How to Get Your SaaS Ranked on ChatGPT, Perplexity, Claude, and Gemini

Published by: Amit Kakkar
Published on: March 6, 2025
Last updated on: March 6, 2025

Last Updated on March 6, 2025 by Amit Kakkar

13 million people use generative AI for online search purposes instead of Google. This number is going to reach 90 million by 2027. 

AI is here, and it’s taking over the traditional SEO that we know of. Do you know that along with SEO, websites get over 10% of their traffic from AI search engines like Perplexity, ChatGPT, Gemini, and others?

If you are a SaaS brand in 2025, you need to be where your users are. When your target audience is on AI search tools finding solutions to their pain points, you need these tools to not only offer answers but also highlight your brand. So, when the user makes up his mind to delve deeper and make a purchase, the AI search engine leads him to your website.

How will you make Perplexity, Gemini, or any other AI search tool feature your website?

That’s what this blog will guide you through. We are here to help you understand the ranking factors and strategies you should be employing to rank your SaaS website on ChatGPT, Perplexity, and Gemini.

Let’s get started.

What Is LLM Optimization?

LLM optimization refers to the process of optimizing your website to enhance its visibility on AI search engines like Perplexity, Claude, ChatGPT, DeepSeek, and Gemini. 

It is the strategies you implement to establish a stronger and authoritative brand that caters to user pain points and offers reliable solutions. This eventually gets you attention from AI search tools and lands you links in their sources or featured sections. 

Similar to Search Engine Optimization (SEO) for Google, we have Generative Engine Optimization (GEO) for AI tools. The similarities between the two are that you have to:

• Build stunning and responsive websites
• Create user-relevant, quality, and original content
• Cater to user pain points and offer ideal solutions
• Establish an authoritative brand presence
• Create different forms of content like blogs, ebooks, social media content, etc.
• Keep your content up-to-date and structured
• Collect and showcase customer reviews to build trust
• Ensure your website is fast, crawlable, and visually appealing

The only difference is that in GEO or LLM optimization, we don’t run after keywords and backlinks as crazily as we do in SEO. 

For example, to optimize your content for AI search engines, you don’t have to forcibly include the main keyword in subheadings, the first 150 words, or the conclusion. Also, you don’t necessarily need to have a fixed keyword density. 

All you require to rank your content on Perplexity or Gemini is to write relevant and quality content that answers user pain points clearly and comprehensively. Your content should be properly structured with subsections, bullet points, and FAQs. Plus, your website authority and brand image play a deciding factor in the Generative rankings.

Why Is LLM Optimization Important For Your SaaS Brand?

• Users are now shifting from Google search to AI search as they get quick summarized answers with reliable sources. 
• Plus, they save time finding the right answer to their problem.
• On Google, users will have to navigate at least 5 top websites and scroll through their content to get brief information about their topic of interest. 
• On AI search engines like ChatGPT or Perplexity, it takes a few seconds to get summarized information. 
• If the user wants to delve deeper, he can ask more questions or refer to the sources AI used to produce the answer.
• If your website is in the featured section on AI search tools, there is a high probability that users will go to your website and even make purchases.
• The dependency on AI search tools is increasing every day, and it could serve as a fantastic platform for your SaaS brand to be visible to your target audience. 
• Users of AI search tools often have specific, high-intent queries (e.g., “best SaaS tools for project management”). By optimizing for these queries, you can attract highly targeted traffic to your website.
• Being prominently featured in AI-generated responses enhances your brand’s credibility and authority in your industry.

Optimizing your SaaS website for AI search engines and tools like ChatGPT and Perplexity is no longer optional—it’s a strategic necessity. By aligning your content and technical SEO with the way AI interprets and surfaces information, you can increase visibility, attract targeted traffic, and future-proof your brand in an AI-driven search landscape.

Tips for Optimizing for LLMs and Generative AI

Ranking your SaaS website on ChatGPT, Perplexity, Gemini, and other AI search tools is similar to SEO ranking strategies. But with a twist. 

Here are a few tips to rank your SaaS brand on AI search engines. 

1. Website Crawlability

AI tools pick up content from top websites and generate summarized answers. If LLMs do not have access to your website, they cannot share your content, and thus, your website’s visibility in AI searches will be affected.

To ensure that LLM has accessibility to your website, ensure that your website is crawable. Also, remove any AI blockers if placed and carefully index your website on Google and Bing search engines. 

2. Focus On SEO

Websites that rank well on Google and Bing search engines are more likely to be picked up by AI search tools. 

So, always focus on improving on-page, off-page, and technical SEO aspects of your website. It is found that Perplexity and ChatGPT most of the time cite website links of pages that rank on 1st and 2nd pages on Google or Bing search results. 

Perplexity and Gemini are connected to Google search. Whereas ChatGPT and Claude are connected to Bing. So you must index your website on both search engines and optimize for higher ranking on both.

Note: The search features of AI tools are connected to the search engines. So, traditional SEO is not dead. You will still have to rank organically on Google and Bing to get discovered by AI search tools.  

3. Use Schema Markup

Entities are people, places, or things that you define in a knowledge graph through connected relationships. Knowledge Graphs help LLMs and Google understand your queries about the world by combining them with other processes.

