SEO is changing. We’re entering a new era of search — the AI age — and with it comes generative engine optimization (GEO), the practice of optimizing content for AI-driven engines such as ChatGPT or Perplexity.
If we want our content to reach the right people, we need to adapt. There’s no need to throw out the SEO principles you’ve spent decades learning. Much of GEO is an extension of these techniques — and it’s not as scary as it sounds.
Let’s take a look at what we know about GEO so far.
Table of Contents
- What is generative engine optimization?
- GEO vs. SEO
- Why is GEO important?
- How does generative engine optimization work?
- How to Do Generative Engine Optimization
- Tips for Navigating the Generative SEO Landscape
- Generative Engine Optimization FAQ
The good news for SEO is that generative engines pull information directly from web content (as well as other sources) to deliver responses to user queries. They use large language models (LLMs) to make sense of the information scraped and provide coherent, relevant answers.
ChatGPT, Perplexity AI, and Google AI Search are all examples of generative engines.
Generative engines work by:
- Interpreting a user’s query.
- Leveraging personal data it may have on the user, such as preferences or conversation history.
- Searching to find relevant answers to the query
- Synthesizing information from these documents into a straightforward response
If you’re new to generative search, start by using it yourself. Try HubSpot’s guide to using ChatGPT for work, which has over 100 prompts.
GEO vs. SEO
GEO and SEO are similar in many ways, as both find relevant, credible content to answer user inquiries. But they also have three key differences. Let’s explore the similarities and differences below.
GEO and SEO Similarities
These four similarities should bring optimism to SEOs because they suggest the good work done so far is transferable.
Designed to help users and provide helpful information.
Whether you’re searching on Google, Bing, ChatGPT, Perplexity, or something else entirely, what’s essential is that you can access the information you need in the easiest and shortest time possible.
One reason Google is so successful is that it has mastered a complex (and ever-changing) algorithm that sorts through content and delivers the best possible result to the person searching. Results meet search intent, and users get what they want.
Why this matters for GEO: If you’re dedicated to providing the best possible content, you have a good chance of gaining visibility in generative AI search engines. These tools need to source the best content to keep users returning.
High-quality content is your gateway to visibility.
High-quality content, in terms of landing pages, informational pages, well-thought-out service pages, etc., gets you visibility in generative search engines. As mentioned above, generative engines, like traditional search engines, pull information directly from web content.
Why this matters for GEO: If you’re achieving page one ranks in SEO, you’re likely producing high-quality content. This content will likely perform well in generative search engines, too.
This leads perfectly to my next point: E-E-A-T signals matter for SEO and GEO.
E-E-A-T signals are important in SEO and GEO.
To demonstrate how E-E-A-T is important for GEO and SEO, let me lead with an example.
If you search “CRM” in Google, you’ll see that HubSpot’s is ranked page one, rank three in the U.S.
I searched ChatGPT to see if HubSpot is recommended as a CRM. It is. HubSpot is the top recommendation in ChatGPT.
Why this matters for GEO: Ranking at the top of Google for any keyword doesn’t come easy. You need to meet a multitude of ranking factors and build E-E-A-T across your site.
Keywords and search terms still matter.
Although people search differently in traditional search engines versus generative search engines, there are similarities; users are inputting keywords and search terms.
While the input into generative search engines uses more natural language and conversation, there are still words and phrases that contextualize the search.
Why this matters for GEO: Understanding how and what people search, and then meeting search intent is still crucial.
GEO and SEO Differences
Now we understand some of the similarities, let’s look at how GEO differs from SEO.
Focus
GEO focuses on making content discoverable to AI, while SEO is about improving SERP rank.
While SEO is generally related to Google and Bing, there are lots of generative engines, so it’ll be interesting to see if different engines use different qualities to determine their sources.
Why this matters for GEO: There are nuances in how GEO and SEO work, and while focusing on GEO is becoming increasingly important, it’s not worth dropping your SEO efforts (yet, and maybe not ever). At the moment, people still use Google for the vast majority of searches. According to Edd Dawson, Google has five billion users versus ChatGPTs 200 million users.
Emphasis
The primary techniques for SEO emphasize things like backlinks and keywords, while GEO techniques emphasize structure.
An AI bot’s job is easier when it can pull clear, concise snippets that are easily synthesized, so it makes sense why structure would be an emphasis.
Chris Long, VP of marketing at Go Fish Digital, has done some testing on visibility in GEO, and his testing suggested that generative search engines do pull clear snippets. Long found success using bullet points.
