How Entities (and Knowledge Cards) Can Help With Query Intent

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Entity optimization as a big SEO play isn’t quite upon us yet. It’s a slow, growing Google addition. I know – it frustrates me too. So much potential, of which I believe will greatly improve search results in the future. Google isn’t nearly showing the fruits of everything it knows through entities, whether through cards or search results – at least not relative to the way they rank on keywords alone.

But can knowledge cards help bring qualified traffic while considering searcher intent? SEOs always talk about searchers intent. Anyone who’s been doing SEO for a while knows that building for intent can be a challenge.

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Take a query like “batman the dark knight”. Was the searcher looking for the 2008 movie? The graphic novel? The upcoming game? Were they looking to buy something, or just curious about a release date? What the hell were these people thinking? This is certainly very top of the funnel stuff, and would normally yield lower conversions, but it is where many Google non-power users would start.

How Entities (and Knowledge Cards) Can Help With Query Intent image foil.0 cinema 1200.0Google knows these searchers expect them to be mind readers. They’re keenly aware of this. They may be working on mind-reading devices in their labs (to which I will finally invest in the tin-foil hat – I’ve got a lot of junk swimming in my head that should stay hidden). But in the meantime, through their results they give us personalized search, or this cute little cluster of links, but I doubt many click on anything here:

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But if you properly create an entity, you can get better “related results” in the knowledge graph:

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Pop into Freebase and look up either of these entities, and you’ll see the details above listed out. Coincidence? Probably not. The data could have come from there. We know the Google-owned Freebase is part of their brain now. But unfortunately, the huge database of great information (granted, which needs to be checked against other sources), simply isn’t producing results yet. Whether a limitation in the knowledge card product or limitations in processing the data, I’m not sure – but I’m always hopeful Google steps it up soon.

Of course I recommend optimizing now and getting your entities in place for when Google pushes the pedal to the metal.

But for those who are working on campaigns where entities are being shown, you’re in luck. Google’s using your search history and their knowledge cards to personalize the results – sometimes in a more valuable way than the general results.

The Jaguar Example

If I were doing SEO for Jaguar, a well-known luxury brand car, I already have the benefit of Google knowing what my product is. They show some of it in their knowledge card with a simple “jaguar” search:

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Obviously this isn’t all Google knows – just what they feel like showing at the present time. They’re getting this from Google+, Wikipedia and Freebase at a minimum.

Since Ralph Speth can’t go back in time and choose a new name for the company, they have to compete for search result real-estate and millions of monthly searches for the term “Jaguar”. That is, against other pages that want to rank – like the Jacksonville Jaguars, the animal, the Atari Jaguar, comic book characters, and movie titles.

Now, if I were doing SEO for the defenders of wildlife, and I wanted this top-of-the-funnel term to potentially bring me traffic and awareness, the default (above) results suck for me. It’s all cars, football teams, or pictures.

But Google does something cool…

Search history plays a role in results. It uses keywords, and ideally entities, to see relationships through queries. A query like “animal,” “panthera,” and “wild animal” is related to Jaguar. Specifically, a query like “panthera,” followed by a new search for “jaguar” gives a different result. The Jaguar car listings, ads, and knowledge card are supressed, for an option where one can click to refine their search. This isn’t even slightly hidden. See the difference between the below results and the above example?

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Clicking the link above (pointed to by the red arrow) shows a new refined search where defenders.org has a listing (at the time of this writing). The query has been changed to “jaguar animal” but, through a new clickpath, defenders.org has the opportunity to benefit from this “jaguar” head term. I believe this is very likely entity driven. And, I believe this is a small example of how entities can be used in the future as Google’s products become more robust.

What do you think? Am I seeing a connection where there isn’t one?


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Qubole Debuts Presto-As-A-Service, Based On Facebook-Created Open-Source Interactive Query System

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QubolePrestoAsAService650Facebook announced last November that it would open-source interactive query system Presto, and now cloud big data platform provider Qubole is taking the next step, announcing the release of its Presto-as-a-Service Alpha Program via Amazon Web Services.

Qubole said Presto-as-a-Service has been a popular request from its clients on AWS, and it will be offered alongside similar products for Hive, Hadoop, and Pig.

The interactive query system was designed by Facebook to run fast interactive analytic queries at petabyte scale, and Ravi Murthy, who manages the social network’s analytics infrastructure team, said in a release announcing the launch of Presto-as-a-Service:

We built Presto at Facebook to handle the unprecedented scale and performance challenges we face. Since open-sourcing Presto in November, we’ve seen tremendous interest from the community, and we look forward to Qubole and others adopting and building on this technology.

Qubole Vice President of Engineering Shrikanth Shankar added:

Presto will provide great value to our users, who have previously had to rely on expensive commercial technologies for fast analytics. We’re very excited to support this game-changing solution.

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