Getting Started: 5 Simple Steps to Set Up the Foundations for LLM Optimization

Getting Started: 5 Simple Steps to Set Up the Foundations for LLM Optimization

Getting Started: 5 Simple Steps to Set Up the Foundations for LLM Optimization

Jun 10, 2025

Jun 10, 2025

Jun 10, 2025

Before you chase advanced AI-SEO hacks, make sure your foundations are solid. From tracking AI referrals to auditing your indexing status and adding the right schema markup, these five essential actions will help you measure, monitor, and maximize your AI visibility. Think of it as your ALLMO starter kit.

Flat-style digital illustration of an open blue toolbox with icons emerging from it, including a magnifying glass, a "schema" tag, a speedometer, and a rising bar chart with an arrow. The background features soft blue gradients, giving the image a clean, tech-oriented aesthetic.
Flat-style digital illustration of an open blue toolbox with icons emerging from it, including a magnifying glass, a "schema" tag, a speedometer, and a rising bar chart with an arrow. The background features soft blue gradients, giving the image a clean, tech-oriented aesthetic.

Before you dive into advanced ALLMO tactics, it pays to establish a solid foundation. These five simple steps will help you benchmark your current performance, ensure your site is discoverable in AI-driven tools, and set you up for ongoing optimization success.

1. Set Up Tracking

Screenshot of the Google Analytics Traffic Acquisition report, showing a line graph of session trends by source.

Begin by confirming you have a web-analytics tool in place: Google Analytics, Adobe Analytics, or your preferred solution. Your goal is to establish a baseline for AI-driven referrals, such as ChatGPT, Perplexity, or Copilot.

How to view traffic from ChatGPT and Perplexity in Google Analytics 4:
  1. In Google Analytics, navigate to Reports > Lifecycle > Traffic Acquisition.

  2. Under Filters, click Session primary channel group or Session source.

  3. Type “ChatGPT,” “Gemini,” or any other LLM name into the search box above the results.

  4. Save this view as a custom report for regular tracking.

Note: ChatGPT and other LLMs don’t always append UTM parameters. While this method isn’t 100% reliable, it’s an excellent starting point to see how much AI-generated traffic you’re already getting.

By capturing this data, you’ll be able to measure the impact of your ALLMO strategy over time and identify which content resonates most with AI-driven discovery.

2. Audit if Your URLs are Indexed by LLMs

Next, verify which of your pages are already indexed by AI crawlers. You can either do so by typing questions about your website into LLMs search tools, or if you need a more robust and scalable way, use ALLMO’s AI Indexing Tool to scan your sitemap and see which URLs appear in LLMs live search consideration set.

This audit reveals low-hanging fruits: pages that need simple tweaks to become discoverable into LLM datasets.

3. Review Your Technical Setup

Optimizing for AI crawlers aligns closely with traditional SEO best practices. Your objective: make it as easy as possible for machines to parse your content.

  • Ensure clean HTML structure (proper headings, semantic tags).

  • Confirm that robots.txt and meta-robots tags aren’t blocking key pages.

  • Use Technical SEO validation tools to detect issues (just ask ChatGPT for recommendations, that best fit your website type).

If some pages from your Domain audit didn’t appear as indexed, review if the technical setup allows crawling first.

4. Examine Your Server Logs

For a deeper view of crawler behavior, access your raw web-server logs, if available, to check for bot visits labeled as ChatGPT, Perplexity, or other LLM-related user agents.

  • Tip: Many CMS platforms and hosted website builders don’t expose logs, and some analytics tools filter out bot traffic by default. If you can’t get raw logs, consider implementing log-collection via your hosting provider or a log-management service.

  • Notable bot names include GPTBot, ChatGPT-User, OAI-SearchBot, PerplexityBot, ClaudeBot, Claude-Web, and Anthropic-AI, among others.

Knowing which pages AI crawlers actually visit helps you refine your crawl budget and improve your content structure.

5. Implement Schema Markup

Screenshot of a JSON-LD schema markup using this blog post as an example. The structured data includes fields for the headline, description, article URL, images, author ("ALLMO.ai"), and dates of publication and modification.

