AI SEO: Rank Your Business in Perplexity, ChatGPT & Gemini [2025 Guide]

25 Feb 2025 Last updated: 25 Feb 2025 By Agile Agency

AI Search is Changing the Game—Is Your Business Ready?

AI SEO: How to Rank in Perplexity, ChatGPT & Gemini [2025 Guide]

AI-powered search engines like Perplexity, ChatGPT, and Gemini are reshaping online visibility. Unlike Google, they don’t just rank websites—they curate trusted sources. If your business isn’t optimised for AI search, you could be invisible in the next wave of digital discovery.

Let’s break down how these search engines work and, more importantly, what you can do to ensure your business stands out in Generative AI SEO.

How AI Search Engines Select Their Sources

Perplexity AI

Perplexity AI doesn’t index the entire web like Google. Instead, it curates sources based on:

1. Trustworthiness

Perplexity uses a curated set of reputable sources rather than relying on an expansive index like Google’s. This approach ensures that the information provided comes from trusted domains across various industries.

2. Recency

The platform emphasises up-to-date information, particularly for queries requiring fresh results. This means that regularly updated content is more likely to be featured in search results.

3. Relevance

Perplexity employs advanced natural language processing to understand the context and intent behind queries, delivering more relevant answers. This allows it to prioritise content that directly addresses the user’s question.

4. Authority

The platform favours sources that demonstrate domain expertise through consistent, high-quality content in specific niches.

5. Multi-format content

Perplexity shows a preference for sources that offer both textual and video content. It often references YouTube videos alongside articles, particularly favouring shorter articles with embedded videos.

6. Academic and specialised sources

For certain queries, Perplexity may prioritise academic publications or industry-specific resources, especially when using the Pro Search feature.

7. Real-time web sourcing

The platform ensures users receive current information by sourcing data from the web in real-time.

8. User-centric approach

Unlike traditional search engines that might prioritise sponsored content, Perplexity focuses on guiding users through specific questions to refine and tailor results.

ChatGPT

When performing a web search, ChatGPT prioritises search results based on several key factors to ensure accuracy, relevance, and reliability. Here’s how it works:

1. Relevance to the query

Search results are ranked based on how closely they match the keywords and intent of the query. More relevant pages appear higher in the results.

2. Credibility of the source

Authoritative and well-established websites (such as government sites, academic institutions, and reputable news sources) are prioritised over less reliable or unknown sources.

3. Freshness of information

Recent and up-to-date content is generally favoured, especially for topics that change frequently, such as news, technology, and current events.

4. User engagement and popularity

Websites that are widely cited, referenced, or visited may rank higher, as they are often more trustworthy or widely accepted as accurate.

5. Content quality

Well-written, in-depth, and fact-checked articles are preferred over low-quality or poorly sourced content.

6. Lack of bias and misinformation

ChatGPT avoids prioritising sources known for spreading misinformation, conspiracy theories, or extreme biases.

7. Diversity of sources

Where possible, ChatGPT presents a range of perspectives rather than relying on a single source, especially for subjective or debated topics.

When Gemini generates search results, prioritising websites is a multifaceted process that combines traditional search ranking signals with AI-powered understanding and synthesis. It is not just about finding the most relevant page but also the most helpful and trustworthy information.

Traditional ranking signals include:

1. Relevance to the query

Gemini still considers how well a webpage’s content matches the user’s query. However, it goes beyond keyword matching to understand the meaning and intent behind the query. This semantic understanding allows it to identify relevant pages even if they do not use the exact keywords.

2. Authority and trustworthiness

Gemini prioritises reputable sources. This includes traditional measures such as domain authority, backlinks from trusted sites, and author expertise. However, it can also assess trustworthiness more holistically, potentially identifying biased or unreliable information by cross-referencing multiple sources.

3. Content quality

High-quality, original content that provides value is essential. Gemini can identify thin content, duplicate content, and keyword stuffing, penalising sites that use these tactics. It favours well-written, informative, comprehensive, and up-to-date content.

4. User experience (UX)

A positive user experience remains important. Websites that are easy to navigate, mobile-friendly, load quickly, and offer a good overall experience are more likely to be considered.

AI-specific factors:

1. Data Source Quality

Gemini’s training data is its foundation. It’s trained on a massive dataset, and the quality of that data directly impacts how well it can judge the quality of information on the web. It prioritises pages that align with the high-quality data it was trained on.

2. Contextual Understanding

This is a key advantage. Gemini doesn’t just look for keywords; it understands the meaning and intent behind your query. This allows it to prioritise web pages that are truly relevant, even if they don’t use the exact words you used.

3. Summarisation & Synthesis

Gemini can pull information from multiple web pages and combine it into a concise answer. So, it prioritises pages that contribute valuable pieces to that overall understanding, even if those pages aren’t necessarily the “top” result in a traditional sense.

4. Fact-Checking & Verification

Gemini is designed to be accurate. It cross-references information to make sure it’s reliable. This means it prioritises web pages that are factually sound and can be verified from multiple sources.

