What Is Google Fred?

Google Fred is an algorithm update that targets black-hat tactics tied to aggressive monetization. This includes an overload on ads, low-value content, and little added user benefits. This does not mean all sites hit by the Google Fred update are dummy sites created for ad revenue, but (as Barry Schwartz noted in his observations of Google Fred) the majority of websites affected were content sites that have a large amount of ads and seem to have been created for the purpose of generating revenue over solving a user’s problem.

Which Websites were Affected by FRED?

The majority of the websites affected had one (or more) of the following:

• An extremely large presence of ads
• Content (usually in blog form) on all sorts of topics created for ranking purposes
• Content has ads or affiliate links spread throughout, and the quality of content is far below industry-specific sites
• Deceptive ads (looks like a download or play button to trick someone into clicking)
• Thin content
• UX barriers
• Mobile problems
• Aggressive affiliate setups
• Aggressive monetization

How to Tell Your Site Affected By the Google Fred Algorithm Update?

If you saw a large drop in rankings and organic traffic around the middle of March and are guilty of one of the above, your site was probably impacted.

Google Fred Recovery

The Google Fred algorithm is focused on limited black-hat SEO tactics for aggressive monetization, so the biggest fix is to scale down your ads and increase the quality of your content.

For a full Google Fred recovery, we recommend:

• Scaling back the amount of ads on your site
• Review the Google Search Quality Rater Guidelines (QRG) and follow them as closely as you possibly can
• Review the placement of ads on your site. Do they contribute to poor user experience?
• Review the user experience of your site, and make a schedule to do this periodically. Keep upping the ante of your content
• Review the content to be sure it serves a purpose, and that purpose is outlined in the form of metadata and tags

The number one thing you can do is to manually browse through your site. Is it user-friendly? Are you greeted by ads everywhere you go? Is your content scraped or extremely thin? Think about your users. If it’s not something you would enjoy seeing on other websites, you need to take it off of yours.

What are the Best Google Fred Update SEO Tactics?

If you’re looking for Fred update SEO tactics, we recommend you memorize the Google Quality Rating Guidelines and be sure every piece of content on your site is compliant with the best practices. These are the factors Google considers extremely important when it comes to quality:

• Clear indication of who the website belongs to
• Clear indication of what the page is about
• A well-maintained and updated page, which means it’s error-free, loads quickly, and has few technical errors
• Excellent website reputation (quality of backlinks, industry awards, positive user reviews, and expert testimonials all contribute to excellent reputation)
• Content that demands at least one of the following: time, effort, expertise, and talent/skill

Source: Bluecorona

Major Google SEO Updates & Algorithm Changes from 2009 to 2017

Google has a long history of famous algorithm updates, search index changes and refreshes.

2017 Updates

• Snippet Length Increase — November 30, 2017
• Featured Snippet Drop — October 27, 2017
• Chrome HTTPS Warnings — October 17, 2017
• Google Tops 50% HTTPS — April 16, 2017
• "Fred" (Unconfirmed) — March 8, 2017
• Intrusive Interstitial Penalty — January 10, 2017

2016 Updates

• Penguin 4.0, Phase 2 — October 6, 2016
• Penguin 4.0, Phase 1 — September 27, 2016
• Penguin 4.0 Announcement — September 23, 2016
• Image/Universal Drop — September 13, 2016
• "Possum" — September 1, 2016
• Mobile-friendly 2 — May 12, 2016
• AdWords Shake-up — February 23, 2016

2015 Updates

• RankBrain* — October 26, 2015
• Panda 4.2 (#28) — July 17, 2015
• The Quality Update — May 3, 2015
• Mobile Update AKA "Mobilegeddon" — April 22, 2015

