3. Local Review Signal
Customer review sentiment and listing consistency build LLM trust, making your company the recommended partner for trade prompts.
AI Optimization Guides
Practical resources outlining how to position your contractor brand for AI citation.
ChatGPT SEO
Learn how to secure citations when home service clients ask ChatGPT for contractor recommendations.
Read Optimization GuideGoogle AI Overviews
Optimize your on-page data schema to appear in Google's generative AI summary boxes.
Read Optimization GuidePerplexity SEO
How Perplexity references online directories and stats tables to verify local trade authorities.
Read Optimization GuideGenerative Engine Optimization
Understanding GEO—the search guidelines for generative models.
Read Optimization GuideLLM Optimization
Learn how large language models parse content structure, directories, and entities.
Read Optimization GuideAI Citation Optimization
A systematic approach to building citable statistics hubs and definition libraries.
Read Optimization Guide