How to rank in AI search results: Best practices from experts

Knowing how to rank in search engines and how to rank in AI search results are now two different games.

As of early 2026, BrightEdge noted AI overviews appear in about 48% of tracked Google searches, and the prevalence of health and treatment queries increases up to 100%. ChatGPT processes over a billion searches per week, while Perplexity, Claude and Gemini route millions of searches every day without a single click.

But here’s the silver lining: you can be invisible in Blue Link results and still gain AI visibility if you know how to optimize for it.

I’ve spent a lot of time with the data and working with content marketers who are trying to figure out exactly that. What follows is everything that actually works, backed by research – no waffling, no guessing.

Table of contents

Why ranking in AI search results matters

AI-mediated visitors aren’t just visitors – they’re pre-qualified buyers. Ahrefs analyzed their own traffic data and found this out AI search visitors made up just 0.5% of total visitors, but accounted for 12.1% of all sign-ups. That’s 23 times the conversion rate of visitors from traditional organic search.

Semrush confirmed The pattern shows that AI search visitors convert on average 4.4x faster than regular organic visitors.

These visitors are inherently more qualified than visitors who are compelled to click on your website. In most cases, they have already received the answer they needed from the AI, in fact chosen to find out more. This self-selection shows high intention and interest.

The volume of AI search traffic is still small compared to Google, but is growing quickly. The teams investing in AEO (or GEO) are building citation expertise now while competition is still low. If SEO trends continue, this trend will not last long.

How to optimize content for AI search prompts

1. Make sure your website is accessible to AI crawlers.

Cloudflare reported that AI crawlers are now responsible 4.2% of all HTML Requests in your network. OpenAI’s GPTBot alone grew by 305% from May 2024 to May 2025. However, if your robots.txt file or server configuration blocks AI crawlers, even the largest AI knowledge base content will go unnoticed.

Experienced digital marketers know that search engines need to be able to crawl your pages before they can even rank you. The same applies to AI search results. Every major AI platform has its own crawler.

Here are the main ones you should know:

Now, if you have intellectual property (IP), private or proprietary content on your website, you don’t want AI to be used without compensation. Blocking AI crawlers isn’t a bad thing – but make sure you’re not blocking crawlers that want to let you in.

Check your robots.txt File.

For example, OAI-SearchBot and PerplexityBot are retrieval crawlers. They don’t use content for training, but rather enable real-time AI responses. If you block them, you will disappear from ChatGPT and Perplexity search results.

Pro tip: Even if you want to protect your content, don’t block all AI crawlers. Research from Rutgers Business School and Wharton found that publishers that block AI crawlers via robots.txt lost about 7% of weekly traffic within six weeks.

Aside from AI crawlers, there are a few other things you can do to make your website technically AI-accessible.

Consider adding a llms.txt file.

An llms.txt file is a document added to your website that serves as a map and resource guide for AI models, search agents, and autonomous web bots. This newer standard, officially supported by Anthropic, helps AI systems understand what content can be safely summarized and cited.

What we like: The llms.txt file is a quick success. It takes less than an hour to create and clearly tells AI crawlers which parts of your site to use. Think of it as a welcome mat for AI systems.

Improve your page speed.

AI bots prioritize fast servers (and let’s face it, users want fast websites too). Aim for a TTFB (Time to First Byte) of under 200ms to ensure your content is crawled frequently and updated quickly. Use HubSpot to check your website speedand then try these ways to improve your page loading speed.

Fix crawling errors.

Broken pages (404s), redirect chains, and invalid sitemaps can also reduce crawl budget. So keep your robots.txt file error-free. Google Search Console is great for detecting technical errors that prevent both Google and AI crawlers from reading your content.

Make sure Bing indexes you.

Google is still the top search engine, but ChatGPT search is based on Bing. If you are not indexed on Bing, you may not appear in ChatGPT search results. Set up Bing Webmaster Tools and submit your sitemap.

2. Lead with a response-ready (or response-ready) structure.

AI systems do not read content the same way humans do. They look for easy-to-extract answers to users’ questions and intent. If your page doesn’t make these answers obvious, the AI ​​will jump to a page that does.

Responsive content starts with a direct answer. And that’s not a suggestion – it’s the most reliable structure tactic for AI citations. Let’s go into more detail.

