SEO
6 Best Niches for Affiliate Marketing in 2022 (Profitable and Uncompetitive)
Everyone knows that niches like fitness, travel and tech are lucrative affiliate marketing opportunities. But big broad niches like this are also fiercely competitive, making it hard for new sites to compete.
For example, you’re hardly likely to outrank the likes of TechRadar, Wired, and The Verge anytime soon with your generic “tech” affiliate site.
If you want to stand any chance at competing and getting traffic, you need to go narrower.
Here are a few affiliate niches that I think are crying out for a market leader:
- Vacuum cleaners
- Hotels with jacuzzis
- Travel car seats
- Golf equipment
- Headphones and earbuds
- Zero waste
You’re probably already thinking that this niche sucks if you hate cleaning as much as I hate cleaning. But with an estimated 69K monthly searches for “best vacuum cleaner” according to Keywords Explorer, one thing’s for sure: this is a high ticket niche with plenty of traffic potential.
Even better, competition is relatively sparse.
Here’s a DR25 site getting an estimated 37.7K monthly organic visits:

Who are the current players?
Most of the obvious keywords like “best vacuum cleaner” and “best robot vacuum” are hypercompetitive, with SERPs dominated by brands like Wirecutter, Consumer Reports, and Good Housekeeping. But there are plenty of sites getting decent traffic from lower competition long-tail queries.
Here are a few of them:
Although the monthly organic traffic numbers for these sites aren’t astronomical, it’s mostly affiliate content attracting that traffic.
For example, ~83% of the organic traffic to Home Vacuum Zone goes to URLs containing the words “best,” “vs,” and “review”:


It’s a similar story for Popular Vacuums, with 84% of traffic going to the same kinds of pages:


However, if you look at the sites themselves, you’ll realize that they’re far from anything special. Most of them are ugly and feature typical affiliate content from folks who haven’t used the products.


There’s a serious opportunity to become the go-to resource for vacuum reviews for anyone willing to put in the effort and actually test some of these products.
How much can you earn?
Most of the affiliate programs for vacuum cleaners offer somewhere between 3-8% commission.
- Amazon: 3%
- Walmart: 4%
- Bed Bath and Beyond: 7%
- Target: up to 8%
That might not sound like much, especially at the lower end, but remember that vacuums are high-ticket items typically costing anywhere between $50 and $1,000. As a result, even a measly 3% commission from Amazon would net you between $1.50 and $30 a pop.
Promote Bed Bath and Beyond’s affiliate program, and that rises to $3.50-$70.
You only have to sell a few vacuums through your affiliate links to make bank here.
How to do keyword research for this niche
Besides reverse-engineering some of the sites above in Site Explorer, you’ll want to use a keyword research tool like Keywords Explorer to find three types of keywords:
- General comparison keywords. These follow the format “best [product type]”. E.g., “best vacuum cleaner,” “best robot vacuum cleaner,” etc.
- Branded comparison keywords. These follow the format “product [a] vs product [b]”. E.g., “roomba i3 vs i7,” “dyson hp02 vs hp04,” etc.
- Product review keywords. These follow the format “product [review]”. E.g., “dyson v15 review,” “irobot roomba 692 review,” etc.
Here’s how to do it for this niche:
General comparison keywords
- Go to Keywords Explorer
- Enter the terms “vacuum” and “vacuums”
- Go to Matching Terms report
- Add the word “best” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


You can also add the word “for” to the Include filter to hone in on keywords aimed at a specific demographic or task—which tend to be low competition.


Branded comparison keywords
- Go to Keywords Explorer
- Enter vacuum cleaner brands like “miele,” “roomba,” “dyson”
- Go to Matching Terms report
- Add the word “vs” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Product review keywords
The process here is the same as for branded comparison keywords. Just add the word “review” to the Include filter instead.


According to Keywords Explorer, there are an estimated 41K monthly searches for “hotels with jacuzzi in room” in the US. And the top-ranking page for this keyword gets an estimated 150K monthly visits:


That’s an awful lot of people looking for hotels with jacuzzis, and there are also many searching for much the same thing in other, less competitive ways.
Who are the current players?
Quite a few low-authority sites are getting decent traffic in this niche:
If we check the Top Pages report for one of these sites, we see that pretty much all traffic goes to pages for specific locations:


Most of these pages are pretty much the same content-wise. They list a few hotels with hot tubs in the area, show a few photos, give a brief description, and link to an affiliate for “more information and prices.”


