MARKETING
Will ChatGPT Spell the End of Search Engines?
Over the past several months, ChatGPT has been earning enough headline mentions that it’s becoming a bit of a celebrity in its own right. And as for the sentiment of those headlines and supporting articles, many fall into one of two buckets:
- ChatGPT is so exciting—look at all the fun stuff it can do and time it can save!
- ChatGPT is the end of the internet, our jobs, and life as we know it—the time is nigh to prepare for the robot revolution!
At Tinuiti, we’re largely members of the first camp. We recognize that ChatGPT (Chat Generative Pre-trained Transformer) is likely to change how we use the internet—particularly when looking at the functionality and UI of search engines specifically—but where others see a threat, we see a valuable tool.
ChatGPT doesn’t need to be a replacement for anything to be revolutionary; it can be a pivotal cog in the wheels that help improve the search experience for marketers and users alike. In this article, we’ll discuss some of the biggest ways we expect ChatGPT might reshape search (no robot overlords required), and how it can make your life easier.
What is ChatGPT & How Does It Work?
ChatGPT is an AI-powered chatbot developed by OpenAI, an artificial intelligence and research company perhaps best known for their DALL-E and DALL-E 2 deep learning models. ChatGPT was launched in November 2022, and is currently free to use, having earned more than 100 million users by January 2023. For context, it took TikTok nine months to reach that number of users after its successful launch.
Similar to search engines, ChatGPT is designed to help you find the information you’re looking for online. Rather than simply eliciting responses or a list of links to choose from, ChatGPT enables users to engage in a form of conversation.
Users are even able to build on previous questions they have asked in a ChatGPT session, helping them get closer to the results they were looking for, much like refining a search query. These questions can also be driven by the user’s learnings from previous responses, making it easier to explore all those tangents in your mind without opening 100 tabs.
ChatGPT can even deliver an essay-length response given the right prompt, which naturally has many teachers and writers alike concerned. It has even tried its hand at penning a State of the Union speech, in the writing styles of William Shakespeare, Martin Luther King Jr., and other notable historical figures.
As shared by OpenAI:
“The dialogue format makes it possible for ChatGPT to answer followup questions, admit its mistakes, challenge incorrect premises, and reject inappropriate requests. ChatGPT is a sibling model to InstructGPT, which is trained to follow an instruction in a prompt and provide a detailed response.”
In order to deliver the information users are looking for, ChatGPT had to have a lot of training. OpenAI shared that the current model of ChatGPT was trained using Reinforcement Learning from Human Feedback (RLHF), with human AI trainers being instrumental in helping GPT determine whether a provided response was high quality.
To accomplish this, OpenAI had human AI trainers lead both sides of the conversation—a bit like talking to yourself. Trainers were provided with “model-written suggestions to help them compose their responses.” OpenAI then “mixed this new dialogue dataset with the InstructGPT dataset,” transforming that into dialogue format. Comparison data was then collected so they could compare the responses and assess their quality.
ChatGPT Considerations
While ChatGPT does function similarly to a search engine in that it can be used to find answers to queries, it’s important to remember that just like search results themselves, not all of those answers are going to be accurate. To make matters worse, ChatGPT is exceptionally adept at making inaccurate answers sound quite plausible thanks to its language capabilities. If you’re asking it a question about something you know little about, these wrong answers can be tough to spot.
Tools like ChatGPT and Google’s Bard, covered below, are fundamentally “asking” users to add conversation-based behavior to their existing query-based behavior. At least for now, it doesn’t look like they’re planning to have one replace the other.
Additionally, based on how ChatGPT functions today, it is also likely to be more useful for looking for answers than looking for things to purchase.
“For those who are using Google Search for educational or research purposes, I think the potential value-add of an AI-powered chatbot is obvious. But for direct-response or shopping-related behaviors, I think the use cases are a bit more nuanced. I think there are ways to use AI, and LLMs (large language models) particularly, to help make Google Search a more refined product, and to give people better results than what they’re getting today for a lot of searches. But I don’t view ChatGPT as a direct threat to Google’s search business.”
