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.
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.
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.
High-intent research is increasingly beginning inside AI assistants before buyers ever visit a company website.
More than one-third of U.S. adults now use ChatGPT, making AI recommendations part of the buying journey.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.

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.
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.
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.
135+ responses across multiple AI systems. Findings are tied to actual prompts, actual outputs, and observable patterns rather than assumptions.
The report explains what the data means commercially and why it matters, instead of leaving you with raw outputs to interpret yourself.
Recommendations are ranked by likely impact, visibility opportunity, and implementation effort, so you know where to start.
Every engagement includes a live walkthrough focused on decisions, priorities, and practical action rather than presentation slides.
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.
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.
I build a custom prompt set based on your market, customer questions, and decision-making scenarios.
The framework is tested across major AI systems and the responses are analyzed for patterns, recommendations, citations, and competitive positioning.
Your report arrives before our working session so you can review it first. We then spend 60 minutes translating findings into priorities and actions.
For teams that want execution guidance, a detailed implementation roadmap is delivered after the walkthrough.
A second measurement pass quantifies what changed after implementation and what still needs work.
Start with the audit. Add implementation guidance or a follow-up review if you want additional support beyond the initial findings.
A clear read on where you stand in AI-assisted discovery.
The audit, plus a specific plan for the work that follows.
Measure what changed after the work is done.
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.
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.
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.

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.
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.
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.
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.
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.
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.
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.
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.
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.