How to Get Featured in AI Answers for High-Intent Queries

Your hard-won #1 Google rankings are becoming invisible in the age of AI search, and you might not even realize it.

This isn’t a future problem. It’s happening right now, creating a massive visibility gap for brands that rely on the old SEO playbook.

If you've ever gotten solid articles ranking on page oene, then asked a relevant question in Perplexity only to find your brand is nowhere to be seen, you know what I’m talking about.

The data shows a clear disconnect: a BrightEdge study found that only about 17% of sources in AI Overviews also rank in Google's top 10.

In this article, I'm going to show you how to fix it. I’m drawing on 13+ years of experience in content marketing and SEO to share the playbook I've used for my own business and seen other experts use to win.

This is how you get featured in AI answers for the high-intent queries that drive your business.

Key highlights

Create a “surround sound” effect. You need to get your brand talked about everywhere online. Research shows that having a presence on at least four different platforms makes you 2.8x more likely to appear in AI answers. The goal is to get people who already use your product to speak on your behalf.
Build messaging consensus. Your brand has to be described consistently everywhere an AI might look. This helps you avoid the “mention-source divide,” a gap that SEO studies show plagues majority of businesses. In fact, data from SEMrush reveals that AI models leave out the brand name in up to 57% to 62% of the sources they cite, using your content to answer questions while keeping your brand invisible.
Focus on high-intent BOFU content. Bottom-of-funnel (BOFU) content, like product comparisons and buying guides, is what your buyers read right before they make a decision. These brand-owned pages capture a staggering 42% to 79% of citations for consideration-stage queries.
Master your review ecosystem. AI engines need "referenceable perspectives" from real people, so they look at review platforms like G2, Capterra, and Clutch. So you have to find ethical, organic ways to get customers talking about their experiences; I've seen offering gift cards backfire on other brands.
Evolve, don’t abandon, SEO. You don't need to throw out your SEO playbook. Instead, you'll add new Generative Engine Optimization (GEO) practices on top of it. Foundational elements like clear structure and scannability are more important than ever for machine readability.
Measure, test, and iterate. The AI search landscape is a fast-moving environment where 70% of ranking pages can change in months. To stay ahead, you have to pinpoint what to measure, audit your baseline, and identify the important queries where you’re absent to create a feedback loop.

1. Have a surround sound effect in your market

If you take away only one thing from this guide, make it this: being talked about everywhere is the new currency for AI visibility.

Research confirms that having a “surround sound effect” is the single biggest predictor of getting citations in AI search.

You should prioritize this. Once you solve the surround sound problem, you have a very good chance of winning.

Almost every time I use an AI platform like Gemini to find a new product, it recommends the brands that are already the most talked-about in their market. For example, if I ask for a way to send money internationally, tools like Wise and Revolut almost always come up because people already discuss them everywhere.

The data backs this up. A 2025 visibility report found that brand search volume is the number one predictor of LLM citations. The same report shows sites present on four or more platforms are 2.8x more likely to get featured in AI answers. The goal is to be present everywhere the AI might look.

So, how do you do it? It starts with a high-quality product, but from there, it’s about strategically getting people to talk about you on the right channels. Here's where to focus:

Get on video platforms. Get creators, including micro-creators, to make videos about your brand on YouTube and TikTok. An Ahrefs study identified YouTube mentions as the strongest correlating factor for AI Overview visibility.
Dominate community platforms. Contribute meaningfully to conversations on Reddit and Quora. These platforms are incredibly influential; The AI Citation Economy report found they capture 52.5% of all AI citations, making them more powerful than brand websites.
Get featured in third-party listicles. Getting into journalistic articles and "best of" lists is vital. According to research from Search Engine Land, listicles appear in 40% of responses to commercial prompts.
Leverage your power users. Get your real users to speak on your behalf. Ask your most frequent and satisfied customers for testimonials and to share their positive experiences.
Use ethical incentives. To encourage people to talk, give them affiliate deals where they get a share of the revenue they bring in. But do it ethically. I’ve seen brands try to give out gift cards for posts, which backfired and created a negative impression.
Make your content easy to cite. Weave statistics and expert quotations directly into your content. This makes your key points easier to reference; one analysis shows adding statistics can increase visibility by 22%, while quotations can boost it by 37%.

2. Take a position and echo it everywhere

While traditional SEO rewarded presence, AI rewards consensus. The old playbook was about showing up everywhere, but AI search wants to see your brand described the same way by multiple, independent sources.