Other sites in the niche do almost the same thing:


As with vacuum reviews, none of these sites look particularly nice or have much of a recognizable brand. They’re about as basic as it gets. This spells opportunity for any ambitious affiliate marketers out there.
How much can you earn?
Many travel sites are quite secretive about their commission rates, with some simply stating the percentage of commission you get on their commission. This isn’t particularly useful, as who knows what their commission is?
Nonetheless, here are a few popular travel sites with affiliate programs:
- Agoda – 5% commission
- Expedia – up to 6% commission
- Hotels.com – 4% commission
- TripAdvisor – 50% commission (on their commission)
- Kayak – 50% commission (on their commission)
- Booking.com – No commission rate is stated, but most of the current players in this niche are promoting this program.
How to do keyword research for this niche
Most of the opportunity in this niche comes from searches for hotels with jacuzzis in various cities and states. Here’s how to find these in Keywords Explorer:
- Enter ‘hotel’ and ‘hotels’
- Go to Matching Terms report
- Add ‘jacuzzi’ and ‘hot tub’ to the Include filter (make sure to select “Any word”)
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)
It’s then simply a case of skimming the ideas for popular locations:


You can also reverse-engineer current players in Site Explorer, as these have pretty much done the work for you already.
Although this might sound like a super small niche, there are tens of thousands of searches for travel car seats every month. Just look at the traffic potential for “travel car seats” alone:


Who are the current players?
Despite the seemingly limited nature of the niche, quite a few low-authority sites are attracting a good amount of monthly search traffic:
If we check the Top Pages report for the first site (which gets the most traffic), we see that it has fewer than 100 pages in total. Yet it gets over 75K monthly organic visits:


Even more interestingly, over half of this traffic goes to just 29 affiliate pages with the words “best,” “review,” or “vs” in their URLs:


Most of the other 70 pages are informational guides, such as this list of tips for flying with a car seat. This is a good sign as it means you only need to create a handful of affiliate pages to attract targeted affiliate traffic.
How much can you earn?
Like in most niches, you can promote Amazon, which gives 3% commissions on baby products. There are also other superstores like Walmart that offer slightly higher commissions. But commissions really jump when you start looking at affiliate programs for specific brands and products.
Here are a few of the options available:
- Amazon – 3% commission for baby products
- Walmart – 4% commission
- Saferide4kids.com – 10% commission
- MiFold – 10% commission (with up to 12% for special offers)
- Wayb.com – 10% commission
How to do keyword research for this niche
Like with vacuum reviews, you’re looking for three types of keywords to target in this niche: general comparisons, branded comparisons, and product reviews. Let’s look at how to find those in Keywords Explorer.
General comparison keywords
- Go to Keywords Explorer
- Enter terms like “car seat,” “car seats,” “booster seat,” “booster seats,” etc.
- Go to Matching Terms report
- Add the word “best” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Branded comparisons
- Go to Keywords Explorer
- Enter car seat brands like “uppababy” and “bugaloo”
- Go to Matching Terms report
- Add the word “vs” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Product reviews
The process here is the same as for branded comparison keywords. Just add the word “review” to the Include filter instead.


The golf equipment market is worth an estimated $6.51 billion, so unsurprisingly, there are hundreds of thousands of monthly searches for the best golf equipment.
For example, there are 54K monthly searches just for “golf simulator,” and most of the top 10 results are affiliate posts listing top picks. Some are from relatively low-authority sites too:


Who are the current players?
Like with previous niches, most of the current players are typical low-to-medium-end affiliate sites with “okay” content at best. Here are a few of them:
Besides Golfalot and MyGolfSpy, none seem to be testing products firsthand but rather researching tech specs and customer reviews.


