LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
TL;DR
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
LLMO now trumps traditional SEO for appearing in AI-generated answers.
If your brand is not being mentioned or cited in AI outputs, you may be missing critical signals such as structured data, brand mentions, or prompt alignment.
This checklist provides a practical guide to identify and resolve visibility blind spots.
Ensure your website is compatible with real-time scrapers, supports semantic parsing, and is structured for AI answer formatting.
Real-World Impact: Traffic and Trust
AI-generated answers are changing how people access information, and traditional publishers are feeling the pinch.
The New York Post notes some publishers have described AI Overviews as "devastating" for traffic, thanks to their habit of summarising content without directing clicks. (source)
Search Engine Land reported that MailOnline experienced a 56% decline in click-through rates after Google rolled out AI Overviews.
According to Digiday, publishers are finding it increasingly difficult to measure how much visibility they’ve lost, largely due to Google’s opacity.
If your content isn’t optimised for AI visibility, you’re already losing ground.
This updated checklist for 2025 will help you thoroughly audit your site, prioritise improvements, and rebuild visibility in a world led by large language models.
AI-generated answers are changing how people access information, and traditional publishers are feeling the pinch.
The New York Post notes some publishers have described AI Overviews as "devastating" for traffic, thanks to their habit of summarising content without directing clicks. (source)
Search Engine Land reported that MailOnline experienced a 56% decline in click-through rates after Google rolled out AI Overviews.
According to Digiday, publishers are finding it increasingly difficult to measure how much visibility they’ve lost, largely due to Google’s opacity.
If your content isn’t optimised for AI visibility, you’re already losing ground.
This updated checklist for 2025 will help you thoroughly audit your site, prioritise improvements, and rebuild visibility in a world led by large language models.
AI-generated answers are changing how people access information, and traditional publishers are feeling the pinch.
The New York Post notes some publishers have described AI Overviews as "devastating" for traffic, thanks to their habit of summarising content without directing clicks. (source)
Search Engine Land reported that MailOnline experienced a 56% decline in click-through rates after Google rolled out AI Overviews.
According to Digiday, publishers are finding it increasingly difficult to measure how much visibility they’ve lost, largely due to Google’s opacity.
If your content isn’t optimised for AI visibility, you’re already losing ground.
This updated checklist for 2025 will help you thoroughly audit your site, prioritise improvements, and rebuild visibility in a world led by large language models.
AI-generated answers are changing how people access information, and traditional publishers are feeling the pinch.
The New York Post notes some publishers have described AI Overviews as "devastating" for traffic, thanks to their habit of summarising content without directing clicks. (source)
Search Engine Land reported that MailOnline experienced a 56% decline in click-through rates after Google rolled out AI Overviews.
According to Digiday, publishers are finding it increasingly difficult to measure how much visibility they’ve lost, largely due to Google’s opacity.
If your content isn’t optimised for AI visibility, you’re already losing ground.
This updated checklist for 2025 will help you thoroughly audit your site, prioritise improvements, and rebuild visibility in a world led by large language models.
The 2025 LLMO Audit Checklist
The 2025 LLMO Audit Checklist
Follow this checklist to optimise your website for AI mentions and answers.
Answer the questions to gauge your website’s LLM readiness. Use the suggested tools to audit your website and then follow our recommendations to fix it.
Entity Salience
Is your brand regularly mentioned across well-regarded sources?
Audit: Use tools like SparkToro or Langfuse to see where and how often your brand appears.
Fix: Aim for features in articles, podcasts, and expert roundups to build a visible digital footprint.
Structured Data Readiness
Are you using JSON-LD markup like FAQPage, Article, Product, or Speakable?
Audit: Test pages using Google's Rich Results Test or Schema Markup Validator.
Fix: Use schema plugins or add markup manually, and include timestamps, authorship, and source citations.
Answer Chunking & Format
Is your content formatted with clear, answer-ready blocks like Q&As or bullet points?