While the technical details are complex, the key takeaway is that you can use Structured Data Markup on your website to help LLMs better understand who you are by linking your identities across the internet.

For example, Google relies on Organizational schema to build its Knowledge Graph. By adding this markup to your homepage, you can help both Google and LLMs connect your brand identity across the web.

4. Optimize Your Content For Semantic Search

The trick to ranking on AI search tools is not the keywords but the intent of the content. Instead of tracking exact keywords, LLMs focus on the context and relevancy of the content. 

The key is to create high-quality and context-rich content that aligns with how AI interprets and answers queries. Another trick is to focus on long-tail keywords in your content. This is because AI tools excel at understanding long-tail queries. Optimizing for these keywords helps you capture niche audiences that traditional SEO might miss.

Note: Inserting keywords in your content will not rank your SaaS website on ChatGPT or Perplexity. You will need EEAT content for your SaaS website that caters to your specific users’ queries. 

How to Rank on ChatGPT, Perplexity, Claude, and Gemini – Step-by-Step Guide

In the age of AI, you not only need content to be SEO-friendly but also AI-friendly. Your content should be written, formatted, and optimized in a way that is easier for LLMs to crawl, process, share, and feature.

Here is a step-by-step guide to help you rank your SaaS website on ChatGPT, Perplexity, Claude, and Gemini.

1. Structure Content for AI Readability

Why? 

LLMs extract structured and factual information rather than reading content like humans.

Best Practices:

• Use short paragraphs for clarity (e.g., Wikipedia-style summaries).
• Format content with bullet points, numbered lists, and FAQs for easier AI extraction.
• Include a Table of Contents with clear H2/H3 headers (e.g., Neil Patel’s blog structure).

Avoid:

• Dense, text-heavy sections—LLMs struggle to extract insights.
• Fluffy intros—AI prioritizes concise, direct answers.
• Overusing jargon—Keep language simple and digestible.

2. Optimize for AI-Driven Search

Why? 

AI tools prioritize structured web data and authoritative sources over traditional browsing.

Best Practices:

• Use AI-friendly, long-tail keywords (e.g., instead of “SEO tips,” try “How does Google’s Gemini rank content?”).
• Implement Schema Markup & metadata (e.g., TechCrunch uses structured data to boost visibility).
• Optimize for Google Featured Snippets—LLMs rely on content ranking in “People Also Ask” (PAA).

Avoid:

• Keyword stuffing—Outdated SEO tactics don’t work with AI.
• Clickbait titles—Misleading headlines are filtered out.
• Thin content—LLMs prioritize well-researched and authoritative content.

3. Get Featured in High-Ranking Articles

Why? 

AI models pull from curated lists rather than standalone articles.

Best Practices:

• Publish guest posts on authority sites (e.g., Ahrefs & SEMrush reference each other, increasing AI citations).
• Get included in industry listicles (e.g., Forbes’s “Top 10 Digital Marketing Experts” often gets cited).
• Gain third-party mentions in “Best Of” lists (e.g., AI startup rankings often appear in AI-generated insights).

Avoid:

• Relying only on your site—AI prefers multiple references.
• Acquiring low-quality backlinks—Spammy sources get filtered.

4. Keep Content Fresh – AI Loves Recent Data

Why? 

LLMs prioritize the latest, most updated sources.

Best Practices:

• Regularly refresh content (e.g., Search Engine Journal updates SEO guides every 6 months).
• Maintain a “Latest Articles” section (e.g., The Verge frequently updates AI coverage).
• Use fresh statistics and research (e.g., Statista’s AI reports are commonly cited).

Avoid:

• Outdated case studies—LLMs deprioritize old data.
• Static evergreen pages—AI favors recently updated content.

5. Build Citations from AI-Friendly Sources

Why? 

LLMs favor content cited in reputable publications.

Best Practices:

• Gain backlinks from top publications (e.g., Business Insider and TechCrunch).
• Actively contribute to Quora & Medium (e.g., Rand Fishkin’s Quora answers get cited often).
• Get Wikipedia mentions (e.g., Elon Musk’s Wikipedia page is frequently referenced).

Avoid:

• Low-authority backlinks—AI filters out spammy sources.
• Paid citations—LLMs prioritize organic references.

7. Boost Social Proof – AI Prefers Popular Content

Why? 

AI models prioritize widely shared, high-engagement content.

Best Practices:

• Foster high-comment blogs & forum discussions (e.g., Active Medium posts appear in AI results).
• Share LinkedIn thought leadership posts (e.g., Chris Walker’s B2B insights are often referenced).
• Engage in Reddit discussions (e.g., AI research threads in r/MachineLearning get cited).

Avoid:

• Content with no engagement—AI deprioritizes inactive pages.
• Fake engagement—AI models detect bot-generated interactions.

Conclusion

To make your content AI-optimized, focus on structured formatting, authoritative sources, fresh updates, and high engagement. By implementing these strategies, you increase the chances of AI models referencing your content, driving more visibility and traffic.

Next Steps:

• Audit your existing content.
• Implement structured formatting and AI-friendly keywords.
• Engage in high-authority collaborations and social proof strategies.

Stay ahead—optimize your content for AI now!

Need help? Get in touch with SEO and GEO experts at Growthner.