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Different buyers,different questions.
The work underneath is one discipline. What changes is the question your customer types, and where the answer gets sourced from. A shopper asking for a product and a finance director shortlisting a supplier are answered by the model from completely different places.
Same discipline, different source
Getting named by an answer engine comes down to one thing: being present, and consistent, in the places that engine treats as independent. What changes from one business to the next is which places those are.
For a store it is review platforms and comparison articles. For software it is G2 and Capterra and the communities where people ask for recommendations. For a law firm it is professional bodies and trade press. For a plumber it is the Google Business Profile and a hundred small local mentions. Running the ecommerce playbook at the law firm produces nothing, which is the most common way an AI visibility programme quietly fails.
These five pages describe what we do differently in each. If none of them is you, the audit still applies, and the first thing it tells us is where your answers are being sourced from.
Pick the one that sounds like you
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Ecommerce
Shoppers describe a problem and get three brands back
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SaaS
Best tool for, and alternatives to, decide most deals
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B2B and professional services
The shortlist forms before anyone contacts you
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Local business
Near me now returns three names, not a map
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Small business
What a smaller budget buys, and what it does not
Common questions
Do you only work with these five?
No. They are the situations we see most often and know best, so they get their own pages. The work applies to any business people ask questions about. If yours is not listed, the audit is the same and it will show us where your answers are being sourced from.
Why does the industry change the approach?
Because it changes where the model gets its answer. Software recommendations lean on review platforms. Local recommendations lean on business profiles and reviews. Professional services lean on trade bodies and named expertise. The technical foundation is shared; where you spend the effort is not.
We fit two of these. Which page applies?
Both, and that is common. A SaaS company selling to enterprise has the software problem and the considered-purchase problem at once. The audit resolves it, because it shows which questions your buyers ask and which sources answer them.
Do you need experience in our exact industry?
For the visibility work, less than you would expect. The mechanism is the same everywhere and the research is part of the job. Where sector experience matters is in the writing, which is why we work from your experts rather than around them.
Find out where AI sends your customers today.
We run your brand through the answer engines your customers use, then send you the transcript of what they say about you. Free, and yours to keep whether or not we work together.