This is about getting authoritative sites to agree on your value repeatedly. For an AI, consensus means that in 80% to 90% of the places your brand is mentioned, the conversation shares the same perspective.

When an AI scans the web and sees this consistency, it builds confidence. If your positioning is all over the place, the model becomes unsure and is less likely to cite you.

Here’s the opportunity: most brands aren’t doing this well. Like the SEMRush data I shared earlier, only a few brands are both frequently mentioned and consistently cited as an authority, creating a massive “Mention-Source Divide” that you can fill.

To do this, you need to conduct a messaging audit to find every place your brand is mentioned in a way that doesn’t match how you want to be perceived. This will take some work, but it’s absolutely doable. Here’s how to start:

Find your mentions. Use tools like Ahrefs or SEMrush’s brand and link trackers to see where and how other sites mention or link to you.
Analyze the descriptions. Are people calling your “AI-powered analytics platform” a “simple reporting tool”? That’s a messaging gap you need to close.
Check your own properties. Make sure your website, social media profiles, and directory listings all tell the exact same story with the same language.
Examine independent domains. Look at what review sites, journalistic listicles, and forums are saying. This is where AI finds the consensus it trusts.

Once you find messaging that’s off, your job is to get those sources to describe your brand properly. This means optimizing your content at the passage level, since AI models often pull small text chunks to build their answers. Your goal is to make the correct description the easiest one for the AI to find and use.

3. Invest in bottom of funnel (BOFU) content

While top-of-funnel content has its place, AI search heavily rewards brands that create high-quality, decision-stage content on their own domains. These are the types of bottom-of-funnel (BOFU) content that win.

I’m talking about the content your buyers consume right before they decide whether to buy your product. This is where you can directly answer commercial queries and become a prime source for AI citations.

And the data backs this up. A BrightEdge study found that brand-owned commercial pages capture a massive 42% to 79% of consideration-stage citations. The opportunity is clearly on your own domain, not just on third-party sites.

So what kind of content should you create? Focus on these formats:

Product comparisons (Your Product vs. Competitor)
"Alternatives to X" pages
In-depth buying guides for your category
Product category listicles

Even some "how-to" articles can function as BOFU content if the solution requires a tool. For instance, if a buyer asks an AI "how to send money to Brazil," the answer will almost certainly mention the tools that can do it. When you create this content, look for natural ways to mention your own brand to increase the chances an AI model will cite you.

Finally, remember that not all generative engines behave the same way. For transactional queries, Google AI Overviews cite major retailer domains 30% of the time, while ChatGPT does so only 15% of the time, according to BrightEdge. The same study found that YouTube and Facebook account for nearly 13% of Google AIO’s transactional citations, signaling that video is a key source for AIOs.

Fun fact: You can easily create this high-quality BOFU content with Leaps, our anti-slop B2B content creation tool. It captures your brand’s unique perspectives and combines that with deep industry research to create expert-led content that completely avoids slop and amplifies your thinking instead of replacing it with AI.

AI engines are actively looking for real-world user opinions to validate their answers. They need referenceable perspectives, and while a Yext study found reviews and social media make up about 8% of citations, their influence is critical.

Your reputation on these platforms is no longer just for social proof. It’s a core input for getting featured in AI answers.

My approach here is a two-part strategy. First, identify and build a presence on the dominant review and social platforms in your vertical. Second, you must focus on ethically encouraging customers to leave consistent, detailed reviews.

For B2B SaaS, that means prioritizing a few key platforms. I always advise starting with the platforms that get cited most, then expanding. And don’t forget Reddit, as community platforms capture 52.5% of all citations.

For B2B Software: These include G2, Capterra, GetApp, and Trustpilot.
For Services: If you’re a service-based business, Clutch is one platform to look at.
For B2C products: You’ll want to look at platforms like Amazon, which AI engines heavily rely on for evaluating consumer products.

Now for the most important part: how you get those reviews. The keyword here is encouraging, not buying. You have to find ethical, organic ways to get people talking.

I’ve seen this backfire spectacularly. I’ve seen cases where a brand tried to give customers gift cards to post reviews, and the news got out. The backlash created a negative impression that hurt them far more than the positive reviews helped. You want to avoid that at all costs.

Instead, find organic ways to get your customers to share their experiences. I’ve seen brands effectively connect with their power users on social media or build relationships after they've used the product. The goal is to get genuine advocates to speak for you, not to create fake buzz.