There’s nothing wrong with this per se. Golf equipment is seriously expensive so you can hardly expect your average affiliate marketer to review everything firsthand. Nonetheless, it seems there’s an opportunity for someone serious to come in and create the goto site for golf equipment recommendations—either by reviewing products firsthand or going to town on the research.
How much can you earn?
Like most niches, you can promote Amazon, which offers a 4% commission rate on golf equipment. But commissions are way higher from dedicated online golf stores. Here are just a few of them:
Remember, golf equipment is expensive, so even commission rates of 4% can result in decent commissions.
How to do keyword research for this niche
Most of the opportunities revolve around the same three types of keywords we already covered. So let’s look at how to find them in this niche.
General comparison keywords
- Go to Keywords Explorer
- Enter words like “golf,” “fairway wood,” “putter,” “putting,” “wedge” etc.
- Go to Matching Terms report
- Add the word “best” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Branded comparisons
- Go to Keywords Explorer
- Enter golf equipment brands like “callaway,” “pxg,” “srixon,” “taylormade,” “titleist,” etc.
- Go to Matching Terms report
- Add the word “vs” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Product reviews
The process here is the same as for branded comparison keywords. Just add the word “review” to the Include filter instead.


As of 2019, the global earphones and headphones market is worth an estimated $25.1 billion. It’s also expected to grow at a compound annual growth rate (CAGR) of 20.3% from 2020 to 2027.
Unfortunately, affiliate marketers often overlook this niche because high-volume keywords like “best bluetooth headphones” are incredibly competitive. This keyword has a Keyword Difficulty (KD) score of 76, and huge brands like TechRadar and Wired dominate the SERP:


But if you dig deeper, there are plenty of lower competition keywords with traffic potential to make this an interesting, low-hanging niche.
Who are the current players?
Most of the players in this niche focus on headphones but also review other audio equipment. Here are a few of them:
If you’re wondering why Headphonesty gets such a huge amount of traffic, it’s because most of its traffic goes to informational guides. This one on how to find a lost or stolen AirPod case gets an estimated 41K monthly search visits alone:


However, it also gets plenty of traffic to affiliate pages.
In fact, URLs containing “best,” “review,” and “vs” get an estimated 209K monthly search visits:


It’s a similar story for the other players. Headphones Pro Review gets an estimated 86K monthly search visits to the same kinds of pages—which is ~60% of its total traffic. And there are only 106 pages attracting this traffic, too.


However, take a look at these sites and it’s the same old story: they’re nothing special. With the exception of Headphonesty, most of the affiliate content is bog-standard stuff based on research rather than firsthand reviews. (You can always tell when this is the case as the sites use stock product images only).
This isn’t necessarily bad; some of these sites’ articles seem well-researched. But again, it presents an opportunity for an ambitious affiliate marketer to come along and steal the show.
How much can you earn?
Given that I’ve bought my last three pairs of headphones from Amazon, my purchasing habits lead me to believe that this is where most people buy headphones these days. Unfortunately, Amazon’s commission rate on headphones is just 3%.
Luckily there are a few other affiliate programs with better commissions:
- Target – up to 8%
- 1more – 8%
- B&H Photo Video – 8%
- Adorama – 2% (yes, this is lower than Amazon, but they have a $500 average order size)
- Walmart – 4%
Some of these sell other audio equipment too, so there’s plenty of scope to expand beyond headphones further down the line.
How to do keyword research for this niche
It’s the same old story with this niche; you’re looking at targeting general comparison, branded comparison, and product review keywords. Here’s how to find them.
General comparison keywords
- Go to Keywords Explorer
- Enter words like “earbuds,” “earpods,” “headphones,” “headsets,” etc.
- Go to Matching Terms report
- Add the word “best” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keyword


You’ll notice that many of the low-difficulty keywords here relate to the best headphones for a specific task or certain type of person. So you might want to add “for” to the Include filter to hone in on these.


TIP
If you see a lot of keywords like “best buy headphones” and “best buy wireless earbuds,” add the word “buy” to the Exclude filter to clean up the report.
Branded comparisons
- Go to Keywords Explorer
- Enter headphone brands like “1more,” “airpods,” “beats,” “jabra,” “skullcandy,” etc.
- Go to Matching Terms report
- Add the word “vs” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Product reviews
The process here is the same as for branded comparison keywords. Just add the word “review” to the Include filter instead.