Finally, add structured data (schema.org) to your site. Schema markup provides clear signals about your content’s type and hierarchy, which benefits both search engines and AI indexing tools.

Even basic schema implementation can boost your visibility in AI-driven discovery and traditional search results alike by 20% and more as ALLMO's internal experiments show.

By following these five steps - tracking, auditing, technical review, log analysis, and schema markup - you’ll lay the groundwork for successful AI Visibility Optimization. With a strong baseline in place, you can dive into more advanced ALLMO strategies.

Before you dive into advanced ALLMO tactics, it pays to establish a solid foundation. These five simple steps will help you benchmark your current performance, ensure your site is discoverable in AI-driven tools, and set you up for ongoing optimization success.

1. Set Up Tracking

Screenshot of the Google Analytics Traffic Acquisition report, showing a line graph of session trends by source.

Begin by confirming you have a web-analytics tool in place: Google Analytics, Adobe Analytics, or your preferred solution. Your goal is to establish a baseline for AI-driven referrals, such as ChatGPT, Perplexity, or Copilot.

How to view traffic from ChatGPT and Perplexity in Google Analytics 4:
  1. In Google Analytics, navigate to Reports > Lifecycle > Traffic Acquisition.

  2. Under Filters, click Session primary channel group or Session source.

  3. Type “ChatGPT,” “Gemini,” or any other LLM name into the search box above the results.

  4. Save this view as a custom report for regular tracking.

Note: ChatGPT and other LLMs don’t always append UTM parameters. While this method isn’t 100% reliable, it’s an excellent starting point to see how much AI-generated traffic you’re already getting.

By capturing this data, you’ll be able to measure the impact of your ALLMO strategy over time and identify which content resonates most with AI-driven discovery.

2. Audit if Your URLs are Indexed by LLMs

Next, verify which of your pages are already indexed by AI crawlers. You can either do so by typing questions about your website into LLMs search tools, or if you need a more robust and scalable way, use ALLMO’s AI Indexing Tool to scan your sitemap and see which URLs appear in LLMs live search consideration set.

This audit reveals low-hanging fruits: pages that need simple tweaks to become discoverable into LLM datasets.

3. Review Your Technical Setup

Optimizing for AI crawlers aligns closely with traditional SEO best practices. Your objective: make it as easy as possible for machines to parse your content.

  • Ensure clean HTML structure (proper headings, semantic tags).

  • Confirm that robots.txt and meta-robots tags aren’t blocking key pages.

  • Use Technical SEO validation tools to detect issues (just ask ChatGPT for recommendations, that best fit your website type).

If some pages from your Domain audit didn’t appear as indexed, review if the technical setup allows crawling first.

4. Examine Your Server Logs

For a deeper view of crawler behavior, access your raw web-server logs, if available, to check for bot visits labeled as ChatGPT, Perplexity, or other LLM-related user agents.

  • Tip: Many CMS platforms and hosted website builders don’t expose logs, and some analytics tools filter out bot traffic by default. If you can’t get raw logs, consider implementing log-collection via your hosting provider or a log-management service.

  • Notable bot names include GPTBot, ChatGPT-User, OAI-SearchBot, PerplexityBot, ClaudeBot, Claude-Web, and Anthropic-AI, among others.

Knowing which pages AI crawlers actually visit helps you refine your crawl budget and improve your content structure.

5. Implement Schema Markup

Screenshot of a JSON-LD schema markup using this blog post as an example. The structured data includes fields for the headline, description, article URL, images, author ("ALLMO.ai"), and dates of publication and modification.

Finally, add structured data (schema.org) to your site. Schema markup provides clear signals about your content’s type and hierarchy, which benefits both search engines and AI indexing tools.

Even basic schema implementation can boost your visibility in AI-driven discovery and traditional search results alike by 20% and more as ALLMO's internal experiments show.

By following these five steps - tracking, auditing, technical review, log analysis, and schema markup - you’ll lay the groundwork for successful AI Visibility Optimization. With a strong baseline in place, you can dive into more advanced ALLMO strategies.

© 2025 ALLMO.ai, All rights reserved.

© 2025 ALLMO.ai, All rights reserved.