Lessons from Childhood: How to search for things that are hard to find

by Hamlet Batista | August 15, 2007 | 2 Comments

tennisball.jpgIn my teen years in the Dominican Republic, I used to play a game my friends called playball. The game followed more or less the same rules of baseball; we setup bases, hit the ball and ran to score. The main difference was that we played in the middle of the street and we used no bats or pitchers. We threw the ball up into the air ourselves and hit it with our bare hands.

Obviously we didn't use real baseballs, which would have been incredibly painful, but rather bright green tennis balls. It wasn’t uncommon to hit the ball hard enough that it will land in a monte—the scrubby woodland areas nearby. In no time at all the ball would grow dirty enough from our monte homeruns that it would turn a dark green color. You always had to pay close attention to the trajectory in order to find where it landed. We lost many balls over the years.

Why was it so difficult? The dark green balls blended in with the bushes so well that it was very hard for us to tell them apart. The balls had no distinctive features to make them stand out. Later, we used bright orange balls and those were really hard to miss. Search engines face a similar challenge…

The search for distinctive features and the role of SEO

As the Web keeps growing at its rapid pace, the features or quality signals search engines use to distinguish documents are not going to be enough. It doesn't matter how hard they work to improve their algorithms, if the documents they are trying to locate are not easily distinguishable, search engines will fail.

The question then becomes: will search engines be able to scale and increase the number of features necessary to differentiate documents as the Web grows? Or, will they need the help of users and SEOs to make the documents easier to find in the first place?

Peter Morville, author of Ambient Findability, envisions the latter. I agree with him, not only because I'm an SEO and he paints a really bright future for us, but because it makes sense. Think about all the content writers that are not savvy enough to use key terms people search for. How will search engines know to show those pages for the right searches? What about other types of non-information objects, like physical ones, how can we search those?

At the moment, it is clear that the main problem search engines face moving forward is the human factor. We're ambiguous, unpredictable. Personalization doesn't help here. Personalized search assumes that eventually computers will be able to know not only what we are looking for, but also to predict what we will want in the future. If that is even possible, it is definitely a gargantuan task. On the other hand, who better to solve the human problem than we humans? There clearly needs to be cooperation between search engines, content writers and SEOs.

Users generally provide more meaningful and useful classification than computers. In the end, relevance is relative. We can look at Web 2.0 tagging as one example of this. This is the type of outcome that we as SEOs need to embrace. Our work is to make our content and our clients easy to find by the people that seek them.

SEOs and search engines are not at war. In the end, we are all working to help search engines do their job better! It is time to admit this publicly.


Hamlet Batista

Chief Executive Officer

Hamlet Batista is CEO and founder of RankSense, an agile SEO platform for online retailers and manufacturers. He holds US patents on innovative SEO technologies, started doing SEO as a successful affiliate marketer back in 2002, and believes great SEO results should not take 6 months



Try our SEO automation tool for free!

RankSense automatically creates search snippets using advanced natural language generation. Get your free trial today.


Latest news and tactics

What do you do when you’re losing organic traffic and you don’t know why?

Getting Started with NLP and Python for SEO [Webinar]

Custom Python scripts are much more customizable than Excel spreadsheets.  This is good news for SEOs — this can lead to optimization opportunities and low-hanging fruit.  One way you can use Python to uncover these opportunities is by pairing it with natural language processing. This way, you can match how your audience searches with your...

Making it easier to implement SEO changes on your website

Changes to the RankSense SEO rules interface

As we continue to improve the RankSense app for Cloudflare, we are always working to make the app more intuitive and easy to use. I'm pleased to share that we have made significant changes to our SEO rules interface in the settings tab of our app. It is now easier to publish multiple rules sheets and to see which changes have not yet been published to production.


How to Find Content Gaps at Scale: Atrapalo vs Skyscanner

For the following Ranksense Webinar, we were joined by Antoine Eripret, who works at Liligo as an SEO lead. Liligo.com is a travel search engine which instantly searches all available flight, bus and train prices on an exhaustive number of travel sites such as online travel agencies, major and low-cost airlines and tour-operators. In this...


Exciting News!
seoClarity acquires RankSense