5. Keep doing proven SEO tactics

There's conflicting data out there. A seoClarity study found that 90% of AI Overview citations had an overlap with top 10 organic results, but another BrightEdge report puts that overlap at only 17%.

The way I see it, Generative Engine Optimization (GEO) isn't a replacement for SEO. It’s the next evolution. You aren’t throwing out the playbook completely, you’re just adding a new chapter of GEO best practices on top of what you already do.

And Google seems to agree. Their own guidance confirms the SEO playbook is "largely unchanged." You still need to nail the fundamentals. In fact, they’re more important than ever for giving LLMs the clear, structured content they crave. That means focusing on:

Clear H1s and headings
Scannable bullets and tables
Direct answers upfront in your content
Proper schema markup

This isn't about old-school tricks. In fact, a Princeton GEO study shows that outdated tactics like keyword stuffing actually perform 10% worse than doing nothing. You’re building on a foundation of good SEO and then adding new layers like optimizing for AI engines, focusing on entity clarity, and targeting more in-depth keywords.

6. Test everything to find what works

Because this new layer is built on a technology that researchers call "black-box and fast-moving," you can't just set it and forget it. Research from Authoritas found that a staggering 70% of ranking pages in AI Overviews change over a two to three-month period. This is why you have to test everything.

When I hear about new best practices, my approach is to test them first. For example, a few months ago, people started talking about LLM.txt files. No one is 100% sure if they work yet, but it's a test that doesn't cost much time or resources.

So, test it and see how it goes for you. Best practices fly around the marketing space all the time. The real skill is testing them to see what works for your brand and holding on to what’s working.

7. Measure results, tweak, and move forward

That Princeton GEO research I mentioned earlier shows that the effectiveness of optimization methods varies significantly across different industries. As one iPullRank study notes, "what works for a massive ecommerce site will probably fail for a niche legal firm."

Data from BrightEdge confirms this, showing AI citation overlap with top organic results is 24% for healthcare but just 11% for finance. So, where do you start?

First, I recommend you pinpoint the exact things to measure. At a minimum, you’ll want to track how often you’re mentioned for important business queries and how much referral traffic you get from those citations. The main goal is to build a feedback loop that helps you answer critical business questions.

Your measurement process should be designed to answer questions like:

How frequently are you getting mentioned and cited across all the queries important to your business?
What are the queries you’re getting cited for, and are they actually important?
Which queries should you be cited for, but you aren’t seeing your brand appear?
Where are you getting cited, and how can you make sure you stay in those positions?
How do you get more citations and build on your success?

You can use tools to build this feedback loop. For example, platforms from providers like Conductor are designed to find topics where you have citation gaps and help you take action.

Others, like Keyword.com's Perplexity tracker, monitor competitor mentions so you can identify and close visibility gaps. This is how you turn data into an advantage and get featured in AI answers consistently.

Frequently asked questions about getting featured in AI answers

Getting started with generative engine optimization can bring up a lot of questions. Here are my direct answers to some of the most common ones.

Is good SEO enough to get featured in AI answers?

No, but it’s still the foundation you need to build on. I see good old-fashioned SEO as table stakes. The foundational elements like clear headings, scannable bullet points, and putting direct answers upfront are still vital.

But the game has evolved. Think of the strategies I’ve outlined in this article as a new layer you need to add on top of what you already do.

My take is that you can’t rely on your traditional playbook alone. You need to keep doing the basics right but also actively build your brand’s presence in the places AI engines are looking for answers.

What are the most important metrics to track for AI visibility?

Before you do anything else, you need to pinpoint the exact things to measure. At first, I recommend you track a few core metrics to establish a baseline: how frequently you’re getting mentioned in AI answers and how many site visits you’re getting from those citations.

You can track referral traffic from platforms like ChatGPT, Gemini, and Perplexity in your web analytics tools like Google Analytics or PostHog. At the same time, tools like Ahrefs’ Brand Radar or SEMrush can help you audit your visibility and find gaps.

Once you have that data, your measurement should help you answer more strategic questions. Are you getting citations for the queries that matter to your business? Where are the gaps you need to fill? And how do you retain the positions you’ve earned while capturing new ones?

What types of content work best for high-intent AI queries?

To get featured in AI answers for high-intent queries, you need to invest in bottom-of-funnel (BOFU) content. I’m talking about the content your buyers consume right before or while they’re deciding whether to buy your product.

