AI positioning of a coworking space

he “positioning” of coworking spaces is changing rapidly: more and more decisions are starting with a conversation with AI (“I'm looking for a coworking space in Lisbon for a team of 12,” “a pet-friendly space with meeting rooms and parking,” “one for startups with a real community,” etc.). And if your brand is not well described, well structured, and well distributed on the internet, AI will either not recommend you at all... or recommend you poorly.

In this keynote, Jaime explains what it means to position a coworking space in the age of AI: how to improve your presence so that models find you, understand you, and cite you accurately; what signals carry weight (local listings, reviews, data consistency, useful content, structure, authority, mentions); and what specific actions an operator can take to gain visibility without going crazy with technological “smoke and mirrors.”

Objective

To provide a clear and practical framework for operators to understand how discovery works in an AI-driven world, what levers drive the visibility of a coworking space in searches and generative responses, and what minimum plan they can implement to improve their positioning and recruitment.

Key points

The presentation should help to:

• Understand the game changer: from “SEO and ads” to conversational search and generative responses (what changes and what stays the same).

• Diagnosis of a coworking space's digital footprint: what sources AI consults and why sometimes “you don't exist” (or appear poorly).

• Signals that carry the most weight (with examples): local listing, reviews, NAP consistency, directories, website, FAQs, content, mentions, photos, authority.

• Structure and clarity: how to describe your product (offices, flex, rooms, services, access, policies) so that it is “machine-readable” and unambiguous.

• 30–60–90-day action plan: 10 specific actions to improve visibility and quality of recommendations (quick wins + groundwork).

• Typical mistakes: generic content, vague promises, inconsistent data, too many poorly maintained channels, “posting for the sake of posting.”