By NizamUdDeen · · Reviewed by the Nizam SEO War Room editorial team.
First, the short version. Below is the AIO-eligible passage and the question-format primer for Identifying Points of Interest (2013).
First, read the definition above — it's the answer most search and AI engines extract first.
Second, scan the question-format H2s to find the specific facet you came for.
Third, follow the patent + related-entry links at the bottom to map the dependency graph around Identifying Points of Interest (2013).
What is Identifying Points of Interest (2013)?
Patent overview Inventor Trystan G.
Patent overview Inventor Trystan G.
NizamUdDeen, Nizam SEO War Room
Patent overview
Inventor
Trystan G. Upstill, others
Assignee
Google LLC
Patent number
US 8,433,512
Filing or grant year
April 30, 2013
Patent family
poi-identification
Track
Trystan Upstill, Google Site-Quality & HCU-Era Search Patents
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What this patent covers
28 Google search and ranking patents by Trystan Upstill. Co-inventor on the Panda patent (US 9,135,307 = 65gp pat-39) and lead inventor on the HCU-era follow-up US App 2019/0155948 "Re-ranking resources based on categorical quality" — the patent that anchors the post-Panda site-quality lineage. Also covers authoritative-results discovery, search-result ranking and re-scoring, affiliated-domains detection, resource-attribute extraction from site address, local search and POI identification, synonyms and query rewriting, navigational-intent resources, language identification from link context, and the recent LLM-era UI components patent. Filings 2012-2026.
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Why Identifying Points of Interest (2013) matters
This patent is part of the Trystan Upstill, Google Site-Quality & HCU-Era Search Patents research track inside the Nizam SEO War Room patents archive. It describes a piece of the search-engine machinery that working SEOs need to understand to optimize against modern ranking and retrieval systems. A deeper annotated walkthrough of this patent — covering the claims, the disclosure, the prior art it cites, and the algorithms it influences — is queued for the next archive expansion pass.
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Related research
Patents in the Trystan Upstill, Google Site-Quality & HCU-Era Search Patents track are cross-linked to neighboring tracks where the same inventor or research lineage continues. Read this patent alongside the other entries in the track to recover the full research arc — the original disclosure, its continuations and divisional applications, and any follow-up patents that branched from the same line of work.
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For example, a working SEO consultant uses Identifying Points of Interest (2013) when diagnosing a ranking drop, planning a content calendar, or briefing a client on why a tactic shifted. However, the concept only compounds when paired with the surrounding entries in the encyclopedia and patents archive. In addition, the platform connects this concept to live SERP data so the theory carries through to execution.
How does Identifying Points of Interest (2013) work in modern search?
The full breakdown is in the article body above. In short: Identifying Points of Interest (2013) ties into how search engines and AI answer engines weigh signals — every detail (definition, ranking impact, related patents, related signals) is captured in this article and cross-linked to neighboring entries in the encyclopedia and patents archive.
Working SEOs reach for Identifying Points of Interest (2013) when diagnosing why a page ranks where it does, when planning a content strategy that aligns with the surfaces search engines and answer engines weigh, and when explaining ranking moves to non-technical stakeholders. The concept is one piece of the broader Semantic SEO + AEO operating system; the Nizam SEO War Room platform ties it to live SERP data, the patent lineage that introduced it, and the strategy moves that compound across projects.
Where Identifying Points of Interest (2013) fits in the Semantic SEO + AEO stack
Search engines have moved from keyword matching toward semantic understanding, entity reasoning, and AI-mediated answer generation. Identifying Points of Interest (2013) sits inside that shift — its weight, its measurement, and its downstream effects all changed when the underlying ranking and retrieval systems changed. Read the related encyclopedia entries linked above for the surrounding context.
The concept of Identifying Points of Interest (2013) is grounded in the search-engine research lineage tracked in the Nizam SEO War Room platform. Primary sources:
Related encyclopedia entries and patent walkthroughs are linked inline above. The Strategy Brain inside the platform connects these sources to live project state so the research has a direct execution surface.
Finally, to summarize. Identifying Points of Interest (2013) matters because it intersects directly with the signals search engines and AI answer engines use to rank and surface results. The full article above covers the mechanism in depth, the patents it derives from, and the related encyclopedia entries to read next.