How to Rank in AI Search and LLMs

AI is changing how people search online. People are no longer looking for information through traditional search engines alone. They are using large language models (LLMs) like ChatGPT, Gemini, and Google’s AI Mode to do the searching for them.

As of February 2026, ChatGPT had 900 million weekly active users worldwide, 67.7 million of which are in the U.S.¹ Google CEO Sundar Pichai reports that their Gemini app has grown to over 750 million monthly active users.² And as of May 19, 2026, Google has also redesigned their main search bar to feature an integrated AI Mode powered by their Gemini large language model.³

Why we care: LLMs are trained to find the most reference-worthy content from multiple web sources and synthesize the information into a single, cohesive answer. This means ranking in traditional search results is now only half of the battle. You also need to be a trusted knowledge source for AI.

Through our work in AI search visibility, the West County Net team has identified key characteristics of content that ranks in LLMs. In this guide, we explain how AI search and LLMs choose which websites to cite, and how to future-proof your SEO strategy and rank in ChatGPT, Gemini, Google AI overviews, and more.

How Do Large Language Models Work?

AI search tools like ChatGPT, Gemini, and Claude are all large-language models (LLMs) that use complex algorithms to understand, process, and generate human-like text. Most of today’s large language models work by pulling information from both their own built-in training data and from external web sources.

In other words, LLMs use two primary knowledge sources to generate answers:

• Training Data: This is pre-existing, static knowledge baked into the AI model during training.
• Real-Time Data: This is knowledge retrieved from the web that the AI model wasn’t trained on, or that may have changed since its training.

Below, we explore the importance of understanding how both LLM knowledge sources work:

LLM Training Data (Pre-Existing Knowledge)

LLMs like ChatGPT and Gemini are trained using massive amounts of diverse datasets. This data includes literally billions of webpages, articles, books, documentation, and other publicly available and licensed information.

Training data largely shapes all the information that the AI model inherently “knows.” This means if you ask about a topic an LLM was trained on, it uses its pre-existing knowledge to generate a response from memory.

But every major LLM model also has a knowledge cutoff date:

LLM Knowledge Cutoff Dates

All large language models have a knowledge cutoff date, meaning a point in time after which they have no built-in information.

For the newest ChatGPT model, GPT-5.5, the knowledge cutoff date is Dec 1, 2025.⁴ For the newest Gemini model, Gemini 3.5 Flash, the knowledge cutoff date is January 2026.⁵

Any information published after these cutoff dates will require the LLM to switch from training data (internal memory) to real-time data retrieval (live web searching) to generate an answer.

LLM Real-Time Data Retrieval (Knowledge Retrieved for the Web)

Instead of relying solely on static training data, most major LLM platforms use web crawlers to actively search the internet to pull in accurate, up-to-date information. When a user asks a question that requires more current or specific information, the AI model can scan the web and blend key points from multiple sources into a single, cohesive answer.

Real-time web searches help reduce errors (AI hallucinations) and ensure users get the most up-to-date information available.

Why we care: This means if your content is current, authoritative, and accessible to AI crawlers, it has a greater chance of being summarized or cited by LLMs.

How Do LLMs Choose Web Sources?

Many large language models generate answers using both internal training data and external content retrieved from multiple web sources. When external content is used, LMMs choose web sources based on three core factors: usefulness, clarity, and trust.

Below, we take a closer look at the key factors that influence which content gets selected, summarized, and cited in AI search:

Usefulness (Explicit Relevance)

• Search Alignment: First and foremost, the content must directly address the specific goal of the user’s search to be surfaced by AI.
• No Filler: LLMs favor direct answers written in simple, clear language and not buried under filler content or fluff.
• Clear Facts: Specific dates, definitions, explanations, facts, numbers, statistics, etc., all need to be stated and cited clearly.

Clarity (Extractability)

• Machine-Readable: AI models need to be able to crawl and extract information from content easily and efficiently.
• Upfront Answers: LLMs heavily favor content that starts with a direct answer or a clear statement in the first one or two sentences.
• Clear Organization: To make it easier for AI to extract information, webpages need to be organized using clear and descriptive section headers that follow a logical hierarchy (ex: H1 -> H2 -> H3).
• Clean Formatting: Presenting information in bullet points, numbered steps, tables, etc., makes content easier for LLMs to extract and summarize.

Trust (Authority & Freshness)

• EEAT Signals: LLMs favor content backed by real-world expertise, verifiable supporting evidence, and transparent data sourcing.
• Topical Authority: AI models treat websites that regularly publish high-quality content around a specific topic as reliable external knowledge sources.
• Up-to-Date Information: Because outdated facts pose a hallucination risk, LLMs heavily weigh content freshness and favor recently published or updated sources.

LLMs don’t choose web sources to summarize or cite randomly. If you want visibility in AI search, your content needs to be genuinely useful, easy to read, and trustworthy, at a bare minimum.

How to Rank in AI Search and LLMs

To ‘rank’ in AI search means your content gets summarized or cited by large language models like ChatGPT, Gemini, Claude, and Google AI Overviews. This means, in addition to competing for the #1 spot in search results, you’re now also competing to be an external knowledge source for LLMs.

