le SGE and your traffic: 3 SGE recovery cases //

Many articles have been written on Google Search Generative Experience, but the important questions remain unanswered.

This article provides a framework which can help answer these questions. This framework allows us to:

We will share our findings and data, but we’ll also share our framework, which you can use to better understand the risks Google SGE poses for your website and to find solutions.

TL;DR

This article is extensive, as we have tried to provide you with all the information you will need to evaluate the impact of Google SGE, and in case there is a significant traffic drop, to design your own SGE Recovery Project while sharing our own data.

The following are some key points, along with links for more information in this article.


Before


After

The SGE Impact Model

To understand the risks of SGE we need to first understand where our keywords rank in the new experience and how these ranks translate into traffic.

We can determine if organic traffic will drop or grow when Google switches to SGE by comparing the expected traffic to our current traffic.

To achieve this, we built a simple website model that estimates the traffic changes expected across four scenarios. This is an open model that we propose to the community.

The principles listed below can be used by anyone to create an SGE impact spreadsheet in Excel or Google Docs to better understand the effects of SGE on their website, and to get useful insights to help with recovery.

Simplifying assumptions

Google SGE has many unknown parts. It is a complex and large system. We use some simplifying assumptions to model it. Although these assumptions are controversial and not always true, we think they are reasonable because of the thousands of keywords that we observed ranking on SGE.

The CTR and ranking are the two parameters we use to determine “how bad” SGE is for our website.

Click-through Rate (CTR) for SGE

The CTR for different positions on the SGE snapshot is not known. We use two extreme scenarios, one optimistic, and one pessimistic to explore the possibilities.

The table below shows:

The actual rank in SGE

You may have noticed that rankings are very volatile in SGE. Pages can disappear, reappear, or change rank. In some cases the SGE experience will not show up at all. Your page may have a different rank in multiple observations for the same keyword.

We create two “ideal” ranks in our model by taking a set rank observations:

Four scenarios

We have defined four scenarios of SGE’s impact, from the best to the worst, based on these parameters.

Best scenario

Mixed scenario

Mixed scenario

Worst scenario

Selecting keywords

This is an important part of our SGE Model. We want this model to be actionable, i.e. we want to improve and optimize traffic based on its results. We want to identify a few keywords that can “explain” the majority of organic traffic.

Here are some steps to help you find the 20% of words that have 80% impact on your website.

You can use this method to arrive at 10-50 keywords that are responsible for the majority of your SEO traffic (for smaller websites). For larger websites, you may reach hundreds of keywords. You should use these keywords to estimate the impact of SGE.

Then, you should identify strategic keywords. These are keywords which, although they may not have appeared in the analysis above, are still important to the business. We want them to rank well in SGE.

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Results of the SGE Impact Model for 23 Websites

It must make you curious to know what our model predicts in terms of traffic growth (or decline)! You must be curious to see what our model shows in terms of traffic drops (or growth!) The results are:

The following is a list of the datasets.

Agile SEO is a technology-focused agency.

We tested our impact model with 23 clients, including startups and established technology companies.

Each of them has between 100 and 10,000 indexed pages as well as between 1,000 and 300,000 organic monthly visits.

Keywords

The pie chart below shows the expected changes to our client’s most important keywords once SGE is live.

We identified 1,242 keywords with high impact across 23 websites.

It is a shocking fact that 64% strategic keywords or high traffic keywords have lost their ranking in SGE. They do not appear on the SGE snapshot cartousel.

The good news is that 27% of keywords pose no risk. This means that traffic is expected to be the same as today, or even higher. Or that strategic keywords rank roughly the same as today.

A second important finding is that only 8% of all keywords are SGE-free. Multiple studies have shown a similar 8-10%, which indicates that Google activates the SGE for the majority of keywords.

Traffic aggregate in SGE

Below we can see the expected traffic for all 23 websites.

We analyze 628,000 organic monthly visits (driven primarily by the 1,242 keywords with high impact shown above).

The four columns and four bar graphs show our four scenarios.

Even in the best-case scenario, SGE will result in significant traffic reductions.

If we assume the worst on one of our parameters, such as CTR or rank, then those traffic drops will increase by 2X-3X.

Traffic per website (SGE)

The aggregate data conceals important differences between websites.

Below is a chart that shows the data for all 23 websites. It includes the number of keywords with high impact, the current organic traffic and the expected traffic changes in Google SGE.

Some of the 23 websites in our sample actually show traffic growth.

It is because their keywords are more important and rank higher in SGE. This means that they get more traffic than the current situation.

Two of these examples are highlighted in green. Most notably, the website #4 has seen a traffic increase by 219%.