Interest in living a more sustainable zero-waste lifestyle has ballooned in recent years, and so have searches for zero-waste products. Here’s the trend for “zero waste products” since 2004 via Google Trends:


That said, this isn’t the biggest niche ever. However, it still has decent earning potential and isn’t overly competitive.
Who are the current players?
Here are a few of the folks in this niche:
If we check the Top Pages report for one of these sites, Sustainable Jungle, we see that they’re getting ~75% of their traffic to affiliate pages:


However, most of that traffic goes to just one page about the best online thrift stores. There are still some affiliate links in this post, but even if we ignore it, the site is still getting ~27K monthly visitors to other affiliate posts.
In terms of the content itself, it’s the same old story: the affiliate reviews are seemingly all based on research rather than firsthand experience. This once again presents an opportunity to easily beat the competition when it comes to content quality by reviewing products yourself. It would probably also be quite easy to get many zero-waste brands to send you products to review for free—especially once you’ve built a bit of a following.
How much can you earn?
The best thing about this niche is that tons of eco-friendly brands with affiliate programs offer generous commissions. Here are just a few of them:
How to do keyword research for this niche
You guessed it; it’s all about those general comparison, branded comparison, and review keywords.
General comparison keywords
- Go to Keywords Explorer
- Enter words like “eco friendly,” “plastic free,” “zero waste,” etc.
- Go to Matching Terms report
- Add the word “best” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keyword


Branded comparisons
- Go to Keywords Explorer
- Enter golf equipment brands like “who gives a crap,” “reel,” “cloudpaper,” etc.
- Go to Matching Terms report
- Add the word “vs” to the Include filter
- Set the KD filter to a maximum of 20 (optional – this filters for low-difficulty keywords)


Product reviews
The process here is the same as for branded comparison keywords. Just add the word “review” to the Include filter instead.


How to find more affiliate niches
Most of the niches above were found using Content Explorer, a searchable database of billions of pages. Just search for pages with the word “best” in their titles and add these filters:
- English
- Website traffic: 10K+
- Website traffic value: 20K+
- DR: 20 max
- Filter explicit results
- Filter for one page per domain
Sidenote.
Thanks to everyone’s favorite YouTuber, Sam Oh, for this tip.
Here’s what the results look like:


It’s then simply a case of sifting through the results looking for affiliate niches.
For example, this is how I found the golf equipment niche:


You can find hundreds of lucrative niches using this method; it just takes a bit of time.
Final thoughts
Most of these niches might seem relatively narrow and limiting, but that’s a good thing. It means you won’t be competing with and struggling to outrank the big players. And remember, you can expand and broaden your horizons once you build some authority.
Got questions? Ping me on Twitter.
SEO
Google Analytics 4 Features To Prepare For Third-Party Cookie Depreciation

Google will roll out new features and integrations for Google Analytics 4 (GA4) for first-party data, enhanced conversions, and durable ad performance metrics.
Beginning in Q1 2024, Chrome will gradually phase out third-party cookies for a percentage of users, allowing for testing and transition.
Third-party cookies, which have been central to cross-site tracking, are being restricted or phased out by major browsers, including Chrome, as part of its Privacy Sandbox project.
The following features should help advertisers “unlock durable performance” while preserving user privacy.
Support For Protected Audience API In GA4
A key feature of recent updates to Google Analytics 4 is the integration of Protected Audience API, a Privacy Sandbox technology that is set to become widely available in early 2024.
This API allows advertisers to continue reaching their audiences after the third-party cookie phase-out.
What Is The Protected Audience API?
The Protected Audience API offers a novel approach to remarketing, which involves reminding users about sites and products they have shown interest in without relying on third-party cookies.

