SEO
7 Tips For Building SEO + UX-Minded Navigation
As digital marketers, it can feel like we’re chasing metrics that continuously move.
While arduous to some, it’s a passion for others. Either way, we’re always looking for the next genre of optimization that can get us closer to our goals.
While chasing bright and shiny marketing trends, obsessing over coveted SEO keyword rankings, creating content, or modifying paid search ads for better CTR, we need to stop and slow down to “see the forest for the trees.”
The core experience of your website that is shared between a user and a search engine is not solely your content; it is your main navigation.
Your main navigation is a vehicle to help a user get to your content and for a search engine to understand the hierarchy of your pages.
More importantly, it helps a user and a search engine understand what is important to your brand and what should be important to them. This is an elemental “salesperson” that is often overlooked.
So often, we traverse websites with way too much information presented in the main navigation which causes confusion.
On the other hand, as many sites have simplified for mobile-first consideration, the main navigation doesn’t provide enough guidance.
As we move forward, you will see several different considerations that should be made in optimizing the website’s main navigation.
Also, it bears mentioning that this process is not a one-person job. While data will tell us key factors in what users want, it takes the participation of multiple parties to exact the best navigational decisions. These include:
- Leadership that can detail the future direction of the organization and what will become important in the future.
- Sales support that can detail what prospects and customers continually ask for.
- SEO providers can detail what is already heavily linked to on the website and what is not.
These seven tips can help you understand how users move through your website, where your navigation is insufficient, and how to improve it.
1. Analyze Google Analytics User Flow
Our first stop in the pursuit of the perfect main navigation is a review of how our current human audience is using our top link structure.
We want to make search engines happy, as well as show our content preference, but user experience trumps all of that.
Within your Google Analytics profile, navigate to Users Flow within the Audience segment. Initially, we want to see what the common user pathways are on the site.
Do you see defined movement behavior?
It is important here to review where someone landing on the homepage will do next as well as those that land on an internal page.
Are there any commonalities in second-page visit preference?
Next, as we have initially reviewed the Users Flow from an All Users view, create an advanced segment to view those visits that resulted in a conversion or transaction.
Again, do you see defined movement behavior or similar to the common user?
Not to entice “rabbit-holing” in this style of review, but you have the ability to utilize other predefined advanced segments, as well as myriad options to choose from in creating custom advanced segments. You can view the journeys of:
- New versus returning users.
- Specific geographies and languages.
- By referred traffic channels.
- Even those that visited a specific section of the website during their visit.
2. Investigate Internal Site Search
We’ve investigated which navigational links web users traverse through to find content that they are interested in.
Let’s take a moment though to review the content they expect to see but are not finding.
Content that is not readily available or understood in the main navigation. You can do this by analyzing Site Search in Google Analytics.
Take a look at specific search terms the users type in, whether they refine their searches, and their exit rates.
This helps you understand what links and content they expect from your site, and what content they didn’t find in your main navigation.
Digging deeper, you can also move past overall site search results to analyze data by the user’s respective starting pages. This can provide insight into additional navigational needs that may persist outside of the main navigation.
3. Visualize User Interaction With A Heat Map
In a previous analysis, we took more of a data-driven/numbers approach to understanding user behavior with main navigation.
Now, we step away from such granular behavior data to gain a visual feel of how users react to the main navigation.
To perform this exercise you will need a heat mapping data provider (I prefer Lucky Orange).
Pay close attention not only to the main navigation click movement of the homepage users but also to internal page user actions.
Most importantly, it is critical to review how behaviors change between desktop and mobile users.
Desktop and mobile examples:
You may notice in your application that desktop and mobile behavior may look very different as the example shows.
The presentations between desktop and mobile are often vastly different.
In a compressed display, you have to consider how easy or expandable the main navigation may be. Small font links do not get links.
It is worth mentioning that in your next website redesign, consider desktop navigation mimicking the above example.
This experience allows your desktop users a similar presentation to mobile users, beginning their website journey from only a few foundational points. This is becoming a common design presentation of simplicity.
You’ve done your due diligence in understanding user behavior. This is beginning to show important insight on what links or main navigational elements we must keep.
4. Teach Users What To Expect With Anchor Text
A phrase I have continuously told myself for two decades is to “get out of your head and into your customers.”
For example, your prospective customer doesn’t know what the “XL Custom Suite” is for “Preferred Users.” They are simply trying to understand what kind of services you offer.
