How do we decide whether a prompt page should exist?
A prompt page should exist only when it can solve a distinct task better than an existing page. The review starts with recurring Search Console language, visible model workflows, and the actual change a searcher is trying to make. We compare that intent with the current library, define the page's primary job, and identify which neighboring page should handle narrower or broader variants. A new URL is rejected when it would mainly repeat the same prompts, title, or preservation rules. When a query already belongs to a published page, we improve that page instead. Accepted topics need copy-ready prompts, clear constraints, a practical use path, and enough unique guidance to stand on their own. Brand-sensitive, unsafe, deceptive, adult, illegal, or high-risk topics are not routine growth candidates. This process is designed to keep the site focused even when a trend produces many similar keyword variations.
Prompt writing and review
- Prompt text identifies the subject, requested change, visual details, format, and constraints needed for a stable result.
- Reference-image prompts state what must remain unchanged, including identity, pose, body, background, lighting, or camera angle when relevant.
- Pages are checked for unique titles, descriptions, canonicals, internal links, readable headings, and copy-ready prompt text before deployment.
- Examples are labeled as AI-generated examples or clearly described placeholders; the site does not claim a result was produced by a named model unless that information is known.
Updates and corrections
Pages may be updated when search queries reveal a clearer intent, when model behavior changes, when two pages begin competing for the same query, or when an example or instruction is no longer useful. The visible updated date reflects the page data used in the current build. Material errors should be corrected in the source page rather than hidden behind a new URL.
AI assistance
AI can assist with drafting, variation, grouping, and quality checks. The published structure, search intent, links, metadata, and deployment are reviewed through source checks, automated tests, build validation, public page inspection, and search performance data. AI assistance does not make the site an official source for a model provider.
What does our review prove?
A completed review proves that the source data is structurally valid, the page builds, required metadata and links render, and the published copy serves its declared intent. It does not prove that every model will return the same image, that an output is legally cleared for every commercial use, or that a page will rank. Model providers control product availability, safety behavior, editing precision, and terms. Search engines control crawling, indexing, and ranking. We therefore separate observed site checks from external outcomes and update pages when new evidence conflicts with the current wording.
Which standards inform the process?
The site uses first-party product help for current generation and editing workflows, and Google Search Central guidance when reviewing content quality and search presentation. These references inform the process; they do not imply endorsement or affiliation.
Commercial separation
Prompt content is currently optimized for organic discovery and on-site usefulness. External advertising links are paused. If commercial links are introduced later, their destination and label must match the visitor's expected next step.