In a LinkedIn post, he said, “In the past 6 months, we‘ve been doing a lot of testing around optimizing our brand for generative engine optimization. We’ve noticed how AI-driven search tends to pull in content that's extremely structured via bulleted lists, structured headings, and general listicle-style articles.”
Why this matters for GEO: If you’re dedicated to more visibility in generative AI search engines, it could be worth exploring page structure and seeing if it makes a difference.
Top tip: If you want to benchmark your current visibility in generative search engines, you could use HubSpot’s AI Search Grader. It shows you:
- Your brand's visibility and presence in AI.
- Strengths and weaknesses.
- Share of voice.
- And more.
The video below demonstrates how it works.
Use the grader to see where you are now and if anything changes once you GEO your pages.
Output
The key difference is the output of the engines.
GEO optimizes content for AI engines, which produce a summary as the output.
SEO, on the other hand, optimizes content for traditional search engines, which produce a ranked list of sources as the output.
How is GEO impacting SEO?
SEO experts worldwide have cited generative AI as the number one disruptor to SEO. So it’s worth understanding what experts suspect the impact will be.
I spoke with SEO expert Nick Baird to hear his thoughts on GEO and how it impacts SEO and marketing.
“Local SEO remains largely unaffected. When searching for a plumber or a dentist, they still need results tied to maps, reviews, and real-world proximity,” he said.
Secondly, Baird says informational searches have taken a noticeable hit and clicks have reduced.
“Click-through rates are down in places where AI can summarize quickly. For websites that rely on traffic from listicles or how-to content, traffic is definitely thinner.
“However, people still click through when they want depth or to verify that a source actually said what the AI is reporting. So while the volume of clicks may be down, it‘s still important to have quality content on one’s website.”
I agree with everything Baird has said here, though I will add that generative search engines also include map views featuring local businesses. The screenshot below shows what it looks like.
In my experience, many websites' top-funnel (ToFu) clicks have significantly dropped, but the focus should always be more on bottom-funnel clicks anyway.
You can still cover those ToFu topics where it makes sense, and you might find it helps your GEO. Just make sure it has a purpose other than clicks.
Why is GEO important?
In another HubSpot article about the future of SEO, experts shared their opinions and predictions about the future of AI and SEO.
One opinion that stands out to me is from Nate Tower, who stated (and supported with data) that conversions, by percentage, from LLMs are higher. Tower believes that people chat with AI and see the software more as a friend, which is one reason why conversions from GEO are higher.
Important note: While conversions are higher by percentage, we’re still dealing with small data sets. In terms of quantity, conversions are lower.
That said, it could be an indicator of what’s to come. If people respond well to GEO, you want your business to be visible.
Ultimately, people are using generative search to find answers to their questions and meet their needs. All indicators show that GEO isn’t going anywhere, so keeping up and earning visibility in GEO makes sense. Just remember to manage GEO with SEO.
How does generative engine optimization work?
Learning to use GEO is simpler than it sounds and, in many ways, is overlapped with best SEO practices. AI tools respond well to clear, well-structured information that it can easily synthesize.
This means you should:
- Ensure your content is easy to read and understand.
- Incorporate credible sources, quotes, and statistics to enhance the content’s richness and authority.
- Structure your writing to align with the patterns used by generative engines.
When I’m writing an article, I focus on clear headings, concise paragraphs, lists, and well-sourced information. The same is true for best practices when it comes to SEO — so don’t worry about reinventing the wheel.
Other ways to improve GEO are using AI-friendly structured data, focusing on user intent, using easy-to-read/conversational language, and using unique words to make the content stand out.
These best practices aren’t all that different from SEO best practices. And, as with SEO, there’s no indication that AI-created content is ranking poorly.
If your content is high quality, you shouldn’t experience any sort of penalty for leveraging AI content tools, like the ones offered by HubSpot.
How to Do Generative Engine Optimization
GEO is still very new, but we have some early learnings about what’s helping brands secure visibility in AI search.
I’m an SEO consultant working with brands. I’ve been tracking my clients’ visibility in AI search using Kyle Rushton McGregor’s AI report and data from G4.
As you can see from one client’s report, pictured below, AI visibility is growing. All of my clients have graphs that look similar to the one below: Visibility rises most sharply in Q4 2024 and continues.
A lot of my GEO success uses transferable SEO elements.
Here are the details.
Manage your brand narrative.
As we’ve established, generative engines pull information directly from web content. Whatever you or others are saying about your brand is what generative search can share. The content has to exist for generative search to display it.
If it’s possible, find an angle for your product or service.
Think:
- What do you do?
- What problems do you solve?
- Who do you solve problems for?