Before you capitalize on promoting your branded offering in your main navigation, teach those entering your website what industry, product family, and product genre you serve.
What you should name your main navigational anchors relies heavily on a few areas.
First, enlist your sales, product, and service teams to understand how your customers and prospects refer to product or service offerings. Take on your customers’ mindset and your navigation will be all the better.
Second, keyword research means the world in this overall exercise. You can use Google Ads Keyword Planner or a third-party tool to research keyword demand and volume.
This research can tell you how users that reach your website search for and name your products and services. This information is vital when updating your main navigation anchor text.
Within the SEO realm, this keyword research also helps search engines to understand what product or service sectors you serve.
5. Find Your Top Linked Pages
To this point, we have been focused on user-specific data but let’s now put our attention on SEO.
Those well versed in SEO know that the more you link to content internally, the more it shows precedence on your website. This does not mean that you should spam links throughout your site.
But it’s important to link your pages to one another in the main navigation, footer navigation, supporting internal navigation, as well as cross-linking done in resource content.
However, today we are here to make sure important content is placed in the main navigation.
In Google Search Console within the Links section, specifically Internal Links, you will see Google’s report on the frequency of how you link to your internal site pages.
You obviously can see what internal pages you are linking to in your main navigation, but this report gives you a feel for instances when you may already be linking heavily in other supporting navigation instances.
Remember, we do not want to go too heavy on specific website internal linking but you may find out where you are greatly misrepresented.
If you see an abundance of internal links for pages that you deem less important, you want to investigate why and remove some of the links. Or, move them from primary to secondary navigation.
6. Mind Your SEO Basics
While anchor text does cover the on-page keyword relevancy needs of SEO, the primary main navigation SEO must-haves are rooted in technical considerations.
Think of this as the factor that surrounds the “efficiency of the crawl.”
Google and Bing have made great strides over the years in crawling and indexing JavaScript, but I still would steer clear of this style of navigation.
If you are accidentally robots.txt-excluding JavaScript on-site or not using preferred deployment such as Progressive Enhancement, you run the risk of possessing a main navigation that is difficult for a search engine to crawl.
The best practice is to ensure that your main navigation is constructed in an HTML format or what is commonly referred to as “a href” referenced links.
There is one mistake in the main navigation that occurs all too often.
Over the course of the life of a website, you redirect URLs. It’s easy to forget to update the main navigation to link to current page URLs. So, the main navigation link goes to a redirect.
Forcing a crawling search engine to endure a redirect will slow down crawl speed and give a less than efficient crawl for search engines.
To assess this potential issue in your main navigation’s current state, use the Chrome extension Check My Links. This tool will highlight any redirecting (and broken) links that may exist in your main navigation.
As a best practice, this exercise should be executed each time the website is redesigned, both in redesign coding, Q/A, and post deployment.
7. Check What’s Ranking And What’s Not
By reviewing all of your top organic search rankings, you can get a feel for where you likely have sectional or hierarchical gaps.
Linking more so to these internal sections can convey importance to a search engine.
Example:
You may find that your homepage ranks well as well as product sub-category pages, but not the product parent category pages.
This can be caused by drop-down navigation which does a good job of linking to deeper site content, but the parent category is not linked to at all.
This causes a massive disproportion in the amount of linking and perceived importance at deeper site levels vs. parent level category pages.
A good first step is to create keyword buckets based on what composes your main navigation as well as your entire family of offerings.
Assess keyword research just as we did above but also take a look at competitor rankings to understand gaps that may exist.
To Link Or Not To Link
The steps that I have detailed are ultimately a deep dive into understanding what topics your audience has an interest in, what topics they want or expect us to have, as well as what content we need to portray importance to search engines.
As you hopefully take this main navigation audit to heart, pay attention in future months to improvements not only in conversion metrics and SEO rankings but in website user behavior metrics. These include bounce rate, time-on-site, and pages viewed per session.
Ultimately, these touchpoints will be the end-user and search engine’s way of thanking you for your hard work.
More Resources:
Featured Image: wee dezign/Shutterstock
SEO
56 Google Search Statistics to Bookmark for 2024
If you’re curious about the state of Google search in 2024, look no further.
Each year we pick, vet, and categorize a list of up-to-date statistics to give you insights from trusted sources on Google search trends.
Check out more resources on how Google works:
Learn more
SEO
How To Use ChatGPT For Keyword Research
Anyone not using ChatGPT for keyword research is missing a trick.
