Google Bard just got an upgrade today, it now is better at math and logic responses by incorporating Google’s PaLM language models. “Today I wanted to share that we’ve improved Bard’s capabilities in math and logic by incorporating some of the advances we’ve developed in PaLM,” Jack Krawczyk, the Google executive leading up Bard and Google’s AI efforts, said on Twitter. What improved. Google’s Jack Krawczyk said that Bard can now better understand and respond to your prompts and questions when they are in a multi-step word and multi-step math problems format. Math improvements coming. Coding is coming soon to Bard, Jack Krawczyk added. The tweets. Here are his tweets with this announcement: Google PaLM. PaLM stands for Pathways Language Model. It is a large language model developed by Google with 540 billion parameters. Researchers also trained smaller versions of PaLM, 8 and 62 billion parameter models, to test the effects of model scale. More on Bard. As a reminder, Google announced Bard was coming the day before Bing Chat launched but Bard did not open to general users until ten days ago. The response Google received from Bard has been somewhat disappointing and underwhelming compared to that of Bing Chat and ChatGPT’s efforts. Even inside Google, employees urged the company to improve Bard. But Google promises more is to come and it will get better. In an interview released today from the NY Times, Sundar Pichai, the CEO of Google, said they intentionally launched a lightweight version of Bard and it will continue to get better and better over time. Why we care. Mostly, it is fun and exciting to see how these AI assistants and tools improve and are improving rapidly in such a short period of time. Be it ChatGPT, Bing Chat, Google Bard or others, following this space is a lot of fun. So give Bard another try and see if you find it to be any better today than it was yesterday. The post Google says Bard was updated to improve math and logic responses appeared first on Search Engine Land. via Search Engine Land https://ift.tt/3ryTsHW
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Did you know Google can now detect if scammers are overlaying fake phone numbers in user-contributed photos within Google Maps and automatically detect and block those photos from displaying on business listings within the local search results? Google has released some information on its efforts to combat fake content and reviews in Google Maps and local search. Here is some of the figures Google shared of those efforts, but was it enough? Google Maps spam fighting. Here are some of the statistics Google shared on how it fought Google Maps spam in 2022:
Machine learning. Google also added two new machine learning-based techniques to help detect and prevent spam in Google Maps. (1) Google said they released a new “machine learning model” that helped them “identify novel abuse trends many times faster than previous years.” This helped them find a sudden uptick in Business Profiles with websites that have .design or .top TLDs and quickly acted on those. (2) Google also added a new machine learning model to detect scammers who overlayed inaccurate phone numbers on top of user-contributed photos to scam searchers to call the numbers in the phone number and not the official business phone number. Is it enough. Just the other day, Jason Brown how hotels are being spammed with fake positive reviews and the hotel managers are nervous what this might result in. He also recently reported how review spammers are using ChatGPT to generate fake reviews for Google Maps. Google did say, “While we’ve made a lot of progress in this area, we know that scammers continue to evolve — and we will too.” Why we care. Spam and fake information in search is a hassle we all see and have to deal with as marketers. None of us like to be hit with spam, and none of us like to have fake reviews left on our businesses or clients’ business listings. Google is trying to reduce spam efforts but as you can imagine, it is a cat-and-mouse game. As Google comes up with more ways and techniques to prevent and/or reduce spam, spammers find other ways around those efforts. You can see Google’s efforts last year, over here. The post Google Maps can detect fake phone numbers in photos and remove them appeared first on Search Engine Land. via Search Engine Land https://ift.tt/N2hc9mn I know what you’re thinking. “I’m going on a trip to Cape May, NJ and need a true ‘hidden gem’ of a travel guide.” Well, if by some extreme fluke, you see one of BuzzFeed’s AI-assisted content in your search results, here’s my recommendation: avoid it. That’s because BuzzFeed has published 20 low-quality travel articles under the byline “As Told to Buzzy.” They’re all super formulaic and written in the first-person point of view. Or, do we now have to call it the “first-AI point of view”? (Does AI even have a view?) Why we care. Multiple articles are calling these “SEO-driven” travel guides. Let’s stop that now. If these pages rank for any competitive terms, Google has failed as a search engine. No, what BuzzFeed has done here is not “SEO”. BuzzFeed has simply published super low-quality, shallow, AI-generated articles written as a first-person narrative by the AI, about locations that exist in the world. Nothing more, nothing less. If these pages rank, it will be because it lives on an authoritative site, not because it’s any good. As Told to Buzzy. That is the profile name under which the 44 articles live. The biography of this AI writer: “Articles written with the help of Buzzy the Robot (aka our Creative AI Assistant) but powered by human ideas.” But this is BuzzFeed, so E-E-A-T doesn’t matter, right? All of Buzzy’s articles I looked at had a note at the top saying a version of “This article was collaboratively written by [insert name here] + Buzzy, our creative AI assistant.” Those collaborators seemed to all be non-editorial staff (from the business and sales side of the company), the Verge reported.
