Google search is losing the fight with SEO spam, study says
arstechnica.com
arstechnica.com
Google Search Has Gotten Worse, Researchers Find - https://news.ycombinator.com/item?id=39040559 - Jan 2024 (23 comments)
Researchers confirm what we already knew: Google results are getting worse - https://news.ycombinator.com/item?id=39031691 - Jan 2024 (66 comments)
Is Google Getting Worse? A Longitudinal Investigation of SEO Spam in Search [pdf] - https://news.ycombinator.com/item?id=39013497 - Jan 2024 (271 comments)
I have to manually request indexing in order for my months old blog posts to show up on Google. I went from 1 appearance in search results every few days to 15 per day just by manually requesting indexing on my recent blog posts.
But what I find confusing is that even when I do this, Google won’t follow any links it finds when it eventually gets around to crawling my posts. I submit my site map and it won’t index anything new. I have to manually ask Google to index every new blog post I make.
It seems like small blogs like mine just aren’t what Google is interested in finding and presenting to users.
In general it's hard to for a search engine to understand the context of a website if there are few or no organic links to it. That hasn't really changed the last 30 years.
https://developers.google.com/search/docs/crawling-indexing/...
Related, I found that Googlebot only fetches sitemap.xml.gz, while other bots only try to fetch sitemap.xml. That's probably some configuration quirk on my part.
I agree with the premise that Google's search has gotten worse but that seems consistent across engines. I use Duck Duck Go as my default but wind up having to bangtag to other engines more frequently. Maybe clustering search tools which burbled up in the mid-2000s will come back and get more users this time.
I have to:
* Add "reddit" to get any sort of non-promoted human-driven knowledge
* Select "Past Year" from Tools
Recently I started getting really old search results. Not sure if I just never noticed, or they finally totally screwed up their algorithm.
I would like to pay for Kagi. But with this economy I'm belt tightening and adding another subscription seems crazy. Even if the experience is 100x better than Google's.
Search is one of the most complex and sophisticated products in the world. Genuinely curious, what other subscriptions are more important than access to high quality information that makes you even just 2x more productive and competitive in the world?
That's an argument, not a question.
I've been to real trials. They don't bother with all that verbiage. "Leading!" is all they have to say.)
It's hard to justify adding a new subscription when I'm getting by just fine without it.
Do note that depending on which sub you venture in to, it might be very much promoted stuff
Random video game subs tend to be pretty good though
So searching for reviews on there is basically useless. At the same level as Amazon at this point. There will be some exceptions, but anonymity and very easy vote manipulation ability makes every review questionable at best. That being said, it is still very good for a quick "general question"-esque searches.
It's more "90% spam" vs. "40% spam". At least there's some signal within the noise, whereas for many topics the Google search is just 3 pages of ChatGPT pablum before you get to 5 more pages of manually-written SEO bait, with a small smattering of actual valuable information.
A) It's long enough that it's much less likely to be inorganic,
B) Provides enough context for more informed decision, and
C) in an ideal world if the parties disagree you get the advantage of adversarial discussion (hopefully still relatively friendly)
Admittedly, this is pretty uncommon, but I'm more likely to find it on reddit than anywhere else.
The other couple fun ones that are easy to spot - someone asks for a recommendation, and a comment is a list of 3+ brands to make it sound "organic". You go into the history of the account, and you can see they always include one specific brand name in every list they suggest with 4-5 months in between posts. Or someone asks for a recommendation (brand themselves), then there's a response from a random person suggesting a brand that is extremely niche, and the OP a few days later comments back saying "i tried this, and this is amazing!".
My guess is, most of it is a "long game", as Reddit et al. is extremely lurker-heavy. I could see SEO companies setting up shops and having different tactics to play the game. The other problem is, since every company is doing it, you will get a "great product from Reddit recommendations", as those great companies also have to do it. But it's just a gamble at that point. As much as I'm not a fan of them, I tend to stick with wirecutter / consumerreports as my "starting point" of the research, where it applies. Not the best, but I feel less tricked than going through Reddit.