Remember, people searching in generative AI search engines are searching differently; they’re using more conversational language and getting very nuanced and long-tail.
Take a look at the example below. In generative search engines, products are recommended with links to product pages and a short rationale for why they’re suitable for the searcher's query.
In the image above, all the products listed in generative search have specific messaging about the query. In my experience, generative search relays the messages found commonly across the internet on a range of sources.
Top tip: I’ve mentioned this already, but do use HubSpot’s AI Search Grader to understand how your brand is perceived now and then monitor it as you improve your GEO.
Think about keywords and search terms.
For me, keyword research is still part of the GEO process. I like to know which keywords bring up AI overviews. If you know the features Google is displaying, then you can make an extra effort to secure visibility in them.
Take a look at the screenshot below. My client ranks several times in the AI overviews.
Here’s a breakdown of how keywords influenced this achievement:
- We researched keywords related to the topic.
- Like SEO, we led with one focus keyword (the one pictured).
- We developed a keyword cluster including related keywords and questions.
- An article was briefed using SEO best practices.
- We wrote an in-depth piece (more on this next).
Write great content.
Writing great content involves many components, many of which crossover heavily with SEO.
This is great news because if you’re already writing great content and seeing the results in the form of page one rankings in Google, in my experience, you’re likely getting visibility in generative search, too.
Here are some ways to write great content:
- Write content that demonstrates experience, expertise, authority, and trust (E-E-A-T). Don’t be afraid to tell stories that showcase your experience in content.
- Cover topics in full. Generally, detailed articles perform better. Worry less about word count and keywords and more about topical coverage and detail. It’s tempting to create new pages for every topic, but some are better covered together. Learn about keyword intent to do this well.
- Think about NLP keywords. Generative search engines use natural language processing to summarize information and provide responses to prompts. Use natural, conversational language and incorporate NLP-related terms naturally to improve discoverability.
- Have experts write, or at least review, your content. You will have industry experts within your business, so make sure to include them in the writing process. Ask them for quotes, have them write content, and fetch new insights to make your article stand out.
- Answer real user questions, and don’t be afraid to think for yourself. You can use tools like AlsoAsked or Google’s People Also Ask to determine the questions your readers are asking. But you can’t beat your own research and sense of knowing your potential buyers.
- Be visual within your content with infographics, graphs, videos, and more. The more mediums a reader can digest your content, the better (within reason!). Skimmable content helps engage readers online.
Top tip: If you want to do the above, hire great writers; they do it naturally.
Structure your content for humans (and bots!)
Digital content changes how people read. Instead of settling down to read 2,000-word articles, many readers skim-read, looking for headings, bullet points, or images to tell a story.
Of course, many will still read an entire article, but when writing online, you’re looking for a way to hook your reader and draw their interest to the sections they most want to read. Equally, snippets of well-structured text follow patterns (like bullet points) that can be used by generative search engines.
Here are some ways to add more structure to your content:
- Bullet points summarize data.
- Logical heading hierarchy from H1 to H2, H3, and H4 are like the chapters of a book. Use them to help readers skim and bots gain context.
- Stick to short paragraphs where possible.
- Add images to break up sections. Bonus points if you add captions. A series of images with descriptive captions help readers digest your content quickly and succinctly.
Use schema markup.
I love schema markup! It’s not something your readers will notice since it lives in your site's code, but it does allow you to “communicate” with the bots, adding data and context to elements on your page.
We already know that Google uses schema markup to populate rich results, and I think it’s fairly safe to assume that AI overviews also use schema.
Here are some schema examples that might influence GEO:
Don’t be restricted by the above. There’s a trove of data waiting to be added to your site, and you can see what’s available at schema.org.
Tips for Navigating the Generative SEO Landscape
Here are a few tips to keep in mind as you start writing content for generative AI.
Cite sources and use statistics.
I asked Gemini what digital marketers who are hoping to create AI-scannable content should do, and it recommended that you:
- Write AI-scannable content.
- Diversify language and structure.
- Incorporate human elements such as humour.
- Write clearly.
- Showcase E-E-A-T.
- Include media.
- Understand SEO basics.
- Use tools cautiously.
While you can still use AI tools to write your content, it’s vital that it reads as useful, credible content. Incorporating E-E-A-T is a great way to increase credibility, and that serves to improve your entire domain’s authority.
So what exactly does E-E-A-T look like? I’ve been navigating the shift firsthand for my HubSpot posts.
I start by looking at my own personal experience:
- Do I have lived experience in the subject matter?
- Can I include any personal anecdotes about when I’ve encountered the topic?
Beyond that, I try to showcase my authority on a subject, noting how long I’ve worked in the field.
