SEO
What Are They & 7 Actionable Ways to Find Them
Let’s just get this out of the way right now: Seed keywords are not a silver bullet for SEO success.
But they are the foundation of good keyword research.
Spending a bit of time to develop a good seed list often results in better outputs from keyword tools.
In this guide, you will learn the following:
Seed keywords are words or phrases that you can use as the starting point in a keyword research process to unlock more keywords. Think of them as the building blocks of keyword research.
For example, if you sell coffee online, then you can use seed keywords like coffee, espresso, cappuccino, French press, percolator, etc.
When you drop these seed phrases into Ahrefs’ Keywords Explorer and navigate to a keyword ideas report, you’ll generate millions of potential keywords:
After identifying a few relevant seed keywords for your website, you can build on them with modifiers to generate more keyword ideas.
But why is it important to spend time developing a good seed list?
I’m glad you asked.
The long and short of it is this:
The output is often only as good as the input.
This is true when building a keyword list. To get the most from Ahrefs’ Keywords Explorer (and most SEO tools, for that matter), you need to have the best inputs.
Identifying seed keywords may also help you build out your topic clusters by finding new subtopics that you may not be aware of.
Seed keyword examples
Here are the keywords generated if I drop in the seed keyword “mountain bike”:
In the example above, Ahrefs generated 264,608 keywords from my single seed keyword.
Pretty good. But with more seed keywords, could this be better?
Let’s use a slightly more developed seed list this time:
- [mountain bike]
- [mountain biker]
- [mountain biking]
- [MTB]
- [mountain bicycle]
- [hardtail]
And then run the same process again:
This time, Ahrefs generated 519,830 keywords.
That’s (let me just whip out my abacus) an extra 255,222 keywords, and I did so by just inputting a few more seed keywords.
A lot of articles about keyword research skip over seed keywords in favor of the more fun and interesting parts of the process.
These articles may offer some vague methods:
- Think about terms associated with your product/service
- Explore related terms (like long-tail keywords)
- Look at your competitors’ keywords
There is nothing wrong with these methods. In fact, some of these I am going to cover in this guide.
But I think my point still stands: These are vague in terms of going from zero to a spreadsheet full of relevant keyword ideas.
So try these (hopefully less vague) seed keyword research methods instead:
1. Brainstorm variations of your target keyword
Sometimes, the best tool is your brain.
For finding seed keywords, start by creating a list of obvious variations and synonyms of the term you are researching.
This is important because of the way most keyword research tools work.
Here’s an example: If you put “mountain bike” into Ahrefs’ Keywords Explorer, then you’re not going to see keyword ideas for the plural “mountain bikes.”
You should also look for other industry terms during your hunt for seed keywords. While you are already in Keywords Explorer, you should toggle the “Also talk about” tab (under Related terms report):
This can be quite useful for finding other industry terms. It shows keywords that the current top-ranking pages mention.
One more simple method for uncovering industry terms is by going to the Wikipedia page that is most closely related to your topic.
Then simply drop that URL into Ahrefs’ Site Explorer. Start reviewing the keywords the page ranks for and then look for potential seeds. I go into more detail about this method in my article on topic clusters, so go check that out if you want.
Based on these methods, if you sell mountain bikes online, then you’ll likely brainstorm words and phrases such as:
- [mountain bike]
- [mountain biking]
- [MTB]
- [mountain bicycle]
These methods may be a bit harder if you know nothing about the niche. In which case, you may want to check out competitors to get some ideas.
2. Reverse engineer competitors with Site Explorer
If you are less familiar with the industry and need some ideas, look at what keywords related sites are ranking for.
When using Ahrefs’ Site Explorer for uncovering seed terms, I mainly use the Organic keywords report and the Top pages report.
Here’s why:
Looking through the Ahrefs organic keyword data is one of the quickest ways to identify potential seed keywords.
For example, let’s say I want to research the topic “beards.”
So first, you want to pick a site related to that topic. For the purpose of this example, we’ll go with BeardBrand.
If I look up the organic keywords it is ranking for, I see “mutton chops,” which is a term that doesn’t immediately come to mind when I think of keywords associated with beards:
Had I just used the seed “beards” in Ahrefs’ Keywords Explorer, I would have possibly missed this related term.
Keeping on the topic of “beards” and staying inside the Organic keywords report, I’ll also add a filter to remove any keywords that contain the word “beard”:
Why do this? Because I want to see potential keywords I may miss, and this is a good way to speed that up.
There are two great things about using this method:
- Your competitors have done the research for you, speeding up your work.
- When you run out of ideas, you can use Ahrefs to find more competitors and go again.
3. Look at the SERPs (like PAA boxes and related searches)
If you are aiming to rank on Google—and let’s be honest, you are—one of the best places to get more information is on the SERPs.
Simply search one of your seed keyword ideas and poke around the pages for inspiration.
Here are some things to look at:
People Also Ask
People Also Ask (PAA) boxes are a Google SERP feature. They directly answer questions related to a search query. Answers are pulled from webpages, with Google providing a clickable link to the source.
