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          Search engine optimization (SEO) helps businesses drive visits to their website through organic search traffic. Given that the top organic search results receive a third of the clicks, a decline in ranking could be detrimental for your business. Implementing SEO best practices on your website will help to ensure that your web content is seen by as many potential customers as possible. The more visitors you have, the better your chances are of converting those visits into sales!

          Local search engine optimization (SEO) helps local businesses gain visibility by optimizing their local business listings for local search. A business that leverages local SEO will include its address, phone number, local opening times, and exact location in the form of a local citation. The goal is to rank for local searches which are usually performed by people in a specific geographical region looking for a business near them.

          We typically see results within the first 30 to 60 days, but when it comes to SEO, there are many factors at play. It's important to remember that SEO is a long-term strategy and results may not come as fast at you wish.

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          Digital advertising uses the internet to send advertisements to customers who are online through different websites and social media platforms like Google, Bing, LinkedIn and Facebook.

          The price for Google Ads management depends on the monthly ad spend. For accounts with $1,000 in monthly ad spend, the price is $550/month. Between $1,000 and $5,000 a month in ad spend, the price is $950/month. For $5,000 to $10,000 a month in ad spend, the price is $2,000/month. For more than $10,000 a month in ad spend, the price is $4,500/month.

          The price for Social Media Ads management depends on the monthly ad spend. For accounts with $1,000 in monthly ad spend, the price is $550/month. Between $1,000 and $5,000 a month in ad spend, the price is $950/month. For $5,000 to $10,000 a month in ad spend, the price is $2,000/month. For more than $10,000 a month in ad spend, the price is $4,500/month.

        • FAQs

          This depends on the complexity and size of a redesign and if eCommerce is needed. On average, it takes around 14-18 weeks from the web design intensive stage to launch.

          If your website experiences the following issues: it’s not responsive on all devices, has a slow loading speed, the design appears old and tired, users don’t spend long on the site, sales are stagnant, or your business is going through a rebranding - your website needs a redesign to boost your brand awareness and sales.

          Sometimes there’s no need to rebuild a website. Minor edits, refreshing page content and images, or restructuring page layout for SEO best practices can boost traffic and sales.

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          Semantic search launched in 2013 with the release of Google's Hummingbird update. Since then, Google's search engine has become more complex. The integration of machine learning, with RankBrain, and NLP, with BERT, has enabled the search engine to better understand the context of a query and deliver more personalized and targeted results. Semantic SEO is the process of creating machine-readable content using structured data and linked open data to help search engines better understand your content.

          On-page SEO is the practice of optimizing individual web pages in order to rank higher and earn more relevant traffic in search engines. On-page SEO refers to both the content and HTML source code of a page that can be optimized, as opposed to off-page SEO which refers to links and other external signals. From meta tags to page content, website structure, and HTML, on-page optimization services are focused on making your website more visible to search engines.

          Structured data refers to any organized data that conforms to a certain format, such as information in a relational database. When information is highly structured and predictable, search engines can more easily organize and display it in creative ways. Structured data involves using a piece of code that is laid out in a specific format easily understood by search engines. The search engines read the code and use it to display search results in a more dynamic way.

        • FAQs

          An SEO agency has experts in different areas of search engine optimization that may be out of the realm of your marketing team's abilities. SEO can be very complex and time-consuming. Furthermore, as search engine algorithms change it can be difficult to stay current on the latest ranking factors and strategies for improving online visibility. You will likely see a greater return on investment and better results from using a professional SEO agency than you would from tackling this on your own.

          As a digital marketing agency, SMA Marketing provides products and services in four areas: SEO, Local SEO, Digital Advertising, and Web Design

          We focus on building authentic, long-lasting relationships with our clients. We’re goal oriented and results driven and believe in doing good and making a difference in the world.

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The Impact of NLP on SEO

The rise of big data and better processing has enabled computers to become smarter and more powerful tools. Google and other search engines have been leveraging big data for years. Today’s search engines are smarter than ever and use Machine Learning (ML) and Natural Language Processing (NLP) to better grasp user intent and deliver more targeted results.

SEO has been and still is about optimizing a site or page for a user and a search algorithm. As user behavior online has changed over the years, so has the technology that runs the search engines. Those in the search field that isn’t keeping up will quickly be left behind. In today’s video, I’ll share why NLP is a big deal for SEO.

Video Transcript:

Hey, what’s going on everybody? Welcome to Hack My Growth. In today’s episode, we’re going to be talking about the impact of NLP on SEO.

Hey, thanks so much for joining us. If this is your first time, we would love for you to hit the subscribe button. Each and every week we post a new video on how to take advantage of all the amazing things that the digital marketing atmosphere has for us and how we can leverage them to help grow our business.

