When OpenAI launched ChatGPT Search (originally called SearchGPT) in late 2024, the search industry watched closely. The feature gave ChatGPT real-time web access and transformed it from a knowledge base into a search tool. By 2026, it’s handling hundreds of millions of queries per month — a number that’s growing faster than any competing AI search tool.
The critical question for SEOs isn’t whether ChatGPT Search matters (it does) — it’s what kind of queries it’s capturing and how to optimize for citation within it.
What Queries Go to ChatGPT Search
Survey data from SparkToro and independent researchers shows ChatGPT Search is capturing a specific type of query that differs from Google’s core use cases:
- Complex, multi-part questions: “Compare the SEO implications of JavaScript rendering vs. server-side rendering for a React-based SaaS product with 50,000 pages” is a query ChatGPT handles better than Google’s traditional results page
- Research and synthesis: Users who need a comprehensive overview of a topic, drawing from multiple sources, increasingly prefer ChatGPT’s synthesized answer to a Google results page they’d need to read through
- Follow-up and context-dependent queries: ChatGPT’s conversational memory within a session handles follow-up questions more naturally than Google
- Technical problem-solving: Developer and technical queries have strong ChatGPT Search adoption
What ChatGPT Search is NOT capturing at scale (yet): navigational queries (people looking for a specific website), transactional queries (people ready to buy), and local queries (people looking for nearby businesses).
How ChatGPT Search Selects Sources
ChatGPT Search uses Bing as its primary web index, supplemented by direct crawling from OpenAI’s own bot. The same optimization logic that applies to Perplexity applies here: ensure Bing indexing is clean, ensure you’re not blocking OpenAI’s crawler (user agent: OAI-SearchBot), and structure content for AI extraction.
ChatGPT tends to cite sources that:
- Have high domain authority in Bing’s index
- Provide direct, clear answers to the specific question asked
- Are recent (publication and update dates matter)
- Come from recognizable, branded domains that the model has “knowledge” of from training data
The OpenAI Crawlers: What You Need to Know
OpenAI operates multiple crawlers: GPTBot (for training data), OAI-SearchBot (for search results), and ChatGPT-User (for browsing during conversations). Each requires separate robots.txt rules if you want to control access.
Many sites added GPTBot blocks after OpenAI launched — to prevent their content being used for model training without compensation. However, blocking GPTBot does not block OAI-SearchBot. Sites that want to appear in ChatGPT Search results should ensure OAI-SearchBot is allowed in robots.txt while they can still block GPTBot if they choose.
The Bigger Picture: Search Is Now Multi-Platform
The rise of ChatGPT Search alongside Perplexity, Google AI Mode, and Microsoft Copilot has made single-platform SEO strategy obsolete. The brands building sustainable search visibility in 2026 are optimizing for authority signals that work across all these platforms: strong content, genuine expertise, clean technical foundations, and brand recognition.
The tactical difference between optimizing for Google vs. ChatGPT vs. Perplexity is smaller than the strategic difference between having a clear authority-building plan and not having one.
For the complete AI search optimization framework, read our guide on Generative Engine Optimization and our analysis of Perplexity citation tactics.