— Josh O’Donnell, Sr. Strategist, Paid Search at Tinuiti
Is ChatGPT a Threat to Google?
If Google didn’t make any changes to adapt to the post-ChatGPT landscape, it could be seen as a threat to how many people would continue to use Google as their primary search engine. But simply put, that isn’t happening.
Google is constantly evolving to meet the changing needs and demands of users and advertisers, with advances in AI and machine learning fueling many of those updates. Among the most foundational ways they evolve is through Google algorithm updates. In addition to the nuanced changes Google is making to their algorithms every day, they also make significant adjustments as necessary to improve user experience and search result quality.
It’s also important to consider that like all new things, the lasting power of the thrill is yet to be seen. Will this simply be a fun new techy thing users experiment with for a few weeks, and quickly forget? Or will this be something that some of us consider a crucial tool in our daily lives, while others simply don’t latch onto the trend at all?
Josh O’Donnell, Sr. Strategist, Paid Search at Tinuiti, notes that ChatGPT may have a similar path of adoption as voice assistants…
“If we think back to when home voice assistants like Amazon Alexa first launched, it suddenly seemed like everyone had one, and many thought that search would be drastically changed as a result. But today—while voice assistants are inarguably very popular—the core search experience has persisted, with added functionality for voice-enabled searches. I think we will see a fairly similar path for AI-powered chat tech. The search experience will evolve to incorporate the new technology, augmenting the search product and powering better search experiences, but the core concept of what a search engine is and what a search engine does will continue to persist.”
How ChatGPT Will Likely Change Google Search
Google is already heavily invested in the AI space, and has a history of adapting to changing needs and technologies. Google recently announced their own conversational AI technology—Bard A.I., powered by LaMDA—noting that it will roll out to “trusted testers” before a public release in coming weeks.
Google announced LaMDA (Language Model for Dialogue Applications) in May 2021, sharing at the time that they had “invented machine learning techniques that help us better grasp the intent of Search queries.” They also shared that “LaMDA’s conversational skills have been years in the making,” and the language model was built on Transformer, the “neural network architecture that Google Research invented and open-sourced in 2017.” Other recent language models built on Transformer are Google’s own BERT, and GPT-3.
This is all to say that the idea of AI isn’t new to Google, and their own research and technology have helped pave the way for ChatGPT. That said, with great power comes equally great responsibility, and Google has not only power but a reputation to protect. When you’re the world’s largest search engine, the bulk of your work comes in maintaining your position, while others in your space can afford to act more quickly in the name of hoping to secure some of your users.
While Microsoft has plans to integrate GPT into Office products and Bing search by March of this year, and is heavily invested in OpenAI, we expect to see any major changes from Google to be carefully experimented with before widespread release.
Below are two ways we expect the widespread adoption of ChatGPT might change the Google experience:
Option 1: AI-Powered Enhancements to SERPs
In this scenario, the Google search experience as we know it today would remain largely unchanged, but would be updated with some minor AI-powered enhancements to better help users cut through the noise and clutter that SERPs sometimes provide.
Option 2: Refining Searches with AI-Powered Chat
In this scenario, Google would adapt to a new AI-powered chat + search experience, which would present a more refined way to search for things. However, it’s yet to be seen whether the preference for a chat-powered search interface is truly something that will stick with consumers beyond the “aha” moment we currently find ourselves in.
For a preview of what Option 2 might look like on Google and Bing, check out You.com.
Source: You.com
The end-user preference between these two options will be largely dictated by the nature of the search query. For example, simple Q&A searches are going to be better suited to the Q&A format that an AI-powered chatbot can provide. However, for most queries, we still believe search engines will be the preferred route for users.
Sample Scenario:
Let’s consider a searcher is looking to buy a new pair of running shoes. Are they more likely to find value in a list of results along with images of different shoes and customer reviews to help them evaluate which shoe is right for them—like they do today—or would they rather have ChatGPT just tell them what shoe to buy without considering any other sources of information?
For these purchase-related searches—the vast majority of searches that fuel Google’s ad revenue—the traditional search design still seems to make the most sense.