This method involves advertisers informing the browser directly about their interest in showing ads to users in the future.
The browser then uses an algorithm to determine which ads to display based on the user’s web activity and advertiser inputs.
It enables on-device auctions by the browser, allowing it to choose relevant ads from sites previously visited by the user without tracking their browsing behavior across different sites.
Key Features And Development
Key features of the Protected Audience API include interest groups stored by the browser, on-device bidding and ad selection, and ad rendering in a temporarily relaxed version of Fenced Frames.
The API also supports a key/value service for real-time information retrieval, which can be used by both buyers and sellers for various purposes, such as budget calculation or policy compliance.
The Protected Audience API, initially known as the FLEDGE API, has evolved from an experimental stage to a more mature phase, reflecting its readiness for wider implementation.
This transition is part of Google’s broader efforts to develop privacy-preserving APIs and technologies in collaboration with industry stakeholders and regulatory bodies like the UK’s Competition and Markets Authority.
The Protected Audience API offers a new way to connect with users while respecting their privacy, necessitating a reevaluation of current advertising strategies and a focus on adapting to these emerging technologies.
Support For Enhanced Conversions
Rolling out in the next few weeks, enhanced conversions is a feature enhancing conversion measurement accuracy.


Enhanced conversions for the web cater to advertisers tracking online sales and events. It captures and hashes customer data like email addresses during a conversion on the web, then matches this with Google accounts linked to ad interactions.
This method recovers unmeasured conversions, optimizes bidding, and maintains data privacy.
For leads, enhanced conversions track sales from website leads occurring offline. It uses hashed data from website forms, like email addresses, to measure offline conversions.
Setup options for enhanced conversions include Google Tag Manager, a Google tag, or the Google Ads API, with third-party partner support available.
Advertisers can import offline conversion data for Google Ads from Salesforce, Zapier, and HubSpot with Google Click Identifier (GCLID).
Proper Consent Setup
To effectively use Google’s enhanced privacy features, it’s essential to have proper user consent mechanisms in place, particularly for traffic from the European Economic Area (EEA).
Google’s EU user consent policy mandates consent collection for personal data usage in measurement, ad personalization, and remarketing features. This policy extends to website tags, app SDKs, and data uploads like offline conversion imports.
Google has updated the consent mode API to include parameters for user data consent and personalized advertising.
Advertisers using Google-certified consent management platforms (CMPs) will see automatic updates to the latest consent mode, while those with self-managed banners should upgrade to consent mode v2.
Implementing consent mode allows you to adjust Google tag behavior based on user consent, ensuring compliance and enabling conversion modeling for comprehensive reporting and optimization.
Consent Mode integration with CMPs simplifies managing consent banners and the consent management process, adjusting data collection based on user choices and supporting behavioral modeling for a complete view of consumer performance.
Durable Ad Performance With AI Essentials
To effectively utilize AI, marketers need robust measurement and audience tools for confident decision-making.
Google provided a general checklist of AI essentials for Google advertisers. In it, advertisers are encouraged to adopt AI-powered search and Performance Max campaigns, engage in Smart Bidding, and explore video campaigns on platforms like YouTube.
Google also offers a more in-depth checklist for Google Ads, Display & Video 360, and Campaign Manager 360.


More Ways To Prepare For The Third-Party Cookie Phase Out
As third-party cookies are phased out, it’s essential to audit and modify web code, especially focusing on instances of SameSite=None using tools like Chrome DevTools.
Adapting to this change involves understanding and managing both third-party and first-party cookies, ensuring they are set correctly for cross-site contexts and compliance.
Chrome provides solutions like Partitioned cookies with CHIPS and Related Website Sets.
At the same time, the Privacy Sandbox introduces APIs for privacy-centric alternatives, with additional support for enterprise-managed Chrome and ongoing development of tools and trials to assist in the transition.
As Google continues to update resources and documentation to reflect these changes, stakeholders are encouraged to engage and provide feedback, ensuring that the evolution of these technologies aligns with industry needs and user privacy standards.
Featured image: Primakov/Shutterstock
SEO
4 Ways To Try The New Model From Mistral AI

