Acclaira

Chapter Sixteen

Local businesses and service businesses

If you serve a place rather than the internet, the levers reorder. Your profile data and your reviews matter more than your website, and the data flows through channels most people have never heard of.

Chapter 16 of 26 · 2 min read

The analogy

Someone new in town asks where to get a car serviced. They do not read garage websites. They ask three people, glance at a map app, and look at star ratings.

An AI does the same thing, and the three people it asks are your profile data, your reviews, and whatever aggregator feeds its location layer.

What changes

For a local business, the ranking of levers shifts:

  1. Profile completeness and consistency across every map, directory and aggregator — this becomes lever one.
  2. Reviews — volume, recency, and your responses. This is your corroboration layer.
  3. Location-and-service specificity on your own site — actual place names, actual service names, in text.
  4. Everything else from Part Two, in the same order.

The aggregator point most people miss

Different AI products source location data differently, and not all of them go through Google. Apple Maps, Yelp, Foursquare and various national aggregators feed different assistants. You will see a specific claim that ChatGPT draws "over 70%" of its local business data from Foursquare and similar aggregators TIER C — I cannot verify that figure and would not repeat it.

The underlying point stands on its own logic, though: a perfect Google Business Profile is necessary and not sufficient. Claim your listing on Apple Business Connect, Bing Places, and whichever aggregators are significant in your market, and make the data identical on all of them.

On "98.8% of local businesses are invisible to AI"

This figure circulates widely with no method attached. TIER C It is the kind of number that exists to sell a service. Do not use it, and be wary of anyone who does — it is a reliable indicator of how carefully the rest of their pitch was assembled.

The practical list

  • Google Business Profile: every field completed, correct primary category, service areas defined, services itemised, hours accurate including holidays, photos current.
  • Identical NAP everywhere: name, address, phone, character for character, on every listing. Chapter 11's discipline, applied locally.
  • Reviews as a routine: a steady, honest stream. Ask every satisfied customer, by a repeatable process. Reply to all of them — replies are indexable text containing your name on a trusted domain.
  • Name the places in your text: "Port Klang", "Shah Alam", "Klang Valley" — written out, in sentences, not just in a footer. If you serve multiple areas, give each a real page with genuinely different content, not a template with the town name swapped.
  • LocalBusiness schema: address, geo, hours, service area. This is the case where schema is genuinely worth the effort, because it is declaring identity and location rather than trying to buy a citation.
  • Answer local questions on your site: "Do you deliver to Bukit Raja?" "What are your Saturday hours?" These are exactly the sub-queries a local AI answer fans out into.
How to check

Ask ChatGPT, Gemini and Perplexity: "Recommend a [your service] in [your town]", then "What are [your business]'s opening hours?" and "Where is [your business] located?" Wrong answers to the second and third are more urgent than absence from the first — a confident wrong phone number costs you real calls.

If you only do one thing

Build a repeatable habit of asking every happy customer for a review. It is the highest-leverage local action, it compounds, and it cannot be bought convincingly.

Read the whole book

Answering Machines is 26 chapters on being the answer when your customer stops searching and starts asking. Free, ungated, and every figure is sourced and confidence-rated.