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How To Use ChatGPT For Keyword Research

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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}?

Screenshot from ChatGPT 4, April 2024

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.

ChatGPT keyword prompt subtopicScreenshot from ChatGPT 4, April 2024

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}chatgpt keyword research prompt for most popular keywords

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}”

chatgpt keyword research prompt longtail keywordsScreenshot ChatGPT 4,April 2024

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!

chatgpt keyword research semantic intentScreenshot ChatGPT 4, April 2024

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.”

chatgpt for question keyword researchScreenshot ChatGPT 4, April 2024

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.

Generating Keyword Ideas using ChatGPT Based on the Alphabet Soup MethodScreenshot from Google autocomplete, April 2024

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”

ChatGPT Alphabet keyword research methodScreenshot from ChatGPT 4, April 2024

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”

ChatGPT and user personasScreenshot from ChatGPT 4, April 2024

You could even go a step further and ask for questions based on those topics that those specific user personas may be searching for:

ChatGPT and keyword research based on personaScreenshot ChatGPT 4, April 2024

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”

question and longtail and user persona using a table for ChatGPT keyword researchScreenshot from ChatGPT 4, April 2024

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].”

Using Chat GPT as a Keyword Categorization ToolScreenshot from ChatGPT, April 2024

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 ClusteringScreenshot from ChatGPT, April 2024

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”

question based keywords keyword research ChatGPTScreenshot ChatGPT 4, April 2024

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”

chatgpt comparison patterns for keyword researchScreenshot ChatGPT 4, April 2024

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”

ChatGPT brand patterns promptScreenshot ChatGPT 4, April 2024

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”

ChatGPT best based keyword researchScreenshot ChatGPT 4, April 2024

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:

ahrefs screenshot for best seoScreenshot from Ahrefs Keyword Explorer, March 2024

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;

translating keywords with ChatGPTScreenshot ChatGPT 4, Apil 2024
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.
verifying the data with ahrefsScreenshot from Ahrefs Keyword Explorer, April 2024

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.

top keyword from ahrefs keyword explorerScreenshot from Ahrefs Keyword Explorer, April 2024

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

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The 6 Biggest SEO Challenges You’ll Face in 2024

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The 6 Biggest SEO Challenges You'll Face in 2024

Seen any stressed-out SEOs recently? If so, that’s because they’ve got their work cut out this year.

Between navigating Google’s never-ending algorithm updates, fighting off competitors, and getting buy-in for projects, there are many significant SEO challenges to consider.

So, which ones should you focus on? Here are the six biggest ones I think you should pay close attention to.

Make no mistake—Google’s algorithm updates can make or break your site.

Core updates, spam updates, helpful content updates—you name it, they can all impact your site’s performance.

As we can see below, the frequency of Google updates has increased in recent years, meaning that the likelihood of being impacted by a Google update has also increased.

How to deal with it:

Recovering from a Google update isn’t easy—and sometimes, websites that get hit by updates may never fully recover.

For the reasons outlined above, most businesses try to stay on the right side of Google and avoid incurring Google’s wrath.

SEOs do this by following Google’s Search Essentials, SEO best practices and avoiding risky black hat SEO tactics. But sadly, even if you think you’ve done this, there is no guarantee that you won’t get hit.

If you suspect a website has been impacted by a Google update, the fastest way to check is to plug the domain into Ahrefs’ Site Explorer.

Ahrefs Site Explorer screenshotAhrefs Site Explorer screenshot

Here’s an example of a website likely affected by Google’s August 2023 Core Update. The traffic drop started on the update’s start date.

Website impacted by Google's August 2023 Core UpdateWebsite impacted by Google's August 2023 Core Update
Hover over the G circles on the X axis to get information about each update.

From this screen, you can see if a drop in traffic correlates with a Google update. If there is a strong correlation, then that update may have hit the site. To remedy it, you will need to understand the update and take action accordingly.

