AI Visibility, Measured

Right now, somewhere, a customer is asking ChatGPT for a business like yours, and getting a confident answer that doesn't include you.

I measure whether your business gets named, and what's standing between you and getting cited.

This isn't a self-serve tool or a one-and-done report. I work alongside you from start to finish, walking you through what I find, what it means for your business, and exactly where the opportunities are. There's a real person on the other end of every step.

See a Sample ReportThere is no software to install and no subscription to manage, only a clear, evidence-based read on where your business stands in AI-assisted discovery.
Probate Attorney
Who are the best probate attorneys in Naples for a contested estate?
Local Search
I need a designer in Baltimore who respects the original 1920s character of my home.
Comparison
Which firms specialize in tax strategy for Americans living abroad?
High-Intent Search
Best family-friendly vacation rentals near Asheville for a week in June.
The Shift

Search behavior is changing faster than most teams can see.

Buyers are increasingly turning to ChatGPT, Claude, Gemini, and other answer engines before they ever visit a website. Instead of reviewing pages of search results, they ask a question and receive a shortlist of recommended businesses.

For most companies, the question is no longer whether they rank in search. It's whether AI systems understand who they are, what they do, and when they should be recommended. If you're absent from those conversations, potential customers may never know you were an option.

The question is no longer just whether your website ranks. It is whether AI systems understand, trust, and recommend you.
20%

High-intent research is increasingly beginning inside AI assistants before buyers ever visit a company website.

Source: SparkToro, 2025
34%

More than one-third of U.S. adults now use ChatGPT, making AI recommendations part of the buying journey.

Source: Pew Research Center, 2025
AI Visibility

AI visibility is not SEO.

Traditional search asks users to review options and make their own decision. AI assistants do something different: they synthesize information, form a recommendation, and often present a shortlist before a buyer ever visits a website.

The challenge is no longer simply being found. It is becoming one of the businesses AI systems understand, trust, and recommend.

Traditional Search
Search
  1. Browse options
  2. Visit websites
  3. Compare
  4. Decide
Answer Engines
Ask a question
  1. AI synthesizes information
  2. Creates a shortlist
  3. Buyer trusts recommendation
  4. Visits 1-2 businesses
The biggest shift isn't where the click happens; it's that the decision is now being made well before any click occurs.

Many companies continue optimizing for visibility after a buyer arrives on their site. Increasingly, the more important question is what happens before that visit ever occurs. If AI systems don’t understand your business, you may never make the shortlist.

The Methodology

Built to measure what most audits miss.

This isn't a dashboard or a manual spot-check; it is a purpose-built pipeline that runs the same rigorous framework for every client, every time.

Query Framework

Every audit starts with a custom set of questions built around how your actual buyers search, organized into five intent tiers, from broad discovery all the way to direct brand queries. The questions are specific to your business, your market, and your category.

Engine Testing

Those questions run programmatically across ChatGPT, Claude, and Gemini simultaneously using their live APIs, not manual browser sessions. Every response is logged, structured, and compared across engines so patterns emerge from data, not memory.

Visibility Analysis

135+ responses get measured for brand mentions, citation frequency, positioning, sentiment, and the specific query types that trigger recommendations. You see exactly where you appear, where you don't, and what's driving both.

Citation Sources

The audit identifies what external sources, directories, reviews, and third-party references each engine draws on when it recommends businesses in your category, so you know what to build toward, not just what's missing.

Visibility scores are derived from sampled AI responses, citation analysis, authority signals, and competitive benchmarking, and they represent relative visibility within the testing set rather than a direct equivalent to search engine rankings. Because answer engines generate responses probabilistically, results can shift from day to day and session to session, so each audit reflects a representative snapshot rather than a fixed score.

Framework

Every finding is evaluated through three lenses.

Most visibility audits measure what happens after the click. This one measures what happens before it. By the time a buyer reaches your website, AI has often already shaped their shortlist. The audit is designed to measure that conversation, not just the traffic it produces.

Visibility problems, competitive problems, and authority problems often look similar from the outside. The audit separates them so recommendations are based on evidence rather than assumptions.