At West County Net, when we optimize client websites for search visibility, we know that the content that performs best in LLMs will:

• Rank well in traditional search results
• Provide direct answers to real-world questions
• Show authentic expertise and supporting citations
• Be fresh, up to date, and accurate
• Be easy for AI bots to crawl and understand

Below, we take a closer look at our top strategies to rank in AI search and LMMs, all of which we’ve personally tested and implemented to drive success for West County Net clients:

1. Make Sure You Rank in Traditional Search Results

Having a strong SEO infrastructure is the single most critical asset you own for capturing AI search visibility today. LLMs like ChatGPT, Gemini, and AI Overviews don’t surface content randomly. They rely on many of the same SEO ranking factors that traditional search engines use to discover, evaluate, and trust your content.

Google has even confirmed this in their guide to optimizing websites for AI search, stating:

“The best practices for SEO continue to be relevant because our generative AI features on Google Search are rooted in our core Search ranking and quality systems.” ⁶

The top SEO ranking factors for AI search include:

• Content that is high-quality, original, and up to date
• Aligning with what and why your audience is searching
• Demonstrating strong EEAT signals
• Good technical site performance
• Positive user experience and engagement

When your site performs well in traditional search, you create the visibility and trust LMMs need to find, cite, or summarize content in AI-generated answers.

2. Create Comprehensive Content that Answers Real-World Questions

AI search models prioritize content that fully and directly answers users’ questions. If you want your content to appear in AI-generated responses, it needs to be well-written, comprehensive, and genuinely helpful overall. Thin content that only scratches the surface of a topic is far less likely to be cited or summarized by LLMs.

Content with strong AI visibility will:

• Provide clear and complete answers upfront (don’t bury the lead)
• Anticipate and answer any possible follow-up questions
• Give concrete explanations, definitions, and examples
• Define concepts clearly and include meaningful context
• Link to related content that covers even more aspects of a subject
• Cut out filler, fluff, preamble, and unnecessary marketing language

The goal is to become a go-to knowledge source for both LLMs and customers by publishing content that is more complete, useful, and easy to understand.

3. Strengthen Your Credibility Signals

Building trust and credibility online is a core part of ranking in both traditional search and AI-driven search experiences. One of the best ways to strengthen credibility signals is to clearly demonstrate expertise and transparency throughout your website.

You need to make it easy for users and AI crawlers to understand who you are, what you do, and why your content can be trusted.

Key credibility signals on a website include:

• Detailed About Us pages, team bios, and author bios, all with relevant experience or credentials
• Detailed portfolios, positive reviews, testimonials, and case studies
• Topical authority around subject matter relevant to your industry
• Consistently accurate, well-researched, and up-to-date content
• Original research, firsthand experience, and expert insight
• Clearly marked citations from trusted sources and industry experts
• Easy to find and accurate contact information and business details

The same E-E-A-T signals that matter to Google matter to LLMs. AI search models actively favor websites that consistently demonstrate experience, expertise, authoritativeness, and trustworthiness.

The more credibility signals you provide, the more you build the authority that AI models require to trust you as a reliable external knowledge source.

4. Keep Content Updated and Accurate

AI search and LLMs heavily favor content that is current, accurate, and actively maintained. Keeping your content updated shows AI crawlers that your website is an active and reliable source of information.

To maximize your website’s visibility in AI search results, you need to routinely update information that shifts over time, relies on numbers, or guides user decisions. Even for evergreen content, routine updates and refreshes are essential.

Content that commonly needs to be updated on a website includes:

• Statistics, research, and industry data points
• Images, screenshots, videos, and infographics
• Product information, pricing, and stock availability
• Service details, pricing, and service areas
• Current contact information and operational hours
• Internal links and external source links
• FAQs based on current user questions
• About Us info and team bios to include new hires, milestones, awards, achievements, etc.

If you want long-term visibility in AI search, you need to treat content as a long-term asset. Sites that regularly audit and refresh blog posts and key pages help build authority and signal to AI that the information is trustworthy.

5. Ensure AI Crawlability

Before any AI model can read, summarize, or cite your content, its web crawlers need to be able to find and understand your site. Even the best content ever written is invisible to LLMs if it can’t find, access, and crawl it.

To ensure AI crawlability on your website, focus on these technical best practices:

• Maintain a clear site structure with logical internal linking
• Ensure pages load quickly and function properly across devices
• Use descriptive headings, alt-text, and metadata
• Fix crawl errors, broken links, redirect issues, and orphaned pages
• Keep URLs clean, readable, and consistent
• Use structured data to help AI crawlers understand your site
• Make sure your XML sitemap is accurate and up to date

A technically sound, fast-loading, and responsive website is a baseline necessity for visibility online. A strong technical foundation allows LLMs to easily discover, crawl, understand, and trust your content, so it is more likely to be surfaced in AI-generated responses.

Future-Proof Your SEO Strategy with West County Net

At West County Net, we’ve been helping businesses thrive online since 1994. We’ve navigated every major shift in search, from the early web directory era to algorithm-driven rankings to today’s LLMs and AI-powered results. With decades of experience and a team of industry experts, we’ve consistently adapted to change while driving measurable growth for our clients.

If you’re not ranking in search, you’re definitely not getting cited by AI. Let’s fix that.

Connect with an SEO expert at West County Net to learn how we can keep your business visible, relevant, and thriving online.