Follow SEO best practices

It’s important your website follows SEO best practices so you can understand why it has been affected and determine what you need to do to fix things.

For example, you might have missed significant technical SEO issues impacting your website’s traffic. To rule this out, it’s worth using Site Audit to run a technical crawl of your website.

Site Audit screenshot, via Ahrefs Site AuditSite Audit screenshot, via Ahrefs Site Audit

Monitor the latest SEO news

In addition to following best practices, it’s a good idea to monitor the latest SEO news. You can do this through various social media channels like X or LinkedIn, but I find the two websites below to be some of the most reliable sources of SEO news.

Even if you escape Google’s updates unscathed, you’ve still got to deal with your competitors vying to steal your top-ranking keywords from right under your nose.

This may sound grim, but it’s a mistake to underestimate them. Most of the time, they’ll be trying to improve their website’s SEO just as much as you are.

And these days, your competitors will:

How to deal with it:

If you want to stay ahead of your competitors, you need to do these two things:

Spy on your competitors and monitor their strategy

Ok, so you don’t have to be James Bond, but by using a tool like Ahrefs Site Explorer and our Google Looker Studio Integration (GLS), you can extract valuable information and keep tabs on your competitors, giving you a competitive advantage in the SERPs.

Using a tool like Site Explorer, you can use the Organic Competitors report to understand the competitor landscape:

Organic competitors screenshot, via Ahrefs' Site ExplorerOrganic competitors screenshot, via Ahrefs' Site Explorer

You can check out their Organic traffic performance across the years:

Year on Year comparison of organic traffic, via Ahrefs' Site ExplorerYear on Year comparison of organic traffic, via Ahrefs' Site Explorer

You can use Calendar to see which days changes in Positions, Pages, Referring domains Backlinks occurred:

Screenshot of Ahrefs' Calendar, via Ahrefs' Site ExplorerScreenshot of Ahrefs' Calendar, via Ahrefs' Site Explorer

You can see their Top pages’ organic traffic and Organic keywords:

Top pages report, via Ahrefs' Site ExplorerTop pages report, via Ahrefs' Site Explorer

And much, much more.

If you want to monitor your most important competitors more closely, you can even create a dashboard using Ahrefs’ GLS integration.

Google Looker Studio integration screenshot,Google Looker Studio integration screenshot,

Acquire links and create content that your competitors can’t recreate easily

Once you’ve done enough spying, it’s time to take action.

Links and content are the bread and butter for many SEOs. But a lot of the time the links that are acquired and the content that is created just aren’t that great.

So, to stand the best chance of maintaining your rankings, you need to work on getting high-quality backlinks and producing high-quality content that your competitors can’t easily recreate.

It’s easy to say this, but what does it mean in practice?

The best way to create this type of content is to create deep content.

At Ahrefs, we do this by running surveys, getting quotes from industry experts, running data studies, creating unique illustrations or diagrams, and generally fine-tuning our content until it is the best it can be.

As if competing against your competitors wasn’t enough, you must also compete against Google for clicks.

As Google not-so-subtly transitions from a search engine to an answer engine, it’s becoming more common for it to supply the answer to search queries—rather than the search results themselves.

The result is that even the once top-performing organic search websites have a lower click-through rate (CTR) because they’re further down the page—or not on the first page.

Whether you like it or not, Google is reducing traffic to your website through two mechanisms:

  • AI overviews – Where Google generates an answer based on sources on the internet
  • Zero-click searches – Where Google shows the answer in the search results

With AI overviews, we can see that the traditional organic search results are not visible.

And with zero-click searches, Google supplies the answer directly in the SERP, so the user doesn’t have to click anything unless they want to know more.

Zero Click searches example, via Google.comZero Click searches example, via Google.com

These features have one thing in common: They are pushing the organic results further down the page.

With AI Overviews, even when links are included, Kevin Indig’s AI overviews traffic impact study suggests that AI overviews will reduce organic clicks.