5. Prompt Engineering

How you ask your question matters. Gemini can understand complex and nuanced prompts, so it prioritises pages that provide information relevant to the specific way you phrased your query.

Now, the big question…

As AI SEO optimisation becomes crucial for visibility on platforms like Perplexity, ChatGPT, and Gemini, businesses must adapt their strategies to align with AI-driven ranking factors. These factors prioritise content quality, trustworthiness, contextual relevance, and multi-format content over traditional SEO metrics. Here’s how your business can optimise for AI-driven search results:

1. Establish Unquestionable Authority in Your Niche

Image: Establish Unquestionable Authority in Your Niche
  • Publish Expert-Driven Content: AI favours businesses that demonstrate clear expertise in their industry. Regularly publish high-quality, niche-specific content with insights from qualified professionals.
  • Cite Reliable Sources: Reference authoritative data sources to enhance credibility.
  • Leverage Thought Leadership: Engage in guest posts, webinars, and collaborations with industry experts.
  • Invest in Ethical Link Building: Secure backlinks from reputable sources while avoiding black-hat SEO tactics.
  • Work on Domain Authority & Author Expertise: Build a strong online reputation through trusted backlinks and recognised authorship.

Read also: Building Trust Online: Key Strategies for Professional Service Providers

2. Prioritise Comprehensive, AI-Friendly Content

Image: Prioritise Comprehensive, AI-Friendly Content
  • Optimise for Answer-Based Queries: AI search engines prioritise content that provides direct, concise, and clear answers to user questions.
  • Structure Content for AI Readability: Use headings, bullet points, and structured formatting to improve AI comprehension.
  • Incorporate Multi-Format Content: AI search engines, including Gemini and Perplexity, favour articles with embedded videos, infographics, and images—particularly shorter articles with YouTube videos.
  • Maintain a Regular Content Update Cycle: AI prioritises fresh content, so update your website frequently, especially if your business covers news, technology, or events.
  • Prioritise Quality Over Quantity: High-quality, well-researched content will always outperform keyword-stuffed or low-value articles.

Read also: Free AI SEO Tools: The Ultimate Guide for 2025

3. Implement Technical SEO and AI-Specific Optimisation

Image: Technical SEO Services
  • Use Schema Markup: Structured data helps AI better understand and rank your content.
  • Improve Site Speed & Mobile Optimisation: A fast, mobile-friendly, and easy-to-navigate website is crucial for AI search rankings and user experience.
  • Optimise for Featured Snippets & AI Summaries: AI search engines, including ChatGPT and Gemini, favour clear, structured answers with key takeaways.
  • Ensure Content is Fact-Checked & Verified: AI models penalise misinformation, so verify all facts before publishing.

Read also: Technical SEO Optimisation: A Complete Guide for Small Businesses

4. Engage in Proactive AI Search Marketing

Image: Artificial Intelligence Digital marketing Services
  • Develop AI-Optimised PR Strategies: AI-driven search engines consider press releases and media coverage—get featured in high-authority publications.
  • Encourage Brand Mentions in Trusted Sources: Even without direct links, brand mentions in reputable publications signal authority.
  • Create and Distribute AI-Optimised PR: Ensure your press releases and media content are structured for AI search engines.
  • Monitor & Adapt to AI Algorithm Changes: Stay updated on AI search trends and adjust your strategy accordingly.

Read also: AI Marketing Tools: 8 Strategies for Professional Services Businesses

5. Enhance User Experience & Engagement Metrics

Image: Key-Elements-of-User-Experience
  • Create a Seamless User Journey: A well-structured, easy-to-navigate website with clear CTAs improves engagement and reduces bounce rates.
  • Boost On-Page Engagement: AI recognises time spent on pages, interaction rates, and engagement signals—make content interactive and valuable.
  • Avoid Clickbait & Misleading Content: AI search engines evaluate content authenticity—misleading titles or low-quality content can negatively impact visibility.

Read also: How User Experience Affects SEO

The Bottom Line

AI search engines are transforming how businesses gain online visibility. If you’re still relying solely on traditional SEO stra, you’re already behind.

By focusing on authority, high-quality content, and AI SEO strategies, your business can stay ahead in the AI-driven search revolution.

Want to Dominate AI-Driven Search Results?

The future of search is here—are you ready to adapt and stay ahead? Start implementing these strategies today and position your business as a leader in the AI search era.

At Agile, we specialise in helping businesses like yours navigate the evolving AI search landscape with data-driven strategies that deliver real results. Let’s future-proof your digital presence—get in touch today for a FREE consultation!

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Agile is an independent Digital Marketing Agency headquartered in London, specialising in web design and search engine optimisation. Our proficiency is underscored by several HubSpot Certifications, and we take pride in being recognised as a 2023 Global Award Winner for SEO by Clutch. At the heart of our success lies a team that seamlessly navigates the intersection of technology and marketing, ensuring innovative and impactful solutions for our clients.