Audit: Look at top AI-generated answers in your sector and compare formats.
Fix: Break long paragraphs into bite-sized 30–50-word sections with clear headers.
Prompt Alignment
Do your headings match how users naturally phrase their questions?
Audit: Use ChatGPT, Gemini, or Claude to test queries.
Fix: Rewrite headers as questions and front-load concise answers in each section.
Real-Time Web Crawl Compatibility
Is your website built to be easily crawled and parsed by tools like Perplexity?
Audit: Run Lighthouse or use Ahrefs to review page speed, crawlability, and JavaScript use.
Fix: Minimise heavy assets, use plain HTML where possible, and ensure metadata is accessible.
Mention Density vs. Backlink Volume
Are you focusing more on mentions than backlinks?
Audit: Compare your brand’s unlinked mentions in credible content with your backlink profile.
Fix: Refocus PR and link building around gaining brand name visibility in readable copy.
Training Data Presence
Has your content likely been included in LLM training sets or scrapers?
Audit: Look for your presence in open data repositories, academic references, and forums.
Fix: Share thought leadership on community sites, documentation hubs, and technical blogs.
Embedding & Vector Presence
Have you loaded your content into a vector store like Weaviate or Supabase?
Audit: Ensure embeddings exist for your core content in internal tools.
Fix: Use OpenAI or Cohere to generate embeddings, then upload them with relevant metadata.
Brand Trust & Author Signals
Are your authors visibly credible and tied to specific topics?
Audit: Look for bios, credentials, and links to social profiles or previous work.
Fix: Include E-E-A-T elements—author bios, original research, and visible trust signals.
Prompt-Testing Feedback Loop
Are you regularly checking how AI responds to relevant queries?
Audit: Run prompts across major LLMs and log your mentions.
Fix: Review which pages get cited, note what language works, and update accordingly.
Follow this checklist to optimise your website for AI mentions and answers.
Answer the questions to gauge your website’s LLM readiness. Use the suggested tools to audit your website and then follow our recommendations to fix it.
Entity Salience
Is your brand regularly mentioned across well-regarded sources?
Audit: Use tools like SparkToro or Langfuse to see where and how often your brand appears.
Fix: Aim for features in articles, podcasts, and expert roundups to build a visible digital footprint.
Structured Data Readiness
Are you using JSON-LD markup like FAQPage, Article, Product, or Speakable?
Audit: Test pages using Google's Rich Results Test or Schema Markup Validator.
Fix: Use schema plugins or add markup manually, and include timestamps, authorship, and source citations.
Answer Chunking & Format
Is your content formatted with clear, answer-ready blocks like Q&As or bullet points?
Audit: Look at top AI-generated answers in your sector and compare formats.
Fix: Break long paragraphs into bite-sized 30–50-word sections with clear headers.
Prompt Alignment
Do your headings match how users naturally phrase their questions?
Audit: Use ChatGPT, Gemini, or Claude to test queries.
Fix: Rewrite headers as questions and front-load concise answers in each section.
Real-Time Web Crawl Compatibility
Is your website built to be easily crawled and parsed by tools like Perplexity?
Audit: Run Lighthouse or use Ahrefs to review page speed, crawlability, and JavaScript use.
Fix: Minimise heavy assets, use plain HTML where possible, and ensure metadata is accessible.
Mention Density vs. Backlink Volume
Are you focusing more on mentions than backlinks?
Audit: Compare your brand’s unlinked mentions in credible content with your backlink profile.
Fix: Refocus PR and link building around gaining brand name visibility in readable copy.
Training Data Presence
Has your content likely been included in LLM training sets or scrapers?
Audit: Look for your presence in open data repositories, academic references, and forums.
Fix: Share thought leadership on community sites, documentation hubs, and technical blogs.
Embedding & Vector Presence
Have you loaded your content into a vector store like Weaviate or Supabase?
Audit: Ensure embeddings exist for your core content in internal tools.
