ChatGPT SEO

Two mechanisms, depending on the prompt. From memory, it names brands its training data described often and consistently, which favors entities with real third-party coverage. With search on, it retrieves live pages, reads them, and names the brands its sources agree on. Neither mechanism takes payment. Both reward the same base: consistent entity data, extractable answers, and coverage on sources it trusts.

ChatGPT is the assistant; ChatGPT Search is its live-retrieval mode, running real web queries and citing sources since late 2024. The distinction matters commercially: search-mode answers can change within weeks of your pages being recrawled, while memory-mode answers hold until a model release. A brand strategy that works only one of the two is half a strategy.

GPTBot collects content for model training: what it gathers shapes what future models remember. OAI-SearchBot feeds the index ChatGPT Search retrieves live answers from. They honor robots.txt separately, so you can allow one and block the other. Businesses that block both, usually by accident, remove themselves from ChatGPT’s memory and its citations at the same time.

Split it by surface. Cited answers in search mode can start including you within weeks of recrawled pages and new coverage, which is where programs show first movement. The model’s own memory moves on OpenAI’s release schedule, sometimes months between updates. We baseline your mentions in month one, so progress is measured against a record instead of a feeling.

Yes, visibly: clicks on cited sources arrive in your analytics as referrals from chatgpt.com, and those visitors tend to land pre-sold, because the assistant already framed the recommendation. The referral count understates the effect, since many buyers hear the name, never click, and search for you directly later. We report both the referrals and the branded-search movement beside them.

Make the catalog machine-legible. Product schema that matches each visible page, accurate availability and pricing, a merchant feed kept current where OpenAI accepts them, and review volume on the platforms shopping answers summarize. Selection is organic, so there is no placement to buy. The surface is new and its rules keep shifting; clean product data is what holds through the changes.

Patterns from our prompt panels are consistent: established publications and industry press, review platforms and directories, community threads where real users compare providers, and brand pages that answer the retrieved question directly. The exact mix differs by category, which is why the audit maps which sources ChatGPT actually cites in your market before any coverage work is scoped.

Mostly, yes. The signal base this page describes, crawlable answers, consistent entity data, third-party coverage, is what Gemini and Perplexity retrieve from too, so the work compounds across assistants. Weighting differs per engine, and Google’s AI surfaces lean harder on classic rankings. Our monthly report breaks mentions out per engine, so the differences stay visible instead of averaged away.

A brand-mention baseline across your buyer prompts, entity and description reconciliation, extractable answer content on the pages that matter, third-party source coverage, crawler access and technical fixes, and a monthly prompt-sample report with chatgpt.com referral tracking beside it. It runs inside our search programs month to month, no long contract, and the audit findings are yours either way.