OranGEO Index
AI visibility from real buyer-prompt scans
A public index showing which brands appear in AI buyer answers, which competitors show up nearby, and which sources shape the result. It starts with one live Hotel Tech release, but the system is built for cross-industry rankings.
Cross-industry index preview
The public index is designed for familiar brand categories across software, finance, consumer products, travel and retail. Hotel Tech is the first measured release; these rows show the broader benchmark shape before each category gets its own scored cohort.
Apple
Consumer Electronics
Benchmark angle
Product recommendation prompts
Stripe
Financial Services
Benchmark angle
Payment and banking comparisons
Notion
B2B Software
Benchmark angle
Software shortlist prompts
Nike
Fashion & Apparel
Benchmark angle
Consumer discovery prompts
Booking.com
Travel & Hospitality
Benchmark angle
Travel planning prompts
Current release
Hotel Tech AI visibility leaderboard
The live public release is intentionally narrow: Hotel Tech, US English, all AI engines, current release. Other industries and markets become ranked once comparable scans exist.
Explore the index
Published release: Hotel Tech in US English. Other industries and markets preview queued cohorts until their scans are published.
Market sectors
Broad sectors keep the index navigable as more SEO pages publish
Subcategories
Travel planning, hotel operations and booking decisions.
Scores publish only after comparable cohorts are complete
Top Hotel Tech brands in this release view
Live Hotel Tech benchmark
Complete rankings first, then detected brands ordered by competitor adjacency.
Release summary
Hotel Tech
A narrow live release with one completed ranking and a detected competitor cohort for follow-up scans.
71/75
answers with ranked brand
75
AI answers reviewed
Detected competitor cohort
Brands detected around the live Hotel Tech release.
Mews
Hotel operations cloud
43
signals
Little Hotelier
Small hotel management software
37
signals
Oracle OPERA
Enterprise hotel management system
30
signals
SiteMinder
Booking and channel management
22
signals
Guesty
Property management
17
signals
Get ranked
Let brands request inclusion without weakening the leaderboard
The index can be highly automated behind the scenes, while public scores still go through eligibility and release review. That keeps the growth loop useful without turning the leaderboard into a self-serve claim page.
Want to appear in a future release?
Submit a brand, domain and category. OranGEO can run the private scan first, then publish only when the category has comparable data.
1. Candidate
A brand can enter the index queue by request, admin import, or by being detected near ranked brands in AI answers.
2. Queued scan
The brand is matched to a fixed category cohort, market, language and AI-engine set before any public score is shown.
3. Eligible ranking
Scores unlock only after comparable scans pass sample-size, prompt-cohort and brand-direct prompt rules.
4. Published
Admin review confirms the release, brand assets, TDK, structured data, sitemap and llms.txt updates.
Auto-draft everything
Snapshots can generate release drafts, detected cohorts, brand pages, schema, titles and descriptions automatically.
Review before public scores
A human review step prevents one-off scans, bad logos, wrong categories or disputed claims from becoming public rankings.
Release on a schedule
Weekly or monthly releases feel trustworthy and create fresh SEO/GEO pages without making the index look random.
Evidence
The score is only useful when the evidence is visible
OranGEO keeps source trails and competitor adjacency next to the ranking, so teams can see what is actually shaping AI answers.
Engine coverage
Source influence
Competitor adjacency
AI platform axis
Track AI surfaces, not just model names
The platform filter should follow where users actually receive answers: chat assistants, AI search surfaces and eventually commerce assistants. Single-platform rankings stay hidden until the platform has a comparable full cohort.
Benchmark view
All AI engines
Aggregated view for the current public release.
Answer assistants
ChatGPT
Core assistant surface.
Gemini
Core assistant surface.
Claude
Recommended for next release coverage.
Grok
Social-adjacent answer surface.
DeepSeek
International assistant surface.
AI search surfaces
Perplexity
Answer engine with visible source trails.
Google AI Mode
Important search surface for public index comparability.
Google AI Overviews
SERP-level AI visibility surface.
Copilot
Microsoft/Bing answer surface.
Commerce surfaces
ChatGPT Shopping
Useful when product and retail categories mature.
Amazon Rufus
Commerce-specific AI assistant.
Public benchmark pattern
Public indexes usually keep AI platform as a filter beside industry, country and time, so visitors can compare category results without leaving the leaderboard context.
Our default
Keep the public ranking on All AI engines until each single-platform view has a complete comparable cohort.