2014 Updates

• Pigeon Expands (UK, CA, AU) — December 22, 2014
• Penguin Everflux — December 10, 2014
• Pirate 2.0 — October 21, 2014
• Penguin 3.0 — October 17, 2014
• "In The News" Box — October 1, 2014
• Panda 4.1 (#27) — September 23, 2014
• Authorship Removed — August 28, 2014
• HTTPS/SSL Update — August 6, 2014
• Pigeon — July 24, 2014
• Authorship Photo Drop — June 28, 2014
• Payday Loan 3.0 — June 12, 2014
• Panda 4.0 (#26) — May 19, 2014
• Payday Loan 2.0 — May 16, 2014
• Page Layout #3 — February 6, 2014

2013 Updates

• Authorship Shake-up  —  December 19, 2013
• Penguin 2.1 (#5)  —  October 4, 2013
• Hummingbird  —  August 20, 2013
• In-depth Articles  —  August 6, 2013
• Knowledge Graph Expansion  —  July 19, 2013
• Panda Recovery  —  July 18, 2013
• "Payday Loan" Update  —  June 11, 2013
• Panda Dance  —  June 11, 2013
• Penguin 2.0 (#4)  —  May 22, 2013
• Domain Crowding  —  May 21, 2013
• "Phantom"  —  May 9, 2013
• Panda #25  —  March 14, 2013
• Panda #24  —  January 22, 2013

2012 Updates

• Panda #23  —  December 21, 2012
• Knowledge Graph Expansion  —  December 4, 2012
• Panda #22  —  November 21, 2012
• Panda #21  —  November 5, 2012
• Page Layout #2  —  October 9, 2012
• Penguin #3  —  October 5, 2012
• Panda #20  —  September 27, 2012
• Exact-Match Domain (EMD) Update  —  September 27, 2012
• Panda 3.9.2 (#19)  —  September 18, 2012
• Panda 3.9.1 (#18)  —  August 20, 2012
• 7-Result SERPs  —  August 14, 2012
• DMCA Penalty ("Pirate")  —  August 10, 2012
• Panda 3.9 (#17)  —  July 24, 2012
• Link Warnings  —  July 19, 2012
• Panda 3.8 (#16)  —  June 25, 2012
• Panda 3.7 (#15)  —  June 8, 2012
• Penguin 1.1 (#2)  —  May 25, 2012
• Knowledge Graph  —  May 16, 2012
• Panda 3.6 (#14)  —  April 27, 2012
• Penguin  —  April 24, 2012
• Panda 3.5 (#13)  —  April 19, 2012
• Panda 3.4 (#12)  —  March 23, 2012
• Search Quality Video  —  March 12, 2012
• Panda 3.3 (#11)  —  February 27, 2012
• Venice  —  February 27, 2012
• Ads Above The Fold  —  January 19, 2012
• Panda 3.2 (#10)  —  January 18, 2012

2011 Updates

• Panda 3.1 (#9)  —  November 18, 2011
• Query Encryption  —  October 18, 2011
• Panda "Flux" (#8)  —  October 5, 2011
• Panda 2.5 (#7)  —  September 28, 2011
• Pagination Elements  —  September 15, 2011
• Expanded Sitelinks  —  August 16, 2011
• Panda 2.4 (#6)  —  August 12, 2011
• Panda 2.3 (#5)  —  July 23, 2011
• Google+  —  June 28, 2011
• Panda 2.2 (#4)  —  June 21, 2011
• Schema.org  —  June 2, 2011
• Panda 2.1 (#3)  —  May 9, 2011
• Panda 2.0 (#2)  —  April 11, 2011
• The +1 Button  —  March 30, 2011
• Panda/Farmer  —  February 23, 2011
• Attribution Update  —  January 28, 2011

2010 Updates

• Negative Reviews  —  December 1, 2010
• Social Signals  —  December 1, 2010
• Instant Previews  —  November 1, 2010
• Google Instant  —  September 1, 2010
• Brand Update  —  August 1, 2010
• Caffeine (Rollout)  —  June 1, 2010
• Google Places  —  April 1, 2010

2009 Updates

• Real-time Search  —  December 1, 2009
• Caffeine (Preview)  —  August 1, 2009
• Vince  —  February 1, 2009
• Rel-canonical Tag  —  February 1, 2009

‘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