Traditional search
A page of options
estate planning attorney near me
1
2
3
- 01Enter keywords
- 02Scan links
- 03Open several websites
- 04Compare options
- 05Choose a business
Visibility means appearing where someone can find and compare 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 walk you through what we find, what it means for your business, and where the opportunities are.
People increasingly ask an assistant a full question instead of typing keywords, and the answer names two or three businesses rather than ten.
Search visibility helps someone find options, while AI visibility influences which options are presented as credible enough to consider.
The question is no longer whether your website ranks. It is whether AI systems understand, trust, and recommend you.
The businesses earning those mentions are rarely the biggest ones. They are the ones described clearly, referenced consistently, and easy to identify across the web.
A search engine hands you ten links and lets you sort them out. An assistant gives you one answer, which means it first has to decide what to trust.
These neutral interface diagrams illustrate the difference in behavior; they do not represent customer results.
AI answers are becoming a new layer of discovery, sitting above search rather than replacing it.
The two disciplines overlap, and neither makes the other obsolete, but the assistant is asking a more human question: is this business clearly described, and do other trusted sources agree it is real and good at what it does?
A structured sample of the questions your buyers actually ask, measured on every major assistant.
Every answer from ChatGPT, Claude, and Gemini is captured in full.
Mentions, position, prominence, and sentiment are scored response by response.
The businesses recommended instead of you, and how consistently they appear.
The directories, reviews, and third-party references behind each recommendation.
Cross-engine patterns, prioritized, with the evidence attached.
Each engine is measured separately, then compared, so structural patterns can be told apart from engine quirks.
The businesses assistants do recommend are examined alongside the sources supporting their visibility.
Where available, Google Analytics and Business Profile data calibrate the audit against how people already find you.
Important claims get a closer research pass before they become findings or recommendations.
Before any audit runs, I spend 30 minutes learning how your clients actually make decisions, and that conversation shapes the query framework.
Measurement tells me where you appear. These lenses explain why, and where the opportunity is.
Where your business appears, how often, and which buyer questions trigger a recommendation.
Which competitors AI recommends, and the patterns that keep them consistently visible.
Which external sources, directories, reviews, and third-party references AI systems draw on.
Together, the lenses separate a visibility gap from a positioning problem or an authority problem, so the recommendation addresses the right cause.
Raw AI answers become business intelligence in four moves, each producing something you can look at.
You don't just get the score. You get the explanation.
Each finding arrives with the evidence behind it, so you can see which question produced it, which engine answered, and who was named instead.
That interpretation is at the heart of every engagement, while the depth of support you choose from there is entirely up to you.
Unlike most consultants in this space, I show my work, including the redacted excerpts below from a real engagement I delivered for a Massachusetts-based service practice.
Illustrative distribution of cited source types within a redacted category sample.
Your report, findings, recommendations, and baseline live in a private online space you can revisit and share with the people doing the work.
Return to the baseline, review the evidence behind each finding, and share prioritized recommendations with your team or implementation partner.
AI visibility is a new field, and most of the advice circulating is recycled SEO with new branding. Here's what sets this practice apart.
From the first form to the final report, here is what to expect.
Not every business will get the same value from this work. Before we talk pricing, it's worth being clear about who this is built for, and who it isn't.
AI Consulting Desk exists because the AI visibility question is real, the answers most consultants are giving aren't, and someone has to do this work honestly.
I built a multi-engine query pipeline that captures hundreds of responses across ChatGPT, Claude, and Gemini and aggregates responses for structured analysis, a competitive citation framework drawing on B2B intelligence techniques, and a production pipeline that turns raw audit data into a polished deliverable in days. The engineering isn't decoration; it's what makes the methodology consistent across clients.
I'm Kate Porter, and AI Consulting Desk is my practice. I bring more than 12 years of marketing and strategy experience from Fidelity Investments, Fidelity Digital Assets, CVS Health, and Office Depot, including campaigns recognized by the Obama White House (#CVSQuits) and ranked first in the App Store (Elf Yourself). After working in crypto since 2014 and with AI tools since the early GPT days, I see AI visibility as the next channel to emerge and one that deserves a rigorous methodology.
Choose the depth that fits the decision in front of you. Each engagement is fixed-scope, evidence-led, and clear about what comes next.
Need me to execute the recommendations directly? Custom Implementation is scoped per engagement; reach out to discuss. (Action Plan increment credits toward custom quote if previously purchased.)
The questions that come up most often, answered directly. If yours isn't here, the intake form has a place to ask.
The intake form takes about five minutes, and if the engagement looks like a fit, I will be in touch within one business day.
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