Hummingbird and the Entity Search Revolution
Presented by: Dave Lloydhttp://www.magic4walls.com/wp-content/uploads/2013/12/Bird-Hummingbird-Hummingbird.jpg
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Hummingbird is a new
Search Engine Algorithm,
that impacted 90%of search queries in Google.
Hummingbird and the Entity Search Revolution
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In general, Hummingbird — Google says — is a new engine built on both existing and new parts, organized in a
way to especially serve the search demands of today, rather than one created for the needs of ten years ago, with the technologies back then.
http://searchengineland.com/google-hummingbird-172816
Hummingbird and the Entity Search Revolution
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It doesn’t change the original ranking factors, instead it
adds additional relevancy signalsthat can also impact rankings and improve user experience.
Hummingbird and the Entity Search Revolution @davelloyd1
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Links are STILL IMPORTANT
Hummingbird and the Entity Search Revolution
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Site Architecture is STILL IMPORTANT
Hummingbird and the Entity Search Revolution
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Quality Content is STILL IMPORTANT
Hummingbird and the Entity Search Revolution
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“SERVING THE SEARCH DEMANDS OF TODAY”
Hummingbird and the Entity Search Revolution
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Semantic Search & Search Entities
Hummingbird and the Entity Search Revolution
Getting more results than just those that feature the exact keyword you typed into the search box.
Semantic search will take into account the context and meaning of your search terms and the assumptions that the searcher is making when typing in that search query.
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Knowledge graph was the “first baby step”http://googleblog.blogspot.com/2012/05/introducing-knowledge-graph-things-not.html
Hummingbird and the Entity Search Revolution
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The knowledge graph entities vs. search entities
Hummingbird and the Entity Search Revolution
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The knowledge graph entities vs. search entities
Hummingbird and the Entity Search Revolution
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Search Entities can include: A query a searcher submits Documents responsive to the query The search session during which the searcher
submits the query The time at which the query is submitted Advertisements presented in response to the query Anchor text in a link in a document The domain associated with a document
“Search entities” (as opposed to entities that relate to people, places, and things) are primarily about relationships between keywords. Relationships between keywords or entities help provide a layer of semantic relevancy, and can be used to make rank adjustments.
Synonym identification based on co-occurring terms
The knowledge graph entities vs. search entities
Hummingbird and the Entity Search Revolution
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Refined topic modeling, more knowledge graph references, and semantic signals are coalescing.
Search queries improved based on semantic info Evaluation of substitute terms Synonym identification based on co-occurring terms
Today, signals such as keyword co-occurrence, user behavior, and previous searches do in fact inform context around search queries, which impact the SERP landscape.
Hummingbird and the Entity Search Revolution
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All this giving you a headache
yet?
Hummingbird and the Entity Search Revolution
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“My head hurts”
Hummingbird and the Entity Search Revolution
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Examples of Query expansion
Hummingbird and the Entity Search Revolution
Based on query sessions
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Examples of Query expansion
Hummingbird and the Entity Search Revolution
Based on previous search
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Synonyms & query re-writing
Hummingbird and the Entity Search Revolution
“Hardware reviews” -> “Computer”
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Synonyms & query re-writing
Hummingbird and the Entity Search Revolution
“Hardware reviews” -> “Computer”
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Synonyms & query expansion
Hummingbird and the Entity Search Revolution
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Synonyms & query expansion
Hummingbird and the Entity Search Revolution
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How to Pages
Hummingbird and the Entity Search Revolution @davelloyd1
In-house SEO and Leadership 25
Make your topical content the repeat destination
Improve the user experience
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In-house SEO and Leadership 27
Curate similar topical content based on intent
In-house SEO and Leadership 28
Meta data & entity relationships improve Site Search performance
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Rankings are an additional, not primary, benefit
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How does that impact my day to day as an SEO?
Focus on customer-focused topics by intent, not keywords
Promote the schema.org tagging protocol within web teams
Evaluate location queries via mobile as these are ready-made for entity search
Add competitive or non-brand terms co-occurring with the top 10-20 search results
Evaluate Knowledge Graph for your terms that trigger KG
Use new keyword research tools like Google Autocomplete, LSI Keywords, and
UberSuggest to understand keyword entities
Use internal & social linking to improve co-citations
Develop How To content & query refinement suggestions
http://www.clickz.com/clickz/column/2334906/key-ways-to-stay-current-with-semantic-search-changeshttp://www.cleverdicc.com/wp-content/uploads/2011/05/water-drop.jpg
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