Fix: Use OpenAI or Cohere to generate embeddings, then upload them with relevant metadata.
Brand Trust & Author Signals
Are your authors visibly credible and tied to specific topics?
Audit: Look for bios, credentials, and links to social profiles or previous work.
Fix: Include E-E-A-T elements—author bios, original research, and visible trust signals.
Prompt-Testing Feedback Loop
Are you regularly checking how AI responds to relevant queries?
Audit: Run prompts across major LLMs and log your mentions.
Fix: Review which pages get cited, note what language works, and update accordingly.
Follow this checklist to optimise your website for AI mentions and answers.
Answer the questions to gauge your website’s LLM readiness. Use the suggested tools to audit your website and then follow our recommendations to fix it.
Entity Salience
Is your brand regularly mentioned across well-regarded sources?
Audit: Use tools like SparkToro or Langfuse to see where and how often your brand appears.
Fix: Aim for features in articles, podcasts, and expert roundups to build a visible digital footprint.
Structured Data Readiness
Are you using JSON-LD markup like FAQPage, Article, Product, or Speakable?
Audit: Test pages using Google's Rich Results Test or Schema Markup Validator.
Fix: Use schema plugins or add markup manually, and include timestamps, authorship, and source citations.
Answer Chunking & Format
Is your content formatted with clear, answer-ready blocks like Q&As or bullet points?
Audit: Look at top AI-generated answers in your sector and compare formats.
Fix: Break long paragraphs into bite-sized 30–50-word sections with clear headers.
Prompt Alignment
Do your headings match how users naturally phrase their questions?
Audit: Use ChatGPT, Gemini, or Claude to test queries.
Fix: Rewrite headers as questions and front-load concise answers in each section.
Real-Time Web Crawl Compatibility
Is your website built to be easily crawled and parsed by tools like Perplexity?
Audit: Run Lighthouse or use Ahrefs to review page speed, crawlability, and JavaScript use.
Fix: Minimise heavy assets, use plain HTML where possible, and ensure metadata is accessible.
Mention Density vs. Backlink Volume
Are you focusing more on mentions than backlinks?
Audit: Compare your brand’s unlinked mentions in credible content with your backlink profile.
Fix: Refocus PR and link building around gaining brand name visibility in readable copy.
Training Data Presence
Has your content likely been included in LLM training sets or scrapers?
Audit: Look for your presence in open data repositories, academic references, and forums.
Fix: Share thought leadership on community sites, documentation hubs, and technical blogs.
Embedding & Vector Presence
Have you loaded your content into a vector store like Weaviate or Supabase?
Audit: Ensure embeddings exist for your core content in internal tools.
Fix: Use OpenAI or Cohere to generate embeddings, then upload them with relevant metadata.
Brand Trust & Author Signals
Are your authors visibly credible and tied to specific topics?
Audit: Look for bios, credentials, and links to social profiles or previous work.
Fix: Include E-E-A-T elements—author bios, original research, and visible trust signals.
Prompt-Testing Feedback Loop
Are you regularly checking how AI responds to relevant queries?
Audit: Run prompts across major LLMs and log your mentions.
Fix: Review which pages get cited, note what language works, and update accordingly.
Follow this checklist to optimise your website for AI mentions and answers.
Answer the questions to gauge your website’s LLM readiness. Use the suggested tools to audit your website and then follow our recommendations to fix it.
Entity Salience
Is your brand regularly mentioned across well-regarded sources?
Audit: Use tools like SparkToro or Langfuse to see where and how often your brand appears.
Fix: Aim for features in articles, podcasts, and expert roundups to build a visible digital footprint.
Structured Data Readiness
Are you using JSON-LD markup like FAQPage, Article, Product, or Speakable?
Audit: Test pages using Google's Rich Results Test or Schema Markup Validator.
Fix: Use schema plugins or add markup manually, and include timestamps, authorship, and source citations.
