Question 1

How does the ChatGPT GPT Store actually decide what to feature?

Accepted Answer

The GPT Store featured rotation runs on a hybrid of engagement metrics and editorial curation. OpenAI surfaces GPTs that show sustained weekly active users, high task-completion rates, low conversation abandonment in the first three turns, and category coverage gaps. The editorial team in San Francisco picks roughly 12 to 20 GPTs per month for the Featured row, weighted toward verified builders, novel use cases, and GPTs that demonstrate the platform's action-calling capabilities. Volume alone does not earn a feature. Khan Academy, Canva, Consensus, and Wolfram all earned their featured slots through deep Actions integration plus consistent task completion, not raw traffic. Submissions that have skipped the verified builder profile, lack a clear single use case, or hallucinate visibly during reviewer testing get filtered out in pre-screen and never reach editorial. The featured slot still drives roughly 60 to 80 percent of a typical featured GPT's weekly users.

Question 2

What is the GPT Store revenue share and is it worth chasing in 2026?

Accepted Answer

OpenAI's GPT Store revenue program pays builders based on user engagement inside the GPT, with payments tied to ChatGPT Plus and Team subscriber usage. The original 2024 announcement promised payouts proportional to engagement; through 2025 OpenAI moved to a quarterly per-conversation rate disclosed only to enrolled US-based builders, with reported rates ranging from roughly two to fifteen cents per qualified user-session depending on category. For a GPT with 100,000 monthly active sessions, that pencils out to between twenty-four thousand and one hundred eighty thousand dollars per year, before any spillover brand value. For a top-1,000 GPT that figure is real revenue. For everyone else, the GPT Store is better treated as a brand-visibility and AEO channel than as a direct monetization play, with revenue share as upside rather than the primary thesis.

Question 3

Should a brand build a custom GPT or a Claude Skill in 2026?

Accepted Answer

Build both if you can afford the engineering hours, build a GPT first if you have to choose. ChatGPT's weekly active user base sits at roughly 700 million according to OpenAI's late-2025 disclosures, while Anthropic's Claude reports a much smaller but faster-growing user base concentrated in technical and enterprise audiences. A branded GPT reaches the largest conversational surface. A branded Claude Skill reaches the audience most likely to pay enterprise software prices and most likely to recommend tools internally. The build itself is largely portable: the instructions, the Actions or tool definitions, the privacy disclosures, and the brand-voice prompt all translate between platforms with minor adjustments. The submission and review processes differ, and Claude Skills currently rewards developer-tool and analytical use cases more readily while GPT Store rewards consumer-facing utilities and creative tools.

Question 4

Can a branded GPT change how ChatGPT cites my brand for related queries?

Accepted Answer

Yes, and the citation lift is one of the most underrated reasons to ship a branded GPT. When a user installs or uses a branded GPT, ChatGPT memory captures the interaction context, and subsequent queries in the same account about the brand's category surface the GPT as a suggested action. More importantly for AEO, OpenAI's general ChatGPT mode now references GPTs as primary sources for category-specific queries even for users who never installed the GPT. A Consensus query for medical research routinely points to the Consensus GPT alongside web citations. A Canva query for design templates surfaces the Canva GPT. This bidirectional reference — GPT to web and web to GPT — measurably increases the brand's share-of-citation for category queries by roughly 15 to 40 percent in our 2026 audits, depending on how prominent the GPT becomes in the Store.

Question 5

What gets a GPT submission rejected by OpenAI's review process?

Accepted Answer

OpenAI rejects GPT submissions for five recurring reasons that builders consistently underestimate. First, unverified builder profile: GPTs from un-verified domains never reach the Store, only the private link. Second, brand impersonation: a GPT named or styled to look like an official OpenAI, Microsoft, Apple, or trademarked brand product gets removed within hours of detection. Third, policy violations including explicit content, medical or legal advice without disclaimers, and political persuasion content. Fourth, broken Actions: GPTs whose configured Actions return errors during reviewer testing get held until the OpenAPI specification is corrected. Fifth, low-quality instructions: GPTs with generic prompts that just wrap ChatGPT without adding capability or expertise get rejected as not adding value. The fix path is the same across all five: complete builder verification, ship a single concrete use case, test the Actions end-to-end, and write instructions that demonstrably outperform vanilla ChatGPT on representative tasks.