The value of search is that you get multiple options and perspectives from a variety of sources all centrally displayed on one page. GPT-3 and other LLMs will help augment this design to make it more relevant and useful, but we don’t see it fully replacing search as a tool, at least not anytime soon.
For more information about Google’s work on similar projects, check out a few additional developments they have announced in recent years, including:
Source: https://ai.googleblog.com/2022/04/pathways-language-model-palm-scaling-to.html
Additional Expert Takeaways on ChatGPT
“Technology is not going to replace all that we do. But here is one thing it is going to reduce the use of — our fingers. So that instead of merely typing, we can increase the use of our brains & our voices, not to mention our creativity & analytical thinking/problem-solving. Today, we can’t imagine a world of work without email or Slack. But email & Slack didn’t replace humans talking to each other. They just made it faster & more efficient than picking up the phone or faxing. Same for ChatGPT and all the others that will come in its wake.”
— Zach Morrison, CEO of Tinuiti
“I like to think of innovations in AI similar to what we experienced with graphic design. Before Photoshop, digital images were expensive, and not something you could do in-house—and forget about editing or enhancing photos yourself. Photoshop brought all the power to your desktop. We went from thinking Photoshopped images were unbelievable to being weary and in disbelief (that’s Photoshopped!). Today, thanks to Apple and Google, and their AI solutions, our camera phone photos are unbelievable (that came from a phone?!). Then there are those that take those filters and enhancements too far (looking at you, r/instagramreality).
So now we have tools like DALL E and ChatGPT in our hands; if we do this right, we’ll get some unbelievable results, enhancing human creativity and capability. Abuse it? Well, we’ve been here before. We won’t believe what we’re seeing, hearing, or reading.”
— Nirish Parsad, Practice Lead, Emerging Tech at Tinuiti
“Once I have the idea, the slowest part of my working process is starting. It is much easier for me to provide feedback than to start. ChatGPT has been great at starting for me, which allows me to [heavily] edit, finesse, and finish, accelerating the whole process. With the extra time comes more ideas.”
— Jesse Math, VP, Integrated Solutions at Tinuiti
Closing Thoughts
GPT-related tech will undoubtedly disrupt the industry, but it’s hardly the first disruption, and it’s unlikely to threaten Google’s existence, power, and purpose. And—in the right hands, given the right prompts—it can function as an important time-saving tool for searchers and marketers.
Bear in mind that we don’t miss the irony of writing about something that many writers feel will render their jobs obsolete; if that’s the case, it’s a bit like training the person who will replace you. But that’s where it’s important to consider that ChatGPT is drawing its answers and conclusions not from things it has written, but human-provided and uploaded information. It is “intelligently” analyzing that information to determine the best answer to provide, but the information itself did not originate outside the human mind.
Additionally, while ChatGPT has an abundance of information to work with in generating a response, that response will always be based on things that have already been written. If we over-relied on AI-generated content for gathering and generating information, the internet would start to look like a slightly nuanced piece of rehashed duplicate content. Google already knows we don’t want that.
It’s also worth considering that those full-bodied answers ChatGPT often generates when answering a question are exactly the kind of content that professional writers strive to create.
When Google has determined that a resource is a relevant answer for a given query, that landing page is typically rewarded with a higher ranking for related searches in the organic SERPs. In that sense, ChatGPT—which would be drawing its information from what it deemed to be the most credible sources on the internet—can be thought of more as an efficient aggregator. And that is one of the many ways our teams are using it at Tinuiti—as a thought-starter that gets some initial ideas down and flowing.
So in what specific ways can marketers make the best use of this tool to improve their efficiency, and free up more time for strategy and execution? Check back soon for an upcoming blog post providing actionable tips for how PPC marketers can start using the GPT tech that’s available today to make their day-to-day activities easier, or contact us today to chat with a (human!) expert.