Hilariously terrible. Some of the lowlights, via Futurism:
Part of BuzzFeed’s core business. BuzzFeed CEO Jonah Peretti announced its big ambition in January: to “lead the future of AI-powered content.” If the future is now, I’m not impressed. AI can make many parts of the content creation process easier (e.g., brainstorming topics, structuring the article). The one thing AI clearly can’t do yet is improve the final product for the unfortunate humans who try to read it. Yes, you can easily create tons of AI-assisted or AI-generated content about whatever topic you want now. But the question is: should you? And the bigger question is – how will Google respond? Will the helpful content system catch low-quality, AI-assisted content and prevent it from ranking? Or will Google need to take new action as it did with content farms a decade ago with Panda? Dig deeper. More coverage on Techmeme. The post These 44 hilariously terrible BuzzFeed travel articles were AI-assisted appeared first on Search Engine Land. via Search Engine Land https://ift.tt/c84fTP6 Search marketers design, run and optimize campaigns – and rely heavily on spreadsheets to successfully do their jobs, according to a new Search Engine Land survey. Why we care. Although search marketers have several responsibilities and face a variety of challenges related to their roles and the technology they use, our survey shows that the majority of search marketers are satisfied with their work. The biggest responsibilities for search marketers. Designing, running and optimizing campaigns is the responsibility that falls onto most search marketers, either directly or through their team, according to our survey. At the director level and higher, 81% of marketers said designing, running and optimizing campaigns was their top responsibility. For managers/staff, the number was 67%. The next three responsibilities for all respondents were the same (though the percentages varied based on the role):
Here’s the full list of responsibilities we asked about: Search marketers live in spreadsheets. The overwhelming answer: spreadsheets. The question: Which marketing technology tools, if any, do you spend at least 10 hours a week working in? Clearly, the higher you go in an organization, the more time you’ll find yourself spending in spreadsheets:
Spreadsheets beat out analytics, project management, content management, marketing automation and other types of marketing tools. Most of the tools were used similarly by both groups. 67% said churn increased. Remember the Great Resignation (a.k.a., the Great Reshuffle) of 2021? It was real. LinkedIn was inundated with updates about people moving onto their latest and greatest career opportunities. While career moves are great for the individual, they proved challenging for 67% of organizations in 2022. Churn increased significantly (31%) or moderately (36%), according to our respondents. Luckily, 33% of survey respondents said they didn’t notice an increase in churn in their organizations in 2022 compared to 2021. Job satisfaction is high. Despite challenges and the ever-increasing complexity of search, 76% of search marketers are satisfied with their roles:
Part of this satisfaction may tie into our previous section – several marketers have changed jobs in the past two years. You would hope those who have changed jobs (or those who haven’t) are currently satisfied where they work and find their day-to-day duties rewarding. Meanwhile, 13% were either “somewhat” or “not” satisfied with their current role. The remaining 11% were neutral. Methodology. We surveyed 510 marketers between Jan. 11 to 23; 413 of those provided salary information. Invitations to take the survey were amplified on and by Search Engine Land. Nearly 67% of the 510 respondents live in North America; 20% live in Western Europe. The conclusions in this report are limited to responses from those individuals only. Others were excluded due to the limited number. The survey had more than 20 questions related to career roles, salary, technology, job satisfaction and challenges/frustrations. Respondents were given the opportunity to reveal their age and gender. The post Search marketing: Evolving roles, responsibilities, challenges appeared first on Search Engine Land. via Search Engine Land https://ift.tt/5lCSQzj Google’s ad business will celebrate its 23rd year this fall, but not before paid search undergoes massive changes. As traditional search evolves with the advent of AI-powered functionality, so will pay-per-click (PPC) advertising. It’s unlikely Google will sit idly by and take massive revenue hits as paid placements decline. We don’t yet know what they will roll out to capitalize on AI-powered search – or when exactly users will see ads in this AI-powered experience. We do know there will be fewer advertising opportunities, increased competition and higher costs. But AI will also help advertisers better target consumers – and it could help them optimize campaigns, too. Here’s a closer look at how paid search will remain relevant, but advertisers must adjust their