You can save time and understand an entire topic in seconds instead of hours.
In this article, I outline my most effective ChatGPT prompts for keyword research and teach you how I put them together so that you, too, can take, edit, and enhance them even further.
But before we jump into the prompts, I want to emphasize that you shouldn’t replace keyword research tools or disregard traditional keyword research methods.
ChatGPT can make mistakes. It can even create new keywords if you give it the right prompt. For example, I asked it to provide me with a unique keyword for the topic “SEO” that had never been searched before.
“Interstellar Internet SEO: Optimizing content for the theoretical concept of an interstellar internet, considering the challenges of space-time and interplanetary communication delays.”
Although I want to jump into my LinkedIn profile and update my title to “Interstellar Internet SEO Consultant,” unfortunately, no one has searched that (and they probably never will)!
You must not blindly rely on the data you get back from ChatGPT.
What you can rely on ChatGPT for is the topic ideation stage of keyword research and inspiration.
ChatGPT is a large language model trained with massive amounts of data to accurately predict what word will come next in a sentence. However, it does not know how to do keyword research yet.
Instead, think of ChatGPT as having an expert on any topic armed with the information if you ask it the right question.
In this guide, that is exactly what I aim to teach you how to do – the most essential prompts you need to know when performing topical keyword research.
Best ChatGPT Keyword Research Prompts
The following ChatGPT keyword research prompts can be used on any niche, even a topic to which you are brand new.
For this demonstration, let’s use the topic of “SEO” to demonstrate these prompts.
Generating Keyword Ideas Based On A Topic
What Are The {X} Most Popular Sub-topics Related To {Topic}?
The first prompt is to give you an idea of the niche.
As shown above, ChatGPT did a great job understanding and breaking down SEO into three pillars: on-page, off-page & technical.
The key to the following prompt is to take one of the topics ChatGPT has given and query the sub-topics.
What Are The {X} Most Popular Sub-topics Related To {Sub-topic}?
For this example, let’s query, “What are the most popular sub-topics related to keyword research?”
Having done keyword research for over 10 years, I would expect it to output information related to keyword research metrics, the types of keywords, and intent.
Let’s see.
Again, right on the money.
To get the keywords you want without having ChatGPT describe each answer, use the prompt “list without description.”
Here is an example of that.
List Without Description The Top {X} Most Popular Keywords For The Topic Of {X}
You can even branch these keywords out further into their long-tail.
Example prompt:
List Without Description The Top {X} Most Popular Long-tail Keywords For The Topic “{X}”
List Without Description The Top Semantically Related Keywords And Entities For The Topic {X}
You can even ask ChatGPT what any topic’s semantically related keywords and entities are!
Tip: The Onion Method Of Prompting ChatGPT
When you are happy with a series of prompts, add them all to one prompt. For example, so far in this article, we have asked ChatGPT the following:
- What are the four most popular sub-topics related to SEO?
- What are the four most popular sub-topics related to keyword research
- List without description the top five most popular keywords for “keyword intent”?
- List without description the top five most popular long-tail keywords for the topic “keyword intent types”?
- List without description the top semantically related keywords and entities for the topic “types of keyword intent in SEO.”
Combine all five into one prompt by telling ChatGPT to perform a series of steps. Example:
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, Step 4, and Step 5”
Example:
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, Step 4 and Step 5. Step 1 – Generate an answer for the 3 most popular sub-topics related to {Topic}?. Step 2 – Generate 3 of the most popular sub-topics related to each answer. Step 3 – Take those answers and list without description their top 3 most popular keywords. Step 4 – For the answers given of their most popular keywords, provide 3 long-tail keywords. Step 5 – for each long-tail keyword offered in the response, a list without descriptions 3 of their top semantically related keywords and entities.”
Generating Keyword Ideas Based On A Question
Taking the steps approach from above, we can get ChatGPT to help streamline getting keyword ideas based on a question. For example, let’s ask, “What is SEO?”
“Perform the following steps in a consecutive order Step 1, Step 2, Step 3, and Step 4. Step 1 Generate 10 questions about “{Question}”?. Step 2 – Generate 5 more questions about “{Question}” that do not repeat the above. Step 3 – Generate 5 more questions about “{Question}” that do not repeat the above. Step 4 – Based on the above Steps 1,2,3 suggest a final list of questions avoiding duplicates or semantically similar questions.”
