I think this is an excellent methodology for testing the quality of search results. I would love to see a standard search engine test and scoring system based on this, maybe similar to some of the LLM scoring systems.
I think this is an excellent methodology for testing the quality of search results. I would love to see a standard search engine test and scoring system based on this, maybe similar to some of the LLM scoring systems.
That approach also misses all the copied-a-github-issue low-effort content that seem to crop up on Google.
I've seen so many "Best $WHATEVER of $YEAR" and it's really "Best $WHATEVER $PRODUCED_BY_WEIRDLY_NAME_FLY_BY_NIGHT_COMPANY_ON_AMAZON $YEAR"
In practice, that is never the case. At best you're getting reviews that only compare products available in the same marketplace (say, for example, all the table saws you can buy on Amazon). At worst, you're getting reviews from vendors who offer the highest payout.
Also, a heck of a lot of consumer products are absolute garbage. (IMHO, most of them, but others may feel differently.) Who is going to write an honest, scathing review of a product and then monetize the link to it? Why even bother?
Almost? There doesn't need to be anything nefarious going on, but human beings align to incentives, basically always. So the trick with reviews is going to be to avoid any incentives coming from the product side, and embrace those coming from the consumer side.
Affiliate links create misaligned incentives between content creators and consumers. This includes on the products listed themselves, where the affiliate is incentivized to select the products that give the most kickback rather than the ‘best’ for the consumer. But it also includes the content itself. Affiliate links create incentive to (a) write reviews, where a site wouldn’t have bothered before; (b) churn out lots of content with lots of links, that can be picked up by search engines; and (c) to not invest much in the actual reviews, and instead generate quick, low-quality content, since the content creator doesn’t actually care about finding the “best” product (which takes lots of time and money to do correctly), only on having readers click their links.
This is why sites with names like Celeb Rumor Central have dozens of articles like “top 10 coffee makers 2024”. They just hire a freelancer to do a few quick Google searches for coffee makers, then churn out 10,000 word articles with sections like “the history of coffee” and “why do people drink coffee?” Then the actual review is “this machine is purported to boil water and drip it through coffee grounds, and has high ratings on Amazon (we may earn a small commission when you click a link on our site)”. Increasingly, they’re just using AI to do it, cutting out the cost of a freelancer.
In my personal opinion, affiliate marketing is one of the worst things to happen to the modern web, and the source of a ton of content farm SEO spam pages.
Back when I was still involved in acquisition marketing, I did a test where I killed all paid search and built relationships with the affiliates to negotiate our "ranking" higher up the page. It was a huge boom for business. We scaled paid acquisition at a profitable CAC, which was very difficult to maintain, let alone scale, in bidding directly and it was significantly less work to manage.
Consumers value this type of content quite a bit, even if many are skeptical of the quality. Sometimes it's nice to just see a pared down list of things with even a cursory rundown of features/differences.
1. Domain Interception & HTTP redirects 2. Tracking codes embedded in the URL directly
> Kagi surfaces shopping results featuring unbiased reviews and no affiliate links to help you identify the best product across categories. Top results include discussions focused on helping you find the best item to purchase - you are not bombarded with affiliate links and ads. Continue to scroll and you will see product comparisons across multiple vendors so you can pick what best suites you. Kagi's shopping search will always return a detailed discussion of which product to buy not a competition amongst advertisers promoting where you should buy. Kagi is focused on providing you the best results to make an informed decision not polluted by affiliate links and advertisements.
A pattern I’ve noticed from people not working in tech, or more junior people in tech, is that they have a thinking that software can ever be perfect. If either of those categories describe you, I can tell you from experience no software is ever perfect!
https://i.imgur.com/vPRpBYJ.mp4 (yes the recording is very broken but you can still see)
When I hover over the "i" icon it says:
> Information provided by Looria, Amazon, Reddit and other sources. Shop confidently with Kagi - our results have no affiliate links.
The sites featured in the "Shopping" widget were:
- RTINGS: has 8 affiliate links (just from one article I picked, it was featured several times)
- NYTimes: has 47 affiliate links (just from one article I picked, it was featured several times)
- Techgearlab: has 9 affiliate links
Even if you ignored the widget, the first result was a site with 7 amazon affiliate links.
In addition:
* it demotes sites with popups (think newsletter sign ups)
* it demotes sites that block (or complain about) ad blockers
* it demotes sites with a high number of ads and favors sites with no ads
* it demotes sites using certain sketchy ad companies.
* It demotes sites that have paywalls
* It detects possible link networks and flags them for human review/removal.
* sites with RSS feeds get promoted.
* There is a toggle to hide all sites with ads or external trackers, but it is still WIP (The whole project is).
There are many other features. No idea if I am going to make it public, I created it to update my skillset. I actually thought about setting up a nonprofit and making it open source, but I haven’t decided.
I don't know if discovery is actually a bottleneck to be automated away. It might be the fun part. I'm thinking back to the Napster approach where you could browse other people's libraries for music ideas.
One of these is "ads/trackers". I imagine that it would be feasible for this to include some of the more common affiliate URL types, or third party lead/affiliate tracking bounce hops like awin.
Clearly there will always be some amount of ability to "defeat" this kind of measure by obfuscating links, but eventually the user needs forwarded to a link that has a referral parameter or a site that sets an affiliate cookie or similar.
The "tracker category" also can give a bit of extra information - things like "invasive fingerprinting, advertising"
If I do an image search for the word 'strawberry', how many of those results are not stock images, images from a store, etc. of a strawberry? can you find an actual picture of a strawberry sitting in the wild? or just some picture of a strawberry a person uploaded without trying to sell you something?