Obviously, I am not an expert in every topic I want to cover. In that case, I do extensive research:
- I find original statistics with verified information.
- I talk to experts whose quotes I can showcase throughout my work.
These elements enhance the credibility and uniqueness of my content.
Optimize for readability.
Think of AI like a busy student frantically looking for information to use in a paper.
They don’t have time to decipher complicated sentences. They want information that’s clear and easy to understand from the get-go. Which brings me to my next tip: Use clear, concise language and scannable paragraphs.
I’ll be honest: Writing short, clear sentences may not always be my first instinct. When I’m discussing a complicated topic, my first draft often includes lengthy explanations. I then use Hemingway, an app designed to help you write clearly.
Hemingway lets me know which sentences are lengthy, confusing, or overly complicated. I can’t always get every sentence to green, but I make an effort to correct phrases marked as “very hard to read.”
Focus on content quality.
In the past, having the right keywords was enough to win in search. Let’s take a classic example: recipe blogs.
I remember searching for a brownie recipe for a party and finding a promising, top-ranking article.
When I clicked on it, I had to scroll past huge chunks of text about what goes into a brownie, when brownies became popular, how the author's kids loved the brownies, so on and so forth.
Why? The author knew having the word “brownie recipe” as many times as possible would help her rank.
Well, that may no longer be the case. In today’s landscape, knowing that the recipe has been passed down from older generations and won an award in a local competition would be enough to show credibility.
TL;DR: Make sure your content is relevant to potential search engines, and avoid keyword stuffing. Your audience cares more about the quality of your post.
Monitor trends and track your results.
Stay on top of AI engine evolution. GEO is a new technique, so expect best practices to emerge over time. Trends in the search landscape are continuously changing.
Right now, Google is prioritizing E-E-A-T, but that may change as AI overviews take over the scene. Keep an eye on the traffic and conversions of posts you’ve written using GEO best practices.
Generative Engine Optimization FAQ
What is GEO?
Generative engine optimization (GEO) is a method of improving your content’s visibility to AI generative engines, increasing its reach.
How do I structure my content for GEO?
Ensure your content is clear, well-organized, and has credible sources. Take advantage of lists and H2s and incorporate quotes and statistics when possible.
How do I check if my content is optimized for GEO?
Because GEO is so new, there aren’t many tools to measure how successful your content will be with AI generative engines. HubSpot’s AI Search Grader App is the only tool on the market that can scan your content for its GEO performance.
All you have to do is drop your URL into the grader. From there, you’ll have custom suggestions on what areas you can change to optimize your AI search performance.
That may include including more authority and personal experience or shifting the focus area of your page.
What is AI looking for in GEO content?
Large language models (LLMs) are looking for clear, well-structured information that they can pull and summarize to respond to user queries.
AI scanning works best for content that:
- Uses headers and lists.
- Incorporates expert quotes.
- Cites sources.
- Uses simple language and scannable paragraphs.
Is GEO going to replace SEO?
No — search engines aren’t going anywhere, so SEO isn’t, either. It’s best to consider GEO as an extension of SEO practices, as opposed to a replacement.
Best practices (like using H2s and credible citations) are shared between GEO and SEO, as are worst practices. Keyword stuffing, for example, has a negative impact on both SEO and GEO.
How can you measure GEO success?
Liam Carnahan, an SEO coach and content strategist, has a recommendation for how you can leverage existing tools to check if your article is getting picked up by AI engines.
“Of all the popular search-oriented options out there right now, Perplexity does the best job of citation,” Carnahan says.
He continues, “So when I‘m trying to understand whether LLMs are ‘enjoying’ my content, I’ll go there first, and type in questions and prompts I imagine people might ask, using keywords I know my content is ranking for, to see how often it shows up in citations there.”
Carnahan also notes that this isn‘t the most elegant solution, but “for now, it can give me a good idea about which of my clients’ content is ranking in AI results, and which content pieces are missing the mark.”
What’s next for GEO?
My biggest takeaway from exploring GEO is that it emphasizes different things, but in many ways, is similar to SEO. While SEO focuses on keyword optimization and backlinks, GEO focuses more on content structure.
Content writers are going to have to balance both, but thankfully, they click together well. I think we’re going to see clearer, more helpful content as a result of these two strategies — which is something I’m really excited about.
AI isn’t going anywhere. While we’re still learning how to use and measure GEO, it’s clear that keeping an eye on emerging techniques is going to be the key to success in the digital content world going forward.
Editor's note: This post was originally published in August 2024 and has been updated for comprehensiveness.

