Definition
ChatGPT optimization is the practice of increasing how often, how prominently and how accurately ChatGPT mentions a brand and cites its pages. It is GEO narrowed to one platform, and it gets its own name because ChatGPT is the largest AI assistant: OpenAI said on October 7, 2026 that more than 1.2 billion people use it each week, up from 800 million in October 2025.
The product changes often, so the current state matters. On October 7, 2026 OpenAI began rolling out GPT-6 in ChatGPT's Chat tab, powered by GPT-6 Sol on paid plans and GPT-6 Luna on Free and Go. OpenAI says GPT-6 makes better decisions about when to search the web, and that for questions needing search, GPT-6 Instant starts answering 44% sooner than GPT-5.6 Instant. Longer tasks moved to ChatGPT Work, an agent introduced in July 2026, while the Atlas browser was retired on August 9, 2026.
ChatGPT knows about a brand in two ways. The model's parametric knowledge comes from training data, collected partly by GPTBot. When ChatGPT searches, it uses ChatGPT search, which depends on OAI-SearchBot. OpenAI's crawler documentation says sites that opt out of OAI-SearchBot will not be shown in ChatGPT search answers, apart from navigational links, and that robots.txt changes take about 24 hours to apply. ChatGPT-User handles visits a user triggers, to which robots.txt may not apply. The settings are independent, so a site can block training and stay eligible for citations; see OpenAI crawlers.
Brands can appear in several ChatGPT surfaces:
- Text answers that name brands and cite sources inline when ChatGPT searches.
- Interactive answers built with Intelligent UI, introduced with GPT-6, which can show comparisons, maps and charts.
- Shopping answers with product cards, for which merchants can supply product data, including through the Agentic Commerce Protocol that OpenAI maintains with Stripe.
- Ads, shown to Free and Go users since February 9, 2026 and live in about 40 markets, including 31 in Europe, by September 2026. Ads are bought, not earned, and are a separate paid channel.
The main levers are the same as for GEO, applied to ChatGPT's behavior. Make sure OAI-SearchBot and ChatGPT-User can reach your pages, including through the CDN. Cover the searches ChatGPT runs behind a prompt, which you can see in its query fan-out data. Build presence in the third-party sources ChatGPT tends to cite for your category, such as review sites, comparison articles and forums. Keep facts consistent, since ChatGPT will repeat whichever version it retrieves.
Measure ChatGPT visibility with a fixed set of prompts run repeatedly, separating models and plans: answers for a Plus user on GPT-6 Sol can differ from those for a free user on Luna, and results from the API differ from the consumer app, as explained under UI vs API tracking. Each major model release is a reason to re-baseline. Our explainer on how ChatGPT searches the web and the ChatGPT citation share data for software show what this looks like in practice.
Examples of ChatGPT Optimization
- A project management tool finds ChatGPT citing G2 and a 2025 listicle for 'best tools for agencies'. It updates its agency use-case page with pricing for 10-seat teams and sends the listicle's author new benchmark data, and both pages start showing up as sources.
- An online retailer adds OAI-SearchBot to its CDN allowlist after crawler logs show 403 errors, and its product pages begin appearing in ChatGPT shopping answers.
- A publisher keeps GPTBot blocked for training but allows OAI-SearchBot, then tracks how often its articles are cited before and after the GPT-6 rollout in October 2026.
- A travel brand runs the same 80 prompts on a Plus account and a free account and sees different hotel recommendations, so it reports paid-tier and free-tier visibility separately.