We also saw this in our SGE recovery cases (see below).

Some websites have been very hard-hit – look at the two red examples. Website #16 for example is down by over 90% in all scenarios.

There is a cause for serious concern across all of the websites we sampled. We now move on to the next phase of the discussion. What can we do in response to SGE traffic drop?

A framework for SGE experimentation

Let’s begin at the end. This is the keyword that we optimized to put our client in position 1 of the SGE snapshots carousel.

This page was ranked in Google between positions 1-3 for the keyword “incident response”, but it didn’t rank on SGE.

The page is now consistently ranked in the top 10 in SGE. This has been the case for more than two months.

We need to identify pages that do not rank in SGE and get them ranked as high as they can in the snapshot carousel.

Four rules for an effective SGE experiment

You can use the following conditions to carry out experiments and discover how you can achieve the result above.

This framework might be considered too restrictive, as it doesn’t consider factors that are site-wide or that can’t be changed in a week.

It’s true. But if you find a way to satisfy these rules, and it works, then you will be able to easily recover from SGE traffic drop.

Our SGE experiment results

We conducted an experiment, following the above rules, to try and optimize pages so that they appear in the SGE carousel.

The SGE carousel does not show the keywords that are in the top 10 of Google.

We used two different intervention methods (A & B), which involved both on-page and offline factors. Each intervention included seven keywords.

Parallel to this, we also tested a group of keywords similar in nature on the same website, but without any intervention.

We checked the ranking of the 14 keywords in each Google account before the experiment.

We checked the rankings of seven keywords after intervention A in three Google accounts.

We checked the rankings of 7 keywords after intervention B in three Google accounts.


Control Group:

We checked the SGEsnapshot Carousel for 89 keywords that were not previously ranking.

The odds that a keyword will enter the snapshot carousel “by chance” are 21%. In our experiment, we were able to place 93% (15 out of 16 positions) of the tested positions into the snapshot carousel when SGE was active. This shows that the intervention caused a rank change.

We concluded that the intervention B achieved SGE ranking for keywords in the top 10 list, but not in SGE.


Note

We will not share our technique, as it was designed for a specific application in the SaaS/technology market. Google’s algorithm is known to work differently for keywords and niches.

There will be different techniques in every niche. We have shared our general framework for experimenting, so that anyone can find the right technique to fit their particular use case.

SGE Recovery Project Process

This process can be used to design a complete SGE recovery for a site once you have found a technique that is repeatable and can help you achieve SGE rankings for high-impact keywords:

Step 1. Perform SGE impact analysis as shown in (above).

Step 3: Create a list with keywords that are:

Step 3 : Prioritize the keywords in this order:

Step 4: Optimize existing pages using your experimental technique.

Step 6: Other ways to achieve SGE rank

Step 6. Run the SGE impact analysis again and check if:

We have used this process successfully for several clients since we first discovered it. Here are some of the results that we achieved.

Three SGE Recovery Case Studies

We were focused on saving our clients’ traffic from expected drops as soon as we realized the threat of SGE. We are proud to announce that we have successfully completed three SGE recovery projects.

Note We do not share the names or domains our clients in order to protect their privacy. We can share this information in confidence with the media or potential clients. Please contact us if you’re interested.

Case 1: Cloud Native Developer Tool, 175,000 organic monthly sessions


Background


SGE Impact Analysis


Evaluation

In the best case scenario, we have reduced the risk to this client. Two other scenarios still pose a significant risk. You can continue to optimize keywords and reduce the risk in all scenarios.

Case 2: Enterprise Cloud Platform, 35,000 organic monthly sessions


Background


SGE Impact Analysis


Evaluation

We were able to turn SGE Impact around, from a massive drop in traffic to a possible increase of almost 100 % in organic traffic (in the best scenario).

We also saved 17 strategic keywords which were losing their visibility in SGE.

Case 3: Cybersecurity Solution, 15,000 Organic Sessions per Month


Background


SGE Impact Analysis


Evaluation

This is an example where a relatively minor drop in SGE traffic was greatly mitigated by optimising only four pages.

This highlights the importance of focusing your efforts on the right keywords in order to recover SGE.

Final thoughts and Next Steps

We haven’t seen any concrete advice on how SGE affects websites or what they can do in order to recover.

This article will hopefully help you to understand Google SGE from three different perspectives:

SGE Recovery Webinar

This article is intended to inspire a community-wide effort to collect more data and develop solutions for SGE across a range of niches.

SEO: Here’s to another 20 years!

The post Google SGE and your traffic: 3 SGE Recovery Case Studies first appeared on Search Engine land.

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