Answer Chunking & Format
Is your content formatted with clear, answer-ready blocks like Q&As or bullet points?
Audit: Look at top AI-generated answers in your sector and compare formats.
Fix: Break long paragraphs into bite-sized 30–50-word sections with clear headers.
Prompt Alignment
Do your headings match how users naturally phrase their questions?
Audit: Use ChatGPT, Gemini, or Claude to test queries.
Fix: Rewrite headers as questions and front-load concise answers in each section.
Real-Time Web Crawl Compatibility
Is your website built to be easily crawled and parsed by tools like Perplexity?
Audit: Run Lighthouse or use Ahrefs to review page speed, crawlability, and JavaScript use.
Fix: Minimise heavy assets, use plain HTML where possible, and ensure metadata is accessible.
Mention Density vs. Backlink Volume
Are you focusing more on mentions than backlinks?
Audit: Compare your brand’s unlinked mentions in credible content with your backlink profile.
Fix: Refocus PR and link building around gaining brand name visibility in readable copy.
Training Data Presence
Has your content likely been included in LLM training sets or scrapers?
Audit: Look for your presence in open data repositories, academic references, and forums.
Fix: Share thought leadership on community sites, documentation hubs, and technical blogs.
Embedding & Vector Presence
Have you loaded your content into a vector store like Weaviate or Supabase?
Audit: Ensure embeddings exist for your core content in internal tools.
Fix: Use OpenAI or Cohere to generate embeddings, then upload them with relevant metadata.
Brand Trust & Author Signals
Are your authors visibly credible and tied to specific topics?
Audit: Look for bios, credentials, and links to social profiles or previous work.
Fix: Include E-E-A-T elements—author bios, original research, and visible trust signals.
Prompt-Testing Feedback Loop
Are you regularly checking how AI responds to relevant queries?
Audit: Run prompts across major LLMs and log your mentions.
Fix: Review which pages get cited, note what language works, and update accordingly.
LLMO Optimisation Strategy Tips
LLMO Optimisation Strategy Tips
Follow these 12 LLMO optimisation tips to boost AI visibility:
Match content types to schema: blogs as Article, FAQs as FAQPage, videos as VideoObject.
Focus on topic clusters and related terms—not just keywords.
Add question-led summaries ("What is X and how does it work?") at the top of key pages.
Use Langfuse and PromptLayer to monitor prompt phrasing and citation trends.
Write concise, direct answers (30–50 words) below each header to mimic snippet formatting.
Include internal links that build semantic bridges between related topics.
Test visibility monthly using real-world prompts and track your brand citations.
Add author bios with credentials to enhance trust and authority.
Make your metadata visible to crawlers—don’t bury important info in JavaScript.
Repurpose key insights into short Q&As for featured answer retrievability.
Publish on third-party expert platforms to improve mention diversity.
Keep titles and headers in natural question form to boost prompt relevance.
Follow these 12 LLMO optimisation tips to boost AI visibility:
Match content types to schema: blogs as Article, FAQs as FAQPage, videos as VideoObject.
Focus on topic clusters and related terms—not just keywords.
Add question-led summaries ("What is X and how does it work?") at the top of key pages.
Use Langfuse and PromptLayer to monitor prompt phrasing and citation trends.
Write concise, direct answers (30–50 words) below each header to mimic snippet formatting.
Include internal links that build semantic bridges between related topics.
Test visibility monthly using real-world prompts and track your brand citations.
Add author bios with credentials to enhance trust and authority.
Make your metadata visible to crawlers—don’t bury important info in JavaScript.
Repurpose key insights into short Q&As for featured answer retrievability.
Publish on third-party expert platforms to improve mention diversity.
Keep titles and headers in natural question form to boost prompt relevance.
Follow these 12 LLMO optimisation tips to boost AI visibility:
Match content types to schema: blogs as Article, FAQs as FAQPage, videos as VideoObject.
Focus on topic clusters and related terms—not just keywords.
Add question-led summaries ("What is X and how does it work?") at the top of key pages.