Today is no different. Today we’re going to be talking about NLP and its impact on SEO.

Now you might be wondering, “Okay man, what’s with all of these acronyms? What do these mean?” NLP stands for a lot of things, but in this case, it’s going to stand for Natural Language Processing. NLP is a very cool machine learning tool and capability that we have available now because of big data.

Big data has exploded over the last couple of years, and now we can leverage that data to understand text as we’ve never understood it before. We can also understand websites as we’ve never understood them before, and understand multimedia assets as we’ve never had an opportunity to do before.

So what’s its impact on SEO? Well, one of the most significant impacts it has with Google is using NLP to understand the web and website assets better. Because they can better understand them and categorize these different pieces of content, it’s going to rank differently because the algorithm is going to understand it differently. This is a little bit more of how RankBrain is working and impacting search in a big way.

If we look at Natural Language Processing, there are a number of things that are going on. We’re going to talk about five of the things that you can do right now using Google’s REST API inside of Google Cloud. You’re able to use this for yourself as well if you want to do some research or go deeper into the process. But maybe if you’re not a programmer, or you don’t want to go that deep, but you want to understand what’s going on, this will help you better understand what’s happening behind the scenes.

What it can do is, first it can do syntax analysis. It can break down the structure of sentences, and content, and also understand what the context is. What’s a verb, where the adverbs are, understand the syntax of how the sentence was written, and understand how the formation of the content was made? This is really important because now its understanding is a well-written piece of content. Did this person use the right grammar? What kind of audience would this be appropriate for? Based on understanding the syntax of that sentence.

It also has the ability to do entity recognition. So, this is an image. It also has the ability to go, “Okay, what’s in this image?” This is a video, “What’s in this video?” Now, NLP allows, with the leveraging of big data, to understand these entities like never before. They’re starting to understand the text inside of images, understanding what is that image without having to put an ALT tag or a title tag. These are things that we’ve done a long time in the history of search, and now we’re having computer machine learning do a lot of this for us

Sentiment analysis. Now, this is a big one. This is going to try to understand the feelings behind the content. What’s the emotion behind the content? They’re using this in a lot of reviews. Is this a positive review or a negative review or a neutral review? Is this a strongly negative review or a kind of mediocre negative review? Is this a strong positive piece of content, or just not one side or the other?

This sentiment analysis is really important, especially if you’re a content producer because we want to look at how this content’s impacting how people react in search, how people react to our content and understanding, and whether are we really pulling or hitting those emotional triggers to help bring people into our fold, help bring people into what we’re doing online.

Sentiment analysis is something that NLP is doing and looking at content and saying, “Is this content emotionally appealing?” That’s a very powerful thing when we start to talk about search, and we start to talk about digital marketing and content marketing.

It’s also able to do content classification. It’s able to read content and say, “This is a marketing piece,” or, “This is an audible piece,” or, “This is an engineering piece.” It’s going to be able to do that now without us having to tell the subject matter.

Now, yes we want to continue markup of our content and use schema because the more data we feed Google about our piece, the better picture they’re going to have about it. But left on its own, it’s doing these things, so we need to understand what’s going on.

It also has multiple language support. So if your site is in multiple languages, it’s going to be able to understand these things whether it’s in English, Spanish, Portuguese, or whatever language you may be using.

What can we do as SEOs? Well, we need to write for the users. People have been saying this for years, but a majority of people still don’t do it. They go, “I have a blog just because I need to have fresh content.” If the only reason you’re posting is to have fresh content, but you’re not putting time into good content, stop posting. Stop posting, rethink your strategy, and write for the users. Understand their pain points, understand their needs, understand what they want, and then deliver that to them. If you can’t do it, find somebody who can.

That’s a really important tip. Don’t just add noise to add noise; context is king. Make sure that your content makes sense within the context of the people reading it. Don’t just throw stuff out there because you think that they need to know it. Again, don’t only publish noise. Google focuses on, how can we feel what the user’s feeling. How can we understand the emotional sentiment that they have going into a search, and then deliver the most emotionally appropriate response?

That may seem crazy, and it’s not going to be perfect all the time, but that’s what they’re trying to do. As content marketers, digital marketers, and as SEOs, it’s our job to give people the best experience possible, to deliver the best piece of information possible, the most truthful information possible. If you do those things and slow down your process to take time to write better content, create a better web experience, do better images, and have better video, you’re going to give better information to the algorithm. Which is then going to hopefully give you better results.

This is just the tip of the iceberg. We’re going to be doing a lot more studies in NLP, in machine learning, to understand how we can leverage it to be better marketers online. If you’ve got any questions, please comment below. We would love to have you as part of the conversation, as part of our community, so please subscribe. Until next time, Happy Marketing.

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