Multi-Platform

Optimizing for Perplexity
and ChatGPT Search

AI search engines have different citation patterns. Here's how to serve both.

Where to find it: Perplexity.ai > Search Client Brand/Topics > ChatGPT Browse > Bing Webmaster Tools > Llms.txt Protocol

What It Is

Perplexity and ChatGPT's browsing feature operate as AI-native search engines with their own indexing, crawling, and citation systems distinct from Google's. Perplexity crawls the web directly using its own bot (PerplexityBot) and builds real-time summaries from sources it can access and trust. ChatGPT's browsing feature uses Bing's index. Both platforms have specific technical requirements and content trust signals that differ meaningfully from Google AI Overviews. Agencies optimizing only for Google are leaving significant AI search visibility on the table.

Why It Matters

Perplexity processes over 15 million queries per day and is growing rapidly as a preferred research tool among high-value professional audiences. ChatGPT's user base exceeds 100 million monthly active users. Combined, these platforms represent a substantial and growing portion of online information discovery — particularly among the tech-savvy, high-income demographics that many agency clients are trying to reach. Visibility in these AI systems is a distinct, measurable channel that requires its own optimization strategy.

Root Diagnostics

Common Causes

Understanding why this happens is the first step to fixing it permanently.

PerplexityBot Blocked or Unindexed

The site's robots.txt blocks PerplexityBot, or the content hasn't been crawled. If Perplexity can't access the content, it can't cite it — regardless of quality.

Not in Bing's Index

ChatGPT's browse feature uses Bing. If the client's site is not indexed in Bing or has poor Bing authority, it won't appear in ChatGPT search results — even if it ranks well in Google.

No llms.txt File

llms.txt is an emerging protocol that tells AI crawlers which pages on the site are authoritative and suitable for AI training and citation. Without it, AI systems make their own decisions — which are often wrong.

Content Behind Login or JavaScript Walls

Content rendered entirely by JavaScript or accessible only after login is invisible to most AI crawlers. Both Perplexity and ChatGPT require crawlable, server-rendered text.

Interactive Standard Operating Procedure

The Fix Blueprint (Interactive SOP)

Check off each step to monitor your implementation progress live!

Implementation Progress: 0% Completed (0/7)

1. Check robots.txt for AI Bot Permissions

Open the site's robots.txt file. Confirm that PerplexityBot, GPTBot (OpenAI), and ClaudeBot (Anthropic) are not blocked. If they are, and the client wants AI visibility, remove those Disallow rules for content pages.

2. Verify Bing Indexation

Go to Bing Webmaster Tools (webmaster.bing.com) and verify the site. Check the index coverage report. Identify any pages that are missing from Bing's index that are indexed in Google. Submit a sitemap to Bing directly.

3. Implement llms.txt

Create an llms.txt file at the root of the domain (yourdomain.com/llms.txt). List the most authoritative and citation-worthy pages on the site with brief descriptions of what each page covers. This is a direct signal to AI crawlers about which content is most suitable for citation.

4. Audit for JavaScript Rendering Issues

Use Screaming Frog or a similar tool with JavaScript rendering enabled to identify pages where key content is only visible after JS execution. For high-priority pages, implement server-side rendering or static HTML for the core content.

5. Test Perplexity Citations Manually

Search 10 target queries on Perplexity. Note which domains are being cited. If the client isn't appearing, cross-reference with the robots.txt and crawlability findings. Perplexity typically reflects crawlability changes within 2–4 weeks.

6. Build Bing Authority Through Link Signals

Bing's authority signals are similar to Google's but weighted differently. Prioritize building links from news publications, educational institutions, and government sources — Bing weights these heavily for AI Overview trust.

7. Monitor Multi-Platform Citation Rate

Set up a monthly tracking process: search 10–15 target queries on Google (AI Overviews), Perplexity, and ChatGPT browse. Track which platforms are citing the client and for which queries. This multi-platform view is the real measure of AI search visibility.

Tools

Bing Webmaster Tools
Free | Verify site, check index coverage, and submit sitemaps for ChatGPT browse optimization
Screaming Frog SEO Spider
Free up to 500 URLs / Paid | Check robots.txt rules and audit for JavaScript rendering issues
Perplexity.ai
Free | Manually test citation presence for target queries and monitor changes after optimization

Time to Fix

1–2 hours

To Audit Access & Indexation

Hours to Days

robots.txt (minutes) | llms.txt & Bing (hours) | JS fixes (days)

Pro Tip

llms.txt is the robots.txt of AI search — implement it now before it becomes standard.

llms.txt is still an emerging protocol, which means early adopters gain a meaningful advantage. Implementing it now signals to AI crawlers exactly which pages are your client's most authoritative — before the protocol becomes a standard requirement that every site follows. The window for first-mover advantage here is real.

Optimizing for Perplexity and ChatGPT Search