-edit- also my point was about conversations that are significantly longer and more substantive than the ones you describe. That actually get into details, with back and forth.
Google search tries and fails to interpret what you want to search for, where there was no interpretation needed in the first place.
The problem with spam is so much that they are kinda using these large well known sites as a filter which means the whole point of a search engine is lost as the rest of the internet is not available.
Good to see a confirmation of this. I'm getting old results as well and I can be pretty sure that at least one year ago the quality of the search was much much higher than it is today. Last year I also remember seeing intermittenlty for a brief period of time some sort of feedback popup from Google to rate the quality of the search.
you realize that now comments on reddit are SEO spam too?
Simply being able to block low quality domains from showing up again would go a long way to cleaning things up.
Me: Ok, please block Pinterest, W3schools, ...
Google: Sorry, can't do that.
They position themselves as a reference but are more interested in SEO rank and ad clicks than providing quality reference information.
Also many of the worst offenders seem to be spam sites with unique URLs. Too many for me to individually make a dent.
https://help.kagi.com/kagi/features/website-info-personalize...
For a given domain, you can select: block, lower, normal, higher, and pin to help you rank results on your personal preferences.
There was a time that "I'm feeling lucky" worked well because Google would often answer your query with the first result. But now, you often have to click through a few results, tweak your query, etc to answer your question. This almost always means more ad impressions delivered per query.
Delivering better search would mean delivering less ads, and that's the metric they value more.
I very much doubt it's a performance thing, because they already do personalized search based on account, location, etc, so it's not like it'd add any meaningful overhead.
Also uniformity of experience is needed for large scale (trillions of datapoints) A/B optimizations of ad clickthrough rates. So less variabiity is better and this is why Google results look the same for everyone in the world.
In contrast, in Kagi world, user is in the center of it (as they are the ones paying for the product) and the vector Kagi optimizes for is user satisfaction. So users can customize not just what is in their results but also how the results are presented.
User experience is absolutely better.
Results: yesterday I had an important query so tried different models, Bard came up with the most helpful answer. I can only imagine that the free Bard version is running at a decent clip, whereas the free chatGPT may be substandard (as I hear good reviews of the paid version). Possibly a strategic mistake by openAI.
I find the ChatGPT's interface much better. Bard is really barebones and heavy. Now with GPT store and whatnot, OpenAI is not making it easy for Google at all.
LLMs are useful for many creative tasks, but mingling search with dubious LLM proclamations doesn't get me there quicker. For me at least it just introduces a layer of doubt, and more time spent verifying the results.
OpenAI might have defined how an AI should look and behave.
I find that they both might out pretty similar stuff. In which case, I find myself acting like water ... finding the easiest end point.
I personally don’t.
Is there a better example? Re-ordering search results doesn't feel worth paying.
[1] https://kagi.com/search?q=best+laptop&r=us&sh=MuemT1_yBcwqyx...
It won’t give you “personalized results” like Google so you might have to adapt to that.
It’s fine but I went back to DDG/Bing with uBlacklist.
Kagi was much more impressive than DDG when I tried it. I'll probably give it another shot in the coming month, hoping that I can completely replace Google Search this time!
I know there are some negative reviews here about DDG. I don't know, maybe it is more about getting used to it? I remember that I definitely had to adjust quite a bit, but now I almost always get what I need in the top 5(ish) entries. I'd argue it also got better recently, as I rarely see the SEO-spam as of late.
The only thing I am still not using DDG for is searching for local shops, etc. I use Maps or Tripadvisor. Same goes for some other specific topics - it is sometimes easier to use a dedicated app. Anything else, meaning some generic search on an arbitrary topic - DDG is OK, does its job. Not more, not less.