In a significant leap in large language model (LLM) development, Mistral AI announced the release of its newest model, Mixtral-8x7B.
magnet:?xt=urn:btih:5546272da9065eddeb6fcd7ffddeef5b75be79a7&dn=mixtral-8x7b-32kseqlen&tr=udp%3A%2F%https://t.co/uV4WVdtpwZ%3A6969%2Fannounce&tr=http%3A%2F%https://t.co/g0m9cEUz0T%3A80%2Fannounce
RELEASE a6bbd9affe0c2725c1b7410d66833e24
— Mistral AI (@MistralAI) December 8, 2023
What Is Mixtral-8x7B?
Mixtral-8x7B from Mistral AI is a Mixture of Experts (MoE) model designed to enhance how machines understand and generate text.
Imagine it as a team of specialized experts, each skilled in a different area, working together to handle various types of information and tasks.
A report published in June reportedly shed light on the intricacies of OpenAI’s GPT-4, highlighting that it employs a similar approach to MoE, utilizing 16 experts, each with around 111 billion parameters, and routes two experts per forward pass to optimize costs.
This approach allows the model to manage diverse and complex data efficiently, making it helpful in creating content, engaging in conversations, or translating languages.
Mixtral-8x7B Performance Metrics
Mistral AI’s new model, Mixtral-8x7B, represents a significant step forward from its previous model, Mistral-7B-v0.1.
It’s designed to understand better and create text, a key feature for anyone looking to use AI for writing or communication tasks.
New open weights LLM from @MistralAI
params.json:
– hidden_dim / dim = 14336/4096 => 3.5X MLP expand
– n_heads / n_kv_heads = 32/8 => 4X multiquery
– “moe” => mixture of experts 8X top 2 👀Likely related code: https://t.co/yrqRtYhxKR
Oddly absent: an over-rehearsed… https://t.co/8PvqdHz1bR pic.twitter.com/xMDRj3WAVh
— Andrej Karpathy (@karpathy) December 8, 2023
This latest addition to the Mistral family promises to revolutionize the AI landscape with its enhanced performance metrics, as shared by OpenCompass.
What makes Mixtral-8x7B stand out is not just its improvement over Mistral AI’s previous version, but the way it measures up to models like Llama2-70B and Qwen-72B.
It’s like having an assistant who can understand complex ideas and express them clearly.
One of the key strengths of the Mixtral-8x7B is its ability to handle specialized tasks.
For example, it performed exceptionally well in specific tests designed to evaluate AI models, indicating that it’s good at general text understanding and generation and excels in more niche areas.
This makes it a valuable tool for marketing professionals and SEO experts who need AI that can adapt to different content and technical requirements.
The Mixtral-8x7B’s ability to deal with complex math and coding problems also suggests it can be a helpful ally for those working in more technical aspects of SEO, where understanding and solving algorithmic challenges are crucial.
This new model could become a versatile and intelligent partner for a wide range of digital content and strategy needs.
How To Try Mixtral-8x7B: 4 Demos
You can experiment with Mistral AI’s new model, Mixtral-8x7B, to see how it responds to queries and how it performs compared to other open-source models and OpenAI’s GPT-4.
Please note that, like all generative AI content, platforms running this new model may produce inaccurate information or otherwise unintended results.
User feedback for new models like this one will help companies like Mistral AI improve future versions and models.
1. Perplexity Labs Playground
In Perplexity Labs, you can try Mixtral-8x7B along with Meta AI’s Llama 2, Mistral-7b, and Perplexity’s new online LLMs.
In this example, I ask about the model itself and notice that new instructions are added after the initial response to extend the generated content about my query.


While the answer looks correct, it begins to repeat itself.


The model did provide an over 600-word answer to the question, “What is SEO?”
Again, additional instructions appear as “headers” to seemingly ensure a comprehensive answer.


2. Poe
Poe hosts bots for popular LLMs, including OpenAI’s GPT-4 and DALL·E 3, Meta AI’s Llama 2 and Code Llama, Google’s PaLM 2, Anthropic’s Claude-instant and Claude 2, and StableDiffusionXL.
These bots cover a wide spectrum of capabilities, including text, image, and code generation.
The Mixtral-8x7B-Chat bot is operated by Fireworks AI.


It’s worth noting that the Fireworks page specifies it is an “unofficial implementation” that was fine-tuned for chat.
When asked what the best backlinks for SEO are, it provided a valid answer.


Compare this to the response offered by Google Bard.


3. Vercel
Vercel offers a demo of Mixtral-8x7B that allows users to compare responses from popular Anthropic, Cohere, Meta AI, and OpenAI models.


It offers an interesting perspective on how each model interprets and responds to user questions.