MARKETING
YouTube Ad Specs, Sizes, and Examples [2024 Update]
Introduction
With billions of users each month, YouTube is the world’s second largest search engine and top website for video content. This makes it a great place for advertising. To succeed, advertisers need to follow the correct YouTube ad specifications. These rules help your ad reach more viewers, increasing the chance of gaining new customers and boosting brand awareness.
Types of YouTube Ads
Video Ads
- Description: These play before, during, or after a YouTube video on computers or mobile devices.
- Types:
- In-stream ads: Can be skippable or non-skippable.
- Bumper ads: Non-skippable, short ads that play before, during, or after a video.
Display Ads
- Description: These appear in different spots on YouTube and usually use text or static images.
- Note: YouTube does not support display image ads directly on its app, but these can be targeted to YouTube.com through Google Display Network (GDN).
Companion Banners
- Description: Appears to the right of the YouTube player on desktop.
- Requirement: Must be purchased alongside In-stream ads, Bumper ads, or In-feed ads.
In-feed Ads
- Description: Resemble videos with images, headlines, and text. They link to a public or unlisted YouTube video.
Outstream Ads
- Description: Mobile-only video ads that play outside of YouTube, on websites and apps within the Google video partner network.
Masthead Ads
- Description: Premium, high-visibility banner ads displayed at the top of the YouTube homepage for both desktop and mobile users.
YouTube Ad Specs by Type
Skippable In-stream Video Ads
- Placement: Before, during, or after a YouTube video.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Action: 15-20 seconds
Non-skippable In-stream Video Ads
- Description: Must be watched completely before the main video.
- Length: 15 seconds (or 20 seconds in certain markets).
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Vertical: 9:16
- Square: 1:1
Bumper Ads
- Length: Maximum 6 seconds.
- File Format: MP4, Quicktime, AVI, ASF, Windows Media, or MPEG.
- Resolution:
- Horizontal: 640 x 360px
- Vertical: 480 x 360px
In-feed Ads
- Description: Show alongside YouTube content, like search results or the Home feed.
- Resolution:
- Horizontal: 1920 x 1080px
- Vertical: 1080 x 1920px
- Square: 1080 x 1080px
- Aspect Ratio:
- Horizontal: 16:9
- Square: 1:1
- Length:
- Awareness: 15-20 seconds
- Consideration: 2-3 minutes
- Headline/Description:
- Headline: Up to 2 lines, 40 characters per line
- Description: Up to 2 lines, 35 characters per line
Display Ads
- Description: Static images or animated media that appear on YouTube next to video suggestions, in search results, or on the homepage.
- Image Size: 300×60 pixels.
- File Type: GIF, JPG, PNG.
- File Size: Max 150KB.
- Max Animation Length: 30 seconds.
Outstream Ads
- Description: Mobile-only video ads that appear on websites and apps within the Google video partner network, not on YouTube itself.
- Logo Specs:
- Square: 1:1 (200 x 200px).
- File Type: JPG, GIF, PNG.
- Max Size: 200KB.
Masthead Ads
- Description: High-visibility ads at the top of the YouTube homepage.
- Resolution: 1920 x 1080 or higher.
- File Type: JPG or PNG (without transparency).
Conclusion
YouTube offers a variety of ad formats to reach audiences effectively in 2024. Whether you want to build brand awareness, drive conversions, or target specific demographics, YouTube provides a dynamic platform for your advertising needs. Always follow Google’s advertising policies and the technical ad specs to ensure your ads perform their best. Ready to start using YouTube ads? Contact us today to get started!
MARKETING
Why We Are Always ‘Clicking to Buy’, According to Psychologists
Amazon pillows.
MARKETING
A deeper dive into data, personalization and Copilots
Salesforce launched a collection of new, generative AI-related products at Connections in Chicago this week. They included new Einstein Copilots for marketers and merchants and Einstein Personalization.
To better understand, not only the potential impact of the new products, but the evolving Salesforce architecture, we sat down with Bobby Jania, CMO, Marketing Cloud.
