SEO
Are You Web 3.0 Ready? 12 Steps For A Successful Social Media Audit
Web 3.0 is here. Have you considered a social media audit?
Look in the mirror and ask, “Is my social media stuck in a Web 2.0 world?”
A social media audit is like a health and wellness check-up for your brand’s digital marketing results, business outcomes, public relations, and brand awareness.
Here are 12 tips for conducting a social media audit in a Web 3.0 world.
1. Schedule It
Instead of waiting until a potential problem is detected or failing results appear, proactively schedule an audit for your brand, a quarterly checkup, and an annual exam.
A social media audit will create an efficient and actionable update to an existing social media plan or a reset to a new social media strategy.
Social PR Secret: Keep your team accountable and transparent by scheduling the social media audits on a calendar with all stakeholders invited.
Follow the SMART method of goal setting when it comes to social media audits. Keep it.
- Specific.
- Measurable.
- Attainable.
- Realistic.
- Timeframe.
Like any action item tied to successful outcomes, it is important to access your social media audit’s requirements including:
- Create a timeframe. Set aside a realistic amount of time to complete the audit.
- Allow for research into new technologies and innovation.
- Know what resources are needed to complete the social media audit.
- Understand what team members or outside consultants need to be involved in order to achieve a successful social media audit.
2. Include PR, SEO & PPC, And New Innovations Of Web 3.0 In The Audit
Working remotely or living behind closed doors in the social media marketing room leads to dehydration and loss of healthy nutrients in a social media marketing plan.
Public relations, search, and PPC will add depth, optimization, and vital content to a social media plan.
Combining marketing agendas gives a sense of synchronicity and supplements social media planning with aligned business goals and objectives.
The emergence of Web 3.0 technology and innovation is impacting all areas of digital marketing including social media.
Web 3.0 is defined as the next generation of the internet only operating in a more decentralized environment.
This means marketers and brands can be less reliant on big techs, like Google and Facebook, and focus more on community, creators, and even crypto.
Social media marketers should have a third eye on new social networks bubbling up from Web 3.0, NFTs, virtual worlds, and how physical worlds blend with digital worlds.
“It’s also important to consider if all of your digital marketing is connected with your social strategy by evaluating relative to the digital marketing landscape,” says Krista Neher, CEO, and Founder of Boot Camp Digital.

3. Grading Scale
A process and methodology for a social media audit are essential for long-term success and efficiencies.
Whether it’s your own process using Excel, a template from a third-party source, or a platform such as Sprout Social, using consistent methods puts science behind the historical comparisons.
Considering 45% of content professionals say they’re challenged with managing content production workflow, Sarah Collins, Chief Marketing Officer at Landscape Management Network, shares her approach to a social media audit.


4. Headlines & Grades
“We start with competitors and look for ‘who’s to beat.’ Then we write the headline for what each competitor’s strategy appears to be. We map it on a quadrant to determine the white space for the brand we represent,” says Collins.
Taking the quantitative and qualitative factors, Collins breaks down a social media audit approach like this:
- Quantitative considers competitors, community size, engagement, native channels (including Meta insights, analytics), and paid channels (such as Iconosquare, Cubeyou, Nuvi, Rival IQ).
- Qualitative analysis content, paid social via Rival IQ, and engagement.
Looking at your competitors on social media, see what they are missing and what you can do that they are not doing.


5. Website & Blog Assessment
Check the relevant website and blog pages to check for social media factors, including:
- Shareability.
- Meta titles and descriptions.
- Formatting.
- Keywords.
- Visuals.
- Content performance.
- Links.
- Accessibility.
- Integration with paid media.
- Behavior.
- Security and privacy.
Questions To Ask
- Do you have a newsroom to feature media coverage and press releases on your website?
- Are your blog posts and pages easy to share?
- Do your titles and descriptions make sense in a share?
- How about those visuals? Are they shareworthy or boring?
- Have you experimented with the most popular types of content: videos, reels, augmented reality, filters, avatars, and Artificial Intelligence-enhanced content?
- What is the best performing content? (You might be surprised and want to rework the content strategy.)
- What is the top-performing social media network in Google Analytics?
- Are you integrating chatbots into your home page?
- Is there a place for 3D or immersive content?
6. Social Media Channel Review
This is where you want to review each channel, including this checklist:
- Page/profile optimization.
- Cover and profile image use.
- Visual assets.
- Video optimization (i.e. playlists, featured, etc.).
- Frequency and timing.
- Content types/mix.
- Comment sentiment and response time.
- Live video use.
- Engagement.
- Branding.
- Optimization.