strategies to reach their targets in this new era. The new searchAI assistants like Google Bard will help search evolve from transactional to conversational, according to Aaron Levy, vice president of paid search at performance marketing firm Tinuiti. “Historically, each query would yield a series of answers and that’d be the end of the relationship,” he said. “ChatGPT/Bard is asking that we shift from repeating and tweaking searches toward refining with a human-esque conversation. It’s the same task, but a different way of getting there.” In other words, there’s a new UI on the horizon for search. “The usual list of links you get will be replaced by a chat box where you can converse with an AI bot and get direct responses to your queries,” said Trifon Tsvetkov, head of growth at online code interview tool CodeInterview. “To an extent, this will be similar to the featured snippet functionality we can see now, but with a lot more detail.” To what extent this experience will overtake traditional search remains to be seen. Nevertheless, Tsvetkov noted that some portion of traditional search will decline, so businesses should expect their paid search acquisition channels to be negatively impacted in at least some capacity. That means brands that rely on paid search should also be prepared to evolve. The new paid searchThis could theoretically be troublesome for search giant Google, which Jon Clark, managing partner of digital agency Moving Traffic Media, noted has built its entire model around paid search. "But I can't imagine Google's just going to blow up their ad model tomorrow," he added. Indeed, Tsvetkov noted the odds are good Google will instead create new offering(s) to capitalize on AI-powered search functionality. "Fundamentally, these will still be driven by the user's input and online behavior, just like it is now," he added. "One example is referring products and services related to your AI-powered search, such as attraction tickets when asking the AI bot to create a travel itinerary." Levy, however, questioned at what point a query will be refined enough to deliver a relevant ad experience. "Are platforms going to deliver an ad on the first question, embed it in the conversation … or as part of a conclusion?" he asked. "My expectations are they'll be interspersed but closer toward the ‘conclusion' of the chat experience." That means ChatGPT/Bard will spend time understanding a consumer's preferences and budget before presenting sponsored ads. "This, to me, feels natural and won't be too ‘in your face,'" Levy added. In a similar vein, Eduard Dziak, CMO of B2B marketing site B2BDigitalMarketers, pointed to potential in "a more sophisticated version of pay-per-click (PPC) advertising" that is more natural and interactive and presents "a list of organizations that have paid to be featured, along with relevant information such as reviews, testimonials and experience." With more graphics and information, he said, "I believe it will provide an even better return on investment (ROI) than the current version of paid search ads, which can only provide information formatted in a limited way." He also envisions search engines incorporating display ads into search results to compensate for the loss of revenue from decreased web traffic. "These display ads can be seamlessly integrated with chatbots, using images, animations and even pre-selected frequently asked questions by advertisers," Dziak said. "This will make the search experience more interactive and natural for less technical users, such as my grandma, who can simply talk to chatbots about PPC or display ads." The new paid adsThat said, fewer links mean fewer ads. "Companies need to recognize that if AI is driving more efficient search results that deliver more accurate results to consumers, fewer searches will be necessary, leading to less overall ad exposure," said Rob Silver, executive vice president and head of media at interactive agency Razorfish. "This could lead to higher ad costs for sponsored listings and more competition for fewer placements." Hamza Hanif, SEO executive at web design agency Objects, agreed costs might increase as competition for top results intensifies. "Advertisers may need to pay more to achieve the same level of visibility on search engine results pages, especially if AI-powered algorithms favor organic search results over paid ads," he added. "This is because AI algorithms may be better at matching user intent with organic search results, making it more difficult for paid search ads to compete for visibility." Zaira Céspedes, junior SEO executive at digital marketing firm GA Agency, agreed. "Due to the improvement in the accuracy and relevance of organic search results that appear for users, it will become more challenging for paid search ads to stand out," she said. "This can lead to higher costs for PPC campaigns." Iu Ayala, founder of AI consulting company Gradient Insight, pointed out the potential for greater competition from larger companies with more resources and "an advantage in developing and implementing AI-powered