Generating Keyword Ideas Using ChatGPT Based On The Alphabet Soup Method
One of my favorite methods, manually, without even using a keyword research tool, is to generate keyword research ideas from Google autocomplete, going from A to Z.
You can also do this using ChatGPT.
Example prompt:
“give me popular keywords that includes the keyword “SEO”, and the next letter of the word starts with a”
Tip: Using the onion prompting method above, we can combine all this in one prompt.
“Give me five popular keywords that include “SEO” in the word, and the following letter starts with a. Once the answer has been done, move on to giving five more popular keywords that include “SEO” for each letter of the alphabet b to z.”
Generating Keyword Ideas Based On User Personas
When it comes to keyword research, understanding user personas is essential for understanding your target audience and keeping your keyword research focused and targeted. ChatGPT may help you get an initial understanding of customer personas.
Example prompt:
“For the topic of “{Topic}” list 10 keywords each for the different types of user personas”
You could even go a step further and ask for questions based on those topics that those specific user personas may be searching for:
As well as get the keywords to target based on those questions:
“For each question listed above for each persona, list the keywords, as well as the long-tail keywords to target, and put them in a table”
Generating Keyword Ideas Using ChatGPT Based On Searcher Intent And User Personas
Understanding the keywords your target persona may be searching is the first step to effective keyword research. The next step is to understand the search intent behind those keywords and which content format may work best.
For example, a business owner who is new to SEO or has just heard about it may be searching for “what is SEO.”
However, if they are further down the funnel and in the navigational stage, they may search for “top SEO firms.”
You can query ChatGPT to inspire you here based on any topic and your target user persona.
SEO Example:
“For the topic of “{Topic}” list 10 keywords each for the different types of searcher intent that a {Target Persona} would be searching for”
ChatGPT For Keyword Research Admin
Here is how you can best use ChatGPT for keyword research admin tasks.
Using ChatGPT As A Keyword Categorization Tool
One of the use cases for using ChatGPT is for keyword categorization.
In the past, I would have had to devise spreadsheet formulas to categorize keywords or even spend hours filtering and manually categorizing keywords.
ChatGPT can be a great companion for running a short version of this for you.
Let’s say you have done keyword research in a keyword research tool, have a list of keywords, and want to categorize them.
You could use the following prompt:
“Filter the below list of keywords into categories, target persona, searcher intent, search volume and add information to a six-column table: List of keywords – [LIST OF KEYWORDS], Keyword Search Volume [SEARCH VOLUMES] and Keyword Difficulties [KEYWORD DIFFICUTIES].”
Tip: Add keyword metrics from the keyword research tools, as using the search volumes that a ChatGPT prompt may give you will be wildly inaccurate at best.
Using ChatGPT For Keyword Clustering
Another of ChatGPT’s use cases for keyword research is to help you cluster. Many keywords have the same intent, and by grouping related keywords, you may find that one piece of content can often target multiple keywords at once.
However, be careful not to rely only on LLM data for clustering. What ChatGPT may cluster as a similar keyword, the SERP or the user may not agree with. But it is a good starting point.
The big downside of using ChatGPT for keyword clustering is actually the amount of keyword data you can cluster based on the memory limits.
So, you may find a keyword clustering tool or script that is better for large keyword clustering tasks. But for small amounts of keywords, ChatGPT is actually quite good.
A great use small keyword clustering use case using ChatGPT is for grouping People Also Ask (PAA) questions.
Use the following prompt to group keywords based on their semantic relationships. For example:
“Organize the following keywords into groups based on their semantic relationships, and give a short name to each group: [LIST OF PAA], create a two-column table where each keyword sits on its own row.
Using Chat GPT For Keyword Expansion By Patterns
One of my favorite methods of doing keyword research is pattern spotting.
Most seed keywords have a variable that can expand your target keywords.
Here are a few examples of patterns:
1. Question Patterns
(who, what, where, why, how, are, can, do, does, will)
“Generate [X] keywords for the topic “[Topic]” that contain any or all of the following “who, what, where, why, how, are, can, do, does, will”
2. Comparison Patterns
Example:
“Generate 50 keywords for the topic “{Topic}” that contain any or all of the following “for, vs, alternative, best, top, review”
3. Brand Patterns
Another one of my favorite modifiers is a keyword by brand.
We are probably all familiar with the most popular SEO brands; however, if you aren’t, you could ask your AI friend to do the heavy lifting.
