Get your rental brand into AI answers

By the DayRunner team · 7 November 2026

AI assistants answer from what they can read and cross-check. To get your rental brand into those answers, make your basic facts identical everywhere, mark them up with structured data, publish pages that answer customer questions in the first two sentences, and build reviews on independent sites. An llms.txt file helps at the edges. None of it is a trick. It's making the true picture easy to find.

What an assistant needs to name you

When someone asks "which car hire at Christchurch Airport has the best reviews?" or "cheapest campervan from Queenstown with unlimited km?", the assistant needs three things about you:

• Who you are and where. Name, depot address, airport, hours, what you rent.
• Proof. Ratings and reviews it can find on sites other than yours.
• A clear answer. A page that says the thing plainly, not buried in a brochure.

If any of these are missing or contradict each other, it's safer for the assistant to name someone else.

Step by step

1. Write one facts sheet

   Every fact about your business, in one place, as the master copy.

2. Make every listing match it

   Your website, Google Business Profile, broker listings, directories.

3. Add structured data

   Mark up your depot pages with the AutoRental type in JSON-LD.

4. Write answer-first pages

   One page per real customer question, answered in the first two sentences.

5. Build independent reviews

   On the sites customers and assistants already trust.

6. Add llms.txt

   A short Markdown guide to your site for AI tools.

7. Check monthly

   Ask the assistants and log what they say.

Step 1 and 2: the facts sheet

Inconsistent facts are an easy way to get described wrongly. One listing says the depot opens at 7, another says 8. One says "free airport shuttle", another doesn't mention it.

Copy this sheet. Fill it once, then check every listing against it.

Desk type matters more than you'd think. In the Rate Pulse sweep, in-terminal brands averaged a slightly higher rating than shuttle-bus brands at most airports. If your listings disagree about where to find you, both customers and assistants get it wrong. Terms like insurance excess and one-way fees are what customers ask assistants about, so state them plainly.

Step 3: structured data

Structured data is a block of JSON-LD in your page's code that states your facts in a form machines read directly. Google's local business guide uses JSON-LD in its examples and says to use the most specific business type you can.

For a rental depot, that's AutoRental, which schema.org defines as a car rental business, a type of LocalBusiness. The properties worth filling:

Google lists name and address as required, and the rest as recommended.

Leave out your own star rating. Google's review snippet guidelines say that when a business controls the reviews about itself, its LocalBusiness or Organization pages aren't eligible for star review features. Reviews belong on independent sites.

One page per depot, each with its own block. An operator with an Auckland and a Christchurch depot needs two.

Step 4: answer-first pages

A page that answers a question in its first lines is the easiest to quote. Write one page per question customers really ask:

• "Do you have an airport desk at Queenstown?"
• "What's the excess and how do I reduce it?"
• "Can I drop off in Christchurch if I pick up in Auckland?"
• "Is there a minimum hire length over Christmas?"

Answer in two sentences. Then give the detail. Add a short FAQ at the end. Every page on this site follows that shape, if you want an example.

Step 5: reviews on independent sites

Ratings on booking sites are public and specific. Here's the top of the rating table at Christchurch in the Rate Pulse sweep of 7 Nov 2026, from rentalcars.com reviews:

That's the kind of public, countable evidence a brand can point to, and that anyone, person or assistant, can check. A high rating from thousands of reviews is harder to argue with than a line on your own website.

To build yours:

• Ask for reviews where you can, such as your Google profile, with one simple link at drop-off. Broker reviews come from the broker's own customers, so there the counter experience is what you control.
• Reply to bad reviews plainly and fix the cause. See how to improve car hire review scores.
• Watch your sub-scores. Pick-up time was the biggest gap between top and bottom brands at most airports in the sweep. More in ratings vs price and supplier rating.

Step 6: llms.txt

llms.txt is a proposed standard from Jeremy Howard, published in September 2024. It's a Markdown file at your site's root (yoursite.com/llms.txt) that gives AI tools a short, curated guide to your site.

The format is simple:

• An H1 with your business name. That's the only required part.
• A short summary in a blockquote.
• H2 sections listing links to your key pages, each with a short note.

For a rental operator, list your depot pages, terms and conditions, insurance and excess page, FAQ, and fleet page. Keep it to the pages that hold facts. This site publishes one, with a cite-ready facts section built from its pages.

It's a proposal, not a rule every assistant follows. Treat it as a cheap extra, not the main event.

Step 7: check and log

Once a month, ask the main assistants the questions your customers ask. Log the answers.

When a fact is wrong, find where it came from. It's usually an old listing you forgot about.

A worked example

Say you run a 30-car shuttle-bus brand at Queenstown. You ask an assistant "car hire at Queenstown Airport with a free shuttle". It names three brands, not yours. It describes one competitor's shuttle wrongly too, so it's guessing.

You check your listings. Your website says the shuttle runs every 15 minutes. Your broker listing says "off airport" with no mention of a shuttle. Your Google profile has last year's hours.

You fix all three against the facts sheet, add AutoRental structured data to your depot page with the right hours, and write a page called "How our Queenstown Airport shuttle works" that answers it in two sentences. Next month you ask again and log the result.

This example is hypothetical. The method is the point: one set of facts, the same everywhere, easy to read.

Rate Pulse shows how your brand's rating, desk type and price compare with every competitor at your airport. It's a good way to see what customers, and assistants, can see about you.

Questions