from Marketing https://blog.hubspot.com/marketing/generative-engine-optimization
SEO is changing. We’re entering a new era of search — the AI age — and with it comes generative engine optimization (GEO), the practice of optimizing content for AI-driven engines such as ChatGPT or Perplexity.
If we want our content to reach the right people, we need to adapt. There’s no need to throw out the SEO principles you’ve spent decades learning. Much of GEO is an extension of these techniques — and it’s not as scary as it sounds.
Let’s take a look at what we know about GEO so far.
Table of Contents
- What is generative engine optimization?
- GEO vs. SEO
- Why is GEO important?
- How does generative engine optimization work?
- How to Do Generative Engine Optimization
- Tips for Navigating the Generative SEO Landscape
- Generative Engine Optimization FAQ
The good news for SEO is that generative engines pull information directly from web content (as well as other sources) to deliver responses to user queries. They use large language models (LLMs) to make sense of the information scraped and provide coherent, relevant answers.
ChatGPT, Perplexity AI, and Google AI Search are all examples of generative engines.
Generative engines work by:
- Interpreting a user’s query.
- Leveraging personal data it may have on the user, such as preferences or conversation history.
- Searching to find relevant answers to the query
- Synthesizing information from these documents into a straightforward response
If you’re new to generative search, start by using it yourself. Try HubSpot’s guide to using ChatGPT for work, which has over 100 prompts.
GEO vs. SEO
GEO and SEO are similar in many ways, as both find relevant, credible content to answer user inquiries. But they also have three key differences. Let’s explore the similarities and differences below.
GEO and SEO Similarities
These four similarities should bring optimism to SEOs because they suggest the good work done so far is transferable.
Designed to help users and provide helpful information.
Whether you’re searching on Google, Bing, ChatGPT, Perplexity, or something else entirely, what’s essential is that you can access the information you need in the easiest and shortest time possible.
One reason Google is so successful is that it has mastered a complex (and ever-changing) algorithm that sorts through content and delivers the best possible result to the person searching. Results meet search intent, and users get what they want.
Why this matters for GEO: If you’re dedicated to providing the best possible content, you have a good chance of gaining visibility in generative AI search engines. These tools need to source the best content to keep users returning.
High-quality content is your gateway to visibility.
High-quality content, in terms of landing pages, informational pages, well-thought-out service pages, etc., gets you visibility in generative search engines. As mentioned above, generative engines, like traditional search engines, pull information directly from web content.
Why this matters for GEO: If you’re achieving page one ranks in SEO, you’re likely producing high-quality content. This content will likely perform well in generative search engines, too.
This leads perfectly to my next point: E-E-A-T signals matter for SEO and GEO.
E-E-A-T signals are important in SEO and GEO.
To demonstrate how E-E-A-T is important for GEO and SEO, let me lead with an example.
If you search “CRM” in Google, you’ll see that HubSpot’s is ranked page one, rank three in the U.S.
I searched ChatGPT to see if HubSpot is recommended as a CRM. It is. HubSpot is the top recommendation in ChatGPT.
Why this matters for GEO: Ranking at the top of Google for any keyword doesn’t come easy. You need to meet a multitude of ranking factors and build E-E-A-T across your site.
Keywords and search terms still matter.
Although people search differently in traditional search engines versus generative search engines, there are similarities; users are inputting keywords and search terms.
While the input into generative search engines uses more natural language and conversation, there are still words and phrases that contextualize the search.
Why this matters for GEO: Understanding how and what people search, and then meeting search intent is still crucial.
GEO and SEO Differences
Now we understand some of the similarities, let’s look at how GEO differs from SEO.
Focus
GEO focuses on making content discoverable to AI, while SEO is about improving SERP rank.
While SEO is generally related to Google and Bing, there are lots of generative engines, so it’ll be interesting to see if different engines use different qualities to determine their sources.
Why this matters for GEO: There are nuances in how GEO and SEO work, and while focusing on GEO is becoming increasingly important, it’s not worth dropping your SEO efforts (yet, and maybe not ever). At the moment, people still use Google for the vast majority of searches. According to Edd Dawson, Google has five billion users versus ChatGPTs 200 million users.
Emphasis
The primary techniques for SEO emphasize things like backlinks and keywords, while GEO techniques emphasize structure.
An AI bot’s job is easier when it can pull clear, concise snippets that are easily synthesized, so it makes sense why structure would be an emphasis.
Chris Long, VP of marketing at Go Fish Digital, has done some testing on visibility in GEO, and his testing suggested that generative search engines do pull clear snippets. Long found success using bullet points.