As BrightEdge research confirms, brand-owned commercial pages capture between 42% and 79% of citations for these consideration-stage queries. You can hire writers to create your content or use a specialized anti-slop B2B content creation platform like Leaps that amplifies your thinking, instead of replacing it with AI.

What is the most important factor for getting cited in AI answers?

The single most important factor is creating a "surround sound" effect. This means your brand is so frequently and consistently talked about across the internet that AI engines can't help but notice you.

I see this in my own use of AI. Almost every time I ask Gemini to recommend a tool for a problem, the products that come up are the ones that are already well-known and most talked about in their market.

And the data confirms this experience. Research shows that brand search volume is the number one predictor of LLM citations. In fact, sites present on four or more platforms are 2.8x more likely to be featured. This means getting people to talk about you on journalistic listicles, community forums like Reddit, and especially YouTube is critical.

Should I abandon traditional SEO for AI Engine Optimization (AEO)?

No. Let me be clear, you don’t need to throw out your entire SEO playbook. While some data shows that only 17% of sources in AI Overviews also rank in the top 10, other research found a 90% overlap. With all this conflicting data, it’s easy to get confused.

The good news is that the foundational elements of good SEO are more critical than ever. In fact, Google’s own guidance suggests the SEO playbook remains largely unchanged. So instead of replacing your strategy, you should think of AEO as a new layer of best practices you add on top of what you’re already doing.

Your playbook for winning in the age of AI answers

Let’s be direct: your hard-won #1 Google rankings are threatened, and you might not even realize it. But a new playbook exists to win in this new era.

My goal for this article has been to show you how to get featured in AI answers for high-intent queries, the same way I've done it and have seen other successful brands do it.

Winning isn't about finding one secret trick. It’s about executing a holistic strategy built on a few core pillars that I've covered. If you take anything away from this guide, it should be these key principles:

Surround Sound: Being present and talked about everywhere your customers are is the single biggest predictor of success.
Consensus: Ensure your brand is described with the same core positioning consistently across every channel and third-party site.
Content: Invest in high-intent, bottom-of-funnel content like comparisons and buying guides that directly answer purchase-ready questions.
Credibility: Systematically generate authentic reviews on the dominant platforms in your vertical, whether that’s G2, Capterra, or Clutch.
Continuity: Build these new generative engine optimization practices on top of your foundational SEO efforts. This is an addition, not a replacement.

Your work starts now. First, measure your current AI search visibility to establish a baseline. Use tools like Google Analytics to track referral traffic from platforms like chatgpt.com and gemini.google.com, and run audits to see where and how your brand is being mentioned.

At the same time, adopt a testing mindset. Best practices in this space fly around all the time, and you need to see what works for you.

Start running small, controlled experiments today. Add statistics to a key page, publish a new "alternative to" article, and measure the impact.

Don't wait for the perfect strategy. The only way to win is to start testing, learning, and moving forward now.

Related:

Your hard-won #1 Google rankings are becoming invisible in the age of AI search, and you might not even realize it.

This isn’t a future problem. It’s happening right now, creating a massive visibility gap for brands that rely on the old SEO playbook.

If you've ever gotten solid articles ranking on page oene, then asked a relevant question in Perplexity only to find your brand is nowhere to be seen, you know what I’m talking about.

The data shows a clear disconnect: a BrightEdge study found that only about 17% of sources in AI Overviews also rank in Google's top 10.

This is how you get featured in AI answers for the high-intent queries that drive your business.

Key highlights

Create a “surround sound” effect. You need to get your brand talked about everywhere online. Research shows that having a presence on at least four different platforms makes you 2.8x more likely to appear in AI answers. The goal is to get people who already use your product to speak on your behalf.
Build messaging consensus. Your brand has to be described consistently everywhere an AI might look. This helps you avoid the “mention-source divide,” a gap that SEO studies show plagues majority of businesses. In fact, data from SEMrush reveals that AI models leave out the brand name in up to 57% to 62% of the sources they cite, using your content to answer questions while keeping your brand invisible.
Focus on high-intent BOFU content. Bottom-of-funnel (BOFU) content, like product comparisons and buying guides, is what your buyers read right before they make a decision. These brand-owned pages capture a staggering 42% to 79% of citations for consideration-stage queries.
Master your review ecosystem. AI engines need "referenceable perspectives" from real people, so they look at review platforms like G2, Capterra, and Clutch. So you have to find ethical, organic ways to get customers talking about their experiences; I've seen offering gift cards backfire on other brands.
Evolve, don’t abandon, SEO. You don't need to throw out your SEO playbook. Instead, you'll add new Generative Engine Optimization (GEO) practices on top of it. Foundational elements like clear structure and scannability are more important than ever for machine readability.
Measure, test, and iterate. The AI search landscape is a fast-moving environment where 70% of ranking pages can change in months. To stay ahead, you have to pinpoint what to measure, audit your baseline, and identify the important queries where you’re absent to create a feedback loop.