Like many LLMs, it does occasionally hallucinate.


4. Replicate
The mixtral-8x7b-32 demo on Replicate is based on this source code. It is also noted in the README that “Inference is quite inefficient.”


In the example above, Mixtral-8x7B describes itself as a game.
Conclusion
Mistral AI’s latest release sets a new benchmark in the AI field, offering enhanced performance and versatility. But like many LLMs, it can provide inaccurate and unexpected answers.
As AI continues to evolve, models like the Mixtral-8x7B could become integral in shaping advanced AI tools for marketing and business.
Featured image: T. Schneider/Shutterstock
SEO
OpenAI Investigates ‘Lazy’ GPT-4 Complaints On Google Reviews, X

OpenAI, the company that launched ChatGPT a little over a year ago, has recently taken to social media to address concerns regarding the “lazy” performance of GPT-4 on social media and Google Reviews.

This move comes after growing user feedback online, which even includes a one-star review on the company’s Google Reviews.
OpenAI Gives Insight Into Training Chat Models, Performance Evaluations, And A/B Testing
OpenAI, through its @ChatGPTapp Twitter account, detailed the complexities involved in training chat models.


The organization highlighted that the process is not a “clean industrial process” and that variations in training runs can lead to noticeable differences in the AI’s personality, creative style, and political bias.
Thorough AI model testing includes offline evaluation metrics and online A/B tests. The final decision to release a new model is based on a data-driven approach to improve the “real” user experience.
OpenAI’s Google Review Score Affected By GPT-4 Performance, Billing Issues
This explanation comes after weeks of user feedback about GPT-4 becoming worse on social media networks like X.
Idk if anyone else has noticed this, but GPT-4 Turbo performance is significantly worse than GPT-4 standard.
I know it’s in preview right now but it’s significantly worse.
— Max Weinbach (@MaxWinebach) November 8, 2023
There has been discussion if GPT-4 has become “lazy” recently. My anecdotal testing suggests it may be true.
I repeated a sequence of old analyses I did with Code Interpreter. GPT-4 still knows what to do, but keeps telling me to do the work. One step is now many & some are odd. pic.twitter.com/OhGAMtd3Zq
— Ethan Mollick (@emollick) November 28, 2023
Complaints also appeared in OpenAI’s community forums.


The experience led one user to leave a one-star rating for OpenAI via Google Reviews. Other complaints regarded accounts, billing, and the artificial nature of AI.


A recent user on Product Hunt gave OpenAI a rating that also appears to be related to GPT-4 worsening.


GPT-4 isn’t the only issue that local reviewers complain about. On Yelp, OpenAI has a one-star rating for ChatGPT 3.5 performance.
OpenAI is now only 3.8 stars on Google Maps and a dismal 1 star on Yelp!
GPT-4’s degradation has really hurt their rating. Hope the business survives.https://t.co/RF8uJH1WQ5 pic.twitter.com/OghAZLCiVu
— Nate Chan (@nathanwchan) December 9, 2023
The complaint:


In related OpenAI news, the review with the most likes aligns with recent rumors about a volatile workplace, alleging that OpenAI is a “Cutthroat environment. Not friendly. Toxic workers.”


The reviews voted the most helpful on Glassdoor about OpenAI suggested that employee frustration and product development issues stem from the company’s shift in focus on profits.


This incident provides a unique outlook on how customer and employee experiences can impact any business through local reviews and business ratings platforms.


Google SGE Highlights Positive Google Reviews
In addition to occasional complaints, Google reviewers acknowledged the revolutionary impact of OpenAI’s technology on various fields.
The most positive review mentions about the company appear in Google SGE (Search Generative Experience).


Conclusion
OpenAI’s recent insights into training chat models and response to public feedback about GPT-4 performance illustrate AI technology’s dynamic and evolving nature and its impact on those who depend on the AI platform.
Especially the people who just received an invitation to join ChatGPT Plus after being waitlisted while OpenAI paused new subscriptions and upgrades. Or those developing GPTs for the upcoming GPT Store launch.
As AI advances, professionals in these fields must remain agile, informed, and responsive to technological developments and the public’s reception of these advancements.
Featured image: Tada Images/Shutterstock
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