Your Presence

Measure where your business appears, how often, and what buyer questions trigger recommendations versus the ones that route around you entirely. This separates the businesses that get confirmed from the ones that get discovered.

Competitive Positioning

Identify what competitors AI recommends in your category, where they appear that you don't, and what patterns make them consistently citable. This is the intelligence that turns findings into a specific path forward.

Source Landscape

Understand what external sources, directories, reviews, and third-party references AI systems draw on when making recommendations in your category. These are the places that shape what AI thinks it knows about your business.

Looking through only one lens creates misleading conclusions. The audit combines all three perspectives to separate visibility gaps, positioning gaps, and authority gaps, so every recommendation points to the right fix.

More Than a Report

A real product, not a deliverable.

Every client receives access to a password-protected online portal where their full report, findings, and prioritized recommendations live in one place, organized and readable, and easy to share with anyone on their team who needs to see it. The audit captures a specific moment in time, giving you a clear and honest picture of where you stand and what the path forward looks like.

Sample client portal dashboard view showing an AI visibility audit for Maison Alden Interiors
Sample Client Portal View

Finding-by-Finding Walkthrough

Every audit includes a 60-minute working session where the findings get translated into specific next actions ranked by impact and effort. The goal of the call is to leave with clarity about what to do first and why it matters more than everything else on the list.

Competitive Intelligence Built In

The audit goes beyond scoring your own visibility. It identifies which businesses and individuals AI is recommending in your category, crawls their sites, and maps the specific signals that make them citable. By the time the walkthrough call happens, the competitive gap has a name and a reason.

A Score and a Baseline

Every report includes a current AI Visibility Score measured across four dimensions, giving you a documented starting point to build from. Ongoing score monitoring and re-audits are available as a separate add-on service for clients who want to track what changes over time as implementation work gets done.*

*Ongoing monitoring and re-audits are available as a separate add-on service.

What This Audit Is Designed To Do

The goal isn't to generate more AI visibility advice, but to produce evidence, surface patterns, and help you make better business decisions.

Measure visibility, not guess at it.

135+ responses across multiple AI systems. Findings are tied to actual prompts, actual outputs, and observable patterns rather than assumptions.

Translate patterns into decisions.

The report explains what the data means commercially and why it matters, instead of leaving you with raw outputs to interpret yourself.

Prioritize what moves the needle.

Recommendations are ranked by likely impact, visibility opportunity, and implementation effort, so you know where to start.

Leave you with a next move.

Every engagement includes a live walkthrough focused on decisions, priorities, and practical action rather than presentation slides.

How It Works

From kickoff to findings.

Step 01

Kickoff conversation

A 30-minute working session to understand your business, customers, competitors, positioning, and goals. This conversation shapes the audit and ensures the findings are grounded in your reality.

Step 02

Research and context gathering

I review your website, competitors, messaging, and any available sources such as Google Analytics and Google Business Profile data to understand how customers currently discover and evaluate your business.

Step 03

Query framework development

I build a custom prompt set based on your market, customer questions, and decision-making scenarios.

Step 04

Visibility audit

The framework is tested across major AI systems and the responses are analyzed for patterns, recommendations, citations, and competitive positioning.

Step 05

Report delivery and walkthrough

Your report arrives before our working session so you can review it first. We then spend 60 minutes translating findings into priorities and actions.

Step 06Add-On

Implementation plan

For teams that want execution guidance, a detailed implementation roadmap is delivered after the walkthrough.

Step 07Full Engagement

Re-audit & measurement

A second measurement pass quantifies what changed after implementation and what still needs work.

Pricing

Choose the level of guidance that's right for your team.

Start with the audit. Add implementation guidance or a follow-up review if you want additional support beyond the initial findings.

Audit & Recommendations

$3,500

A clear read on where you stand in AI-assisted discovery.

Includes
  • Full 135-query audit across ChatGPT, Claude, and Gemini
  • Competitive analysis of 3–5 relevant peers
  • Findings delivered in a polished HTML report
  • 60-minute walkthrough session
  • Prioritized recommendations

Implementation Plan + Follow-Up Review

$7,500

Measure what changed after the work is done.