Once in a while I try Google but very frequently it completely ignores some of my keywords and I have to click the 'include XXXX' and try again. WTF GOOGLE WHY DO YOU STILL DO THIS
Terms with low cardinality should never be automatically removed, or at least results without those terms should be sorted to the bottom of the result set.
And "verbatim search" is no answer as long as there is no way to enable that mode for all future searches.
Alphabet has taken its eye off the battle.
e.g., fuzzy text matching => "fuzzy text matching"
I think Google has divested enough of it's profit from search that it's no longer the cash cow it once was and we're likely to see the quality of the product continue to decline. I would not be surprised if most people have replaced it in the coming years with one of the emerging LLM augmented competitors unless they choose to get on that bandwagon.
The ultimate irony would be to see Google, ever the killer of products, kill off their original product at some point down the road.
> "the majority of high-ranking product reviews in the result pages of commercial search engines (SERPs) use affiliate marketing
I say odd, because when the associate/affiliates program was started at amzn (1995), this was precisely the outcome we expected and anticipated and even desired.
It's not clear to me that it is a huge issue if the affiliate marketing is via a "neutral" 3rd party. If I honestly review Sony MDR-7508's as the best headphones, and I get my X% cut from amzn or wherever should anyone buy a pair using a link from my review page, it doesn't seem to me that anything particularly undesirable has happened.
Now on the other hand, if Sony pays me some negotiable sum to rank them the best whenever a sale occurs from my page, or even worse, just outright pays me to say that, then we're in a distinctly bad place.
Assuming you accept my framing, then we face the difficulty of being able to differentiate these two conditions, which is non-trivial to do.
I still travel with just AirPods because they’re so compact and easy, but I’m in love with those Sonys.
I also have a pair of Sony noise-cancelling headphones, and ironically those are not only more comfortable, but their tech specs at least match the MDR-7508's.
Source: I've been doing this for years and made the Recoll engine for SearX.
Everyone that says Sundar is a bad CEO, Google quality has gone down, etc have no quantitative proof besides their “feelings”. The overwhelming proof in terms of revenues is that everything is going well for a multi-trillion dollar company. Globally ads spend keeps increasing.
Until the revenues start going down and subsequently the stock price, then the people who would do anything to change things don’t care.
It's back to good old word of mouth for me.
It's a bit of work to weed out real testimonies but if you can collect a bunch of reviews and use your own judgement as a final filter. I think that's better than just clicking any of the "Top 10 <product>" sites that google shows on the first page.
You just have to review enough threads on the subject to build up a picture and refine your search.
I did just this for noise cancelling headphones before Christmas and reddit was invaluable.
Goes for search results, AI, product recommendations, etc.
However, the Reddit search is atrocious, so you'll either have to try your luck googling, or spend some time in the subreddit.
headphones 2023 OR 2024 review "sound" "noise" "wired" OR "wireless" "battery" -amazon -affiliate -commissions
Aaaand the top result is a page clearly written by GPT. So no, I can't suggest any good alternative. It's all trash.
In other words I've reverted to a source I trust. Google's little more than a better DNS here. Swapping out the year, that search term's done me proud for 9 years and 4 pairs of headphones.
I had a brief conversation with the chat. It offered some options, and I refined my requirements in response. Specifically, after checking what it recommended initially, I told the chat I want wires, I don’t need any noise cancellation, and I absolutely don’t want integration with any cloud services.
I ended up buying Sennheiser IE 40 PRO. Already received and tested. Not sure whether it’s actually the best one, but IMO pretty good model.
So for headphones it might be something like crinacle.com (via Youtube) and rtings.com (which google will present when searching for headphone review sites), reviewers that provide a proper mix of subjective discussions and objective measurements. Though rtings is monetized.
Google has no incentive to fight spam because every time someone clicks in a spam link, this link is full of ads served by Google
It seemed like a great way to make endless cash, but they double dipped and ended up breaking the web by hyper incentivizing trash content.
As predicted by many, DoubleClick killed Google. It took longer than people predicted, but you can’t play both sides forever.
Now what?