• Use question-based headings (H2s and H3s). Structure sections around the natural language questions your audience types into AI search. Consider: “How can I…” and “What is…”
• Lead with the answer. Don’t bury answers to questions three paragraphs down. Formulate it clearly in 1-3 sentences and in plain text. Aim for 75-150 words.
• Use short sentences. AI systems prefer content written for human understanding. Long, complex sentences are poorly paraphrased or skipped entirely.
• SBack it up with facts. Then add data, examples, or context to support the point.
• Write for the query, not the topic. AI search is conversational search. Your content must reflect the way real people frame questions, not the way marketers write about topics.

TL;DR: Whatever your headline promises, deliver on it immediately. Don’t make the reader comb through the context before getting the answer.

Example header: “How does content marketing increase sales?”

STRUCTURE type	EXAMPLE
Led before the answer	“In today’s competitive digital landscape, brands are increasingly looking for ways to connect with their audiences in more meaningful ways. Content marketing has become one of the most talked-about approaches…”
Guided by the answer	“Content marketing increases sales by attracting visitors with high purchase intent by searching them and converting them with useful content before they ever talk to sales. Companies that blog consistently generate 67% more leads per month than companies that don’t blog.”

Pro tip: Use HubSpot Content Hub’s AI writing tools to restructure existing blog posts into a reply-first format. Paste your section into the AI ​​editor with the prompt: “Rewrite this so that it results in a direct two-sentence answer to (question).” It takes minutes per section.

Depending on the nature of your page or section, you may also want to use schema markup in your page structure or, more specifically, FAQ schema. More on this in our next section.

3. Use structured data on your pages.

Structured data or Schema markup is one of the most effective ways to translate and communicate the value of your content to AI. The schema explicitly describes the meaning of your content. Without it, AI systems have to guess based solely on what is visible on the page, and let’s face it: clarity isn’t every brand’s strong suit.

But that doesn’t make the scheme a magic wand for AI search.

Three important things to keep in mind:

• It is only confirmed that Schema increases your potential for Google AI overviews. The impact on ChatGPT, Perplexity and Gemini is still unclear.
• Schema markup has no direct impact on rankings. Google’s Search Central documentation specifically states this that changes to structured data “have no impact on the ranking of pages”. But it significantly improves the way AI systems understand and extract your content.
• For ChatGPT and Perplexity, the most important thing is the visible formatting of questions and answers on the page. These LLMs read your JSON-LD as raw text. Your schema signals your intent to Google’s Knowledge Graph, while ChatGPT and Perplexity directly extract the visible content structure.

There are different types of schema markups, but here are the ones that are most likely to improve AI search performance and are applicable to most businesses.

Always use when implementing JSON-LD format. It’s cleanly separated from your HTML, making it easy for AI crawlers to parse and is expressly recommended by Google. Then validate your schema with Google’s rich results test and fix any errors before publishing.

Data and comparison tables also help. Like schemas, tables organize your data in an easy-to-understand way. If your content compares options, displays data, or lists features, put it in a table.

4. Organize your content into pillar pages and clusters.

Topic clusters build topical authority. AI systems use current authority signals to decide which sources to trust on a given topic, and you want your company or brand to be among them.

A website that covers a topic in depth (e.g. with a pillar page and supporting clustered content) signals expertise that a single blog post cannot.

Fan-out is why this is even more important now. Fan-out is the process by which an AI system takes a user query and splits it into multiple related subqueries before generating a response.

For example, if someone asks ChatGPT: “What is the best CRM for a small sales team?”

The AI ​​not only searches for that exact phrase, but expands it to:

• “CRM software comparison for small businesses”
• “Best CRM for sales teams under 20 people”
• “HubSpot vs. Salesforce for small teams”
• “affordable CRM with pipeline tracking”

This is important because it means that your content can still be cited even if you don’t rank on the first search query, as long as you cover the subtopics on your cluster pages well. The subtopics show that you are studying a topic in depth. They don’t just scratch the surface.

The internal connections created by clusters are also essential. When you link from a cluster page to your column and vice versa, you create a semantic web that AI systems can follow. It shows them which content on your website is most authoritative on a particular topic.

Learn how to get started with pillar pages.

Pro tip: Use HubSpot’s SEO tool to identify content gaps in your cluster. It maps your existing content to topic themes and shows you which subtopics are missing – so you know exactly what to create next instead of guessing.

