Within the IT discipline it’s difficult to get re-tweated, cross-linked, or otherwise “Liked” in any of the fashions that are possible. In this case, I discovered what I think is an automated ‘bot evidently operated in Twitter by Google.

In reading across a slew of sources, I’ve been working on understanding a “generalized formula” for how to attract the latest search engine algorithms. This mode might be encapsulated as “giving advice” – but you can’t operate outside the context of your web presence. For instance, giving advice on puppy training wouldn’t satisfy the back-checking that occurs if my area of expertise is calculated (in that algorithm) as being in IT.

Let me say it this way: across a given range of subjects, a natural Question and Answer modality will be very attractive to Google search ranking algorithms. And using social media in this manner will get “noticed” and perhaps automated “likes” – if the web presence across those entities is tuned to that subject matter. This will undoubtedly raise search ranking results. Not only that, but it’s a green field because it will take time for competition to realize these facts, let alone respond to them.

Let me further clarify: that if your business website is mated to a personal Facebook page, the analytics compounded in the search algorithms are going to wind up in conflict, rather like cancelling out their additive weights. Content relative to “Family” in one context does not multiply into “Banking” (if for instance that was your profession.) In fact, I’m discovering that messy associations (like my Twitter account) – where I have a disparate group of followers and and even weirder group that I’m following – can’t but confuse the results. Not that Google search already considers this depth of detail, but I wouldn’t put it past ‘em.

The post that engendered this “favored” label was simple enough; Including tags and getting those words into the post helped. Aiming for Google, was intentional.

It’s worth noting that in my “Web Presence” design – the original Post was created in the Android app on my tablet for WordPress interfacing my website (which is http://www.interwestit.com) and that site is set to echo posts to my social media accounts. What I’m saying is: audiences (not that I have them) in LinkedIn, Google+, Twitter, Facebook – all receive copies of the content, even if sometimes those echoes are truncated for length in favor of including a link-back to the original post at the website. It seems to me that those headlines, or summaries or “Excerpts” as they’re being called, are tracked and any re-posts, or re-tweats, likes – that kind of stuff – carries enormous value to the search algorithms.

Okay, so what?

Think of it like this: It’s going to be hard to fool the search ranking algorithms by having a group of committed pals that mutually echo posts as a collective – because the algorithms are going to notice that, big time. There’s another wrinkle here having to do with “moderated” groups, like within Google+. That will be for next week, if I can remember to elaborate on that topic.


One thought on “Natural Language Questions & Answers: Raise your search results.

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