A prospective customer may learn about your business before opening your homepage. What would they hear?
Imagine a founder looking for an accountant who understands small businesses with customers in more than one country. They could open ten tabs and compare service pages, or they could ask an assistant to narrow the options and explain what to ask next. The accountant may still receive the enquiry. The first comparison, however, took place elsewhere.
This is relevant to schools, clinics, consultants and software companies as well as shops. People want to know whether an organization serves their situation, what the process involves and what happens after they make contact. If the answers are scattered across an old homepage, a social post and a contact form, the potential customer has to assemble the story alone.
What the traffic data says
Cloudflare's September 2026 analysis reported that daily requests from AI agents on its network grew by more than 1,700% over the preceding year. That is a measure of requests on Cloudflare's network, not the share of qualified buyers for an individual business. Automated traffic includes different purposes: search indexing, training collection and agents retrieving information or attempting a task on a person's behalf.
Adobe's 2026 holiday forecast reported that AI-driven visits to retail websites grew 127% year over year in August 2026. This is growth in visits from that source, not a claim that AI accounted for 127% of visits or produced a particular sales conversion rate. The figures suggest changing paths to discovery; they do not tell a business whether its own enquiries improved.
What a potential customer actually needs
Try describing a business without its own internal vocabulary. What does it do? For whom? In which places? Under what conditions? What happens after someone gets in touch? A phrase such as “end-to-end transformation” may sound polished while leaving those questions unanswered.
For a school, the missing detail could be programme eligibility or the steps before an application is reviewed. For a clinic, it could be whether a particular appointment can be requested online. For a service team, it might be what information a prospective client should prepare. An assistant can only work with what is accessible and reasonably clear; a human visitor has the same problem when the details are absent.
Google's guidance for generative search features still emphasizes foundational search practices: crawlable pages, helpful original content, clear text, and accurate structured information. It does not promise a special file or keyword formula that guarantees placement in AI answers. Making a page clearer is valuable even if no assistant ever reads it.
Five questions to test in five minutes
- What is the offer? Could someone unfamiliar with the company explain the service after reading one page?
- Who is it for? Are the intended customers and important exclusions stated plainly?
- Where and when is it available? Are locations, hours, delivery areas and eligibility current?
- What happens next? Does a form lead to a call, review, booking or waiting list, and is that expectation explained?
- Are the public answers consistent? Does the business listing, social profile and website describe the same offer?
Ask a person outside the team to answer those questions using only public pages. Note what they infer incorrectly. That is often a better first improvement than buying another visibility tool.
Discovery has an operational second half
Even excellent public information cannot help if the enquiry then disappears into an inbox. A school must route an admissions question; a clinic must receive an appointment request; a service firm must show who owns a new lead and what is still missing. The promise people read and the process they experience should agree.
I am exploring a Business Discoverability Audit as a possible service concept: review the questions a buyer would ask, compare public answers across channels, and then examine the handoff after contact. It is an idea under exploration, not a product with measured outcomes or a guarantee of AI placement. My Business Systems Lab explores the operational side through early workflow prototypes.
Start with one question customers ask repeatedly even though your team believes the answer is on the website. Why did they have to ask?
Work with Massoda
I help organizations clarify the software and workflow behind an enquiry, from the first useful answer to the next reliable action. If you have a process worth examining, email hello@massoda.me.