Adult-content scope · 15%
We look for an explicit, current statement that the service supports adult fictional content. A general companion label earns less confidence than a specific published rule. We do not infer niche permission from a gallery.

We compare the same public facts across every named service. Our September 2026 ranking weighs whether a reader can identify an original adult character workflow, see image and video access, understand cost, and tell which claims remain unverified. We do not describe a public comparison as a paid product test.
Every character shown is an AI-generated adult. No real people are depicted.
Each criterion describes evidence a reader can inspect before paying. The percentages express priority for a visual-first adult character project, not a claim that we measured every product. Character creation and still images carry the most weight; chat matters more in a roleplay-first comparison.
We look for an explicit, current statement that the service supports adult fictional content. A general companion label earns less confidence than a specific published rule. We do not infer niche permission from a gallery.
We check whether a user can define a custom original character and which fixed traits are publicly documented. A visible builder earns more confidence than an unexplained promise of personalization.
We check for a public image tool, the needed plan or balance, and whether the tool is integrated with a saved character. Existence is different from measured visual quality; we leave quality unrated without a recorded generation session.
We check whether a video workflow is publicly shown and whether its access is separate from still images. Motion claims need a real tool page, not merely a moving banner.
We record chat access and listed memory or context features. We do not claim long-term coherence without a dated transcript and a repeatable test.
We look for a current provider-published entry amount, billing period, media allowance and extra-credit terms. Missing cost information lowers decision confidence, not necessarily product quality.
We separate official, dated documentation from unsourced directories or similarly named products. If the exact product identity is unclear, its feature cells remain unverified.
For each criterion, we record verified in public documentation, partially documented, or unverified. If a numeric evidence-confidence grade is needed internally, 8/10 means the feature and its access or cost are documented in current official material; 5/10 means the feature is stated but the access path or limits are unclear. These are evidence grades, not output ratings.
A ranking position follows the reader’s job. CandyAI is first for a visual-first project because its official plan lists custom characters, adult images and video with a visible entry price and token allowance. Its limitation—the separate visual meter—appears in every verdict. LoveScape documents a similarly broad suite but requires a Chips calculation. GoLove has a recorded Pro entry price, while Star costs remain less clear. CrushOnAI has a lower published chat entry but an unproven adult image path on the checked edition. JoyAI has clear persona and chat plans, but no listed visual creator.
New official documentation or a dated first-hand test can change these positions.
We read publicly reachable official feature, help and subscription pages. We did not create accounts, buy plans, send prompts to a logged-in tool or record raw generation performance. Accordingly, we compare published access and functionality; we do not say that we measured latency, resolution, consistency, moderation decisions or success rates for this niche.
Claims that change often carry a month marker. Prices are in the provider’s displayed currency and may vary by region, term or promotion. If a public page does not reveal a stable amount, we say so instead of filling it with a third-party estimate. The current provider checkout controls an actual purchase decision.
The reviews hub shows all seven cells for all five services. Each deep review repeats the same questions, names a limitation and points to two alternatives. Send factual corrections to contact@ai-generated-futa.org with the page URL and the source of the correction.