In a LinkedIn post, he said, “In the past 6 months, we‘ve been doing a lot of testing around optimizing our brand for generative engine optimization. We’ve noticed how AI-driven search tends to pull in content that's extremely structured via bulleted lists, structured headings, and general listicle-style articles.”
Why this matters for GEO: If you’re dedicated to more visibility in generative AI search engines, it could be worth exploring page structure and seeing if it makes a difference.
Top tip: If you want to benchmark your current visibility in generative search engines, you could use HubSpot’s AI Search Grader. It shows you:
- Your brand's visibility and presence in AI.
- Strengths and weaknesses.
- Share of voice.
- And more.
The video below demonstrates how it works.
Use the grader to see where you are now and if anything changes once you GEO your pages.
Output
The key difference is the output of the engines.
GEO optimizes content for AI engines, which produce a summary as the output.
SEO, on the other hand, optimizes content for traditional search engines, which produce a ranked list of sources as the output.
How is GEO impacting SEO?
SEO experts worldwide have cited generative AI as the number one disruptor to SEO. So it’s worth understanding what experts suspect the impact will be.
I spoke with SEO expert Nick Baird to hear his thoughts on GEO and how it impacts SEO and marketing.
“Local SEO remains largely unaffected. When searching for a plumber or a dentist, they still need results tied to maps, reviews, and real-world proximity,” he said.
Secondly, Baird says informational searches have taken a noticeable hit and clicks have reduced.
“Click-through rates are down in places where AI can summarize quickly. For websites that rely on traffic from listicles or how-to content, traffic is definitely thinner.
“However, people still click through when they want depth or to verify that a source actually said what the AI is reporting. So while the volume of clicks may be down, it‘s still important to have quality content on one’s website.”
I agree with everything Baird has said here, though I will add that generative search engines also include map views featuring local businesses. The screenshot below shows what it looks like.
In my experience, many websites' top-funnel (ToFu) clicks have significantly dropped, but the focus should always be more on bottom-funnel clicks anyway.
You can still cover those ToFu topics where it makes sense, and you might find it helps your GEO. Just make sure it has a purpose other than clicks.
Why is GEO important?
In another HubSpot article about the future of SEO, experts shared their opinions and predictions about the future of AI and SEO.
One opinion that stands out to me is from Nate Tower, who stated (and supported with data) that conversions, by percentage, from LLMs are higher. Tower believes that people chat with AI and see the software more as a friend, which is one reason why conversions from GEO are higher.
Important note: While conversions are higher by percentage, we’re still dealing with small data sets. In terms of quantity, conversions are lower.
That said, it could be an indicator of what’s to come. If people respond well to GEO, you want your business to be visible.
Ultimately, people are using generative search to find answers to their questions and meet their needs. All indicators show that GEO isn’t going anywhere, so keeping up and earning visibility in GEO makes sense. Just remember to manage GEO with SEO.
How does generative engine optimization work?
Learning to use GEO is simpler than it sounds and, in many ways, is overlapped with best SEO practices. AI tools respond well to clear, well-structured information that it can easily synthesize.
This means you should:
- Ensure your content is easy to read and understand.
- Incorporate credible sources, quotes, and statistics to enhance the content’s richness and authority.
- Structure your writing to align with the patterns used by generative engines.
When I’m writing an article, I focus on clear headings, concise paragraphs, lists, and well-sourced information. The same is true for best practices when it comes to SEO — so don’t worry about reinventing the wheel.
Other ways to improve GEO are using AI-friendly structured data, focusing on user intent, using easy-to-read/conversational language, and using unique words to make the content stand out.
These best practices aren’t all that different from SEO best practices. And, as with SEO, there’s no indication that AI-created content is ranking poorly.
If your content is high quality, you shouldn’t experience any sort of penalty for leveraging AI content tools, like the ones offered by HubSpot.
How to Do Generative Engine Optimization
GEO is still very new, but we have some early learnings about what’s helping brands secure visibility in AI search.
I’m an SEO consultant working with brands. I’ve been tracking my clients’ visibility in AI search using Kyle Rushton McGregor’s AI report and data from G4.
As you can see from one client’s report, pictured below, AI visibility is growing. All of my clients have graphs that look similar to the one below: Visibility rises most sharply in Q4 2024 and continues.
A lot of my GEO success uses transferable SEO elements.
Here are the details.
Manage your brand narrative.
As we’ve established, generative engines pull information directly from web content. Whatever you or others are saying about your brand is what generative search can share. The content has to exist for generative search to display it.
If it’s possible, find an angle for your product or service.
Think:
- What do you do?
- What problems do you solve?
- Who do you solve problems for?
