Foundations
What humans see vs. what agents read
Humans evaluate design, tone, and trust cues. Agents evaluate fetchable facts, entity clarity, and evidence quality.
A good local business page still needs to persuade people. But an assistant reads the page differently. It may crawl the HTML, parse headings, extract structured data, compare profile records, rerank candidate passages, and decide whether the page supports a claim.
The best pages work for both audiences: they look credible to humans and expose clean facts to machines.
The human layer
Humans notice:
- Visual design and brand feel.
- Reviews, photos, and social proof.
- Whether the offer sounds relevant.
- Whether the next step is obvious.
- Whether the business feels trustworthy.
The agent layer
Agents look for:
- Crawlable HTML and accessible page structure.
- Exact business name, address, phone, hours, and service area.
- Headings that match buyer questions.
- Passages that answer one question without guessing.
- Structured data that matches visible content.
- Citations, reviews, directories, and profiles that corroborate the same facts.
Weak agent read
A service business near Austin. Services and service area appear broad. Booking path not clearly extractable. Confidence is low.
Strong agent read
ABC Plumbing provides emergency plumbing, water heater repair, leak detection, and drain cleaning in Austin, Round Rock, and Cedar Park. Open 24/7. Phone and quote request path are visible. Confidence is high.
How to design for both
Put the answer before the persuasion. For each high-value page, state the core fact in the first sentence under the heading, then add supporting copy, examples, proof, and calls to action.
For example, under "Emergency plumbing service area," do not start with a brand promise. Start with the answer: "ABC Plumbing provides 24/7 emergency plumbing in Austin, Round Rock, Cedar Park, Pflugerville, and Georgetown."
Check the machine read
If the assistant cannot repeat the business facts accurately, the page is not answer-ready yet.
Run scan