‘Hawk’ Google Local Algorithm Update

Have you noticed a recent shift in Google's local search results?

August 22, 2017: The day the ‘Hawk’ Google local algorithm update swooped in

‘Hawk’ Google Local Algorithm Update

The update, which I have dubbed “Hawk,” was a change to the way the local filter works. To get some history here, Google actively filters out listings from the local results that are similar to other listings that rank already. Basically, Google picks the most relevant listing of the bunch and filters the rest. It’s very similar to what they do organically with duplicate content. (Note: Google is typically loath to confirm algorithm updates, usually only saying that it rolls out several updates every day, so these observations are based on an analysis of how local results have changed rather than on any official announcement or acknowledgment.)

The filter has existed for a long time to help ensure that multiple listings for the same company don’t monopolize the search results. In September 2016, the Possum algorithm update made a significant change to the way the filter works. Instead of just filtering out listings that shared the same phone number or website, Google started filtering out listings that were physically located near each other.

This was very problematic for businesses. It meant that if another business in your industry was in the same building as you — or even down the street from you — that could cause you to get filtered out of local search results. Yep, that means your competitors could (inadvertently) bump your listing!

On August 22, 2017, Google refined the proximity filter to make it stricter. It still appears to be filtering out businesses in the same building, but it is not filtering out as many businesses that are close by.

Who is still filtered?

Naturally, this update didn’t help everyone. Although it tightened the distance needed to filter a similar listing, it didn’t remove it completely. I’m still seeing listings that share an address or building being filtered out of local search results. I also see the filtering problem persisting for a business that is in a different building that’s around 50 feet away from a competitor.

Why ‘Hawk?’

The local search community settled on the name “Hawk” for this algorithm update, because hawks eat possums. This is one of the few times where I don’t see any negative outcomes as a result of this update and just wish Google hadn’t taken a year to realize the proximity filter was way too broad.

Source: Search Engine Land

7 Major Factors to Improve Page Speed Score.

Page speed is a measurement of how fast your site loads on browser Or the content on your page loads. let me tell you first what is page speed, and how it's matter in SEO Or Ranking for a website in 2019.

What is Page Speed?

Page speed is often confused with "site speed," which is actually the page speed for a sample of page views on a site. Page speed can be described in either "page load time" (the time it takes to fully display the content on a specific page) or "time to first byte" (how long it takes for your browser to receive the first byte of information from the web server).

No matter how you measure it, faster page speed is better. Many people have found that faster pages both rank and convert better.

SEO Best Practices

Google has indicated site speed (and as a result, page speed) is one of the signals used by its algorithm to rank pages. And research has shown that Google might be specifically measuring time to the first byte as when it considers page speed. In addition, a slow page speed means that search engines can crawl fewer pages using their allocated crawl budget, and this could negatively affect your indexation.

Page speed is also important to user experience. Pages with a longer load time tend to have higher bounce rates and lower average time on page. Longer load times have also been shown to negatively affect conversions.

Here are some of the many ways to increase your page speed:

1. Enable compression

Use Gzip, a software application for file compression, to reduce the size of your CSS, HTML, and JavaScript files that are larger than 150 bytes.

Do not use gzip on image files. Instead, compress these in a program like Photoshop where you can retain control over the quality of the image. See "Optimize images" below.

2. Minify CSS, JavaScript, and HTML

By optimizing your code (including removing spaces, commas, and other unnecessary characters), you can dramatically increase your page speed. Also remove code comments, formatting, and unused code. Google recommends using YUI Compressor for both CSS and JavaScript.

3. Reduce Redirects

Each time a page redirects to another page, your visitor faces additional time waiting for the HTTP request-response cycle to complete. For example, if your mobile redirect pattern looks like this: "example.com -> www.example.com -> m.example.com -> m.example.com/home," each of those two additional redirects makes your page load slower.

4. Leverage browser caching

Browsers cache a lot of information (stylesheets, images, JavaScript files, and more) so that when a visitor comes back to your site, the browser doesn't have to reload the entire page. Use a tool like YSlow to see if you already have an expiration date set for your cache. Then set your "expires" header for how long you want that information to be cached. In many cases, unless your site design changes frequently, a year is a reasonable time period. Google has more information about leveraging caching here.

5. Improve server response time

Your server response time is affected by the amount of traffic you receive, the resources each page uses, the software your server uses, and the hosting solution you use. To improve your server response time, look for performance bottlenecks like slow database queries, slow routing, or a lack of adequate memory and fix them. The optimal server response time is under 200ms. Learn more about optimizing your time to first byte.

6. Use a content distribution network

Content distribution networks (CDNs), also called content delivery networks, are networks of servers that are used to distribute the load of delivering content. Essentially, copies of your site are stored at multiple, geographically diverse data centers so that users have faster and more reliable access to your site.

7. Optimize images

Be sure that your images are no larger than they need to be, that they are in the right file format (PNGs are generally better for graphics with fewer than 16 colors while JPEGs are generally better for photographs) and that they are compressed for the web.

Use CSS sprites to create a template for images that you use frequently on your site like buttons and icons. CSS sprites combine your images into one large image that loads all at once (which means fewer HTTP requests) and then display only the sections that you want to show. This means that you are saving load time by not making users wait for multiple images to load.

Source: SEOMoz

Latent Semantic Indexing

Latent Semantic Indexing (LSI) is a mathematical method used to determine the relationship between terms and concepts in content. The contents of a web-page are crawled by a search engine and the most common words and phrases are collated and identified as the keywords for the page.

LSI looks for synonyms related to the title of your page. For example, if the title of your page was “Classic Cars”, the search engine would expect to find words relating to that subject in the content of the page as well, i.e. "collectors", "automobile", "Bentley", "Austin" and "car auctions".


When you search an LSI-indexed database, the search engine looks at similarity values it has calculated for every content word, and returns the documents that it thinks best fit the query. Because two documents may be semantically very close even if they do not share a particular keyword, LSI does not require an exact match to return useful results. Where a plain keyword search will fail if there is no exact match, LSI will often return relevant documents that don't contain the keyword at all.

What Is Latent Semantic Indexing, and How Will It Boost Your Overall SEO Strategy?

Latent Semantic Indexing is not rocket science, it is simple common sense. Here are some simple guidelines:

1. If your page title is Learn to Play Tennis, make sure your article is about tennis.
2. Do not overuse your keywords in the content. It could look like keyword stuffing and the search engines may red flag you.
3. Never use Article Spinning Software – it spits out unreadable garble.
4. If you outsource your content, choose a quality source.
5. Check Google Webmaster Tools and see what keywords your pages are ranking for.

Latent Semantic Indexing is not a trick. You should bear it in mind when adding content to a web page, but do not get paranoid about it. The chances are if you provide quality, relevant content you will never have to worry about falling foul of and LSI checks.

Source: Search Engine Journal