Is Google Search Deteriorating? Measuring Google's Search Quality...
- January 12, 2022
- General
AI Summary
The question of whether Google search is deteriorating is a debate about perceived quality, popularized in communities like r/degoogle, versus what you can actually measure. The honest answer is that some complaints hold up under measurement and others are perception, so the useful move is to measure task success rather than argue from vibes.
- Common complaints include more ads, SEO spam, mass produced content, and big brands crowding out small sites.
- You can test quality yourself with query success rate, time to answer, pogo sticking, and result diversity.
- Google has shipped anti spam and helpful content systems in response, so the picture keeps shifting.
- For searchers and SEOs alike, the practical response is to measure outcomes and adapt, including toward AI answer engines.
Is Google Search Deteriorating? Measuring Google's Search Quality... provides valuable insights for SEO practitioners. This resource examines approaches and considerations that can improve organic search performance.
Key Concepts
Understanding the fundamental principles behind this topic helps inform strategic decisions. Whether optimizing for traditional search or emerging AI platforms, foundational concepts remain relevant. This resource covers the essential knowledge practitioners need.
Implementation Considerations
Moving from concept to execution requires understanding practical constraints and opportunities. Different situations call for different approaches. This resource provides guidance for applying concepts in real-world contexts.
Measuring Impact
SEO efforts require measurement to demonstrate value and guide optimization. Identifying appropriate metrics, establishing baselines, and tracking progress enables data-driven improvement. This resource addresses how to evaluate success.
This resource contributes to the knowledge base SEO practitioners need for effective optimization in an evolving search landscape.
Source: https://reddit.com/r/degoogle/comments/s1698w/is_google_search_deteriorating_measuring_googles/
Where the debate comes from
The linked r/degoogle discussion is part of a long running argument that Google search quality has slipped. It is worth reading as a snapshot of user sentiment, and the summary above preserves that framing. What the thread cannot do, and what most of these debates skip, is separate perception from measurement. People remember the one query that failed and generalize, and the interface genuinely has more ads and features competing with the ten blue links, which changes how results feel even when relevance is steady.
So the productive question is not is search worse in the abstract, but worse at what, for whom, and measured how. That reframing is what turns a complaint thread into something you can act on.
The complaints that tend to hold up
Several criticisms are supported by observable changes rather than nostalgia:
- More of the first screen is not organic. Ads, shopping units, and answer features push traditional results down, so the same relevance can feel less accessible.
- Programmatic and thin content proliferated. Affiliate roundups and templated pages targeted high intent queries, which is exactly the pattern Google spam and helpful content systems later targeted.
- Mass produced AI content raised the volume of low value pages. This is a newer pressure than the original thread, and it made result curation harder before detection caught up.
Other complaints are shakier. Claims that Google deliberately worsens results to serve more ads are not something an outside observer can measure, and much of the frustration comes from harder queries and higher expectations rather than a drop in relevance.
How to measure search quality yourself
Instead of arguing, run a small structured test. Pick a set of real tasks you care about and score each one:
| Metric | What it captures | How to record it |
|---|---|---|
| Query success rate | Did you complete the task at all | Mark each task solved or not solved |
| Time to answer | Effort the result set demanded | Seconds from query to a satisfying answer |
| Pogo sticking | How often results failed you | Count returns to the results page per task |
| Result diversity | Whether one type of site dominates | Unique domains in the top ten |
| Reformulations | How well the first query worked | Number of rephrasings needed |
Run the same tasks on more than one engine, and repeat the test over time. A single bad session tells you nothing, but a scored set of tasks measured monthly tells you whether quality is moving for the queries you actually run. Pogo sticking in particular is a signal Google itself watches, which is why we cover it in the guide to how engines choose sources.
What has changed since this discussion
The original thread predates several shifts that reshaped the debate. Google rolled out helpful content and stronger spam systems aimed squarely at the thin and templated pages people complained about. Reviews and product results were tightened to reward first hand experience. At the same time, mass produced AI content arrived at scale, creating a new wave of low value pages that detection had to catch up with. Most consequentially, AI Overviews and answer engines now sit on top of the results, so for many queries the experience is no longer ten blue links at all. That connects the deterioration debate to a bigger strategic question we unpack in SEO versus AEO versus GEO: search is not just changing quality, it is changing shape.
What this means for SEOs
If users are measuring task success, so should you. Build pages that let someone finish the job quickly, keep the answer near the top, and earn the trust signals that survive spam updates. The sites that win the deterioration debate are the ones that make a searcher glad they clicked, which is also what gets you cited by AI answer engines.
Frequently asked questions
Is Google search actually getting worse?
It depends on what you measure. Some complaints, such as more ads on the first screen and a wave of thin or AI generated pages, are supported by observable changes. Others are perception driven by harder queries and higher expectations, so the honest answer is to measure task success rather than argue from a single bad session.
How can I measure whether search quality is declining?
Pick a set of real tasks and score each on query success rate, time to answer, pogo sticking, result diversity, and reformulations needed. Run the same tasks over time and across engines, because a single session is noise while a scored, repeated test is signal.
Why does Google search feel worse than it used to?
The first screen now holds ads, shopping units, and answer features that push organic results down, so relevance can feel less accessible even when it is steady. A rise in thin and mass produced content also made low value pages more visible before detection caught up.
What has Google done about search quality complaints?
Google shipped helpful content and stronger spam systems targeting thin and templated pages, tightened reviews to reward first hand experience, and added AI Overviews. These changes keep shifting the picture, so the debate is a moving target rather than a settled verdict.
Does AI content make search quality worse?
Mass produced AI content increased the volume of low value pages, which made curation harder until detection improved. Well made content that demonstrates real experience still performs, so the problem is low quality at scale rather than AI assistance itself.
Should I switch away from Google?
That is a personal choice, and the r/degoogle community explores alternatives for privacy and quality reasons. From an SEO standpoint, the more useful response is to measure outcomes on the engines your audience uses, including AI answer engines, and optimize for them.
Claude Vincent is a technical SEO consultant focused on crawlability, rendering, and AI-search visibility. He writes the field guides and case studies at SEO ProCheck, with a bias toward the durable, unglamorous work that decides whether search engines and AI answer engines can actually read and cite a site.
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