Insights·Playbook
How to Get Your Brand Cited by ChatGPT: The Working Playbook
A concrete, sequenced program for earning citations in ChatGPT answers: what to fix first, what to publish, where to earn mentions, and how to verify movement.
January 6, 2026 · 8 min read · Holmby Lane Research

This is the program we run when a brand needs to show up in ChatGPT answers. It works in sequence: each phase feeds the next, and skipping ahead wastes the later phases on a foundation that cannot support them.
Phase one: make yourself retrievable
Before anything else, confirm the machine can read you.
- Check your robots.txt for AI crawler access. OAI-SearchBot and GPTBot handle OpenAI's retrieval and training respectively. Blocking retrieval bots removes you from consideration entirely.
- Render critical content server-side. Retrieval systems read HTML. Content that only exists after JavaScript execution may as well not exist.
- Confirm you are indexed by Bing. ChatGPT's browsing has historically leaned on Bing's index, and plenty of brands that obsess over Google have never opened Bing Webmaster Tools.
Phase two: make your facts liftable
ChatGPT quotes what it can lift cleanly. Audit your key pages against one question: could a model extract who we are, what we do, who we serve, what we cost, and why we are credible, each as a standalone sentence?
Most sites fail this. Positioning language ("reimagining commerce") is unliftable. Rewrite the money pages so every important claim exists as a plain declarative sentence. Add schema markup so the same facts exist in machine-readable form. This is unglamorous and it moves answers more than anything else on this list.
Phase three: win the retrieval set
Ask ChatGPT your buyers' questions and note which sources it cites. That citation list is your target list. In most categories it includes a few list articles ("best X for Y"), one or two review platforms, a community thread or two, and recent press.
Then, in order of effort:
- Get onto the lists that already get cited. Many accept submissions or respond to a well-argued pitch. Accuracy matters more than flattery: give them liftable facts too.
- Build presence on the review platforms for your category. Engines treat aggregated reviews as corroboration.
- Earn recent coverage. Answers skew toward fresh sources. A steady drip of genuine coverage beats one old feature.
Phase four: publish what the engine wants to read
Create the comparison and question pages your category lacks: honest comparisons including competitors, pricing explainers, "how to choose" guides. These formats dominate retrieval sets because they match question intent directly. One strong page per question. Duplicating your own coverage splits your authority against itself.
Phase five: verify movement
Fix a set of twenty to forty real buyer prompts. Ask them daily, log who gets named and cited, and watch the trend, not any single answer (engines are stochastic; single answers mean nothing). Expect entity and retrievability fixes to show up in weeks, citation work in one to two quarters.
That is the whole program. No tricks, no prompt injection, no hidden text: those get patched and burned. The durable version is simply becoming the brand the web corroborates, in a form machines can read. The earlier explainer on how ChatGPT decides which brands to recommend covers why each phase works.
Put this to work
Holmby Lane runs AEO-led growth programs: entity work, citation campaigns, and the content AI engines actually retrieve, measured against your buyer prompts daily.
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