Local SEO, GMB, Maps & Review Patents Reference
28+ local search patents covering the three pillars of local ranking, map spam detection, review signals, and FTC compliance.
The Three Pillars of Local Ranking
- Proximity — Physical distance from the search location to the business
- Prominence — Citations, reviews, authority, authoritative mentions across the web
- Relevance — Business category match to the query's intent
Core Patents
Location Prominence (US8046371B2, 2005-2011)
5 prominence factors:
| Factor | Description |
|---|---|
| Score of authoritative documents | Authority-weighted count of pages mentioning the business |
| Total number of documents | Raw count of all pages mentioning the business |
| Highest score of any document | The single most authoritative citation |
| Number of documents with reviews | Review volume across the web |
| Number of information documents | Directory listings, business profiles, informational mentions |
Local Business Ranking via Maps (US8312010B1, 2007-2012)
User action signal weights (higher = more ranking impact):
| User Action | Relative Weight |
|---|---|
| Contact request | 1.0 (highest) |
| Direction requests | High |
| Phone number requests | High |
| View business reviews | Medium |
| View storefront images | Medium |
| Map requests | 0.10 |
| Business type queries | 0.01 (lowest) |
Implication: Optimize the GMB profile to encourage high-value actions — phone calls and direction requests carry the most local ranking signal.
Local Expert Reviews (US9792330B1, 2013-2017)
Not all reviews are weighted equally:
Expert reviewer criteria:
+ Multiple reviews in the same business category
+ Reviews specific to the geographic area
+ Reviews not flagged as spam
+ Consistent reviewer history
Result: Expert reviews carry more local ranking weight than anonymous one-time reviewers.Map Spam Detection (US8694489B1, 2010-2014)
Spam scoring system — 0 to 1 range, threshold approximately 0.7:
| Spam Signal | Score Added |
|---|---|
| Listing category 25-50% higher than area average | +0.1 |
| Listing category 50-75% higher than area average | +0.2 |
| Listing category >75% higher than area average | +0.3 |
| Single listing in residential area | +0.1 |
| 2+ listings in residential area | +0.2 |
| Shared data between 2 listings | +0.1 |
| Shared data between 30 listings | +0.2 |
| Shared data between 80 listings | +0.3 |
Real-time map spam detection: US8868536B1 adds real-time analysis on top of the batch scoring system.
Review Sentiment (US8417713B1, 2007-2013)
Google analyzes the TEXT of reviews, not just star ratings:
- Positive/neutral/negative sentiment scores extracted from review content
- Aggregate sentiment affects local ranking — not just star averages
- Specific words in reviews matter more than the star count
- Detailed reviews with category-specific terminology carry more weight
Implication: Encourage customers to describe their experience in detail — not just leave a star rating. The text content drives the sentiment signal.
Local Intent Detection (US8601008B2, 2012)
| Query Type | Example | Intent |
|---|---|---|
| Explicit local | "plumber near me" | Clearly local |
| Implicit local | "plumber" | Implicit local (category triggers local SERP) |
| Non-local | "how to fix a pipe" | Informational, no local intent |
Different business categories trigger different geographic radius:
- Locksmith: narrow radius (emergency service, proximity critical)
- Restaurant: moderate radius
- Hotel: broad radius (travelers plan ahead)
- US8463772B1 covers category-specific geographic range
Additional Local Patents
| Patent | Description |
|---|---|
| US8868536B1 | Real-time map spam detection |
| US8156099B2 | Interpreting local search queries |
| US8171048B2 | Location sensitivity adjustment |
| US8577893B1 | Citation context matters (not just NAP, but surrounding text) |
| US8880583B2 | Distance from searcher to business |
Review Signal Hierarchy
| Signal | Impact | Patent |
|---|---|---|
| Sentiment of review text | High | US8417713B1 |
| Reviewer expertise (local expert) | High | US9792330B1 |
| Review quantity | Medium | Multiple |
| Star rating aggregate | Medium | Multiple |
| Review recency | Medium | Multiple |
| Review detail length | Medium | US8417713B1 |
FTC Consumer Review Rule (Effective October 21, 2024)
What Is Now Illegal
ILLEGAL:
[ ] Creating or buying fake reviews
[ ] AI-generated reviews without disclosure
[ ] Review gating (pre-screening based on satisfaction before asking)
[ ] Suppressing negative reviews selectively
[ ] Buying positive reviews without disclosure
[ ] Operating fake review websites
[ ] Insider reviews (employees/family reviewing without disclosure)Penalties: Up to $50,000 per violation, permanent injunctions, potential criminal referrals
Compliant Review Strategy
COMPLIANT:
[ ] Solicit reviews from ALL customers equally (no gating)
[ ] Publish all reviews — positive and negative
[ ] Disclose any incentives offered for reviews
[ ] Encourage detailed text reviews (sentiment analysis values content)
[ ] Respond professionally to negative reviews
[ ] Train staff: no asking friends/family without disclosure
[ ] Document your review solicitation processLocal SEO Implementation Checklist
GMB Profile:
[ ] Business category matches primary service exactly
[ ] Secondary categories added for additional services
[ ] All 5 prominence factors addressed (citations, reviews, authority)
[ ] Photos added (storefront, interior, team, products)
[ ] GMB posts active (weekly minimum)
[ ] Q&A section seeded with FAQs
Schema Markup:
[ ] LocalBusiness schema with @id
[ ] Address, phone, hours accurate and consistent with GMB
[ ] sameAs links to GMB, Yelp, Facebook, LinkedIn, Wikidata
[ ] AggregateRating schema if reviews >5
Citations:
[ ] NAP consistent across all citation sources
[ ] Primary directories: Google, Yelp, BBB, YP, Bing Places
[ ] Industry-specific directories for niche citations
[ ] Review text analyzed for category-specific keywordsRelated Learning Modules
- Module 18: Local SEO & GMB — Full local patent coverage
- Module 21: Reviews & FTC Compliance — Review signals and law
- Local Geo Relevance Audit — GMB optimization audit