In this example below, shared by Aleyda, we can see that even when you rank organically in the number one position, it doesn’t mean much if there are Ads and an AI overview with the UX with no links in the AI overview answer; it just perpetuates the zero-clicks model through the AI overview format.

How to deal with it:

You can’t control how Google changes the SERPs, but you can do two things:

Make your website the best it can be

If you focus on the latter, your website will naturally become more authoritative over time. This isn’t a guarantee that your website will be included in the AI overview, but it’s better than doing nothing.

Prevent Google from showing your website in an AI Overview

If you want to be excluded from Google’s AI Overviews, Google says you can add no snippet to prevent your content from appearing in AI Overviews.

nosnippet code explanation screemshot, via Google's documentationnosnippet code explanation screemshot, via Google's documentation

One of the reasons marketers gravitated towards Google in the early days was that it was relatively easy to set up a website and get traffic.

Recently, there have been a few high-profile examples of smaller websites that have been impacted by Google:

Apart from the algorithmic changes, I think there are two reasons for this:

  • Large authoritative websites with bigger budgets and SEO teams are more likely to rank well in today’s Google
  • User-generated content sites like Reddit and Quora have been given huge traffic boosts from Google, which has displaced smaller sites from the SERPs that used to rank for these types of keyword queries

Here’s Reddit’s traffic increase over the last year:

Reddit's organic traffic increase, via Ahrefs Site ExplorerReddit's organic traffic increase, via Ahrefs Site Explorer

And here’s Quora’s traffic increase:

Quora's organic traffic increase, via Ahrefs Site ExplorerQuora's organic traffic increase, via Ahrefs Site Explorer

How to deal with it:

There are three key ways I would deal with this issue in 2024:

Focus on targeting the right keywords using keyword research

Knowing which keywords to target is really important for smaller websites. Sadly, you can’t just write about a big term like “SEO” and expect to rank for it in Google.

Use a tool like Keywords Explorer to do a SERP analysis for each keyword you want to target. Use the effort-to-reward ratio to ensure you are picking the right keyword battles:

Effort to reward ratio illustrationEffort to reward ratio illustration

If you’re concerned about Reddit, Quora, or other UGC sites stealing your clicks, you can also use Keywords Explorer to target SERPs where these websites aren’t present.

To do this:

  • Enter your keyword in the search bar and head to the matching terms report
  • Click on the SERP features drop-down box
  • Select Not on SERP and select Discussions and forums
Example of removing big UGC sites from keyword searches using filters in Ahrefs' Keywords ExplorerExample of removing big UGC sites from keyword searches using filters in Ahrefs' Keywords Explorer

This method can help you find SERPs where these types of sites are not present.

Build more links to become more authoritative

Another approach you could take is to double down on the SEO basics and start building more high-quality backlinks.

Write deep content

Most SEOs are not churning out 500-word blog posts and hoping for the best; equally, the content they’re creating is often not deep or the best it can possibly be.

This is often due to time restraints, budget and inclination. But to be competitive in the AI era, deep content is exactly what you should be creating.

As your website grows, the challenge of maintaining the performance of your content portfolio gets increasingly more difficult.

And what may have been an “absolute banger” of an article in 2020 might not be such a great article now—so you’ll need to update it to keep the clicks rolling in.

So how can you ensure that your content is the best it can be?

How to deal with it:

Here’s the process I use:

Steal this content updating framework

And here’s a practical example of this in action:

Use Page Inspect with Overview to identify pages that need updating

Here’s an example of an older article Michal Pecánek wrote that I recently updated. Using Page Inspect, we can pinpoint the exact date of the update was on May 10, 2024, with no other major in the last year.

Ahrefs Page Inspect screenshot, via Ahrefs' Site ExplorerAhrefs Page Inspect screenshot, via Ahrefs' Site Explorer

According to Ahrefs, this update almost doubled the page’s organic traffic, underlining the value of updating old content. Before the update, the content had reached its lowest performance ever.