Remember, people searching in generative AI search engines are searching differently; they’re using more conversational language and getting very nuanced and long-tail.
Take a look at the example below. In generative search engines, products are recommended with links to product pages and a short rationale for why they’re suitable for the searcher's query.
In the image above, all the products listed in generative search have specific messaging about the query. In my experience, generative search relays the messages found commonly across the internet on a range of sources.
Top tip: I’ve mentioned this already, but do use HubSpot’s AI Search Grader to understand how your brand is perceived now and then monitor it as you improve your GEO.
Think about keywords and search terms.
For me, keyword research is still part of the GEO process. I like to know which keywords bring up AI overviews. If you know the features Google is displaying, then you can make an extra effort to secure visibility in them.
Take a look at the screenshot below. My client ranks several times in the AI overviews.
Here’s a breakdown of how keywords influenced this achievement:
- We researched keywords related to the topic.
- Like SEO, we led with one focus keyword (the one pictured).
- We developed a keyword cluster including related keywords and questions.
- An article was briefed using SEO best practices.
- We wrote an in-depth piece (more on this next).
Write great content.
Writing great content involves many components, many of which crossover heavily with SEO.
This is great news because if you’re already writing great content and seeing the results in the form of page one rankings in Google, in my experience, you’re likely getting visibility in generative search, too.
Here are some ways to write great content:
- Write content that demonstrates experience, expertise, authority, and trust (E-E-A-T). Don’t be afraid to tell stories that showcase your experience in content.
- Cover topics in full. Generally, detailed articles perform better. Worry less about word count and keywords and more about topical coverage and detail. It’s tempting to create new pages for every topic, but some are better covered together. Learn about keyword intent to do this well.
- Think about NLP keywords. Generative search engines use natural language processing to summarize information and provide responses to prompts. Use natural, conversational language and incorporate NLP-related terms naturally to improve discoverability.
- Have experts write, or at least review, your content. You will have industry experts within your business, so make sure to include them in the writing process. Ask them for quotes, have them write content, and fetch new insights to make your article stand out.
- Answer real user questions, and don’t be afraid to think for yourself. You can use tools like AlsoAsked or Google’s People Also Ask to determine the questions your readers are asking. But you can’t beat your own research and sense of knowing your potential buyers.
- Be visual within your content with infographics, graphs, videos, and more. The more mediums a reader can digest your content, the better (within reason!). Skimmable content helps engage readers online.
Top tip: If you want to do the above, hire great writers; they do it naturally.
Structure your content for humans (and bots!)
Digital content changes how people read. Instead of settling down to read 2,000-word articles, many readers skim-read, looking for headings, bullet points, or images to tell a story.
Of course, many will still read an entire article, but when writing online, you’re looking for a way to hook your reader and draw their interest to the sections they most want to read. Equally, snippets of well-structured text follow patterns (like bullet points) that can be used by generative search engines.
Here are some ways to add more structure to your content:
- Bullet points summarize data.
- Logical heading hierarchy from H1 to H2, H3, and H4 are like the chapters of a book. Use them to help readers skim and bots gain context.
- Stick to short paragraphs where possible.
- Add images to break up sections. Bonus points if you add captions. A series of images with descriptive captions help readers digest your content quickly and succinctly.
Use schema markup.
I love schema markup! It’s not something your readers will notice since it lives in your site's code, but it does allow you to “communicate” with the bots, adding data and context to elements on your page.
We already know that Google uses schema markup to populate rich results, and I think it’s fairly safe to assume that AI overviews also use schema.
Here are some schema examples that might influence GEO:
Don’t be restricted by the above. There’s a trove of data waiting to be added to your site, and you can see what’s available at schema.org.
Tips for Navigating the Generative SEO Landscape
Here are a few tips to keep in mind as you start writing content for generative AI.
Cite sources and use statistics.
I asked Gemini what digital marketers who are hoping to create AI-scannable content should do, and it recommended that you:
- Write AI-scannable content.
- Diversify language and structure.
- Incorporate human elements such as humour.
- Write clearly.
- Showcase E-E-A-T.
- Include media.
- Understand SEO basics.
- Use tools cautiously.
While you can still use AI tools to write your content, it’s vital that it reads as useful, credible content. Incorporating E-E-A-T is a great way to increase credibility, and that serves to improve your entire domain’s authority.
So what exactly does E-E-A-T look like? I’ve been navigating the shift firsthand for my HubSpot posts.
I start by looking at my own personal experience:
- Do I have lived experience in the subject matter?
- Can I include any personal anecdotes about when I’ve encountered the topic?