Use Langfuse and PromptLayer to monitor prompt phrasing and citation trends.
Write concise, direct answers (30–50 words) below each header to mimic snippet formatting.
Include internal links that build semantic bridges between related topics.
Test visibility monthly using real-world prompts and track your brand citations.
Add author bios with credentials to enhance trust and authority.
Make your metadata visible to crawlers—don’t bury important info in JavaScript.
Repurpose key insights into short Q&As for featured answer retrievability.
Publish on third-party expert platforms to improve mention diversity.
Keep titles and headers in natural question form to boost prompt relevance.
Follow these 12 LLMO optimisation tips to boost AI visibility:
Match content types to schema: blogs as Article, FAQs as FAQPage, videos as VideoObject.
Focus on topic clusters and related terms—not just keywords.
Add question-led summaries ("What is X and how does it work?") at the top of key pages.
Use Langfuse and PromptLayer to monitor prompt phrasing and citation trends.
Write concise, direct answers (30–50 words) below each header to mimic snippet formatting.
Include internal links that build semantic bridges between related topics.
Test visibility monthly using real-world prompts and track your brand citations.
Add author bios with credentials to enhance trust and authority.
Make your metadata visible to crawlers—don’t bury important info in JavaScript.
Repurpose key insights into short Q&As for featured answer retrievability.
Publish on third-party expert platforms to improve mention diversity.
Keep titles and headers in natural question form to boost prompt relevance.
FAQs
FAQs
How do I know if my site is LLM-optimised?
Run queries in ChatGPT, Gemini, and Claude. If your brand is rarely mentioned, it’s time to enhance structured data, content structure, and entity presence.
To determine if your site is LLM-optimized, test queries in ChatGPT, Gemini, and Claude. A low mention rate suggests a need to strengthen structured data implementation, refine the content structure, and boost your brand's overall entity presence across the web.
What’s the most common mistake with LLMO?
Treating it like old-school SEO. LLMs prioritise brand context, metadata, and content format over traditional backlinks.
Large Language Models (LLMs) operate differently than traditional search engines. They prioritize brand context, metadata, and content format for understanding and featuring information.
Simply focusing on backlinks, like in old-school SEO, is insufficient; LLMO requires a more holistic approach to ensure visibility and credibility.
Is structured data enough?
It’s a strong start, but not the whole story. You also need consistent mentions, prompt-friendly language, and authority signals.
Structured data is a valuable first step for LLMO, but it's insufficient alone. Success requires ongoing brand mentions across reputable sources, content phrased in natural question formats, and clear signals that establish your expertise and reliability in the given subject area.
How often should I refresh my content?
Every quarter is a good rule of thumb. LLMs evolve quickly and reward fresh, well-structured content.
Maintaining a quarterly audit schedule is highly advisable for optimizing your Large Language Model (LLM) interaction with your site. This frequency accounts for the rapid advancement of LLM technology, which consistently favours up-to-date and organized website content.
By conducting regular audits, you ensure your site's content remains aligned with the evolving algorithms and expectations of LLMs, thereby improving visibility and performance.
Should I focus more on ChatGPT or Gemini?
Ideally both. ChatGPT uses embedded memory and plugins; Gemini leans on live data. Covering both means mixing structure with real-time exposure.
Both ChatGPT and Gemini should be considered. ChatGPT utilizes embedded memory and plugins, whereas Gemini leverages live data. To comprehensively address both, a blend of structured data and current, real-time information exposure is necessary.
How do I know if my site is LLM-optimised?
Run queries in ChatGPT, Gemini, and Claude. If your brand is rarely mentioned, it’s time to enhance structured data, content structure, and entity presence.
To determine if your site is LLM-optimized, test queries in ChatGPT, Gemini, and Claude. A low mention rate suggests a need to strengthen structured data implementation, refine the content structure, and boost your brand's overall entity presence across the web.
What’s the most common mistake with LLMO?