strategies." At the same time, Silver noted this evolution makes SEO even more important since AI chatbot results increase the prominence of organic search results. As consumers interact with fewer links, Casey Jones, head of marketing at digital marketing company CJ&CO, expects to see an increased focus on upper-funnel ads in particular. When planning a trip, for example, AI-powered search will eliminate many necessary queries from traditional search. "This means businesses will need to invest heavily in building brand awareness so that when AI serves options, people will choose what they're already familiar with," Jones added. "When people know what your products and services are about, they'll be able to distinguish and make an informed choice while buying." Silver agreed. "Companies need to prioritize brand awareness through elevated content that showcases the benefits and differentiation of their offerings," he said. "When one of their ads does appear, it will be that much more important for it to resonate and have an impact with the consumer who sees it." Meanwhile, because AI-powered search better understands user intent, it will prioritize ads that are even more relevant to a given query. It may even become more selective about which ads to display. "This means that advertisers will need to create more targeted ads tailored to specific user needs and interests," said Syed Sameem Rizvi, a data scientist at IT company Code Avenue. "[And] advertisers may need to create a variety of ad formats in order to optimize their visibility on SERPs." The new targetingOn the plus side, AI-powered search should yield better targeting. "AI can analyze large sets of data more efficiently than humans can, without compromising accuracy or relevance," said Oskar Nowik, head of SEO at point of sale software company Epos Now. "With this capability, search marketers are able to more accurately predict what their consumers want when they make their queries – resulting in more targeted ads that generate higher engagement rates and improved conversions." In addition, AI-powered search can yield more accurate insights into search behavior, which will also help target consumers, personalize content and increase efficiency/ROI from paid search campaigns, said Søren Lassen Jensen, a junior digital marketer at cybersecurity firm CyberPilot. The new optimizationIn addition, Hanif expects AI-powered algorithms will help advertisers better optimize their paid placements. "By analyzing user behavior and search patterns, AI algorithms can identify which ads are most likely to resonate with users and which ones are not," Hanif said. "Advertisers can then use this data to tweak their ad copy, keywords and targeting parameters, improving their ad performance over time." Ayala agreed. "One of the main advantages of using AI in paid search is its ability to identify the most effective keywords, ad placements and targeting strategies," he said. "By analyzing consumer behavior and historical data, AI-powered tools can provide recommendations on how to optimize campaigns and improve conversion rates." In addition, Nowik noted that AI-powered algorithms could quickly determine the best possible ad placements and the optimal time for consumers to view ads to maximize conversions and minimize cost. Céspedes said some AI-powered search tools might not provide full transparency into how results are generated, which could be an optimization challenge. Meanwhile, Jensen warned algorithms and AI-powered search might not be able to capture all of the nuances within a query, which could lead to inaccurate results or costly mistakes if not monitored closely. He expects results will be difficult to replicate and monitor due to the complexity of the AI algorithms. "This can also lead to skewed data insights, which can then lead to inappropriate decision-making," Jensen added. "Also, how will it be facilitated? We already know that the AI bots learn from the previous chats that you have with them." Levy, however, noted tracking is already "very broken" and he expects it will only get muddier as cookies finally pass and Google rolls out its version of Safari's Intelligent Tracking Prevention (ITP). "Things will get more complicated and, if anything, rely more on AI modeling to present the most correct view of performance," he added. The new keywords/biddingFinally, expect changes in the backbone of PPC campaigns: keywords. Nowik believes AI-powered algorithms will help automate the bidding process by detecting which keywords are most relevant so marketers don't have to test combinations themselves manually. "This helps save time and money since prices for each keyword need not be adjusted based on trial-and-error tests," he said. In the meantime, Jones expects broad match – which helps advertisers reach wider audiences without extensive keyword lists – will be more relevant than ever. This, he said, is good news for Bing because it uses Microsoft's AI model, which prioritizes relevancy and will enhance the performance of broad match in paid search. "In the present