5. Follow Google’s EEAT framework.

EEAT (Experience, Expertise, Authority and Trustworthiness) is no longer just a Google quality signal. It is an AI quote filter. But EEAT is not about the writing style, but about evidence. AI systems look for signals that the content comes from a real, credible person with real experience.

Add the following to your website:

• Author biographies with references. Make it easy for AI to check who wrote the content and whether they actually know what they are talking about. Include their name, job title, years of experience, a photo, and links to published work.
• First person experience. Anecdotes from real practitioners trump general advice. However, use phrases like “I tested this” or “In my experience…” if you have direct experience.
• Data citations. Link to reliable primary sources. That’s a big quality signal.
• Original research. There is no substitute for proprietary data and survey results. AI systems must cite the original source. Original research is the #1 content type to get AI citations.

6. Optimize for external authority.

On-site content will only get you so far. Think of it like someone telling you they’re the best chef in the country. They certainly wouldn’t just take their word for it; You want to confirm this with third parties. Authority works the same way with AI systems.

Brands are 6.5 times more likely to be cited AI through third-party sources than through their own domains, according to Airops 2025.

To Build off-site authority:

• Earn mentions in reputable publications. Guest posts, expert quotes, positive mentions and PR placements in renowned industry publications demonstrate your expertise in your field.
• Maintain consistent brand data. Inconsistent contact and brand information confuses AI and buyers alike. Make sure your name, address, phone number, product details and descriptions match across all your websites (LinkedIn, G2, Crunchbase, Wikipedia and business directories).
• Monitor AI misrepresentations. Regularly run branded queries in ChatGPT, Perplexity and Google AI. If AI is misrepresenting your brand, prioritize publishing content that displaces the misinformation.
• Get active on Reddit and in communities. Brand mentions in discussions weigh the same as social media mentions.

Pro tip: Create a Wikidata entity for your brand if you don’t already have one. A clean Wikidata entry is one of the quickest EEAT wins for ChatGPT visibility. It gives AI systems a machine-readable source of verified brand facts.

7. Update your content regularly.

The timing of content updates depends on the topic and the speed at which the space moves. Here is a simple framework:

Pro tip: When you update your content, update the publishing date.

AI Overviews and RankBrain favor recently updated content. So a page updated in March 2025 will outperform an identical page last updated in 2022, even if the actual content is similar.

How to track AI search ranking performance

You can’t improve what you don’t measure, but AI citation tracking is really different from traditional rank tracking. Here is the framework I recommend for building a true AI visibility measurement practice.

There are three metrics that are most important for AI visibility:

Metric	What it measures	How to track
Presence or visibility of quotations	Does AI mention your brand/content in responses?	HubSpot AEO, Otterly.AI, Semrush AI Toolkit
share of the vote	How often do you appear in AI responses compared to competitors?	HubSpot AEO Sensor, manual brand queries
AI-related traffic quality	Do AI-based visitors convert?	GA4 session source, CRM attribution

Of course, for most these are new metrics, so you probably don’t have baseline data to set goals or evaluate performance.

To set your baseline:

• Run 20-30 target queries in ChatGPT, Perplexity, Google AI and Claude. Detect whether your brand is being cited. You can also take a snapshot of your performance with HubSpot’s free AEO grader.
• Track your AI related sessions in Google Analytics 4 under Source/Medium. Look for recommendations from ChatGPT, Perplexity, and other AI platforms.
• Compare your citation rate to your top three competitors for the same searches.

From there, set a 90-day goal. AI search optimization typically starts producing results within 2-3 months of implementation.

What we like: HubSpot AEO Tracks your AI citation presence and brand mentions across all major AI platforms, provides you with a readiness snapshot using the AEO Grader, and compares your performance to industry trends using the AEO Sensor. It connects AI visibility directly to your CRM data so you can see which AI-recommended visitors actually convert. We will go into this in more detail in a few sections.

How to start optimizing AI search rankings: A 3-month plan

Start with what moves the needle fastest and sets the foundation for everything else. Here are the prioritized steps I recommend for this quarter:

1. Technical Access (Week 1). Check robots.txt, fix blocked AI crawlers and confirm Bing indexing. This is a must for everything else.
2. AEO baseline (week 2). Run HubSpot’s free AEO Grader and target queries in ChatGPT, Perplexity, and Google AI. Document your current citation rate.
3. Schema implementation (week 2-3). Add JSON-LD Article and FAQPage schema to your top 10 most visited pages.
4. Reply First Update (Weeks 3-4). Rewrite the introductions of your top 20 pillar pages so that they begin with direct answers in 1-3 sentences.
5. Content Cluster Audit (Month 2). Organize your existing content into topic clusters. Identify the biggest gaps and close them.
6. EEAT and external authority (ongoing). Create a rhythm of original research, expert guest posts, content updates, and brand mention monitoring.

