Introduction
You’ve spent time and budget building your website, optimizing keywords, and creating content. But what if you could get instant insights from an AI trained on the entire internet—without waiting for another agency report?
Welcome to the new era of website auditing powered by Large Language Models (LLMs) like ChatGPT and Perplexity AI. These tools aren’t just toys for tech enthusiasts anymore—they’re practical, scalable platforms that mid-sized companies can use right now to gain marketing clarity, competitive insights, and content improvement ideas in real time.
In this blog, we’ll walk through how to “send” your website to an LLM, what types of questions to ask, and how this fits into a modern SEO and content strategy.
71% of marketers say AI tools like ChatGPT have already helped them improve the quality and performance of their content.
— Source: HubSpot State of AI in Marketing Report, 2024
Why LLMs Are Changing the SEO Game
Unlike traditional crawlers or keyword tools, LLMs give you context-aware insights. They can analyze your tone, messaging clarity, technical issues, and competitive positioning—all based on natural language prompts and the data they’ve been trained on.
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ChatGPT can simulate how a reader or customer might interpret your content.
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Perplexity can provide cited research and up-to-date comparisons.
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Both can give you feedback instantly—without waiting on a deliverable.
Think of it like having a 24/7 marketing analyst who never sleeps.
How to Send Your Website to ChatGPT or Perplexity
You’re not literally uploading your site. Instead, you feed it select pages, summaries, or URLs and ask for structured feedback. Here’s how to do it:
Step 1: Choose Key Pages
Start with your homepage, service pages, and blog content that drives traffic or conversions.
Step 2: Copy & Paste (or Use URLs)
For ChatGPT: paste the text directly and ask for an evaluation.
For Perplexity: drop the URL and use prompts like “Summarize this website’s key message” or “What could improve this page’s SEO?”
Step 3: Ask the Right Questions
Try prompts like:
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“Act like a CMO and critique this homepage.”
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“What keywords are missing from this page for better Google rankings?”
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“Does this service page clearly communicate value to the customer?”
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“How does this blog compare to competitors on this topic?”
LLMs excel at language clarity, SEO feedback, and conversion insight.
What to Look for in LLM Feedback
Here are some of the most useful things these tools can reveal:
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Keyword Gaps
Are you missing key phrases that would help users (or search engines) find you? -
Message Clarity
Is your value proposition clear to someone who’s never heard of you? -
Conversion Suggestions
Are you guiding visitors to take action or just hoping they figure it out? -
Tone and Brand Alignment
Does your writing sound like your brand—or like a brochure from 2005? -
Content Depth and Structure
Do your blog posts answer real questions or just repeat the basics?
Pro Tip: Pair AI Feedback With Human Strategy
LLMs are powerful, but they’re not a replacement for marketing expertise. Instead, use them as a second set of eyes to quickly test ideas, improve clarity, and push your team to think differently.
You can also send the insights from ChatGPT or Perplexity to your SEO agency or marketing team to accelerate iteration and strategic planning.
Final Thoughts
If you’re not using LLMs to evaluate your website, you’re leaving insights on the table. Tools like ChatGPT and Perplexity offer on-demand marketing intelligence like similarweb that can sharpen your SEO, content strategy, and customer experience.
The smartest companies won’t wait—they’re already doing this.
Need help interpreting the results or creating a strategy from what AI reveals? That’s where we come in.
Let’s Chat.
At EWR Digital, we help companies bridge the gap between AI insight and real-world execution. Whether you’re ready to scale your SEO or sharpen your messaging, we’ll help you turn AI into action.
Frequently Asked Questions
How do I check if my website appears in ChatGPT and Perplexity answers?
Ask the AI assistants directly. Open ChatGPT, Claude, and Perplexity, then ask each one a question your customers would ask — for example, “Who are the top SEO agencies for oil and gas companies?” If your brand isn’t named in the response, you have an LLM visibility gap. EWR Digital uses tools like Profound and Brand Radar to track this systematically across all four major LLMs.
What is an LLM website audit?
An LLM website audit evaluates whether your site’s content can be cited inside AI assistant answers — not whether it ranks in Google. It checks structured data, entity attribution, FAQ blocks, comparison tables, and citation-worthy formats. The audit identifies gaps that prevent ChatGPT, Claude, Perplexity, and Gemini from confidently quoting or referencing your brand.
How is an LLM audit different from a traditional SEO audit?
Traditional SEO audits optimize for Google ranking signals: backlinks, page speed, schema for rich snippets. An LLM audit optimizes for citation signals: entity reinforcement, knowledge-graph completeness, quotable formats, and consistent brand mentions inside cited content. The technical foundations overlap, but specific moves like author Person schema matter much more for AI surfaces.
Does ChatGPT actually cite specific websites?
Yes — and increasingly so. ChatGPT with web search, Perplexity, and Google’s Gemini show inline citations linking to source URLs. Pages that get cited share four traits: clear authorship attribution, FAQ or Q&A blocks, comparison tables, and JSON-LD schema with Person and Organization entities. Pages without these signals are read by the model but rarely cited as sources.
How long until AI assistants reflect my updated content?
Faster than Google ranking — typically 2-4 weeks for major LLMs to reflect content updates in their answers, vs 4-12 weeks for Google. ChatGPT with browsing pulls content nearly real-time; Perplexity refreshes within days. Pages with strong entity signals get cited fastest because the model can confidently attribute the source.
What’s the most important fix to start getting cited by AI?
Author entity attribution. Every authored page should include Person schema (JSON-LD) naming the author, linking to LinkedIn and other profiles, and listing topic areas via knowsAbout. This gives the LLM a confident entity to cite. Most SEO setups skip this — which is why most pages get read but not named in AI answers.
Want the audit done for you? EWR runs LLM SEO and answer engine optimization, starting with a free LLM website audit across ChatGPT and Perplexity.