How RentalHo won industry's strategic prompts by closing gaps found through prompt tracking

RentalHo has two sides to its business. It rents its own homes to guests, and it manages properties for other owners. Two different audiences, and either one can reach its decision after asking an AI assistant.

A guest might ask where to stay in one of the areas RentalHo operates in, or whether it is better to book directly with the operator instead of going through Airbnb or Booking.com. An owner might ask who should manage their apartment. On that second side, RentalHo was especially focused on Spanish-speaking owners and investors, including those in Mexico and similar markets.

Booking direct has a concrete value for both sides. The guest avoids the service fee that Airbnb or Booking.com adds. RentalHo avoids the commission those platforms charge the operator. In management, the aim is for the owner to contact RentalHo directly, without another intermediary.

The difficulty was appearing in those answers. Having homes in the right areas, or describing the management service on the website, was not enough. RentalHo needed the assistants to understand what the company does and to include it when the question was relevant.

RentalHo did not need more content simply to publish more. It needed to know what was happening when a potential guest or owner asked about a company like theirs.

Which companies was the AI recommending? Which sources was it drawing on? On which questions did other operators appear while RentalHo was left out?

Reddlix works on exactly that. It makes it possible to observe how assistants present a brand across the questions that affect its business, and to turn that into concrete decisions about content and visibility.

For RentalHo, those questions belonged to two buyer journeys. The first began with a guest looking for a place to stay in specific locations. The second, with an owner looking for someone to trust with their apartment.

Reddlix followed both through Lead Prompts, the queries a brand wants to monitor and to be recommended in. The analysis showed the citation gaps: questions where an assistant gave a confident answer, cited other sources, and did not include RentalHo.

The difference is important. Without that analysis, the team could only produce content and wait. With it, they could see which questions were leaving the company out and what information needed to be reinforced.

The pages built for RentalHo do not try to compete as a generic pile of articles. Each one answers a decision the customer already has in mind, and many of them address the specific local areas where RentalHo operates.

When a page takes on a real concern that a guest or owner is weighing, whether that is booking directly rather than through Airbnb or Booking.com, or a regulatory matter such as DET-licensed holiday homes, it does more than inform. It establishes RentalHo as a reference on that subject, and that is what earns an assistant's trust and a place in its answer.

The value of these pages is not in describing an area or repeating tourist facts. It is in giving an assistant enough to answer with judgment when someone asks for a recommendation, and in doing so from the experience of the operator that works on the ground.

On the management side, the question is different. An owner is not looking for an available night. They are assessing whether RentalHo can operate their property, look after guests, and take responsibility for what happens after the keys are handed over.

Reddlix brought the gaps it detected into the Action Center, where they become content that is ready to review. RentalHo approves what is published. In this way the work is never separated from the business: each page has to help explain why RentalHo is a valid option, for a direct booking or for managing a property.

Within the first months of working with Reddlix, ChatGPT began to send more traffic, including traffic from countries such as Mexico related to property management. RentalHo's reach in Spanish-speaking management markets doubled.

The screenshots show how that change is reflected in the answers.