The Way Experts Get Found Is Changing

If AI were looking for an expert in your field, would it find you?

And if it found five people with similar credentials, would there be enough evidence to know why you should be the first choice?

Search is becoming conversational, comparative, and AI-mediated. Credentials alone are no longer the whole signal. AI systems increasingly assemble answers from the evidence they can find across the web: what you have written, what others say about you, the ideas associated with your name, the consistency of your expertise, and the sources that substantiate it.

Bicker Table helps experienced professionals turn years of expertise, pattern recognition, frameworks, and original ideas into a coherent body of Authority IP, so humans and AI systems have something meaningful to recognize, understand, and distinguish.

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Why This Matters Now

The mechanism through which expertise gets discovered is changing.

1B+
Monthly active users on Google AI Mode as of May 2026
Source: Google I/O 2026
3×
Average AI Mode query length versus traditional search
Source: Google, May 2026
2×+
AI Mode queries have more than doubled every quarter since launch
Source: Google, May 2026
8%
Of the time people click a traditional result when an AI Overview is shown, versus 15% when it isn't
Source: Pew Research Center, 2025

"Microsoft Copilot Search reads, cross-checks, and reasons across web sources to construct an answer." — Microsoft

People are no longer only searching for pages. They are asking systems to compare, interpret, recommend, and decide.

That changes what authority looks like.

The Shift

Authority has two audiences now.

The people deciding whether to trust you. And the systems increasingly helping them decide who to look at. We build for both.

Human Audience

People evaluating credibility

Executives, clients, and partners deciding who to trust still read your work, check your reputation, and form a judgment the old-fashioned way.

AI Audience

Systems assembling answers

AI answer engines decompose a question into subtopics and search across the web before constructing a response, then decide who gets named and why.

Why the Gap Exists

You already know more than you've said out loud.

AI cannot infer a career's worth of private expertise from a resume. Humans cannot evaluate thinking they cannot see. The strongest parts of an expert's value often still live in conversations, client work, decisions, and pattern recognition that have never become public evidence.

Content is easy. Clarity is hard.

The Model

Authority IP and Eminence Positioning

Authority IP

What can credibly belong to your name

The distinct frameworks, patterns, ideas, experience, and methodology that are yours, not generic advice any competent peer could have written.

Eminence Positioning

What you should be known for

Your authority position in the market. Not a niche you're boxed into, an intellectual territory you own.

This is not gaming AI, keyword stuffing, or synthetic SEO. The objective is substantive, consistent, attributable evidence that helps systems, and people, understand who you are, what territory you belong in, how you think, and why you deserve consideration beside similar experts.

The Real Problem

Educational content demonstrates what you know. Authority IP demonstrates how you think.

Many experts have good, informative content covering their field. The material demonstrates competence, but it could often have been written by almost anyone competent in that area.

The problem is not that your content is bad. The problem is that it could belong to almost anyone.

Authority IP makes the expertise distinctly attributable to you.

How the Engagement Works

Seven stages. One coherent body of evidence.

Authority Discovery

Determine the expertise, patterns, frameworks, and intellectual territory you can credibly own.

Eminence Positioning

Define what you should become known for and how your different bodies of expertise connect.

Authority Architecture

Build the threads, pillars, and editorial territory that create a coherent body of evidence.

Authority IP Development

Develop roughly ten to twelve substantive cornerstone pieces from your actual thinking and experience.

Distribution Architecture

Determine where the work needs to live and how it's reinforced across LinkedIn, communities, and other formats.

AI Visibility Benchmarking

Establish a baseline for how you currently appear across AI answer systems, and track it over time.

Market Conversation

Upgrade profile positioning, engagement strategy, and calls to action so the work connects to real business conversations.

Evidence, Not Assumptions

This approach has already been tested in practice.

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The Offer

First, build the authority. Then decide how far you want us to take it.

Every engagement begins the same way: making the expertise that already exists inside your work visible, attributable, and distinct. From there, build the foundation, compound it into a larger authority system, or have us help run it.

See the Engagements →
Founder, Bicker Table Advisory

Built on a system used on myself first.

Jamie Arias, Founder of Bicker Table Advisory

Jamie Arias is the founder of Bicker Table Advisory. She has completed three prompt-engineering and auditing projects with major AI companies, two with Google and one with Meta, and built the strategic frameworks the firm's advisory and authority work run on.

The mission is not to hand human thinking over to AI. It is to use AI to think more clearly, communicate more precisely, and turn the knowledge already inside an organization, or an expert, into evidence that moves the business forward.