Every category has its own
way of asking AI.
A shopper asking for the best moisturizer, a CFO shortlisting a corporate card, and a patient comparing hospitals are all answered by the same engines - from completely different sources. GeoGenie runs one framework, tuned to how buyers in your industry actually ask.
Pick your industry,
see the playbook.
E-Commerce
Catalog-scale GEO for DTC, marketplace and retail brands - PDP schema, comparison surfaces, and the review sources AI actually cites.
View the E-Commerce playbookSaaS
Pipeline-weighted GEO for horizontal, vertical and developer-tools SaaS - buyer-prompt page architecture and the communities models cite.
View the SaaS playbookEnterprise
Portfolio-level GEO governance for global brands - hundreds of properties, per-brand execution, one dashboard, enterprise security.
View the Enterprise playbookStartups
Early-stage GEO: narrow wedge authority, 30-80 high-intent pages, and founder-led signal in the communities models cite.
View the Startups playbookHospitality
Destination and traveler-intent GEO for hotel groups, restaurants and DMOs - schema depth, intent pages, and travel-media citations.
View the Hospitality playbookHealthcare
Compliance-first GEO for health systems, digital health and medtech - clinical-grade content, medical reviewer workflow, accuracy monitoring.
View the Healthcare playbookFinance
Regulated GEO for banks, fintechs, insurers and wealth platforms - disclosure logging, audience segmentation, jurisdictional scoping.
View the Finance playbookLocal Businesses
Service x neighborhood x intent GEO for single-location, multi-location and franchise brands - NAP, profiles, reviews and local citations.
View the Local Businesses playbookOne framework underneath
every industry playbook.
Whatever the category, being recommended by an AI engine comes down to the same three layers - what you own, how much of the question space you cover, and who else vouches for you. The tactics change per industry; the structure doesn't.
Trust Layer
Your owned surfaces made retrieval-ready: schema, entity clarity, answer-first formatting, and the structured fields AI engines read before they recommend anyone.
Scale Layer
One focused page per real buyer question - by persona, use case, neighborhood, or scenario - prioritized by revenue-weighted opportunity, not vanity volume.
Signal Layer
The off-site citation supply chain each industry's models actually trust: review platforms, communities, trade press and publisher placements, measured end to end.
Not sure where your category stands in AI answers?
Run a free AI visibility audit on your domain. We'll show you which prompts your category is losing, who is being recommended instead, and what it would take to be in the answer.