20 Google local-search and geographic-relevance patents by Daniel Egnor, the architect of the Google Maps / Local Pack ranking layer. Lead inventor on US 8,046,371 "Scoring local search results based on location prominence" — the patent that defines the "Prominence" factor in Google's official Local Search Ranking documentation. Also covers location-sensitivity ranking (Relevance factor, with Amit Singhal), geographical-relevance indexing, ambiguous-geographic-reference resolution, authoritative-document identification, business-listing categorization, and GIS ambiguous-search processing (with Keyhole founder John Hanke). Co-authored with Singhal, Haahr, Greenfield, John Hanke. Filings 2003-2019.
About the Daniel Egnor, Google Local Search Patents track
20 Google local-search and geographic-relevance patents by Daniel Egnor, the architect of the Google Maps / Local Pack ranking layer. Lead inventor on US 8,046,371 "Scoring local search results based on location prominence" — the patent that defines the "Prominence" factor in Google's official Local Search Ranking documentation. Also covers location-sensitivity ranking (Relevance factor, with Amit Singhal), geographical-relevance indexing, ambiguous-geographic-reference resolution, authoritative-document identification, business-listing categorization, and GIS ambiguous-search processing (with Keyhole founder John Hanke). Co-authored with Singhal, Haahr, Greenfield, John Hanke. Filings 2003-2019.
Local Pack Ranking Signals
- Scoring Local Search Results Based on Location Prominence (US 8,046,371 · October 25, 2011)
- Scoring Local Search Results (app 2011) (US App 2011/0022604 · January 27, 2011)
- Ranking Documents Based on a Location Sensitivity Factor (US 8,171,048 · May 1, 2012)
- Indexing Documents According to Geographical Relevance (US 9,189,496 · November 17, 2015)
- Authoritative Document Identification (US 8,650,197 · February 11, 2014)
- Authoritative Document Identification (app 2012) (US App 2012/0173544 · July 5, 2012)
Geographic Reference Disambiguation
- Classification of Ambiguous Geographic References (US 9,323,738 · April 26, 2016)
- Classification of Ambiguous Geographic References (2014) (US 8,856,143 · October 7, 2014)
- Classification of Ambiguous Geographic References (app 2015) (US App 2015/0012542 · January 8, 2015)
- Determining Unambiguous Geographic References (US 8,078,601 · December 13, 2011)
Maps Search & Business Listings
- Processing Ambiguous Search Requests in a Geographic Information System (US 10,198,521 · February 5, 2019)
- Processing Ambiguous Search Requests in GIS (app 2019) (US App 2019/0171688 · June 6, 2019)
- Processing Ambiguous Search Requests in GIS (app 2015) (US App 2015/0169674 · June 18, 2015)
- Category Suggestions Relating to a Search (US 8,595,250 · November 26, 2013)
- Category Suggestions Relating to a Search (2011) (US 8,027,988 · September 27, 2011)
- Propagating Information Among Web Pages (US 8,990,210 · March 24, 2015)
- Propagating Information Among Web Pages (2013) (US 8,521,717 · August 27, 2013)
- Propagating Useful Information Among Related Web Pages (US 7,933,890 · April 26, 2011)
- Propagating Information Among Web Pages (app 2011) (US App 2011/0196861 · August 11, 2011)
- Propagating Information Among Web Pages (app 2014) (US App 2014/0052735 · February 20, 2014)
Why this inventor matters
Each inventor track inside the Nizam SEO War Room patents archive isolates one engineer's research arc — typically a decade or more of continuations, divisionals, and follow-up patents on a coherent research thread. Reading by inventor (rather than by topic) recovers the narrative: how the original disclosure evolved, what the continuations added, which claims got carved out into divisional applications, and how the thread eventually intersected with other research lines at Google or Microsoft. This is how working SEOs build durable intuition about search-engine internals — not by memorizing claim language, but by following the research bibliography that shipped the algorithms we now optimize against.
How to read this track
Start with the earliest filing — it sets the foundational disclosure. Continuations refine the claims; divisional applications split out separable inventions; the follow-up patents tend to introduce performance optimizations, edge-case handling, or downstream integration with other systems. Each patent on this site is annotated with the ranking surface it touches — query understanding, document retrieval, ranking, behavioral signals, knowledge graph, or AI search — so the practitioner can map the research back to the algorithm output observed on live SERPs.