How ChatGPT, Gemini, and Perplexity Actually Find People
When someone asks an AI assistant "Who is the best real estate agent in Scottsdale?", the answer does not come from a directory or a ranked list. It comes from the AI's understanding of the world — built from the text it was trained on and, increasingly, from real-time web retrieval. Understanding how this process works is the key to making sure AI can find you.
Two Ways AI Finds Information About People
AI systems use two primary methods to answer questions about professionals:
1. Training Data (What AI Already Knows)
Large language models like GPT-4 and Gemini are trained on massive datasets of web content, books, articles, and public records. During training, the model absorbs facts about people (names, roles, locations, achievements) and stores them as patterns in its neural network. If your biographical information appeared frequently and consistently across multiple sources during training, the model "knows" about you.
The problem: training data has a cutoff date and favors information that appeared on high-authority, well-structured websites. If your online presence is thin, scattered, or poorly formatted, the model may have no useful representation of you at all.
2. RAG: Retrieval-Augmented Generation (Real-Time Search)
Newer AI systems supplement their training data with real-time web search. This approach, called Retrieval-Augmented Generation (RAG), works like this: the AI receives a question, searches the web for relevant pages, reads those pages, and synthesizes an answer. Perplexity is built entirely on RAG. ChatGPT and Gemini use it when they need current information.
RAG is your biggest opportunity. Unlike training data, which is fixed until the next model update, RAG pulls from the live web. If your website has a clear, structured biography with schema markup, RAG systems can find it, read it, and use it to recommend you right now.
Why Most Professionals Are Invisible to AI
The vast majority of professionals have no meaningful presence in AI systems. Here is why:
- No structured biographical content. Their website has a headshot and a paragraph, but not a comprehensive, structured biography that AI can parse.
- No schema markup. Without Person schema markup, AI has to guess whether content is about a person, a business, or something else entirely.
- Inconsistent information across sources. Their name appears differently on their website, LinkedIn, Zillow, and directory listings, confusing AI about whether these are the same person.
- Content locked behind walled gardens. Key information lives on platforms like LinkedIn, Zillow, or Realtor.com where AI crawlers have limited access.
- Generic, undifferentiated content. Their bio reads like every other professional's bio, giving AI no reason to recommend them over anyone else.
Stop Being Invisible to AI
BioLab creates the structured, schema-marked biography that AI search systems need to find and recommend you.
What AI Needs to Recommend You
To move from invisible to recommended, AI needs to confidently answer several questions about you:
- Who are you? Full name, professional name, any aliases or previous names
- What do you do? Your professional role, industry, and specific specializations
- Where do you operate? City, neighborhoods, markets, states where you are licensed
- Are you credible? Credentials, license numbers, years of experience, transaction history
- How can someone reach you? Website, phone, social profiles, office address
A well-structured professional biography answers all five of these questions in a single, coherent document. That is why it is the most important asset for AI discoverability. It gives AI everything it needs in one place.
The Role of Consistency
AI systems build confidence through corroboration. When your name, title, location, and credentials appear consistently across your website, social profiles, directory listings, and press mentions, AI becomes more confident that this information is accurate. Inconsistency, like a different name spelling here or a missing credential there, erodes that confidence and can cause AI to hedge or omit you entirely.
This is why your biography should be the authoritative source of truth about you, and every other platform should reflect the same information. Check our AI visibility checklist for a step-by-step guide to ensuring consistency across your online presence.
Next: AI-optimized bio vs traditional bio: what's the difference? →