Everything in the Implementation Plan tier, plus
  • Follow-up review after implementation
  • Reassessment of key visibility scenarios
  • Comparison reporting showing what changed
  • Analytics review where available
  • Updated recommendations based on findings
  • 60-minute review session
Optional Add-Ons

Custom Implementation

Need help executing the recommendations?

Implementation support is scoped separately based on your goals, internal resources, and technical requirements.

If you previously purchased the Implementation Plan package, that investment is credited toward the custom implementation quote.

Who This Is For

Where this work creates the most value.

AI visibility matters most when customers spend time researching, comparing, and evaluating options before they reach out. The more important the decision, the more likely AI recommendations influence who makes the shortlist.

Often a strong fit

Professional service firms where expertise drives the decision
Legal, financial, tax, and advisory practices
Consultants, agencies, and specialized service providers
Healthcare, wellness, and private practices
Interior designers, architects, and high-ticket home services
B2B companies with longer buying cycles
Businesses where trust, reputation, and credibility influence who gets contacted

May have less impact

×Businesses chosen primarily based on proximity or convenience
×Emergency services where speed matters more than comparison
×Low-cost, impulse-purchase products or services
×Businesses that already receive all the demand they can handle
×Organizations where new customer acquisition is not currently a priority

The best candidates for this work are businesses that want to understand how they appear in AI-assisted research and recommendation journeys before a customer ever visits their website.

Kate Porter, Founder of AI Consulting Desk
Marketing Strategist

Kate Porter

LinkedIn

15+ years across marketing, brand, digital, and product strategy

  • Fidelity Investments
  • Fidelity Digital Assets
  • CVS Health
  • Office Depot
  • Panasonic
About

Built by someone who has had to make the decisions.

AI visibility is the first service offered through AI Consulting Desk because it is one of the fastest-growing blind spots in modern marketing.

The underlying work is not about AI for AI's sake. It is about understanding how customers discover, evaluate, compare, and trust businesses as new channels emerge.

Before launching AI Consulting Desk, I spent more than 15 years leading marketing, brand, digital, and product initiatives across enterprise organizations including Fidelity Investments, Fidelity Digital Assets, CVS Health, Office Depot, and Panasonic.

That experience shapes how I approach this work today: measurement first, business context second, and recommendations that are designed to be implemented.

AI visibility is where the need is today. The broader mission is helping businesses understand how discovery, trust, and decision-making are changing, and what to do about it.

FAQ

Questions we hear most often.

Is this SEO?

No. There is overlap with search strategy, and good fundamentals help, but the focus is how AI systems answer real buyer questions about your category. This is not link building, keyword tracking, or technical site auditing.

Are results guaranteed?

No, and anyone promising guaranteed placement in AI recommendations is selling theater. The work identifies visibility patterns, gaps, and the signals AI systems appear to weight, so you can make informed decisions about where to invest. What you control is the inputs, not the algorithms.

What do we actually receive?

A structured report with findings, supporting exhibits, and prioritized recommendations ranked by impact and effort. You also get a live 60-minute walkthrough focused on decisions rather than slides, plus continued online access to the report.

How long does the engagement take?

Most audits run two to four weeks from kickoff to walkthrough, depending on the depth of competitive coverage and how quickly intake materials come back. Implementation planning and follow-up reviews are scoped on their own timelines once the audit is complete.

Do we need a developer to act on this?

Not for the audit itself. Some recommendations involve website or content changes that benefit from a developer or content owner, and the report is written so whoever does that work knows exactly what to change and why.

What if the work does not move the needle?

Every recommendation is evidence-based, prioritized by likely impact, and explained in business terms so you can decide what to act on. If a follow-up review shows specific changes did not perform as expected, that becomes the basis for the next round of recommendations rather than a dead end.

Can we start with the base audit and add on later?

Yes. Many clients begin with the audit, review the findings, and then decide whether to add the Implementation Plan or a follow-up review. Investment in the Implementation Plan tier is credited toward custom implementation work if you decide to scope that separately.

Start Here

Want to know if AI is recommending you?

Reach out with a few details about your business and what you're trying to learn, and we'll take it from there over email, with no grids, checklists, or slide decks involved, just a straightforward exchange about whether this kind of work makes sense for you right now.