→ See how HubSpot connects AI citation tracking to the CRM pipeline – Get a demo

How to rank in AI search results with HubSpot solutions

HubSpot has built AI visibility and AEO tools directly into our platform, so you can implement the majority of this program without adding new software.

Here’s how HubSpot’s tools map to each part of the AI ​​search ranking program:

HubSpot tool	What it does for AI search
HubSpot AEO	Tracks AI citation presence, brand mentions and visibility across all platforms. Connects AI referrals to the CRM pipeline.
AEO grader	Gives you an AI readiness score for each page or domain. Identifies structure, schema, and content issues with recommendations.
AEO sensor	Tracks industry benchmarks and AI quotes volatility. Shows you how your share of AI votes compares to competitors.
Content Hub	Manages topic clusters, pillar pages, and internal linking at scale. AI writing tools help restructure content for a response format.
Breeze AI	Automates content refresh suggestions, identifies outdated statistics, and recommends AEO improvements across your content library.
Smart CRM	Matches AI-related sessions to contacts and deals so you can see which AI channels are actually driving sales.

The real benefit of managing AI search visibility within HubSpot is attribution. Most teams track AI citations as a vanity metric, such as “We were featured in 40 AI responses this month.”

HubSpot’s intelligent CRM connects these quotes to real results like meetings, contacts, deals and revenue. This is the difference between reporting visibility and demonstrating business impact.

Start with that AEO grader. Run through your top 5 pillar pages before you do anything else. It shows you exactly where the biggest gaps are so you can prioritize your next steps.

AI Search Ranking FAQs

How long does it take for AI citations to improve?

Brands with established topic authority and active content distribution may see citations improve within weeks of a major content update. Patience plus consistency is the formula.

Do I need separate strategies for Google AI Overviews and ChatGPT?

Yes, but there is a lot of overlap between the basic principles. A universal foundation of technical access, response-first structure, schema and EEAT supports all platforms simultaneously.

The biggest differences:

• Google AI Overviews favor EEAT signals, mobile optimization and freshness. Organic ranking still helps, but is not necessary.
• ChatGPT integrates Bing indexing and favors Reddit and Wikipedia in its training data. An active presence in the community is more important here.
• Perplexity prefers conversational, experience-based content with practical examples and cited sources.

What happens if AI misrepresents my brand?

Unfortunately, this happens more often than most brands realize. The solution is to be proactive, not reactive. Publish accurate, authoritative content that displaces misinformation.

Make sure your brand facts are consistent across all platforms (e.g. website, LinkedIn, G2, Wikipedia, Crunchbase). AI systems learn from the most authoritative sources available. So if you own these sources, you own the narrative. In critical situations, you can also think about blocking AI crawlers.

Should I block AI crawlers?

In most cases no. If AI can’t crawl your website, it can’t cite it. The exception is if you have proprietary content or have significant concerns about server costs. You can selectively block training crawlers (like GPTBot) while allowing retrieval crawlers (like OAI-SearchBot and PerplexityBot) that enable real-time AI search answers.

What is the best way to track AI citations over time?

Create a simple tracking cadence with tools like HubSpot AEO. That could look like this:

• Weekly Manual Checks: Run your top 10 queries on top AI platforms.
• Monthly Tool Review: Use HubSpot AEO or Semrush AI Toolkit to track citation trends at scale.
• Quarterly attribution analysis: Review AI-powered sessions in GA4 and link them to conversion events in your CRM.

AI citation rates fluctuate. Don’t panic about week-to-week fluctuations. Pay attention to the 90 day trend.

Increase in AI search rankings.

AI search is not the future; It is our current reality. AI Overviews, ChatGPT, Perplexity, Gemini – these are the platforms where your audience can find answers, usually without clicking on your website.

The marketers who figure this out first will build lasting AI visibility advantages that compound over time, while others spend the next two years catching up.

You have the playbook. Now run with it.