Example of a content update and the impact on organic traffic, via Ahrefs' Site ExplorerExample of a content update and the impact on organic traffic, via Ahrefs' Site Explorer

So, what changed to casually double the traffic? Clicking on Page Inspect gives us our answer.

Page Inspect detail screenshot, via Ahrefs' Site ExplorerPage Inspect detail screenshot, via Ahrefs' Site Explorer

I was focused on achieving three aims with this update:

  • Keeping Michal’s original framework for the post intact
  • Making the content as concise and readable as it can be
  • Refreshing the template (the main draw of the post) and explaining how to use the updated version in a beginner-friendly way to match the search intent

Getting buy-in for SEO projects has never been easy compared to other channels. Unfortunately, this meme perfectly describes my early days of agency life.

SEO meme, SEO vs PPC budgetsSEO meme, SEO vs PPC budgets

SEO is not an easy sell—either internally or externally to clients.

With companies hiring fewer SEO roles this year, the appetite for risk seems lower than in previous years.

SEO can also be slow to take impact, meaning getting buy-in for projects is harder than other channels.

How long does SEO take illustrationHow long does SEO take illustration

How to deal with it:

My colleague Despina Gavoyannis has written a fantastic article about how to get SEO buy-in, here is a summary of her top tips:

  • Find key influencers and decision-makers within the organization, starting with cross-functional teams before approaching executives. (And don’t forget the people who’ll actually implement your changes—developers.)
  • Adapt your language and communicate the benefits of SEO initiatives in terms that resonate with different stakeholders’ priorities.
  • Highlight the opportunity costs of not investing in SEO by showing the potential traffic and revenue being missed out on using metrics like Ahrefs’ traffic value.
  • Collaborate cross-functionally by showing how SEO can support other teams’ goals, e.g. helping the editorial team create content that ranks for commercial queries.

And perhaps most important of all: build better business cases and SEO opportunity forecasts.

If you just want to show the short-term trend for a keyword, you can use Keywords Explorer:

Forecasting feature for keywords, via Ahrefs' Keywords ExplorerForecasting feature for keywords, via Ahrefs' Keywords Explorer
The forecasted trend is shown in orange as a dotted line.

If you want to show the Traffic potential of a particular keyword, you can use our Traffic potential metric in SERP overview to gauge this:

Traffic potential example, via Ahrefs' Site ExplorerTraffic potential example, via Ahrefs' Site Explorer

And if you want to go the whole hog, you can create an SEO forecast. You can use a third-party tool to create a forecast, but I recommend you use Patrick Stox’s SEO forecasting guide.

Final thoughts

Of all the SEO challenges mentioned above, the one keeping SEOs awake at night is AI.

It’s swept through our industry like a hurricane, presenting SEOs with many new challenges. The SERPs are changing, competitors are using AI tools, and the bar for creating basic content has been lowered, all thanks to AI.

If you want to stay competitive, you need to arm yourself with the best SEO tools and search data on the market—and for me, that always starts with Ahrefs.

Got questions? Ping me on X.



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Why Now’s The Time To Adopt Schema Markup

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Why Now's The Time To Adopt Schema Markup

There is no better time for organizations to prioritize Schema Markup.

Why is that so, you might ask?

First of all, Schema Markup (aka structured data) is not new.

Google has been awarding sites that implement structured data with rich results. If you haven’t taken advantage of rich results in search, it’s time to gain a higher click-through rate from these visual features in search.

Secondly, now that search is primarily driven by AI, helping search engines understand your content is more important than ever.

Schema Markup allows your organization to clearly articulate what your content means and how it relates to other things on your website.

The final reason to adopt Schema Markup is that, when done correctly, you can build a content knowledge graph, which is a critical enabler in the age of generative AI. Let’s dig in.

