Customer Question Research
Build a useful prompt set around the questions, comparisons, recommendations, and follow-up turns real customers are likely to use.
AI Search for Businesses
Customers are starting to ask ChatGPT, Google AI, Gemini, and Perplexity who to hire, where to go, and what to buy. I help businesses understand how they show up, where competitors are winning, and what can realistically improve.

Why it matters
That can be a homeowner asking who to call, a traveler asking where to go, or a buyer comparing a short list of businesses. The question is no longer only “where do you rank?” It is also “does the system know enough about you to include you?”
It matters whether your business is described accurately, appears for the right needs, survives follow-up questions, and is supported by sources a customer can use to keep researching.
AI Search Services
Build a useful prompt set around the questions, comparisons, recommendations, and follow-up turns real customers are likely to use.
Compare your brand mentions, competitors, recommendation context, linked sources, accuracy, and gaps across relevant AI experiences.
Identify the owned and third-party pages that shape answers and where stronger or more accurate information may be needed.
Make it clearer who you are, what you offer, where you operate, and which facts should be represented consistently across the web.
Improve pages and create resources that answer useful questions better than generic, interchangeable content.
Check crawlability, indexability, rendering, internal linking, structured data accuracy, and other foundations that affect discovery.
Measurement
Results can vary by model, date, location, personalization, wording, and conversation history. A useful benchmark uses a defined methodology instead of pretending a small sample is universal truth.
SEO + AI Search
Useful content, technically accessible pages, clear business information, credible third-party signals, and a site that is easy to understand still matter. AI search adds new questions to measure—it does not erase the basics.
Indexable pages, useful original content, clear site structure, internal links, accurate facts, and credible brand signals.
Which questions trigger recommendations, which sources influence answers, how competitors appear, and what happens across follow-up turns.
No special file, schema type, or content formula guarantees inclusion. Tactics should be tested against the platform and business—not repeated as folklore.
See Google Search Central’s current guide tooptimizing for generative AI features.
A Good Fit
AI Visibility Process
Define the audiences, needs, and decisions worth researching.
Run a documented prompt set across relevant platforms.
Study competitors, citations, gaps, inaccuracies, and patterns.
Prioritize content, technical, entity, and authority improvements.
Repeat the benchmark and connect visibility to business data.
Frequently Asked Questions
It is the work of making a brand and its information easier to discover, understand, verify, and accurately represent in AI-assisted search experiences. It includes research and measurement specific to AI answers, while building on technical SEO, useful content, clear entity information, and trusted web signals.
There are new interfaces, behaviors, and measurement challenges, but much of the foundation is shared. Google explicitly says its established SEO best practices remain relevant to its generative AI features. Other platforms have different systems, so I evaluate them directly rather than assuming one tactic works everywhere.
No. AI answers are variable, personalized, and controlled by the platforms producing them. The responsible goal is to improve the information and signals we can influence, measure visibility across a defined prompt set, and learn which sources and gaps appear to matter.
Measurement can include brand mention rate, competitive share of voice, linked or cited sources, answer accuracy, sentiment, recommendation context, prompt categories, and whether the brand persists as a conversation becomes more specific. These metrics should be paired with website, search, referral, and conversion data where available.
There is no universal special markup that guarantees AI visibility. Google states that no special schema or AI text file is required for its generative search features. Valid structured data and clear machine-readable information can still support normal search understanding when they accurately match visible page content.
It is most useful when people are already using AI tools to compare, research, plan, or ask for recommendations in your category—and when the business has the ability to improve its website, content, brand information, or broader web presence based on what the research finds.
AI Search Visibility
We can start with the questions your customers ask, establish a useful baseline, and turn the findings into a practical plan.
Talk About Your Business