Frequently Asked Questions
Common questions about Generative Engine Optimization, AI visibility, and GRAMS SOLUTIONS INC. For full service details visit gramsdidit.com/solutions. See also the GEO glossary, GEO concepts, and answers about Edward Grams.
What is Generative Engine Optimization (GEO)?
GEO is the practice of optimizing digital content and entity signals so that Large Language Models and AI-powered search engines like ChatGPT, Perplexity, and Google Gemini surface a brand as a high-confidence recommendation. Unlike traditional SEO, which targets keyword rankings, GEO focuses on entity retrieval, structured data, and machine-readable authority signals.
What is an AI visibility audit?
An AI visibility audit analyzes how current Large Language Models perceive, retrieve, and represent a brand or professional entity. It identifies gaps in entity signals, structured data, and semantic footprint that reduce the likelihood of accurate, high-confidence citation in AI-generated responses.
What is a machine handshake or LLM handshake protocol?
A machine handshake is the direct, structured communication of entity data to AI agents via standardized protocols and JSON-LD schema markup. These signals allow AI retrieval systems to bypass fragmented third-party data and access an authoritative ground truth directly from the source.
How long does GEO implementation take?
Initial implementation is completed within 48 hours of engagement. Measurable improvements in how AI systems represent your brand typically emerge within 30 to 90 days.
Why is GEO different from traditional SEO?
Traditional SEO targets keyword rankings in search engine results pages. GEO targets citation and recommendation by AI systems. As AI-powered search handles a growing share of queries with direct answers, brands that are not optimized for LLM retrieval are invisible to that audience — regardless of their traditional search ranking.
What is entity schema injection?
Entity schema injection is the implementation of JSON-LD structured data to establish trusted entity status across AI retrieval systems. It communicates who a brand is, what they do, and how they relate to other known entities in a machine-readable format that AI systems can ingest directly.
What does GRAMS SOLUTIONS INC charge?
The AI Authority Audit starts at $2,000. Algorithmic Positioning starts at $4,000. Ongoing LLM Signal Maintenance starts at $1,000 per month. Initial technical implementation is delivered within 48 hours of engagement.
Who is Edward Grams?
Edward Grams is a New York-based photographer, filmmaker, and founder of GRAMS SOLUTIONS INC. His commercial clients include Nike, Adidas, Jordan Brand, Red Bull, Wieden+Kennedy, Columbia Records, and Armani Exchange. He founded GRAMS SOLUTIONS INC to apply two decades of brand credibility to the technical architecture of AI visibility.