Example prompt:
“For the top {Topic} brands what are the top “vs” keywords”
4. Search Intent Patterns
One of the most common search intent patterns is “best.”
When someone is searching for a “best {topic}” keyword, they are generally searching for a comprehensive list or guide that highlights the top options, products, or services within that specific topic, along with their features, benefits, and potential drawbacks, to make an informed decision.
Example:
“For the topic of “[Topic]” what are the 20 top keywords that include “best”
Again, this guide to keyword research using ChatGPT has emphasized the ease of generating keyword research ideas by utilizing ChatGPT throughout the process.
Keyword Research Using ChatGPT Vs. Keyword Research Tools
Free Vs. Paid Keyword Research Tools
Like keyword research tools, ChatGPT has free and paid options.
However, one of the most significant drawbacks of using ChatGPT for keyword research alone is the absence of SEO metrics to help you make smarter decisions.
To improve accuracy, you could take the results it gives you and verify them with your classic keyword research tool – or vice versa, as shown above, uploading accurate data into the tool and then prompting.
However, you must consider how long it takes to type and fine-tune your prompt to get your desired data versus using the filters within popular keyword research tools.
For example, if we use a popular keyword research tool using filters, you could have all of the “best” queries with all of their SEO metrics:
And unlike ChatGPT, generally, there is no token limit; you can extract several hundred, if not thousands, of keywords at a time.
As I have mentioned multiple times throughout this piece, you cannot blindly trust the data or SEO metrics it may attempt to provide you with.
The key is to validate the keyword research with a keyword research tool.
ChatGPT For International SEO Keyword Research
ChatGPT can be a terrific multilingual keyword research assistant.
For example, if you wanted to research keywords in a foreign language such as French. You could ask ChatGPT to translate your English keywords;
- The key is to take the data above and paste it into a popular keyword research tool to verify.
- As you can see below, many of the keyword translations for the English keywords do not have any search volume for direct translations in French.
But don’t worry, there is a workaround: If you have access to a competitor keyword research tool, you can see what webpage is ranking for that query – and then identify the top keyword for that page based on the ChatGPT translated keywords that do have search volume.
-
Or, if you don’t have access to a paid keyword research tool, you could always take the top-performing result, extract the page copy, and then ask ChatGPT what the primary keyword for the page is.
Key Takeaway
ChatGPT can be an expert on any topic and an invaluable keyword research tool. However, it is another tool to add to your toolbox when doing keyword research; it does not replace traditional keyword research tools.
As shown throughout this tutorial, from making up keywords at the beginning to inaccuracies around data and translations, ChatGPT can make mistakes when used for keyword research.
You cannot blindly trust the data you get back from ChatGPT.
However, it can offer a shortcut to understanding any topic for which you need to do keyword research and, as a result, save you countless hours.
But the key is how you prompt.
The prompts I shared with you above will help you understand a topic in minutes instead of hours and allow you to better seed keywords using keyword research tools.
It can even replace mundane keyword clustering tasks that you used to do with formulas in spreadsheets or generate ideas based on keywords you give it.
Paired with traditional keyword research tools, ChatGPT for keyword research can be a powerful tool in your arsenal.
More resources:
Featured Image: Tatiana Shepeleva/Shutterstock
SEO
OpenAI Expected to Integrate Real-Time Data In ChatGPT
Sam Altman, CEO of OpenAI, dispelled rumors that a new search engine would be announced on Monday, May 13. Recent deals have raised the expectation that OpenAI will announce the integration of real-time content from English, Spanish, and French publications into ChatGPT, complete with links to the original sources.
OpenAI Search Is Not Happening
Many competing search engines have tried and failed to challenge Google as the leading search engine. A new wave of hybrid generative AI search engines is currently trying to knock Google from the top spot with arguably very little success.
Sam Altman is on record saying that creating a search engine to compete against Google is not a viable approach. He suggested that technological disruption was the way to replace Google by changing the search paradigm altogether. The speculation that Altman is going to announce a me-too search engine on Monday never made sense given his recent history of dismissing the concept as a non-starter.
So perhaps it’s not a surprise that he recently ended the speculation by explicitly saying that he will not be announcing a search engine on Monday.
He tweeted:
“not gpt-5, not a search engine, but we’ve been hard at work on some new stuff we think people will love! feels like magic to me.”
