AIAI Girls Expert
How we work

How we review AI companion apps

The research process we use to compare adult AI companion apps — separate from how the site is funded.

How we review Affiliate disclosure

Adult-only informational site. We may earn a commission from some partner links. Pricing and policies change — verify official sites before paying.

Overview

This page explains how AI Girls Expert researches and structures AI companion guides. For how the site is funded and how affiliate links work, see the Affiliate Disclosure. For independence rules, see the Editorial Policy.

Quick answer

We compare adult AI companion apps using a fixed set of buyer factors: intended use case, free-tier limits, paid pricing and credit models, chat/memory quality signals available from public materials, media features (images, voice, video), privacy and data language, billing/cancellation paths, and realistic alternatives. We prioritize verifiable product information over marketing slogans. We do not publish template star ratings or review counts that we cannot substantiate.

What “review” means on this site

A review or comparison page on AI Girls Expert is a research-based buyer guide. Unless a page explicitly documents a controlled hands-on test protocol, treat scores and rankings as editorial structure for comparison — not as a claim that thousands of users rated the product on our site, and not as a substitute for your own trial.

We do not:

  • Invent user review counts
  • Copy a single template star score across unrelated products
  • Present affiliate commission rate as quality
  • Promise that an app is “safe for everyone” or “always worth it”

Standard comparison checklist

When a page covers a product or head-to-head matchup, we aim to address the factors below. Not every factor has a public answer for every app; when data is missing, we say so.

1. Job-to-be-done

Different users need different things: casual chat, long-term memory, anime roleplay, image generation, voice, video, or lower monthly cost. We frame products against use cases instead of a single universal “best.”

2. Free access and limits

  • Whether a free tier or trial exists
  • What is capped (messages, images, models, daily usage, memory)
  • Whether free use is mainly a funnel into paid credits

Free almost never means unlimited. We treat free tiers as evaluation tools.

3. Pricing and real monthly cost

  • Subscription tiers when publicly listed
  • Token/credit systems for media
  • Whether voice, video, or higher-quality models are extra
  • Cancellation and renewal wording when we can locate it

Prices change. Readers should confirm the live checkout screen before paying.

4. Features that change the experience

  • Chat style and customization depth
  • Memory / continuity claims
  • Character creation or persona tools
  • Image, voice, and video capabilities
  • NSFW / content-policy boundaries (high-level, adult context)

5. Privacy and data language

We look for plain-language signals such as:

  • What data the product says it collects
  • Account deletion or data-request paths when documented
  • Training or retention statements when present
  • Practical advice: minimize personal identifiers, avoid sharing sensitive real-life details

We are not a law firm; privacy notes are reading aids, not legal advice.

6. Billing and cancellation friction

Before paying, we encourage readers to check:

  • How renewal works
  • How to cancel
  • Whether refunds are described
  • Whether bank descriptors are discreet (when the product documents this)

7. Alternatives

Good methodology includes “who else to consider.” A review that never names alternatives is incomplete for a comparison site.

How we gather information

Typical inputs:

  • Official marketing, pricing, and help documentation
  • Publicly visible product UI/copy when available without misrepresenting access
  • Prior versions of our own pages when updating for drift
  • Cross-checks across multiple official URLs when claims conflict

When sources conflict, we prefer the more specific, more recent official pricing or policy page and note uncertainty rather than force a clean story.

How pages are structured

Most guides use a predictable reader path:

  1. Who the product may fit
  2. Cost and free-limit caveats
  3. Feature and privacy/billing notes
  4. Alternatives
  5. Practical FAQ

We may use comparison tables. Tables are editorial tools; cells should describe factors, not invent star averages.

Ratings and scores policy

Unsupported aggregate ratings are not used.

Specifically:

  • We do not publish user-average stars or review counts unless we have a real, documented review corpus that matches those numbers.
  • We do not reuse the same template score across different apps.
  • If a future page uses an editorial score (for example a 1–5 fit score for a named use case), it must meet all three rules below:
    • Be labeled as an editorial score, not a user average
    • Explain the criteria on this Methodology page or on-page
    • Never invent a user review count to make the score look crowd-sourced

Until a verified scoring system is implemented, prefer qualitative fit language (“strong for X, weak for Y”) over stars.

Limitations (read this)

  • We cannot continuously re-test every app every day.
  • Screenshots, prices, and policies go stale.
  • Adult AI products vary by region and account type; your experience may differ.
  • Emotional well-being, addiction risk, and relationship advice are outside our product-comparison scope beyond general caution.
  • Affiliate relationships (see Disclosure) can create a commercial incentive to surface partner products; our process is designed to keep comparison criteria consistent anyway, and readers should still verify claims independently.

Updates

High-traffic or high-risk pages should be re-checked when we learn of major pricing or policy changes. Visible “updated” dates, when present, refer to editorial revision of that page—not to a live API feed from each vendor.

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