scenario, Microsoft's language model is better equipped to make Bing's broad match more effective and improve paid search traffic to advertisers," he said. "This means Bing will have a larger paid search budget compared to Google, which will be a big positive for advertisers." Levy questioned whether AI-powered search will change auction dynamics from a bidding model to a commission-based/affiliate model, like Microsoft's Hotel Price Ads and Google's Local Services Ads. "I envision more payment options for advertisers, which could throw things for a loop," he added. But, Kacper Rafalski, demand generation team leader at software development company Netguru, said it could also lead to increased reliance on automated systems and decreased control over ad targeting and bidding. For his part, John McGhee, owner of digital agency Webconsuls, believes keywords will become obsolete in their current form as Google Ads and Microsoft Ads migrate to a conversion-based system. "Currently, adjusting keyword match types, keyword bids and adding negative keywords are still the primary way to improve relevancy and get your ads in front of the right users," he said. "In the future, those tasks will move over to adjusting various conversion actions and their values." That means PPC will use ROI-based bid strategies – and instead of raising a keyword bid, advertisers will adjust the value of a conversion action. "With AI expanding touch points massively, signals will replace search queries as the primary method of gauging user intent," he added. The post How paid placements will evolve alongside AI-powered search appeared first on Search Engine Land. via Search Engine Land https://ift.tt/8pMx6Jk You’ve heard of a business mission statement – but have you also heard of a content marketing mission statement? This is an important piece of text that should head up your content strategy. Outlining your content marketing mission statement will give your content efforts a greater purpose. It will drive you toward a specific direction that aligns with your goals and the impact you want to create. Needless to say, it’s really important to know how to create this special mission statement. Crafting it should be one of the first things you do when you build a content strategy. Let’s dive into all the details. What is a content marketing mission statement?A content marketing mission statement is a short statement that describes the overarching purpose of your content marketing efforts and activities. This statement answers the question: What do you want your content marketing to achieve overall for your business and your audience?
A content marketing mission statement can act as the banner or guiding light your team follows to ensure every action you take in the name of your content stays true to your brand values and your audience. And if you’re confused about the difference between your business mission statement and your content marketing mission statement, think of it this way: Your business mission statement explains the reason why your brand exists. Your content marketing mission statement explains why you’re doing content marketing. Why should you create a content marketing mission statement?Creating a content marketing mission statement is key to building a content strategy. And without a content strategy, your content efforts are much more likely to fall flat. Up to 78% of marketers who reported their marketing was very successful also reported having a documented content strategy, according to a Semrush survey. “Documented” just means “written down somewhere.” That distinction is important. You can talk about strategy all day, but recording it makes it real and present. With a document in hand, you have something substantial to reference and follow, an agreed-upon set of guidelines versus the idea of that strategy floating around without form or function. To sum up, your content marketing mission statement sets the purpose of your content marketing overall. (Without that purpose, your strategy will be aimless.) It can guide:
And once you write that mission statement down, it becomes a solid, shared, agreed-upon guideline your whole team can follow and unite around. How to write a content marketing mission statement in 3 stepsThere are three major components to writing a content marketing mission statement: target audience, topic area and benefits. 1. Know your target audienceWho are you creating content for? You must know this before crafting your content marketing mission statement. In a nutshell, these are the people who will get the most value and benefit from your content. They’re not necessarily people who know your product or service exists or have a pressing need. Instead, your content audience includes people with information needs you can meet. They’re the people your brand can help with expert knowledge. For some of these people, enough nurturing and positive experiences with your content might eventually lead to them becoming your customers. That’s what content marketing does – but it’s not the point of your content marketing mission statement. So, when you think about your audience, keep it focused on who needs your content and who’s missing the unique expertise of your brand. 2. Find your topic areas and content formats of focusNext, determine what information you’ll share in your content. The intersection of the brand expertise (your unique mix of knowledge + experience) and what your audience wants is the sweet spot to find:
After you narrow down your topic areas, you should also outline the main content formats you’ll focus on. This shows how you’ll deliver the information your audience wants. Blog posts are a given, but what form will those take? Tips and advice? Helpful guides? Step-by-step tutorials? Ideas and inspiration? Stories? Consider other formats, too, beyond blogs. Videos. Podcasts. Original research. Interviews with experts. For example, my brand delivers value through content through weekly blog posts, bi-weekly podcast episodes, and bi-weekly videos. 3. Explain how you help your audience using contentIt’s time to combine items 1 and 2 to craft your content marketing mission statement. How do you help your unique audience with your unique content? What benefits will your potential reader get from the information you’ll provide? Explain the biggest benefit(s) as simply as possible. Consider what will make your content different from what’s already out there and how you’ll deliver value differently. Here’s a formula for how to state your content marketing mission:
For example, “We help small business entrepreneurs by providing insightful financial tips and advice to help them manage their businesses better and reach their career dreams.” Need some real-life examples of how other brands have crafted their content mission statements? Here are seven of them. Canva
The Kitchn
OpenForum
Harvard Business Review
WordStream
NerdWallet
Apartment Therapy
Write your content marketing mission statement with confidenceYour content marketing mission statement is a guiding sentence that gives your content efforts a deeper purpose. You're not just creating content to increase leads or get more traffic – you're creating content to help a specific type of person reach a specific goal with your brand's unique mix of knowledge and expertise. And, when you write down your content mission and share it with your team, that's a uniting factor that will give everything you do more purpose. Rally around your content mission, rely on it as you build your content strategy, and return to it as you create content and execute your plan. In turn, it will help guide you toward the results you want. The post How to write a content marketing mission statement appeared first on Search Engine Land. via Search Engine Land https://ift.tt/gDiudhb Twitter could grant free verification to its top 500 advertisers and 10k most-followed organizations3/30/2023 Twitter intends to impose a $1,000 monthly verification fee on organizations but will exempt its top 500 advertisers and the 10,000 most-followed organizations with prior verification, as per an internal document acquired by The Times. The document also indicates that all accounts purchasing verification will undergo a review to ensure they are not engaging in impersonation. Why we care. Musk’s plans to charge organizations for verification could potentially impact their social media marketing strategy. A verification badge would typically be a valuable tool for businesses as it helps to establish their legitimacy and credibility on the platform. It indicates that their account is authentic, and helps to build trust with their audience. If Twitter is now charging for verification, it may make it more difficult for smaller or emerging businesses to obtain the badge, which could affect their ability to attract and retain followers. Additionally, the fact that Twitter is making exceptions for its top advertisers may create an uneven playing field, with larger organizations having an advantage over smaller ones. The Twitstorm Timeline. Announcements from Twitter have been relatively quiet as of late. But here are some of the biggest changes (and reversal of said changes) since Musk took over:
The post Twitter could grant free verification to its top 500 advertisers and 10k most-followed organizations appeared first on Search Engine Land. via Search Engine Land https://ift.tt/5LGtUPq In (not) a shocking twist, men earn an average of 26% more than women in search marketing, according to a new Search Engine Land survey. In particular, men earn significantly more than women in senior positions. Additionally, the data revealed that women were more likely to have changed jobs or received promotions more recently than men, highlighting the ongoing churn in the job market. This article will dive deeper into the survey’s key findings, examining the implications for professionals and organizations in the surveyed regions. Overall, men earned 26% more than women. Despite advances in gender equality and the growing number of highly competent and qualified female marketing professionals, it remains a pervasive problem.