In terms of finding seeds, you can look through PAA boxes for recurring terms:
Related searches
At the bottom of the SERPs, you’ll find Google’s “related searches,” showing other potential search terms related to your initial keyword search:
For some searches, you’ll even get a list of related brands to potentially use as seeds:
Page titles and meta descriptions
Every SEO knows (and should put into practice) to add the targeted keyword into a page title.
So it makes sense that title tags can be a great source of seed keywords:
Don’t neglect to look at meta descriptions too. These can also contain potential seeds:
Of course, if you want to take it a step further, go to those pages and review the subheadings for even more potential seed terms:
PRO TIP
Blog posts generally work better than e‑commerce product pages here, as they are more likely to have multiple keyword-rich subheadings.
4. Review communities and forums
One of the best sources for finding seed keywords relates to your audience. Specifically, you should look at where they hang out online.
Some places to look online:
- Blog comments – Read any questions and comments left on industry-relevant posts
- Social media – Read posts, comments, and polls in niche social media groups
- Niche forums – Read what people are talking about/asking for in forums
- Online communities – Read the questions and comments on online communities, e.g., Quora, Reddit
- Help and support – Read through help requests and support tickets (if you have access) or even documentation and other support documents
I like to focus on Reddit and niche forums (related to the topic I’m researching, obviously).
Below, I’ve detailed more tips for using these to develop a seed list.
Reddit can be a goldmine when doing keyword research. It has a massive (and diverse) audience you can use to determine the population of topics.
For example, search “bbq” in Reddit, and you’ll get a bunch of subreddits to explore:
Pick a subreddit and then drop the URL into Ahrefs’ Site Explorer. Go to the Organic keywords reportto see if there are any worthwhile seeds:
Forums
With the rise of Facebook groups, Slack channels, and other online communities, niche forums aren’t used as much anymore. However, they can still be a good source of keyword data.
Popular forums, even if now outdated, will have a bunch of ranking pages that you can look into.
To find niche-relevant forums, you can use these (very) simple Google search operators:
[intitle:forum keyword] or [inurl:forum keyword]
Using these, I found this hiking forum, which is another potential “seed keyword” source:
Take the URL and run it through Site Explorer. Then head over to the Organic keywords report:
5. List out products/services/brands associated with your keywords
Listing products or services associated with your keyword can be a really simple way to find seeds.
Example: For Apple, this can be “iphone,” “ipad,” “mac,” etc.
To find products and services associated with your keywords, just start Googling and looking for niche-specific sites with related offerings.
However, this method can be easy or hard, depending on how well you know the niche you are working in.
But don’t worry. Here are some simple methods to gather products/services/brands:
- List posts – Google [seed keyword] + “brands” and make a note of brand terms in listicles
- E‑commerce sites – Go to a site like Amazon (or a niche-relevant store) and look at the facets
- Affiliate posts – Google “best” [seed keyword] and see what products affiliates are promoting
Let’s say my search term is [coffee “brands”]. Once I have some brand terms, I can copy those, paste them into Ahrefs’ Keywords Explorer, and go check out the Matching terms report:
In all, 65,177 keywords are generated from 18 seed keywords. Not bad for an additional 30 seconds of work.
6. Look at website navigation menus
Looking at navigation menus works well (especially for e‑commerce sites).
For example, let’s say you are doing keyword research for an online bodybuilding store with a focus on whey protein.
If you check out the menus of large e‑commerce stores in the space, you’ll find potential seeds:
Sometimes, “website navigation” menus may not be helpful for finding seed terms. In these cases, it’s worth checking out top-level category pages.
These often list out the droids seeds you are looking for.
For example, if I’m looking for mountain biking seeds, this category page will be useful:
7. Review terms in Google Search Console
If you are trying to develop a seed keyword list from a site you have access to (aka your site or your clients’), you can and should look at keywords in Google Search Console (GSC).
Here’s how:
- Open up GSC and go to Performance
- Select Queries
- Review the terms you are ranking for
You can also use Ahrefs Webmaster Tools here. While GSC shows the top 1,000 keywords your site is ranking for, AWT shows all known keywords.
Whichever method you choose to use, you should look for keywords you are ranking for but not actively targeting.
Then you can factor these into your keyword research plan or see if there are opportunities to find more terms (using them as seeds).
Think of the methods listed in this article like a buffet menu.
You don’t need to use all these methods every time you do keyword research. You may get enough seed keywords by using just a few methods. Hence, just pick the ones you like and adapt them to your workflow.
Once you’ve settled on the methods you like, it’s time to start pulling them together to create a list.
Putting together a seed keyword list and then using it to do keyword research may look like this:
- Find seed keywords using the methods that work for you/your niche
- Plug seeds into Ahrefs’ Keywords Explorer to generate a list of ideas
- Filter down your keyword opportunities into a usable list
- Evaluate your choices (based on relevance, intent, volume, difficulty, etc)
PRO TIP
Ahrefs’ Keywords Explorer processes seed keywords 10 at a time. So if you have lots of seeds, you may need to batch them together.
Final thoughts
Building a list of seed keywords gives you a solid foundation to build on as you do your keyword research.
Seed keywords aren’t a substitute for doing good keyword research. But they do increase the chances of you finding more usable terms.
Got a question on developing a seed list or keyword research in general? Tweet me.
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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