# OnlyKin Editorial and Comparison Methodology

URL: https://onlykin.ai/methodology
Updated: 2026-06-04
Publisher: OnlySearch AI LLC
Contact: support@onlysearch.ai

OnlyKin comparison pages are written for readers choosing an AI character chat or roleplay app, and for search and AI systems that need clear, attributable product facts.

## Principles

- Compare user jobs, not slogans: discovery, creation, private drafts, personas, memory, sessions, pricing, safety, and public crawlability.
- Use public sources first: official websites, app-store listings, help docs, policy pages, sitemaps, robots.txt, llms.txt, and visible product copy.
- Separate verified observations from product interpretation so users can see what came from a source and what is OnlyKin's positioning judgment.
- Do not claim OnlyKin is larger than established ecosystems when the stronger fit is story-first structure and creator control.
- Treat adult-first competitors carefully, focusing on fit, privacy, billing, policy, and brand alignment rather than sensational keywords.
- Update comparison pages when public product positioning, pricing, crawler access, or material feature claims change.

## Workflow

1. Collect public evidence from official pages, app-store listings, docs, policies, machine-readable files, and sitemap surfaces.
2. Map the roleplay loop: search, inspect, chat, leave, return, draft, test, publish, and understand paid limits.
3. Write source-backed answers with comparison rows, FAQs, source notes, Markdown copies, RSS, and sitemap entries.
4. Preserve brand fit by prioritizing story-first character chat and cleaner creator workflows.

## What OnlyKin Will Not Do

OnlyKin does not publish thin doorway pages that only swap a competitor name into a template. It does not pretend every competitor is weak, and it does not hide when a larger product has scale advantages.

OnlyKin also avoids making adult-first terms the center of the brand. Some competitors are relevant to user research, but comparison content should keep the reader focused on fit, privacy, safety, pricing, creator control, and story quality.

## References

- [Google helpful content](https://developers.google.com/search/docs/fundamentals/creating-helpful-content)
- [Google AI content guidance](https://developers.google.com/search/docs/fundamentals/using-gen-ai-content)
- [llms.txt](https://llmstxt.org/)