These results, based on a sample size of 267 individuals, suggest that gender pay inequality remains a persistent issue in the surveyed regions. This pay gap can be attributed to a combination of factors, including:
Men in senior positions earn nearly 30% more than women. Continuing on the last result, we found that men in senior positions earn nearly 30% more than women in similar roles. For senior and management positions, the average salary for men was 7% more than women, the data revealed:
However, the gap widened significantly in the average salary for VP/C-level positions:
That’s a 28% difference. Why the disparity? These findings, based on a sample size of 128 individuals, highlight that income inequality often stems from deep-rooted systemic biases, workplace discrimination, and entrenched cultural norms that favor men in leadership roles. It can also be exacerbated by the “glass ceiling” effect, where women face invisible barriers to advancement and are consequently underrepresented in top management positions. As a result, the gender pay gap in senior roles perpetuates the gender power imbalance within organizations, undermining the principles of fairness and equal opportunity. 55% of women were promoted or changed jobs in the last 12 months, vs. 47% of men. The survey results indicate that women were more likely to have changed jobs or received promotions more recently than men. The data showed that among the respondents, 55% of women had received a promotion or switched jobs within the last year, compared to 47% of men. Specifically, 20% of women had done so within the last 6 months, while 33% had done so within the last 6-12 months. In contrast, only 19% of men had done so within the last 6 months, and 28% had done so within the last 6-12 months. These results are based on a sample size of 267 individuals and suggest that women may be more proactive in seeking career growth opportunities or may be experiencing turnover at a higher rate than men. However, there are also several reasons that could support women changing jobs at a faster rate than men.
Men are slightly more satisfied with their current roles. Both women and men reported high levels of satisfaction with their current roles, according to the survey results. However, women reported slightly higher when it came to “extreme satisfaction” levels compared to men:
The proportion of women and men who were neutral or somewhat unsatisfied was similar:
Only a small percentage of both men and women reported being not satisfied with their current roles. These results, based on a sample size of 267 individuals, suggest that overall, professionals in the surveyed regions are content with their current positions, although there may be some slight differences between genders. Why men may be more satisfied. A few possible reasons:
About the data. The data was collected between Jan. 11 and 23:
The post Gender pay gap persists: Men earn 26% more than women in search marketing appeared first on Search Engine Land. via Search Engine Land https://ift.tt/EHFkmvi Since ChatGPT launched, the debate around the “fair use” of public website content for AI training – and whether this is plagiarism – has raged. That debate has only gotten louder and more intense since OpenAI announced ChatGPT plugins on March 23. One of OpenAI’s plugins is an official ChatGPT-hosted web browser. It will allow their models to read information directly from the internet. Since we still see daily posts and tweets and prompt examples claiming otherwise, it’s worth repeating here: The current instance of ChatGPT cannot access anything on the internet. It doesn’t use a database or store content from websites like a search engine does in an index. What this means is that, without a plugin, ChatGPT is still stuck in 2021, predicting the next word based on its old training data. Even the current Bing implementation is (in a simplified explanation) pulling keywords from your prompt, doing a Bing search, feeding in the results that would appear for that keyword, and then asking the AI to “summarize” those results. And that’s how plugins are going to change everything. Pretty soon, ChatGPT will be able to feed in content from third-party websites for the AI to summarize or manipulate – the same way Bing is doing. Many third-party plugins and tools can already scrape content from a website, feed it into a prompt to the OpenAI API, and summarize or manipulate that text. However, with an official web browser plugin, this usage is about to increase drastically. You can block OpenAI’s ChatGPT-User botOpenAI has given us details about their bot – including how to block it. It’s worth noting that OpenAI will behave just like any other bot, following the robots protocol. It will assume it can access content unless it’s specifically told otherwise in a robots.txt file. OpenAI and ChatGPT won’t crawl the web like a search engine. And, as far as we can tell, they aren’t using this data for training (yet?). All requests will be the result of a direct request from a user. Another fun fact: it does this using the Bing search API. This likely means that if Bing can’t see the content on your website, neither will ChatGPT. This brings us to a question I have seen a lot lately: Should we block the OpenAI bot from accessing our websites?The citation/plagiarism/sources/copyright debate has been raging for a while and could easily take 20,000 words to dig into. My short answer: No. Most websites shouldn’t block