Schema Markup For Rich Results

Schema.org has been around since 2011. Back then, Google, Bing, Yahoo, and Yandex worked together to create the standardized Schema.org vocabulary to enable website owners to translate their content to be understood by search engines.

Since then, Google has incentivized websites to implement Schema Markup by awarding rich results to websites with certain types of markup and eligible content.

Websites that achieve these rich results tend to see higher click-through rates from the search engine results page.

In fact, Schema Markup is one of the most well-documented SEO tactics that Google tells you to do. With so many things in SEO that are backward-engineered, this one is straightforward and highly recommended.

You might have delayed implementing Schema Markup due to the lack of applicable rich results for your website. That might have been true at one point, but I’ve been doing Schema Markup since 2013, and the number of rich results available is growing.

Even though Google deprecated how-to rich results and changed the eligibility of FAQ rich results in August 2023, it introduced six new rich results in the months following – the most new rich results introduced in a year!

These rich results include vehicle listing, course info, profile page, discussion forum, organization, vacation rental, and product variants.

There are now 35 rich results that you can use to stand out in search, and they apply to a wide range of industries such as healthcare, finance, and tech.

Here are some widely applicable rich results you should consider utilizing:

  • Breadcrumb.
  • Product.
  • Reviews.
  • JobPosting.
  • Video.
  • Profile Page.
  • Organization.

With so many opportunities to take control of how you appear in search, it’s surprising that more websites haven’t adopted it.

A statistic from Web Data Commons’ October 2023 Extractions Report showed that only 50% of pages had structured data.

Of the pages with JSON-LD markup, these were the top types of entities found.

  • http://schema.org/ListItem (2,341,592,788 Entities)
  • http://schema.org/ImageObject (1,429,942,067 Entities)
  • http://schema.org/Organization (907,701,098 Entities)
  • http://schema.org/BreadcrumbList (817,464,472 Entities)
  • http://schema.org/WebSite (712,198,821 Entities)
  • http://schema.org/WebPage (691,208,528 Entities)
  • http://schema.org/Offer (623,956,111 Entities)
  • http://schema.org/SearchAction (614,892,152 Entities)
  • http://schema.org/Person (582,460,344 Entities)
  • http://schema.org/EntryPoint (502,883,892 Entities)

(Source: October 2023 Web Data Commons Report)

Most of the types on the list are related to the rich results mentioned above.

For example, ListItem and BreadcrumbList are required for the Breadcrumb Rich Result, SearchAction is required for Sitelink Search Box, and Offer is required for the Product Rich Result.

This tells us that most websites are using Schema Markup for rich results.

Even though these Schema.org types can help your site achieve rich results and stand out in search, they don’t necessarily tell search engines what each page is about in detail and help your site be more semantic.

Help AI Search Engines Understand Your Content

Have you ever seen your competitor’s sites using specific Schema.org Types that are not found in Google’s structured data documentation (i.e. MedicalClinic, IndividualPhysician, Service, etc)?

The Schema.org vocabulary has over 800 types and properties to help websites explain what the page is about. However, Google’s structured data features only require a small subset of these properties for websites to be eligible for a rich result.

Many websites that solely implement Schema Markup to get rich results tend to be less descriptive with their Schema Markup.

AI search engines now look at the meaning and intent behind your content to provide users with more relevant search results.

Therefore, organizations that want to stay ahead should use more specific Schema.org types and leverage appropriate properties to help search engines better understand and contextualize their content. You can be descriptive with your content while still achieving rich results.

For example, each type (e.g. Article, Person, etc.) in the Schema.org vocabulary has 40 or more properties to describe the entity.

The properties are there to help you fully describe what the page is about and how it relates to other things on your website and the web. In essence, it’s asking you to describe the entity or topic of the page semantically.

The word ‘semantic’ is about understanding the meaning of language.

