Knowing your visibility is only the first step. Recommendations tell you what you can do to be recommended more often by AI platforms.
How MARA creates your recommendations
MARA looks at your prompts with the lowest visibility.
For each of them, MARA checks which hotels are recommended instead and which sources AI platforms read.
MARA reviews your website and your main listings, such as Google, Booking.com, TripAdvisor and Expedia.
MARA identifies what's missing and checks each finding before turning it into a recommendation.
Recommendations are based on your data from the last 7 days.
Types of recommendations
Listings: information missing or outdated in listings that AI platforms read often.
Citation gaps: pages that AI platforms read often for your prompts but that don't mention your hotel.
Content gaps: information guests look for that's missing on your website.
Technical: issues that make your website harder for AI platforms to read.
What each recommendation contains
What to do: the action in one sentence
Why: which prompts it affects and why it can improve your visibility
Ready-to-use content where it helps, for example text you can copy into your website or listing
Recommendations that affect many prompts usually have more impact than those that affect a single prompt.
How often recommendations are refreshed
With a paid plan, your recommendations are refreshed every month. During the free trial, they're created once, based on your initial data.
Review before you implement
Recommendations are generated with AI and checked automatically, but you know your hotel best. If a recommendation doesn't apply, for example because the information already exists, dismiss it.