“New Stuff” May Be Iterative Improvement
It’s quite likely that what’s going to be announced is iterative which means it improves ChatGPT but not replaces it. This fits into how Altman recently expressed his approach with ChatGPT.
He remarked:
“And it does kind of suck to ship a product that you’re embarrassed about, but it’s much better than the alternative. And in this case in particular, where I think we really owe it to society to deploy iteratively.
There could totally be things in the future that would change where we think iterative deployment isn’t such a good strategy, but it does feel like the current best approach that we have and I think we’ve gained a lot from from doing this and… hopefully the larger world has gained something too.”
Improving ChatGPT iteratively is Sam Altman’s preference and recent clues point to what those changes may be.
Recent Deals Contain Clues
OpenAI has been making deals with news media and User Generated Content publishers since December 2023. Mainstream media has reported these deals as being about licensing content for training large language models. But they overlooked a a key detail that we reported on last month which is that these deals give OpenAI access to real-time information that they stated will be used to give attribution to that real-time data in the form of links.
That means that ChatGPT users will gain the ability to access real-time news and to use that information creatively within ChatGPT.
Dotdash Meredith Deal
Dotdash Meredith (DDM) is the publisher of big brand publications such as Better Homes & Gardens, FOOD & WINE, InStyle, Investopedia, and People magazine. The deal that was announced goes way beyond using the content as training data. The deal is explicitly about surfacing the Dotdash Meredith content itself in ChatGPT.
The announcement stated:
“As part of the agreement, OpenAI will display content and links attributed to DDM in relevant ChatGPT responses. …This deal is a testament to the great work OpenAI is doing on both fronts to partner with creators and publishers and ensure a healthy Internet for the future.
Over 200 million Americans each month trust our content to help them make decisions, solve problems, find inspiration, and live fuller lives. This partnership delivers the best, most relevant content right to the heart of ChatGPT.”
A statement from OpenAI gives credibility to the speculation that OpenAI intends to directly show licensed third-party content as part of ChatGPT answers.
OpenAI explained:
“We’re thrilled to partner with Dotdash Meredith to bring its trusted brands to ChatGPT and to explore new approaches in advancing the publishing and marketing industries.”
Something that DDM also gets out of this deal is that OpenAI will enhance DDM’s in-house ad targeting in order show more tightly focused contextual advertising.
Le Monde And Prisa Media Deals
In March 2024 OpenAI announced a deal with two global media companies, Le Monde and Prisa Media. Le Monde is a French news publication and Prisa Media is a Spanish language multimedia company. The interesting aspects of these two deals is that it gives OpenAI access to real-time data in French and Spanish.
Prisa Media is a global Spanish language media company based in Madrid, Spain that is comprised of magazines, newspapers, podcasts, radio stations, and television networks. It’s reach extends from Spain to America. American media companies include publications in the United States, Argentina, Bolivia, Chile, Colombia, Costa Rica, Ecuador, Mexico, and Panama. That is a massive amount of real-time information in addition to a massive audience of millions.
OpenAI explicitly announced that the purpose of this deal was to bring this content directly to ChatGPT users.
The announcement explained:
“We are continually making improvements to ChatGPT and are supporting the essential role of the news industry in delivering real-time, authoritative information to users. …Our partnerships will enable ChatGPT users to engage with Le Monde and Prisa Media’s high-quality content on recent events in ChatGPT, and their content will also contribute to the training of our models.”
That deal is not just about training data. It’s about bringing current events data to ChatGPT users.
The announcement elaborated in more detail:
“…our goal is to enable ChatGPT users around the world to connect with the news in new ways that are interactive and insightful.”
As noted in our April 30th article that revealed that OpenAI will show links in ChatGPT, OpenAI intends to show third party content with links to that content.
OpenAI commented on the purpose of the Le Monde and Prisa Media partnership:
“Over the coming months, ChatGPT users will be able to interact with relevant news content from these publishers through select summaries with attribution and enhanced links to the original articles, giving users the ability to access additional information or related articles from their news sites.”
There are additional deals with other groups like The Financial Times which also stress that this deal will result in a new ChatGPT feature that will allow users to interact with real-time news and current events .
OpenAI’s Monday May 13 Announcement
There are many clues that the announcement on Monday will be that ChatGPT users will gain the ability to interact with content about current events. This fits into the terms of recent deals with news media organizations. There may be other features announced as well but this part is something that there are many clues pointing to.
Watch Altman’s interview at Stanford University
Featured Image by Shutterstock/photosince
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