Imagine a plumber with a page titled “Emergency Plumbing in Our City.” This is a fictional example; it does not describe a RankingLocal customer, a real price, or an observed ChatGPT answer. The page gets visits, but its first paragraphs say only “trusted, reliable, fast.” A customer still cannot tell what happens when they call.
Improve the page for the customer
The business could explain which neighborhoods it serves, what information it needs on the phone, how emergency call-outs are scheduled, and what factors change a quote. If it has a current, documented price range or response target, it can publish that with conditions. If it does not, it should say how a quote is prepared rather than inventing a number.
That makes the page more useful whether a visitor arrives through ordinary search, an AI answer, or a direct link. It also gives search systems more accurate visible text. Google's AI features guide says the SEO fundamentals still apply and there is no special AI markup requirement.
Keep the measures separate
The plumber can check whether Google indexed the page and whether relevant queries led to clicks. The business can count qualified calls and jobs booked. To assess AI mentions, it would save responses to a defined set of prompts with dates and locations. These measures cannot be inferred from each other, and an updated paragraph cannot be credited with a sale without an appropriate lead record.
Structured data may describe the business accurately, and robots.txt rules can affect crawler access. Neither guarantees that any search product will recommend it. The Schema Generator and Robots Check help investigate those narrower conditions.
The practical lesson is to make one real service page helpful and verifiable, then observe what happened. Avoid building many near-identical city pages or quoting fictional prices as if they were customer evidence.