- Chatbots and messenger use and strategy.
- Augmented reality use.
- Virtual reality.
- Creator coins.
- Web 3/NFT marketplaces such as OpenSea.
- Audio experiences such as Twitter Spaces and Clubhouse.
- Community platforms such as Discord.
- Security and privacy.
Integrate social media with your email marketing strategy.
Optimize email marketing by running retargeting campaigns. Share your email newsletter content on social media, including social media share opportunities within email marketing content.
Explore metaverse types of channels, including:
- Spatial.io.
- AltspaceVR.
- Horizons Worlds.
Tap Into Employees On Social
Don’t neglect to audit your customer-facing employees’ LinkedIn profiles.
Are they representing the brand well? Are they posting valuable content and building meaningful relationships?
“It’s no longer enough to focus on your company pages alone. You need to equip your team with the right strategies to build their personal brands on LinkedIn,” says Mandy McEwen, Founder & CEO of Mod Girl Marketing and Luminetics.
Considering four out of five LinkedIn members drive business decisions, LinkedIn is a gold mine right now for B2B organizations. The brands leading the pack to invest in building a tribe of industry thought leaders.
“I like to see how they handle the customer service on social media feeds,” says Melissa Fach, Lead SEO Content Manager at Kelley Blue Book & Autotrader.
Fach adds, “Many brands are using chatbots and Messenger wrong. They respond to everyone the same way. Chatbots will be a huge problem in the future if brands don’t start paying attention. Right now, it may look like they don’t care.”
Social PR Secret: Consider adding a chatbot strategy or SMS to your audit checklist.
See what the competition is doing and how you can improve social customer service, better serve website visits and improve messaging outreach using chatbots.
Social VR Secret: Consider investing in an Oculus headset and start exploring virtual worlds and landscapes to see where virtual reality content fits your social media strategy.
7. Competitive Social Media Review
Compare your brand’s social media channels with at least two competitors or like-minded brands.
Create a spreadsheet and make notations of:
- Publishing trends compared to competitors.
- Creative.
- Frequency.
- Content types.
- Influencers.
- Engagement.
- New social networks.
- New technologies.
- Use of Artificial Intelligence.
- Virtual worlds.
- Employee/team personal brands relate to your business brand and how they influence social media positively or negatively.
8. Content Style, Messaging & Optimization Analysis
This is an opportunity to see how well your content feeds social media results. Look at the overall content style and brand voice.
- Is your content robotic and informal, or is it personalized and conversational?
- Does your content reflect a strategic content calendar, or are you winging it?
- Are you using hashtags effectively to maximize reach?
- Is your social team considering trends?
- Are you paying attention to the latest features, bells, and whistles being introduced by channels? Make sure you are not using what worked last year versus what is performing the best this year.
- Be sure to claim social media profiles as new networks pop up so you can control the brand name on each channel.
Look at each social media network as its own search engine.
Social PR Secret: Brands need to optimize for each social media channel just like they would optimize using keywords, links, and images for Google.
Treat each channel like a search engine and optimize your content, images, video, and profiles.
“I look to see where social shares lead to,” says Fach.
“Is it helpful content versus something salesy? Offer a solution that will help the person – most brands make a promise and lead the audience back to misleading content. Avoid the bait and switch type of social content.”
Persona Review
When conducting your persona review, you might find your brand does not have any persona. Now is the time to add personas to your social media marketing regimen.
Every brand usually has several types of audience personas to target. If you don’t have personas, start with a template from xtensio or Hubspot.
Social PR Secret: Have a persona review with your team. Add insights, interests, and more details to make each persona as authentic as possible.
Remember to have one of the personas represent your brand’s targeted journalists, reporters, and media influencers.
Metaverse PR Secret: As we enter the Web 3.0 era, consider creating avatars to represent and interact with each persona (companies like Genies) or even as easy as using Bitmojis and Facebook avatars to interact and engage with your personas in a meaningful way.
9. Social Media Distribution & Publishing Assessment
Brand to self: “I’ve created amazing social media content! The only problem is it’s not getting exposure, reach, or results.”
Check to see the content channels and ensure the channels line up with your audience.
Consider additional distributions such as:
- Press Releases.
- Medium.
- LinkedIn.
- Guest posts.
- Events.
- Conferences.
- Trade shows.
- Webinars.
- Lives.
- Podcasts.
- Audio experiences such as Clubhouse, Twitter Spaces, and Discord.
- Communities such as Facebook Groups and Discord Servers.
“Make it easy for your team to share social media posts to their personal social media accounts, particularly LinkedIn and Twitter,” says McEwen.