AI from accessing your website. Let’s dig deeper into why. Take a wait-and-see approachWe shouldn’t block any new technology until we have enough data to make an informed decision. Sure, some copyright issues could be at play, but AI plugins could also become a new source of discovery and traffic. OpenAI says it will cite sources when plugins pull data from third-party websites. This means there will definitely be potential to get clicks from ChatGPT if a user pulls in your content. Blocking access only means that ChatGPT (or your user) will cite somebody else’s website. Many people having this debate start with the flawed assumption that if people can’t get the content from ChatGPT, then they’ll have to visit the website. I don’t think that’s true. The reality is that they’ll get the content from your competitor. Given how many people are using ChatGPT for content creation these days, there’s a decent chance that if somebody uses the tool to pull content from your website, they might link to you wherever they post the output. You’ll be passing up this chance if you block it. We need to think long termI remember having similar conversations about iPhone apps and the app store when it first came out in 2008. The app store changed the interface of mobile phones. Sure, you could (and still can) do most of what an app can do with a website, but the app store is where people went to find and discover websites. AI will have a similar effect in changing the internet’s user interface. This isn’t going to kill search engines. However, AI will be a new starting point for many web users. That means plugins might be your only opportunity to reach these users. We need to start thinking of AI as a new acquisition channel – just like we do with search, social and retail platforms or app stores. The time to start thinking about your AI and AI plugin strategy was last week. Most marketers are already behind – but it isn’t too late! The post Should you block ChatGPT’s web browser plugin from accessing your website? appeared first on Search Engine Land. via Search Engine Land https://ift.tt/J05ycG2 Meta introduces AI-powered brand suitability controls and third-party verification for feeds3/30/2023 Meta has just unveiled new inventory filters for Facebook and Instagram Feeds, now accessible to advertisers in English- and Spanish-speaking markets. In partnership with Zefr, the third-party verification solution for Facebook Feed is also available, with more Meta Business Partners set to join in the coming months. Why we care. Ensuring that ads appear next to suitable content helps maintain a positive brand image. Associating with inappropriate or controversial content can harm a brand’s reputation and, in some cases, lead to public backlash or loss of consumer trust. Additionally, by placing ads in suitable contexts, advertisers can better connect with their target audience, increasing the likelihood of successful engagement, higher click-through rates, and improved conversion rates. AI-powered solutions. Meta has also developed a multi-stage AI review system to classify content for advertisers, ensuring brand suitability controls are implemented. This system complements existing technology that identifies content that violates or potentially violates Meta’s Community Standards and Guidelines. How it works. The AI system classifies content, including text, video, and images, within Facebook and Instagram Feeds to determine if it complies with monetization policies. If the content does not comply, ads will not appear above or below it. The models then assign eligible content a suitability category. Partnership collaborations. Meta has collaborated with industry partners, such as the Global Alliance for Responsible Media (GARM), to create controls that align with GARM’s Suitability Framework, which categorizes content as high, medium, or low risk. Advertisers now have three options to control the types of monetizable content that can appear above and below their ads:
In the future, Meta plans to extend these controls to support more languages and make them available to advertisers in additional countries. They will also begin testing these controls on other placements, such as Reels, Stories, Video Feeds, and other surfaces across Facebook and Instagram, to further understand advertiser preferences and improve the technology. Third-party brand suitability verification. Meta has collaborated with Zefr to develop and test an independent AI-powered solution that reports the context in which ads appear on Facebook Feed. During early testing, it was discovered through third-party verification with Zefr that less than one percent of the content on Facebook Feed falls into the high-risk GARM suitability category. Zefr’s AI product evaluates video, image, text, and audio to categorize Feed content based on GARM suitability standards. This solution empowers advertisers to measure, verify, and comprehend the suitability of content near their ads, enabling them to make well-informed decisions to achieve their marketing objectives. Later this year, Meta plans to extend this verification and measurement solution to more badged Meta Business Partners. Dig deeper. You can read the announcement from Meta here. The post Meta introduces AI-powered brand suitability controls and third-party verification for feeds appeared first on Search Engine Land. via Search Engine Land https://ift.tt/qjUafZx |
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