Industries

47 industry pages. Each has a table of one to three agencies, with a use-case split for that industry.

47

Industries

• Healthcare

  Health systems, services, and health brands whose buyers now ask AI who to trust.

• Medical (clinics & hospitals)

  Provider organizations where AI shortlists now sit beside reputation and local search.

• Dental

  Practices that still live on local search, and now on AI “best dentist” answers.

• Biotech

  Science-led companies that need accurate AI descriptions and serious authority content.

• Pharma

  Regulated products where a wrong AI answer is a brand-risk event.

• Manufacturing

  Industrial sellers whose buyers now shortlist manufacturers inside AI tools.

• Industrial

  Heavy industry, suppliers, and B2B industrials adjacent to manufacturing.

• HVAC

  Contractors and home-services firms competing in both Maps and AI recommendations.

• Construction

  General contractors and builders who now appear, or vanish, in AI vendor shortlists.

• Architecture / AEC

  Design firms that get shortlisted when a developer asks an AI agent for architects.

• Real Estate

  Developers, brokerages, and property brands competing for AI recommendations.

• Law Firms

  Practices whose thought leadership and AI answers now shape intake.

• Legal Tech

  Software for lawyers, comparison pages, integrations, and LLM product truth.

• Fintech

  Financial-technology firms that need accurate AI answers and qualified pipeline.

• Banking

  Institutions that cannot afford hallucinated product facts in AI answers.

• Insurance

  Carriers and comparison brands whose AI answers must stay factually tight.

• Wealth Management

  Advisory brands that win on trust, thought leadership, and clean entity signals.

• Accounting

  Accounting firms whose buyers still start with who they should hire.

• Private Equity

  Funds and portfolio brands that need executive-level narrative in AI search.

• B2B SaaS

  The most crowded GEO market, pick by stage, KPI, and whether you need leads, pipeline, or LLM share of voice.

• Cybersecurity

  Security brands that must be cited accurately in a paranoid buying committee.

• HR Tech / Staffing

  Recruiting, HR software, and staffing firms whose buyers ask AI who to use.

• Logistics

  Operators and software whose procurement teams now start in AI chat.

• Supply Chain

  Software and operators adjacent to industrial buying committees.

• Ecommerce

  Catalog businesses whose GEO lives in templates, categories, and merchandising.

• Retail

  Multi-location and omnichannel retailers adding AI-search visibility to a bigger digital stack.

• CPG

  Packaged goods that win citations through stories, data, and earned media.

• Food & Beverage

  Brands whose recipes, stories, and studies become the citation corpus.

• Hospitality

  Hotels, venues, and hospitality software competing in both travel search and AI trip planning.

• Restaurants

  Independent and group restaurants that still live on local search, with AI layers arriving.

• Travel

  Airlines, booking, and travel brands now answering to trip-planning models.

• Automotive

  Dealers, aftermarket, and auto ecommerce, catalog plus local.

• Education

  Schools, EdTech, and learning brands whose AI answers must stay accurate.

• Nonprofit

  Mission-driven organizations that need discovery without an enterprise SaaS budget.

• Government

  Public-sector and civic sites where architecture and analytics dominate.

• Energy

  Energy companies with large sites, regulated language, and long B2B cycles.

• Utilities

  Utility brands whose customer and regulator questions now land in AI chat.

• Telecom

  Carriers and comms brands competing in national search and AI answers.

• Media

  Publishers and media brands whose own pages are already what models like to cite, or compete with.

• Entertainment

  Studios, attractions, and entertainment brands in both search and conversational discovery.

• Fashion / Beauty

  Brands that win on editorial citability, ecommerce templates, and cultural mentions.

• Home Services

  Trades and home-services companies competing in Maps, local pack, and AI “who should I call.”

• Solar

  Installers and solar brands that look like home services with a longer sales cycle.

• Cannabis

  Regulated retail and brands that need full-service digital partners comfortable with category constraints.

• Agriculture

  Ag brands and operators that still look like industrial plus local.

• Aerospace

  Long-cycle, technically dense sites that need enterprise content and retrieval GEO.

• Local Services

  Multi-category local businesses whose GEO is Maps, reviews, and AI “near me” answers.