Dig deeper: Salesforce piles on the Einstein Copilots
Salesforce’s evolving architecture
It’s hard to deny that Salesforce likes coming up with new names for platforms and products (what happened to Customer 360?) and this can sometimes make the observer wonder if something is brand new, or old but with a brand new name. In particular, what exactly is Einstein 1 and how is it related to Salesforce Data Cloud?
“Data Cloud is built on the Einstein 1 platform,” Jania explained. “The Einstein 1 platform is our entire Salesforce platform and that includes products like Sales Cloud, Service Cloud — that it includes the original idea of Salesforce not just being in the cloud, but being multi-tenancy.”
Data Cloud — not an acquisition, of course — was built natively on that platform. It was the first product built on Hyperforce, Salesforce’s new cloud infrastructure architecture. “Since Data Cloud was on what we now call the Einstein 1 platform from Day One, it has always natively connected to, and been able to read anything in Sales Cloud, Service Cloud [and so on]. On top of that, we can now bring in, not only structured but unstructured data.”
That’s a significant progression from the position, several years ago, when Salesforce had stitched together a platform around various acquisitions (ExactTarget, for example) that didn’t necessarily talk to each other.
“At times, what we would do is have a kind of behind-the-scenes flow where data from one product could be moved into another product,” said Jania, “but in many of those cases the data would then be in both, whereas now the data is in Data Cloud. Tableau will run natively off Data Cloud; Commerce Cloud, Service Cloud, Marketing Cloud — they’re all going to the same operational customer profile.” They’re not copying the data from Data Cloud, Jania confirmed.
Another thing to know is tit’s possible for Salesforce customers to import their own datasets into Data Cloud. “We wanted to create a federated data model,” said Jania. “If you’re using Snowflake, for example, we more or less virtually sit on your data lake. The value we add is that we will look at all your data and help you form these operational customer profiles.”
Let’s learn more about Einstein Copilot
“Copilot means that I have an assistant with me in the tool where I need to be working that contextually knows what I am trying to do and helps me at every step of the process,” Jania said.
For marketers, this might begin with a campaign brief developed with Copilot’s assistance, the identification of an audience based on the brief, and then the development of email or other content. “What’s really cool is the idea of Einstein Studio where our customers will create actions [for Copilot] that we hadn’t even thought about.”
Here’s a key insight (back to nomenclature). We reported on Copilot for markets, Copilot for merchants, Copilot for shoppers. It turns out, however, that there is just one Copilot, Einstein Copilot, and these are use cases. “There’s just one Copilot, we just add these for a little clarity; we’re going to talk about marketing use cases, about shoppers’ use cases. These are actions for the marketing use cases we built out of the box; you can build your own.”
It’s surely going to take a little time for marketers to learn to work easily with Copilot. “There’s always time for adoption,” Jania agreed. “What is directly connected with this is, this is my ninth Connections and this one has the most hands-on training that I’ve seen since 2014 — and a lot of that is getting people using Data Cloud, using these tools rather than just being given a demo.”
What’s new about Einstein Personalization
Salesforce Einstein has been around since 2016 and many of the use cases seem to have involved personalization in various forms. What’s new?
“Einstein Personalization is a real-time decision engine and it’s going to choose next-best-action, next-best-offer. What is new is that it’s a service now that runs natively on top of Data Cloud.” A lot of real-time decision engines need their own set of data that might actually be a subset of data. “Einstein Personalization is going to look holistically at a customer and recommend a next-best-action that could be natively surfaced in Service Cloud, Sales Cloud or Marketing Cloud.”
Finally, trust
One feature of the presentations at Connections was the reassurance that, although public LLMs like ChatGPT could be selected for application to customer data, none of that data would be retained by the LLMs. Is this just a matter of written agreements? No, not just that, said Jania.
“In the Einstein Trust Layer, all of the data, when it connects to an LLM, runs through our gateway. If there was a prompt that had personally identifiable information — a credit card number, an email address — at a mimum, all that is stripped out. The LLMs do not store the output; we store the output for auditing back in Salesforce. Any output that comes back through our gateway is logged in our system; it runs through a toxicity model; and only at the end do we put PII data back into the answer. There are real pieces beyond a handshake that this data is safe.”
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