Treating it like old-school SEO. LLMs prioritise brand context, metadata, and content format over traditional backlinks.
Large Language Models (LLMs) operate differently than traditional search engines. They prioritize brand context, metadata, and content format for understanding and featuring information.
Simply focusing on backlinks, like in old-school SEO, is insufficient; LLMO requires a more holistic approach to ensure visibility and credibility.
Is structured data enough?
It’s a strong start, but not the whole story. You also need consistent mentions, prompt-friendly language, and authority signals.
Structured data is a valuable first step for LLMO, but it's insufficient alone. Success requires ongoing brand mentions across reputable sources, content phrased in natural question formats, and clear signals that establish your expertise and reliability in the given subject area.
How often should I refresh my content?
Every quarter is a good rule of thumb. LLMs evolve quickly and reward fresh, well-structured content.
Maintaining a quarterly audit schedule is highly advisable for optimizing your Large Language Model (LLM) interaction with your site. This frequency accounts for the rapid advancement of LLM technology, which consistently favours up-to-date and organized website content.
By conducting regular audits, you ensure your site's content remains aligned with the evolving algorithms and expectations of LLMs, thereby improving visibility and performance.
Should I focus more on ChatGPT or Gemini?
Ideally both. ChatGPT uses embedded memory and plugins; Gemini leans on live data. Covering both means mixing structure with real-time exposure.
Both ChatGPT and Gemini should be considered. ChatGPT utilizes embedded memory and plugins, whereas Gemini leverages live data. To comprehensively address both, a blend of structured data and current, real-time information exposure is necessary.
How do I know if my site is LLM-optimised?
Run queries in ChatGPT, Gemini, and Claude. If your brand is rarely mentioned, it’s time to enhance structured data, content structure, and entity presence.
To determine if your site is LLM-optimized, test queries in ChatGPT, Gemini, and Claude. A low mention rate suggests a need to strengthen structured data implementation, refine the content structure, and boost your brand's overall entity presence across the web.
What’s the most common mistake with LLMO?
Treating it like old-school SEO. LLMs prioritise brand context, metadata, and content format over traditional backlinks.
Large Language Models (LLMs) operate differently than traditional search engines. They prioritize brand context, metadata, and content format for understanding and featuring information.
Simply focusing on backlinks, like in old-school SEO, is insufficient; LLMO requires a more holistic approach to ensure visibility and credibility.
Is structured data enough?
It’s a strong start, but not the whole story. You also need consistent mentions, prompt-friendly language, and authority signals.
Structured data is a valuable first step for LLMO, but it's insufficient alone. Success requires ongoing brand mentions across reputable sources, content phrased in natural question formats, and clear signals that establish your expertise and reliability in the given subject area.
How often should I refresh my content?
Every quarter is a good rule of thumb. LLMs evolve quickly and reward fresh, well-structured content.
Maintaining a quarterly audit schedule is highly advisable for optimizing your Large Language Model (LLM) interaction with your site. This frequency accounts for the rapid advancement of LLM technology, which consistently favours up-to-date and organized website content.
By conducting regular audits, you ensure your site's content remains aligned with the evolving algorithms and expectations of LLMs, thereby improving visibility and performance.
Should I focus more on ChatGPT or Gemini?
Ideally both. ChatGPT uses embedded memory and plugins; Gemini leans on live data. Covering both means mixing structure with real-time exposure.
Both ChatGPT and Gemini should be considered. ChatGPT utilizes embedded memory and plugins, whereas Gemini leverages live data. To comprehensively address both, a blend of structured data and current, real-time information exposure is necessary.
How do I know if my site is LLM-optimised?
Run queries in ChatGPT, Gemini, and Claude. If your brand is rarely mentioned, it’s time to enhance structured data, content structure, and entity presence.
To determine if your site is LLM-optimized, test queries in ChatGPT, Gemini, and Claude. A low mention rate suggests a need to strengthen structured data implementation, refine the content structure, and boost your brand's overall entity presence across the web.