Note that the word “understanding” is part of the definition. Funny enough, in October 2023, John Mueller at Google released a Search Update video. In this six-minute video, he leads with an update on Schema Markup.

For the first time, Mueller described Schema Markup as “a code you can add to your web pages, which search engines can use to better understand the content. ”

While Mueller has historically spoken a lot about Schema Markup, he typically talked about it in the context of rich result eligibility. So, why the change?

This shift in thinking about Schema Markup for enhanced search engine understanding makes sense. With AI’s growing role and influence in search, we need to make it easy for search engines to consume and understand the content.

Take Control Of AI By Shaping Your Data With Schema Markup

Now, if being understood and standing out in search is not a good enough reason to get started, then doing it to help your enterprise take control of your content and prepare it for artificial intelligence is.

In February 2024, Gartner published a report on “30 Emerging Technologies That Will Guide Your Business Decisions,”  highlighting generative AI and knowledge graphs as critical emerging technologies companies should invest in within the next 0-1 years.

Knowledge graphs are collections of relationships between entities defined using a standardized vocabulary that enables new knowledge to be gained by way of inferencing.

Good news! When you implement Schema Markup to define and connect the entities on your site, you are creating a content knowledge graph for your organization.

Thus, your organization gains a critical enabler for generative AI adoption while reaping its SEO benefits.

Learn more about building content knowledge graphs in my article, Extending Your Schema Markup From Rich Results to Knowledge Graphs.

We can also look at other experts in the knowledge graph field to understand the urgency of implementing Schema Markup.

In his LinkedIn post, Tony Seale, Knowledge Graph Architect at UBS in the UK, said,

“AI does not need to happen to you; organizations can shape AI by shaping their data.

It is a choice: We can allow all data to be absorbed into huge ‘data gravity wells’ or we can create a network of networks, each of us connecting and consolidating our data.”

The “networks of networks” Seale refers to is the concept of knowledge graphs – the same knowledge graph that can be built from your web data using semantic Schema Markup.”

The AI revolution has only just begun, and there is no better time than now to shape your data, starting with your web content through the implementation of Schema Markup.

Use Schema Markup As The Catalyst For AI

In today’s digital landscape, organizations must invest in new technology to keep pace with the evolution of AI and search.

Whether your goal is to stand out on the SERP or ensure your content is understood as intended by Google and other search engines, the time to implement Schema Markup is now.

With Schema Markup, SEO pros can become heroes, enabling generative AI adoption through content knowledge graphs while delivering tangible benefits, such as increased click-through rates and improved search visibility.

More resources: 


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Google Quietly Ends Covid-Era Rich Results

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Google Quietly Ends Covid-Era Rich Results

Google removed the Covid-era structured data associated with the Home Activities rich results that allowed online events to be surfaced in search since August 2020, publishing a mention of the removal in the search documentation changelog.

Home Activities Rich Results

The structured data for the Home Activities rich results allowed providers of online livestreams, pre-recorded events and online events to be findable in Google Search.

The original documentation has been completely removed from the Google Search Central webpages and now redirects to a changelog notation that explains that the Home Activity rich results is no longer available for display.

The original purpose was to allow people to discover things to do from home while in quarantine, particularly online classes and events. Google’s rich results surfaced details of how to watch, description of the activities and registration information.

Providers of online events were required to use Event or Video structured data. Publishers and businesses who have this kind of structured data should be aware that this kind of rich result is no longer surfaced but it’s not necessary to remove the structured data if it’s a burden, it’s not going to hurt anything to publish structured data that isn’t used for rich results.

The changelog for Google’s official documentation explains:

“Removing home activity documentation
What: Removed documentation on home activity structured data.

Why: The home activity feature no longer appears in Google Search results.”

Read more about Google’s Home Activities rich results:

Google Announces Home Activities Rich Results

Read the Wayback Machine’s archive of Google’s original announcement from 2020:

Home activities

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