Terminology
Use AI surfaces rather than only engines, because Google AI Overviews, AI Mode, Perplexity and shopping assistants behave like search surfaces, not just chat models.
Update model
Automated drafts, reviewed public releases
Snapshot and monitoring runs can automate the data work, but public rankings should publish as reviewed releases. After repeat comparable scans, the same system can add rank movement, source changes and category pages.
1. Scan
Import completed Snapshot or monitoring runs into a release draft with the selected category, market and AI surfaces.
2. Validate
Check prompt cohort, sample size, brand assets, duplicated brands and whether the scan is eligible for public scoring.
3. Publish
Push approved releases to the public index, regenerate brand pages, update sitemap and expose structured data.
Score eligibility
No score from tiny or brand-biased prompt sets
The index should publish scores only when the sample is large enough, non-brand prompts are separated from brand-direct evidence, and every brand is measured on the same cohort.
Minimum sample
30+ answers
No public score from one-off checks. Small scans can be shown as detected evidence, not rankings.
Brand-direct prompts
Excluded
Category rankings should not count prompts that already contain the brand name, such as pricing or review searches.
Comparable cohort
Required
Every ranked brand must be measured against the same market, AI engine set and prompt cohort.
Prompt disclosure
Audited
The public page can show prompt classes and sample size; the full prompt list stays in the release audit record.
Eligible category prompt classes
These classes are enough for public trust without leaking or over-indexing on the exact prompt list.
Methodology
Transparent enough to trust, simple enough to share
The current pilot score is answer presence across 75 sampled AI answers. Richer composite scoring can be introduced after every brand in a cohort has the same comparable scan.
Live
Answer presence
The pilot score is mentions divided by sampled answers. Current release example: 71 / 75 = 94.7%.
Live
Engine coverage
Checks whether visibility holds across ChatGPT, Gemini, Perplexity, Grok and DeepSeek.
Evidence
Source trail
Cited domains explain which pages and publishers appear to shape the answers.
Evidence
Competitor adjacency
Nearby brand mentions are tracked separately so candidates are not treated as ranked winners.
Next
Rank movement
Movement becomes meaningful after repeat releases use the same fixed cohort.
Eligible prompt set
Category rankings use discovery, comparison, evaluation and alternative prompts. Brand-direct prompts can support evidence pages but should not inflate the main leaderboard.
Minimum sample size
One-off prompts should never produce public scores. Small runs can stay detected; ranked scores need enough answer checks to be credible.
Comparable cohorts
Scores are assigned only when brands share the same industry, market, language, engine set and prompt cohort.
Update log
The index is designed for recurring releases: current score, rank movement, source movement and newly ranked categories.
Industry system
Broad sectors, then focused category pages
The public index should scale like a directory: broad market sectors for navigation, focused subcategories for ranking pages, SEO pages and future AI citations.
Travel & Hospitality
Travel planning, hotel operations and booking decisions.
Hotel Tech
B2B software evaluation
Travel & Hospitality
Destination, booking and operator choice
Software & Technology
SaaS, cybersecurity, IT services and technical markets.
B2B Software
SaaS discovery and vendor shortlisting
Email Marketing
SaaS discovery and tool comparison
Cybersecurity
Enterprise risk-led vendor evaluation
IT Consulting
Enterprise services shortlisting
Semiconductor
Technical vendor and market research
Financial Services
Consumer finance, payments, cards and insurance categories.
Finance
Consumer and SMB comparison
Credit Cards
Consumer finance comparison
Health Insurance
Trust-led plan comparison
Consumer & Retail
Shopping, electronics, fashion, grocery and home goods.
Consumer Electronics
Product research and recommendation
Fashion & Apparel
Style discovery and brand consideration
Ecommerce & Retail
Product category and store comparison
Furniture
Home buying and brand comparison
Grocery Chains
Retail convenience and price comparison
Media & Food
Entertainment subscriptions and everyday consumer choices.
Streaming Services
Subscription comparison and entertainment discovery
Fast Food
Local and lifestyle recommendation
Health & Life Sciences
Healthcare, pharmaceutical and pharmacy visibility.
Pharmaceutical
High-trust healthcare discovery
Pharmacies
Retail health and convenience comparison
Industrial & B2B
Manufacturing, energy, automotive suppliers and professional services.
Aerospace
Industrial and defense supplier research
Auto Parts
Parts research and retailer comparison
Packaging
B2B supplier discovery
Renewable Energy
Energy vendor and market research
Consulting
Professional services evaluation
Join a future release