What’s the most common mistake with LLMO?
Treating it like old-school SEO. LLMs prioritise brand context, metadata, and content format over traditional backlinks.
Large Language Models (LLMs) operate differently than traditional search engines. They prioritize brand context, metadata, and content format for understanding and featuring information.
Simply focusing on backlinks, like in old-school SEO, is insufficient; LLMO requires a more holistic approach to ensure visibility and credibility.
Is structured data enough?
It’s a strong start, but not the whole story. You also need consistent mentions, prompt-friendly language, and authority signals.
Structured data is a valuable first step for LLMO, but it's insufficient alone. Success requires ongoing brand mentions across reputable sources, content phrased in natural question formats, and clear signals that establish your expertise and reliability in the given subject area.
How often should I refresh my content?
Every quarter is a good rule of thumb. LLMs evolve quickly and reward fresh, well-structured content.
Maintaining a quarterly audit schedule is highly advisable for optimizing your Large Language Model (LLM) interaction with your site. This frequency accounts for the rapid advancement of LLM technology, which consistently favours up-to-date and organized website content.
By conducting regular audits, you ensure your site's content remains aligned with the evolving algorithms and expectations of LLMs, thereby improving visibility and performance.
Should I focus more on ChatGPT or Gemini?
Ideally both. ChatGPT uses embedded memory and plugins; Gemini leans on live data. Covering both means mixing structure with real-time exposure.
Both ChatGPT and Gemini should be considered. ChatGPT utilizes embedded memory and plugins, whereas Gemini leverages live data. To comprehensively address both, a blend of structured data and current, real-time information exposure is necessary.
Final Take
Final Take
If your site isn’t appearing in AI-generated answers, the issue probably isn’t your message—it’s how machines interpret it. This LLMO checklist will help you uncover the gaps, sharpen your structure, and position your brand for the AI-first web that’s already here.
Need your brand to show up in AI summaries?
Meet LangSync — QTA Group’s Large Language Model Optimisation agency, built for corporates, by a team of ex-Google engineers and product managers who helped shape today’s search and AI landscape.
Our team has relationships with all the major LLMs to ensure we place you at the heart of development, create search dominance and help you gain visibility across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews.
If your site isn’t appearing in AI-generated answers, the issue probably isn’t your message—it’s how machines interpret it. This LLMO checklist will help you uncover the gaps, sharpen your structure, and position your brand for the AI-first web that’s already here.
Need your brand to show up in AI summaries?
Meet LangSync — QTA Group’s Large Language Model Optimisation agency, built for corporates, by a team of ex-Google engineers and product managers who helped shape today’s search and AI landscape.
Our team has relationships with all the major LLMs to ensure we place you at the heart of development, create search dominance and help you gain visibility across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews.
If your site isn’t appearing in AI-generated answers, the issue probably isn’t your message—it’s how machines interpret it. This LLMO checklist will help you uncover the gaps, sharpen your structure, and position your brand for the AI-first web that’s already here.
Need your brand to show up in AI summaries?
Meet LangSync — QTA Group’s Large Language Model Optimisation agency, built for corporates, by a team of ex-Google engineers and product managers who helped shape today’s search and AI landscape.
Our team has relationships with all the major LLMs to ensure we place you at the heart of development, create search dominance and help you gain visibility across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews.
If your site isn’t appearing in AI-generated answers, the issue probably isn’t your message—it’s how machines interpret it. This LLMO checklist will help you uncover the gaps, sharpen your structure, and position your brand for the AI-first web that’s already here.
Need your brand to show up in AI summaries?
Meet LangSync — QTA Group’s Large Language Model Optimisation agency, built for corporates, by a team of ex-Google engineers and product managers who helped shape today’s search and AI landscape.
Our team has relationships with all the major LLMs to ensure we place you at the heart of development, create search dominance and help you gain visibility across ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews.
