Start with the decision facing a founder, remote worker, or office manager. The page needs to help answer: which workspace fits this neighborhood, team size, budget, schedule, and amenity need? Check whether that requirement is present on your site and consistent with the independent pages cited in the answers you test.
Keep the important product and policy details in visible text. Google’s guidance for AI features says established SEO requirements still apply; no special AI schema is required. This does not guarantee inclusion in any assistant’s answer.
What AI assistants need before they recommend you
The page has to answer the retrieval problem first: which workspace fits this neighborhood, team size, budget, schedule, and amenity need? If that answer is spread across ten thin pages, trapped in JavaScript, or hidden behind vague marketing language, inspect what the retrieval path actually exposes before commissioning more content.
- Location pages with neighborhoods, transit, parking, and nearby landmarks.
- Plan pages that explain hot desks, dedicated desks, private offices, day passes, and team suites.
- Amenity pages for phone booths, meeting rooms, event space, podcast rooms, lockers, coffee, and 24/7 access.
- Decision guidance by user type: solo worker, startup team, hybrid company, enterprise satellite, creator, or event host.
- Third-party proof from maps, reviews, local lists, community partners, and member stories.
Prompts this page should be able to answer
These examples are generated hypotheses, not observed customer prompts or demand volumes. Check the actual questions with Google Search Console, Ahrefs or Semrush related keywords, and Aiso prompt data before you scale the cluster.
- best coworking space in Shoreditch for a startup team
- day pass coworking space near me with phone booths
- coworking space for remote workers in Tel Aviv
- flexible office for 12 person team in Brooklyn
- coworking space with podcast room and meeting rooms
What usually gets missed
Check whether a visitor can understand the category, restrictions and evidence without already knowing the brand. The following gaps are audit candidates, not a measured failure rate for the industry.
- Pricing hidden behind forms with no public range or plan explanation.
- Amenities shown in photos but not crawlable text.
- One generic location page for many very different neighborhoods.
- No page for team-size or use-case prompts.
- Community claims without proof: events, members, partners, or actual programming.
The source pages to build first
Start with the existing page that answers the buyer decision. Add a separate page only when the requirement needs a genuinely different answer; do not create near-duplicates for every filter combination.
- Neighborhood pages for each location with transit and nearby demand anchors.
- Plan pages for hot desk, dedicated desk, private office, day pass, meeting rooms, and event space.
- Use-case pages for startups, remote workers, hybrid teams, creators, and enterprise teams.
- Amenity pages for the filters people actually ask about.
- Comparison pages against working from home, coffee shops, serviced offices, and traditional leases.
A quick audit
Open your most important category or location page and ask five questions:
- Can an assistant say exactly what you are?
- Can it say where or when you are relevant?
- Can it compare you against alternatives?
- Can it cite a fact, number, review, or proof point?
- Can it verify the same claim somewhere besides your site?
If any answer is unclear, that is your first content brief.
Quick wins
- Write one answer-first page for each workspace plan.
- Add team-size guidance to private-office and meeting-room pages.
- Turn photos of amenities into explicit text and schema-supported page content.
- Create neighborhood pages that say who the location is best for.
- Track prompts combining neighborhood plus use case, not only 'coworking near me'.
How to measure it
Use a prompt set, not a screenshot. Prioritize questions your product can satisfy where competitors are named without you. Run the category prompts repeatedly across ChatGPT, Gemini, Claude, and Perplexity. Track whether your brand is mentioned, whether you are cited, which pages are used as sources, and which competitors appear beside you. Then inspect relevant gaps. A missing citation alone does not establish why a source was omitted.
Aiso is built for that workflow. It tracks the prompts buyers ask, measures visibility across AI engines, and shows which source pages or third-party mentions are missing. If you already have Google Search Console, Ahrefs, or Semrush exports, use them to seed the prompt list. Then let the AI-answer sampling tell you what actually gets recommended.
Measure the commercial result separately
Keep named recommendations, source citations and human referral sessions in separate columns. Bot fetches are not people or answer impressions. Record qualified enquiries and completed purchases separately, and do not call a before-and-after association incremental revenue without a credible comparison.
References
- Aiso / Search Engine Land: Bing rankings and ChatGPT visibility study.
- Princeton and IIT Delhi: Generative Engine Optimization research.
- Aiso guide: LLM ranking factors.