Beyond that, I try to showcase my authority on a subject, noting how long I’ve worked in the field.
Obviously, I am not an expert in every topic I want to cover. In that case, I do extensive research:
- I find original statistics with verified information.
- I talk to experts whose quotes I can showcase throughout my work.
These elements enhance the credibility and uniqueness of my content.
Optimize for readability.
Think of AI like a busy student frantically looking for information to use in a paper.
They don’t have time to decipher complicated sentences. They want information that’s clear and easy to understand from the get-go. Which brings me to my next tip: Use clear, concise language and scannable paragraphs.
I’ll be honest: Writing short, clear sentences may not always be my first instinct. When I’m discussing a complicated topic, my first draft often includes lengthy explanations. I then use Hemingway, an app designed to help you write clearly.
Hemingway lets me know which sentences are lengthy, confusing, or overly complicated. I can’t always get every sentence to green, but I make an effort to correct phrases marked as “very hard to read.”
Focus on content quality.
In the past, having the right keywords was enough to win in search. Let’s take a classic example: recipe blogs.
I remember searching for a brownie recipe for a party and finding a promising, top-ranking article.
When I clicked on it, I had to scroll past huge chunks of text about what goes into a brownie, when brownies became popular, how the author's kids loved the brownies, so on and so forth.
Why? The author knew having the word “brownie recipe” as many times as possible would help her rank.
Well, that may no longer be the case. In today’s landscape, knowing that the recipe has been passed down from older generations and won an award in a local competition would be enough to show credibility.
TL;DR: Make sure your content is relevant to potential search engines, and avoid keyword stuffing. Your audience cares more about the quality of your post.
Monitor trends and track your results.
Stay on top of AI engine evolution. GEO is a new technique, so expect best practices to emerge over time. Trends in the search landscape are continuously changing.
Right now, Google is prioritizing E-E-A-T, but that may change as AI overviews take over the scene. Keep an eye on the traffic and conversions of posts you’ve written using GEO best practices.
Generative Engine Optimization FAQ
What is GEO?
Generative engine optimization (GEO) is a method of improving your content’s visibility to AI generative engines, increasing its reach.
How do I structure my content for GEO?
Ensure your content is clear, well-organized, and has credible sources. Take advantage of lists and H2s and incorporate quotes and statistics when possible.
How do I check if my content is optimized for GEO?
Because GEO is so new, there aren’t many tools to measure how successful your content will be with AI generative engines. HubSpot’s AI Search Grader App is the only tool on the market that can scan your content for its GEO performance.
All you have to do is drop your URL into the grader. From there, you’ll have custom suggestions on what areas you can change to optimize your AI search performance.
That may include including more authority and personal experience or shifting the focus area of your page.
What is AI looking for in GEO content?
Large language models (LLMs) are looking for clear, well-structured information that they can pull and summarize to respond to user queries.
AI scanning works best for content that:
- Uses headers and lists.
- Incorporates expert quotes.
- Cites sources.
- Uses simple language and scannable paragraphs.
Is GEO going to replace SEO?
No — search engines aren’t going anywhere, so SEO isn’t, either. It’s best to consider GEO as an extension of SEO practices, as opposed to a replacement.
Best practices (like using H2s and credible citations) are shared between GEO and SEO, as are worst practices. Keyword stuffing, for example, has a negative impact on both SEO and GEO.
How can you measure GEO success?
Liam Carnahan, an SEO coach and content strategist, has a recommendation for how you can leverage existing tools to check if your article is getting picked up by AI engines.
“Of all the popular search-oriented options out there right now, Perplexity does the best job of citation,” Carnahan says.
He continues, “So when I‘m trying to understand whether LLMs are ‘enjoying’ my content, I’ll go there first, and type in questions and prompts I imagine people might ask, using keywords I know my content is ranking for, to see how often it shows up in citations there.”
Carnahan also notes that this isn‘t the most elegant solution, but “for now, it can give me a good idea about which of my clients’ content is ranking in AI results, and which content pieces are missing the mark.”
What’s next for GEO?
My biggest takeaway from exploring GEO is that it emphasizes different things, but in many ways, is similar to SEO. While SEO focuses on keyword optimization and backlinks, GEO focuses more on content structure.
Content writers are going to have to balance both, but thankfully, they click together well. I think we’re going to see clearer, more helpful content as a result of these two strategies — which is something I’m really excited about.
AI isn’t going anywhere. While we’re still learning how to use and measure GEO, it’s clear that keeping an eye on emerging techniques is going to be the key to success in the digital content world going forward.
Editor's note: This post was originally published in August 2024 and has been updated for comprehensiveness.