1. Have a surround sound effect in your market

If you take away only one thing from this guide, make it this: being talked about everywhere is the new currency for AI visibility.

Research confirms that having a “surround sound effect” is the single biggest predictor of getting citations in AI search.

You should prioritize this. Once you solve the surround sound problem, you have a very good chance of winning.

So, how do you do it? It starts with a high-quality product, but from there, it’s about strategically getting people to talk about you on the right channels. Here's where to focus:

Get on video platforms. Get creators, including micro-creators, to make videos about your brand on YouTube and TikTok. An Ahrefs study identified YouTube mentions as the strongest correlating factor for AI Overview visibility.
Dominate community platforms. Contribute meaningfully to conversations on Reddit and Quora. These platforms are incredibly influential; The AI Citation Economy report found they capture 52.5% of all AI citations, making them more powerful than brand websites.
Get featured in third-party listicles. Getting into journalistic articles and "best of" lists is vital. According to research from Search Engine Land, listicles appear in 40% of responses to commercial prompts.
Leverage your power users. Get your real users to speak on your behalf. Ask your most frequent and satisfied customers for testimonials and to share their positive experiences.
Use ethical incentives. To encourage people to talk, give them affiliate deals where they get a share of the revenue they bring in. But do it ethically. I’ve seen brands try to give out gift cards for posts, which backfired and created a negative impression.
Make your content easy to cite. Weave statistics and expert quotations directly into your content. This makes your key points easier to reference; one analysis shows adding statistics can increase visibility by 22%, while quotations can boost it by 37%.

2. Take a position and echo it everywhere

When an AI scans the web and sees this consistency, it builds confidence. If your positioning is all over the place, the model becomes unsure and is less likely to cite you.

Find your mentions. Use tools like Ahrefs or SEMrush’s brand and link trackers to see where and how other sites mention or link to you.
Analyze the descriptions. Are people calling your “AI-powered analytics platform” a “simple reporting tool”? That’s a messaging gap you need to close.
Check your own properties. Make sure your website, social media profiles, and directory listings all tell the exact same story with the same language.
Examine independent domains. Look at what review sites, journalistic listicles, and forums are saying. This is where AI finds the consensus it trusts.

3. Invest in bottom of funnel (BOFU) content

So what kind of content should you create? Focus on these formats:

Product comparisons (Your Product vs. Competitor)
"Alternatives to X" pages
In-depth buying guides for your category
Product category listicles

Your reputation on these platforms is no longer just for social proof. It’s a core input for getting featured in AI answers.

For B2B Software: These include G2, Capterra, GetApp, and Trustpilot.
For Services: If you’re a service-based business, Clutch is one platform to look at.
For B2C products: You’ll want to look at platforms like Amazon, which AI engines heavily rely on for evaluating consumer products.

Now for the most important part: how you get those reviews. The keyword here is encouraging, not buying. You have to find ethical, organic ways to get people talking.

5. Keep doing proven SEO tactics

There's conflicting data out there. A seoClarity study found that 90% of AI Overview citations had an overlap with top 10 organic results, but another BrightEdge report puts that overlap at only 17%.

Clear H1s and headings
Scannable bullets and tables
Direct answers upfront in your content
Proper schema markup

6. Test everything to find what works

7. Measure results, tweak, and move forward

Data from BrightEdge confirms this, showing AI citation overlap with top organic results is 24% for healthcare but just 11% for finance. So, where do you start?

Your measurement process should be designed to answer questions like:

How frequently are you getting mentioned and cited across all the queries important to your business?
What are the queries you’re getting cited for, and are they actually important?
Which queries should you be cited for, but you aren’t seeing your brand appear?
Where are you getting cited, and how can you make sure you stay in those positions?
How do you get more citations and build on your success?

You can use tools to build this feedback loop. For example, platforms from providers like Conductor are designed to find topics where you have citation gaps and help you take action.

