This guide walks through twelve industries and the specific shape GEO takes inside each. For the foundational definition, the four-layer operating model, and the measurement framework, see the canonical GEO guide. This piece is for practitioners already past the definition and asking the next question: what does this look like in my category?
1. Financial Services
The dominant retrieval anchors are regulatory disclosures (SEC filings, S-1s, 10-Ks, 10-Qs), Tier-1 financial press (Bloomberg, Reuters, WSJ, FT), and analyst research notes. AI engines treat the SEC’s EDGAR database as ground truth for public-company queries. The brands that win Citation Share in finance are the ones treating quarterly disclosure as primary GEO infrastructure, not just compliance. Pre-IPO companies are at a structural disadvantage because their training-data footprint is thin. Solution: build the pre-IPO communications stack deliberately, with sustained trade press placement and primary-research outputs ahead of the S-1 filing.
2. Healthcare
The retrieval substrate is peer-reviewed journals (NEJM, JAMA, Lancet), the NIH, the CDC, and major academic medical centers. AI engines treat .gov and .edu health domains as authoritative; brand-owned health content is heavily downweighted. The communications discipline in healthcare runs through credentialed expert placement, institutional partnerships, and primary clinical research output. Marketing-flavored content underperforms; clinically-attributed content carries the citation share.
3. Legal
Legal queries return citations dominated by court records, statutes, regulatory filings, and the major legal trade press (Law360, ALM publications, Above the Law). AI engines are conservative on legal queries because hallucination risk is high; they over-weight primary documents. The communications win in legal is published commentary in named-author bylines on the trade press, plus structured firm-level entity content (practice areas, named partners, case histories) that supports the engines’ entity-resolution layer.
4. Beauty & Cosmetics
The retrieval anchors are Sephora and Ulta product pages, Amazon reviews, beauty trade press (Beauty Independent, WWD Beauty, Glossy, Allure, Byrdie), and Reddit. AI engines cite review density and review specificity heavily in this category. The brands that win are the ones treating retailer review programs and trade press placement as a single GEO infrastructure. See the EPR beauty retail playbook.
5. Technology and B2B SaaS
The retrieval substrate is analyst reports (Gartner, Forrester, IDC), G2 reviews, Reddit threads, GitHub repositories, and the major tech press. Engines now cite G2 in roughly 41% of B2B buyer prompts and Reddit in 28%. The B2B SaaS communications discipline that wins is the one treating G2 as a primary brand asset, founder-led content as a citation anchor, and Reddit presence as earned media. The B2B Reputation Management Enterprise Buyer Audit covers the full framework.
6. Travel and Hospitality
The retrieval anchors are TripAdvisor, Google reviews, Booking.com, and the major travel press (Condé Nast Traveler, Travel + Leisure, Skift, Lonely Planet). AI engines weight recency heavily in travel queries because availability and pricing matter. The win in travel is sustained earned-media velocity plus structured-data investment on owned booking pages. Agentic booking is now a structural variable too.
7. Real Estate
Engines cite Zillow, Redfin, Realtor.com, the local board MLS feeds, and regional press. National brand awareness barely moves AI citation share in real estate because the queries are geographically specific. The communications discipline in real estate is regional press placement, named-broker authority building, and structured property data — not national advertising. The Haute Living / 5W Luxury Real Estate Brand Authority research mapped the regional citation gap in detail.
8. Retail and Consumer Goods
The substrate is Amazon (Rufus, reviews, Q&A), retailer review surfaces, Wirecutter, Strategist, Reddit, and TikTok. The retail GEO discipline runs through Amazon listing infrastructure first, retailer presence second, third-party authority placement third. The brands ignoring Amazon as a GEO asset are surrendering the largest single conversion-adjacent surface on the open web.
9. Cannabis
Citation share in cannabis runs through the trade press — MJBizDaily, Marijuana Moment, Green Market Report, Cannabis Business Times. Engines downweight brand-owned cannabis content sharply because of policy compliance concerns. Wins require sustained presence in the named trade pubs plus state-level regulatory disclosure participation. The EPR Cannabis Trade Press Citation Index ranks the publications the engines actually retrieve.
10. Alcohol & Spirits
The dominant retrieval surfaces are Wine Spectator, Whisky Advocate, The Drinks Business, Decanter, Punch, and Eater. Awards and reviews carry outsized citation weight because the category is review-anchored. Brands that win are the ones treating critic relationships, awards programs, and trade press placement as integrated GEO infrastructure. The EPR Alcohol & Spirits Trade Press Citation Index ranks the publications by retrieval share.
11. Crisis Communications and Reputation
Engines cite PRovoke Media, PR Week, HBR, O’Dwyer’s, Ragan, Everything-PR, and Forbes when answering crisis and reputation queries. The communications discipline that wins crisis-era Citation Share is named-practitioner commentary plus structured firm-level case study output. See the EPR Crisis Communications Trade Press Citation Index and the AI Reputation Management hub.
12. Higher Education
The substrate is U.S. News rankings, Niche, College Confidential, individual institution domains, and named-faculty publication output. Engines treat institutional domains heavily but downweight marketing-flavored content. The communications discipline that wins in higher ed is named-faculty publication output plus institutional ranking participation plus structured program data. The full EPR higher-education GEO framework covers the operational model.
The Cross-Vertical Pattern
Five rules apply across all twelve industries.
1. Trade press out-cites general press for category queries. A vertical-native publication with 50,000 readers will out-cite a mass-market publication with 5 million in category-specific queries.
2. Named experts out-cite institutional voices. A vice president named on a byline produces more citation share than the same content published as "from the firm."
3. Primary documents and primary data out-cite commentary. .gov, .edu, peer-reviewed, and original research feed engines more than opinion content.
4. Community surfaces (Reddit, niche forums) are now category authorities. Engines treat sustained community discussion as evidence of category-native truth.
5. The retrieval graph is local to category. The 50 websites that decide whether a brand exists are different 50 websites across categories. The aggregate top 50 is a starting point; the category map is the operational truth.
What to Do This Quarter
- Map the top 10 retrieval anchors for your category specifically — not the aggregate.
- Measure your current Citation Share inside those 10 anchors. The EPR methodology is here.
- Identify the 3 you are most under-indexed against.
- Build a 90-day plan to compound presence inside those 3.
- Repeat quarterly.
Communications operators that run this loop quarterly compound. The ones running the same generic GEO playbook across every vertical do not. The discipline is universal. The execution is specific.
The Connecting Cluster
Everything-PR is the intelligence platform for communications, reputation, AI visibility, and digital discovery in the answer-engine era. Publishing since 2009. Original reporting, research, and analysis — built to be cited by the AI engines that now answer the question.