Your employees’ personal social media channels are an overlooked distribution channel that can dramatically impact social ROI.
Social PR Secret: Content distribution is a critical step in social media success.
Many brands publish once and move on to the next piece of content. Guy Kawasaki’s famous advice for social media distribution is to publish, rinse, and repeat.
10. Visual Asset Audit, Including Video and 3D
Today’s social media visual trend mix includes all of the following:
- Live video.
- Vertical video.
- Square images.
- Stories.
- GIFs.
- Memes.
- Infographics.
- Augmented reality content.
- Lenses.
- Filters.
- Text overlay on images.
- Filtered images.
- NFTs.
- Virtual worlds.
- Digital goods and advertising.
- Avatars.
- PFP (picture for proof) and profile pic.
- Livestreams in digital experiences.
- 3D content on social and websites using platforms such as Threedium.
Make sure your video is optimized for each channel. Check out this cheat sheet for digital video optimization.
Match up today’s social media trends as to what is working and trending compared to your brand’s use of visuals.
Are you behind the times? Using last year’s famous trends? Are you keeping up with the Web 2.0 transition to Web 3.0?
Now is the time for a visual facelift to stay up to speed on what your audience is expecting and engaging in.
Sift through the trends and compare your visuals with this checklist:
- Types.
- Optimization (i.e., alt tags, titles, descriptions, playlists).
- Web/blog visuals.
- Social.
- Stories.
- AR/VR.
- Metaverse.
- Virtual worlds.
- Virtual events like Fashion Week in the Metaverse.
- Emerging tech such as virtual beings, holograms, NFTs, avatars, and using artificial intelligence.
“Make sure to keep your team up-to-date on the latest digital marketing,” says Neher. “Social media is always changing and evolving, so invest in yourself and your team with training, conferences, and events.”
Social PR Secret: Social media and digital marketing skills are the #1 in-demand skills for marketers. Investing in your skills future-proofs your career.
11. Dig Deep & Set-Up Accurate Tracking
You’ve got to be real when it comes to social media auditing.
Social media is full of “fluffy” metrics, such as likes and comments, commonly known as vanity metrics. These metrics types don’t really tell us a whole lot of meaningful insights.
“If you’re looking to dig a bit deeper and correlate actual ROI and money being made because of your social media efforts, you need to get nitty-gritty when defining your goals and metrics on social,” says Ashley Ward-Segura, Vice President Of Global Operations at TopHatRank.com.
One of the best ways to track an actual purchase from a social media post is to do any of the following:
- Use UTM codes within your social media posts with shortened links to product pages.
- Track the referral source in Google Analytics or Semrush.
- Create a unique promo code that you only share on a social media network. (Make sure you use a unique one for each social media network to track which network gives you the most purchases.)
- Leverage the power of QR codes.
Maybe purchases aren’t your thing, and those 500 likes are the gold mine for your business. That’s totally fine!
What’s important is defining a realistic goal, something actually measured from social media, and giving yourself a realistic timeline to do so, says Ward.
Let’s not forget that not everything is quantitative – there is the power of qualitative data.
It’s called “dark social,” meaning not everything in social can be tracked. Just because it’s not trackable does not mean it is not happening or having an impact.
12. Third-Eye Chakra
Consider bringing in a third-party outside source to review or facilitate a social media audit.
This independent insight can unlock fresh perspectives and ideas while also identifying problems and blocks your in-house team might not be able to see.
“We often conduct social media audits for brands already doing a great job,” says Neher.
“The outside perspective allows businesses to better benchmark and get a fresh set of eyes. Even businesses already doing a good job benefit from expert advice.”
A thorough analysis of the data is also key, says Neher. A strong social media audit from an outside consultant should include the following elements:
- A clear understanding of the business goals, objectives, and strategies.
- A deep dive into the analytics to review performance to date.
- Competitive analysis and data to support performance vs. competition.
- Industry expert best-practices assessment to determine opportunities.
- Addition of new trends and features to enhance results and performance.
Conclusion
Get on the scale, and see how your brand weighs in.
Are you overweight on Web 2.0 and lacking any muscle in Web 3.0?
This could be a social media health issue.
Brands that choose not to adapt to the rapid innovative changes moving away from the reliance on big techs like Google, Facebook, and Apple will have a lower survival rate.
Keeping your social media marketing healthy creates the most opportunity for audience retention and attention.
This is the Web 3.0 era of the social media community, creators, and utility.
It’s where your audience has more of a say so in your success than you do.
Adapt or die.
More Resources:
Featured Image: apghedia/Shutterstock
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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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