Key Takeaways:
- SEO tracking tools miss real search experiences due to Google’s personalization, which tailors results based on location, history, and engagement.
- "Generic" rank tracking overlooks key personalization factors, like IP-based localization and account-level search history, leading to inconsistent SERPs.
- Businesses must diversify SEO tracking, using real-user data, localized testing, and behavioral insights for a more accurate search performance view.
Many SEO practitioners may have observed a recent trend: frequent, unannounced shifts in Google’s search algorithm that seem to occur almost constantly.
However, rank-tracking tools and SEO “weather reports” often fail to detect these changes — or they conversely show extreme fluctuations when no noticeable traffic changes occur.
A simple experiment may demonstrate this discrepancy.
If multiple logged-in users from different states or countries searched for the same query and compared results, they would likely see vastly different search engine results pages (SERPs).
This phenomenon can be explained by one key factor: personalized “individual” search results are now FAR more diverse than so-called “generic” SERPs.
How Google’s Personalization Affects Search
There is a logical explanation for this. Google is now processing a lot more local signals, and this perhaps goes as far as IP address profiling.
This means certain IP addresses may receive personalized results based on local signals and previous search engagement metrics from the same IP range.
When users are logged in to their Google account, they will see results based on their browsing history and their previous searches.
Google search results are pretty personalized. Especially for generic terms. https://t.co/4EmWZRiY1Rpic.twitter.com/tRtodxbxA8
— Sai Krishna (@_skris) September 5, 2024
When you mix these two levels of personalization together, you get radically different sets of results — there are going to be similarities and differences, but the key to understanding why rank trackers are so different is this:
- Large rank-tracking tools or web scrapers will typically use a fixed set of rotating IP addresses and proxies, creating an artificial set of results, let’s call these “generic” search results.
- They tend to search for a vast array of different topics — often many times per day or week — removing all natural human-level signals and only showing the IP-level personalization which is only a tiny little sliver of actual search behavior.
- The same case occurs when multiple users access the internet through the same IP, such as in VPNs and corporate networks or shared public Wi-Fi. The personalization of such results tends to be more “generic.”
However, individual users with their unique browsing histories and search patterns experience a significantly more tailored SERP, even when using incognito mode.
This personalization therefore happens at the IP level and User account level.
This is what’s happening to SEO traffic after Google rolled out AI Overviews.
— Neil Patel (@neilpatel) June 5, 2024
We checked out search data from our SMB clients in e-commerce and local services in the US.
Here’s what we found from the AI Overview launch:
Key Metrics:
Impressions: Went down.
Clicks & CTR: Went… pic.twitter.com/ge5iczaSjQ
Despite the assumption that incognito browsing removes personalization, Google can still infer a user’s location through their IP address and apply localization signals accordingly.
To put it simply, the incognito data set is indirectly influenced by your logged-in searches.
While the core set of URLs in search rankings may remain stable at an algorithmic level, personalization is applied afterward, leading to dramatic variations between regions.
Certain keywords, particularly those classified as location-sensitive (such as “divorce lawyer”), are likely to be impacted more by personalization than location-agnostic terms like book titles or animal names.
This may even occur in real time based on various local signals, further widening the gap between ranking tools and actual user experiences.
The SEO keyword died, but no one noticed. 🪦
— Kevin_Indig (@Kevin_Indig) February 3, 2025
👎I'm not saying we should stop rank tracking, but how much sense does keyword obsession make when...
1. one page can rank for 1,000s of keywords?
2. more keywords result in zero clicks?
3. search moves from results to LLM answers? pic.twitter.com/XqQNZKphC8
For instance, if you search for a product or service, the results you see can be influenced by your location, your previous searches, or even the device you're using.
This means that two people searching for the same thing in different cities could see different results, even though they're searching for the exact same terms.
As a result, SEO tools that rely on a fixed set of data may not capture these personalized changes, leading to a disconnect between what businesses track in their rankings and what customers see in their search results.
Additionally, clickstream or panel-based data providers — those that blend real-user data with generic SERP data — tend to offer a more accurate representation of search rankings.
What This Means for Businesses and Advertisers
Given the growing influence of personalization, businesses relying solely on SEO rank trackers may find themselves increasingly disconnected from the reality of search, making it harder for them to know how they’re truly performing online.
The growing divergence between SEO tracking tools and real user experiences presents several challenges:
- Unreliable Rankings & Traffic Data: SEO tools may show rankings that don’t match what real users see, leading businesses to make decisions based on misleading information.
- Less Effective Marketing: Without accurate insights, creating targeted campaigns becomes more complex, making it difficult to engage the right audience.
- Wasted Resources: Businesses may invest in SEO strategies that don’t deliver positive results because search rankings vary based on location and user behavior.
- Difficult ROI Measurement: If SEO data doesn’t reflect actual user interactions, it becomes challenging to track success and justify marketing spend.
How's SGE going to change SEO?
— iPullRank Digital Marketing Agency (@iPullRankAgency) April 24, 2024
• Consider the cost per query (it's expensive - h/t @BrendanOConnel)
• CTR and the search demand curve will be impacted
• Rank tracking will be far more complex pic.twitter.com/DxqjpC3jIw
To address these challenges, businesses should diversify SEO tracking methods by incorporating real-user data, location-based testing, and analytics from multiple sources instead of relying solely on rank-tracking tools.
Prioritizing local SEO strategies — such as optimizing your Google Business Profile and creating region-specific content — can help improve visibility in personalized search results.
Monitoring real user behavior through engagement metrics like click-through rates and conversions also provides a more accurate measure of success than keyword rankings alone.
Additionally, businesses should test search results across different locations and devices to gain a clearer picture of how their audience finds them.
As Google’s personalization continues to evolve, adapting to these changes will be crucial for maintaining a strong search presence and driving meaningful traffic.
With LLM-powered search shaping the future of results, it’s important to recognize that these models are non-deterministic — meaning their outputs can vary with each query.
This unpredictability introduces more dynamic and diverse search experiences over time, making adaptability even more essential.
Last year, SEO practitioners were abuzz after a Google algorithm leak revealed contradictions and inconsistencies with the tech giant's previous claims about how its search ranking works.