Frequently asked questions about getting featured in AI answers

Getting started with generative engine optimization can bring up a lot of questions. Here are my direct answers to some of the most common ones.

Is good SEO enough to get featured in AI answers?

But the game has evolved. Think of the strategies I’ve outlined in this article as a new layer you need to add on top of what you already do.

What are the most important metrics to track for AI visibility?

What types of content work best for high-intent AI queries?

What is the most important factor for getting cited in AI answers?

Should I abandon traditional SEO for AI Engine Optimization (AEO)?

Your playbook for winning in the age of AI answers

Let’s be direct: your hard-won #1 Google rankings are threatened, and you might not even realize it. But a new playbook exists to win in this new era.

My goal for this article has been to show you how to get featured in AI answers for high-intent queries, the same way I've done it and have seen other successful brands do it.

Surround Sound: Being present and talked about everywhere your customers are is the single biggest predictor of success.
Consensus: Ensure your brand is described with the same core positioning consistently across every channel and third-party site.
Content: Invest in high-intent, bottom-of-funnel content like comparisons and buying guides that directly answer purchase-ready questions.
Credibility: Systematically generate authentic reviews on the dominant platforms in your vertical, whether that’s G2, Capterra, or Clutch.
Continuity: Build these new generative engine optimization practices on top of your foundational SEO efforts. This is an addition, not a replacement.

At the same time, adopt a testing mindset. Best practices in this space fly around all the time, and you need to see what works for you.

Start running small, controlled experiments today. Add statistics to a key page, publish a new "alternative to" article, and measure the impact.

Don't wait for the perfect strategy. The only way to win is to start testing, learning, and moving forward now.

Related:

How to Get Featured in AI Answers for High-Intent Queries

Key highlights

1. Have a surround sound effect in your market

2. Take a position and echo it everywhere

3. Invest in bottom of funnel (BOFU) content

5. Keep doing proven SEO tactics

6. Test everything to find what works

7. Measure results, tweak, and move forward

Frequently asked questions about getting featured in AI answers

Is good SEO enough to get featured in AI answers?

What are the most important metrics to track for AI visibility?

What types of content work best for high-intent AI queries?

What is the most important factor for getting cited in AI answers?

Should I abandon traditional SEO for AI Engine Optimization (AEO)?

Your playbook for winning in the age of AI answers

Victor Ijidola

How to Get Featured in AI Answers for High-Intent Queries

Key highlights

1. Have a surround sound effect in your market

2. Take a position and echo it everywhere

3. Invest in bottom of funnel (BOFU) content

5. Keep doing proven SEO tactics

6. Test everything to find what works

7. Measure results, tweak, and move forward

Frequently asked questions about getting featured in AI answers

Is good SEO enough to get featured in AI answers?

What are the most important metrics to track for AI visibility?

What types of content work best for high-intent AI queries?

What is the most important factor for getting cited in AI answers?

Should I abandon traditional SEO for AI Engine Optimization (AEO)?

Your playbook for winning in the age of AI answers

Victor Ijidola

How to Get Featured in AI Answers for High-Intent Queries

Key highlights

1. Have a surround sound effect in your market

2. Take a position and echo it everywhere

3. Invest in bottom of funnel (BOFU) content

4. Get your reviews on social and review sites

5. Keep doing proven SEO tactics

6. Test everything to find what works

7. Measure results, tweak, and move forward

Frequently asked questions about getting featured in AI answers

Is good SEO enough to get featured in AI answers?

What are the most important metrics to track for AI visibility?

What types of content work best for high-intent AI queries?

What is the most important factor for getting cited in AI answers?

Should I abandon traditional SEO for AI Engine Optimization (AEO)?

Your playbook for winning in the age of AI answers

Victor Ijidola

How to Get Featured in AI Answers for High-Intent Queries

Key highlights

1. Have a surround sound effect in your market

2. Take a position and echo it everywhere

3. Invest in bottom of funnel (BOFU) content

4. Get your reviews on social and review sites

5. Keep doing proven SEO tactics

6. Test everything to find what works

7. Measure results, tweak, and move forward

Frequently asked questions about getting featured in AI answers

Is good SEO enough to get featured in AI answers?

What are the most important metrics to track for AI visibility?

What types of content work best for high-intent AI queries?

What is the most important factor for getting cited in AI answers?

Should I abandon traditional SEO for AI Engine Optimization (AEO)?

Your playbook for winning in the age of AI answers

Victor Ijidola