By Jeff Altman, The Big Game Hunter
In the traditional job market, the path to employment was linear: you wrote a resume, uploaded it to a portal, and hoped a human recruiter or a basic keyword-matching algorithm (ATS) found you. Now, that linear path has been replaced by a multidimensional web of AI-driven discovery. Recruiters now use “Agentic Search,” asking platforms like Gemini, Perplexity, or specialized enterprise LLMs to “find me three project managers with experience in decentralized finance and a track record of scaling remote teams.” If your name and portfolio are not structured to be understood by these models, you are effectively invisible, regardless of your talent. This guide outlines the foundational steps for ‘Personal AI-SEO’—the art of optimizing your digital footprint so you are the answer to the recruiter’s prompt.
Large Language Models (LLMs) do not view the internet as a collection of pages; they view it as a web of ‘entities.’ For an AI model to recommend you, it must first be certain that ‘Jane Doe’ on LinkedIn is the same ‘Jane Doe’ who wrote a viral industry article on Medium and the same ‘Jane Doe’ mentioned in a corporate press release. Information workers often make the mistake of using fragmented identities—professional names on some sites and casual handles on others.
To fix this, consolidate your “Entity Identity.” Use your full professional name across all platforms. In your bios, use a consistent “Anchor Phrase.” For example, if you are a “Cybersecurity Architect specializing in Zero Trust,” that exact phrase should appear in your LinkedIn headline, your X bio, and your personal website. This repetition helps the AI cluster all your disparate digital activities into a single, high-authority profile.
For decades, the most valuable information about a worker’s skill was locked inside a private PDF resume or a password-protected internal company portal. AI agents cannot crawl these. If your expertise only exists in a document on your hard drive, it does not exist in the eyes of an LLM. Information workers must begin “leaking” their expertise into the public domain.
This doesn’t mean sharing trade secrets; it means sharing your methodology. Instead of just listing “Agile Project Management” as a skill, write a public post or a blog entry titled “How I use Agile to reduce sprint cycles by 20% in FinTech environments.” By publishing this, you provide the AI with ‘tokens’—specific, context-rich words—that associate your name with high-level problem-solving. This moves you from a “keyword match” to a “proven solution” in the AI’s logic.
Recruiters no longer search for “Python + SQL + 5 years experience.” They search for natural language outcomes. They ask, “Who can help us transition our legacy data to the cloud?” To be cited, your public profile must mirror these natural language questions. On your LinkedIn ‘About’ section or personal portfolio, include a “How I Help” section. Frame your skills as answers to common industry problems. Use full sentences and narrative structures, as LLMs are trained to prioritize well-structured, informative prose over bulleted lists of nouns. The more your written content sounds like a high-quality answer to a recruiter’s question, the more likely the AI is to cite you as the source of that answer.
AI models like Perplexity use Retrieval-Augmented Generation (RAG), which means they browse the live web for the most current information. They often look toward community hubs where experts congregate. For information workers, being active in public Slack archives, Discord servers with web-viewable logs, and industry-specific forums is critical. When you answer a peer’s question in a public forum, you are inadvertently training the AI to see you as an authority. Every helpful comment, GitHub pull request, or Stack Overflow answer acts as a digital “vote” for your expertise that an AI agent can count.
Ⓒ The Big Game Hunter, Inc., Asheville, NC 2026
ABOUT JEFF ALTMAN, THE BIG GAME HUNTER
Jeff Altman, The Big Game Hunter, is a coach who worked as a recruiter for what seems like one hundred years. His work involves career coaching, all as well as executive job search coaching, job coaching, and interview coaching. He is the producer and former host of “No BS Job Search Advice Radio,” the #1 podcast in iTunes for job search with more than 3100 episodes.
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