How to Get LLMs to Pick You Up: The SEO Audit Strategy for AI...

The way people discover brands is changing. Large language models like ChatGPT, Gemini and Perplexity are now answering questions that users once typed into Google. If your website is not optimised for both search engines and AI systems, you are missing visibility on two fronts. A comprehensive SEO audit is the foundation for getting noticed by both. This guide explains how to prepare your site so that LLMs can find, understand and recommend your content. We will cover the technical essentials, content quality signals and monitoring strategies that matter most.

Why Your SEO Audit Matters for LLM Visibility

LLMs pull information from indexed web content, knowledge bases and structured data. If your site has technical issues, poor content structure or weak authority signals, AI systems are less likely to reference you in their responses.

Running a thorough website audit helps you identify problems that make your content harder to crawl, index and understand. These same issues affect how AI systems evaluate your authority and relevance.

To improve Google rankings and gain LLM visibility simultaneously, you need to focus on several key areas:

Technical health ensures your pages load quickly and are accessible to crawlers. A core web vitals audit checks performance metrics like Largest Contentful Paint, First Input Delay and Cumulative Layout Shift. Pages that perform poorly here often get deprioritised by both search engines and AI training data sources.

Content clarity helps machines understand what your pages are about. Clear headings, logical structure and comprehensive coverage of topics signal expertise. LLMs favour content that answers questions directly and thoroughly.

Authority signals like backlinks, consistent brand mentions and topical depth help establish credibility. When an AI system needs to recommend a resource, it draws from sources it perceives as trustworthy.

How to Check Keyword Position and Track What LLMs See

Before optimising for AI visibility, you need to understand your current position. Use an SEO score checker to benchmark your site against competitors and identify gaps in your content coverage.

Start by running a full site scan to identify technical issues. Tools that crawl your sitemap and internal links can reveal problems like broken pages, missing meta data and indexing errors. For a detailed walkthrough, see this website SEO audit guide.

Next, check keyword position for terms related to your expertise. If you rank well for specific queries in Google, you have a stronger chance of being cited by LLMs when users ask similar questions. SEO keyword monitoring helps you track these positions over time and spot trends.

Consider which queries LLMs are likely to receive. Questions like "what are the best tools for X" or "how do I solve Y" often trigger AI responses that reference specific brands or resources. If your content ranks for these queries, it becomes source material for AI systems.

Tracking Your Brand in AI Responses

Traditional rank tracking shows where you appear in Google results. But how do you know if ChatGPT or Perplexity mentions your brand?

Some platforms now offer brand tracking features that monitor AI responses for your company name. These tools check whether your brand appears organically in AI answers to neutral category prompts. They can also extract your position from ranked list style responses like "top 10 tools for SEO" queries.

This type of monitoring gives you visibility into a channel that standard SEO keyword monitoring does not cover.

Real World Example: From Invisible to Recommended

Consider a SaaS company offering project management software. Their website had strong content but suffered from technical issues. Page speed scores were poor, several pages had duplicate content and their sitemap contained errors.

After running a comprehensive website audit, they fixed critical issues:

They resolved core web vitals problems by optimising images and reducing JavaScript blocking time. They consolidated duplicate pages using canonical tags. They cleaned up their sitemap to remove outdated URLs.

Within three months, their organic traffic increased by 40 percent. More importantly, they began appearing in AI responses to queries like "best project management tools for small teams". The combination of better indexing and clearer content structure made their site more accessible to both search engines and LLMs.

To improve Google rankings while building AI visibility, focus on the fundamentals that benefit both channels. Technical excellence and content clarity compound over time.

Using UtilitySEO to Prepare Your Site for AI Discovery

UtilitySEO offers several features that directly support the goal of getting LLMs to recommend your brand.

Full site scan crawls up to 300 pages via your sitemap and internal links. It identifies technical SEO issues with category filters so you can prioritise fixes by severity. The SEO results dashboard shows your overall score alongside specific problems and suggested fixes.

Core web vitals analysis is built into single URL scans, which use dual pass averaging for accurate PageSpeed data. This helps you spot performance issues that affect both user experience and crawlability.

Keyword tracking powered by Google Search Console shows rankings, impressions and clicks with grouping options. You can check keyword position for specific terms and monitor changes over time. Device and country breakdowns help you understand where your visibility is strongest.

Brand tracking is where UtilitySEO stands apart for AI visibility monitoring. The feature checks if your brand appears organically in responses from ChatGPT, Gemini and Perplexity. It provides a brand visibility score with trend direction, per platform breakdowns and a share of voice donut chart comparing you against competitors.

The keyword comparison table includes an opportunity score and confidence score for each term. Inline drilldown shows actual AI response excerpts and recommended actions. This gives you concrete data on where you are winning and where competitors are being recommended instead.

For ongoing monitoring, you can set up daily or weekly automated scheduling with email notifications. This means you will know immediately when your AI visibility changes.

Learn more about how to track Google rankings alongside AI visibility in your workflow.

Building Content That LLMs Want to Reference

Technical health gets your content indexed. But what makes LLMs choose to reference you over competitors?

Comprehensive topic coverage signals expertise. If you write about a subject, cover it thoroughly. Answer related questions within the same piece. Use clear subheadings that match common query patterns.

Structured data and schema markup help machines understand your content type. Product reviews, how to guides and FAQ content benefit from appropriate schema. While LLMs do not always parse schema directly, the clarity it provides often correlates with better rankings that feed AI training data.

Consistent brand messaging across your site helps AI systems associate your brand with specific topics. If every page about "SEO audits" mentions your company in a consistent way, that association strengthens over time.

Fresh, updated content matters because AI systems often prioritise recent information. Update your key pages regularly with new examples, statistics and insights.

Use an SEO score checker periodically to ensure your content pages maintain technical health as you add new material.

Take Action on Your AI Visibility

Getting LLMs to pick you up requires the same foundation as traditional SEO, with added attention to how AI systems evaluate and reference content.

Start with a comprehensive SEO audit to identify technical issues holding you back. Run a core web vitals audit to ensure your pages load quickly. Use SEO keyword monitoring to track your positions for queries that AI systems are likely to receive.

Then go further by tracking your brand visibility in AI responses directly. Understand where you appear, where competitors win and what actions can shift the balance.

UtilitySEO brings these capabilities together in one platform. From full site scans and keyword tracking to AI brand monitoring across ChatGPT, Gemini and Perplexity, you get the data needed to optimise for both channels. Check out the Workflow page to see how these features connect, or explore Pricing to find the plan that fits your needs.

The websites that prepare now will be the ones LLMs recommend tomorrow. Start your SEO audit today.