Press & Media Kit
Resources for journalists and researchers. 9 AI companion platforms tracked since January 2026. Methodology v1.0 disclosed. CC BY 4.0 licensed.
Lead Editor
Nolan Voss
Tracks Reddit, YouTube, and Google Play sentiment across 13 AI companion platforms.
Methodology
v1.0
Sources, classifier prompt, and exclusion rules public and versioned.
About AI Companion Picker
AI Companion Picker is an independent review and research site tracking AI companion platforms (Replika, Character.AI, Kindroid, Candy AI, and others). The site publishes editor reviews, community-pulse sentiment data sourced from public Reddit, YouTube, and Google Play discussions, and bi-weekly trend analysis with full methodology disclosed.
The site is operated independently. Platform integrations include affiliate links on consumer-facing pages; this disclosure is on every review. No platform sponsors editorial coverage, methodology, or sentiment-data publication.
Boilerplate paragraph (copy verbatim)
AI Companion Picker (aicompanionpicker.com) is an independent review and research site that tracks 13 AI companion platforms. It publishes editor reviews, community sentiment data from public Reddit, YouTube, and Google Play sources, and bi-weekly trend analysis. All public datasets are licensed CC BY 4.0; methodology version v1.0 is published in full at aicompanionpicker.com/about/methodology/.
Lead Editor — Nolan Voss
Lead Editor & AI Companion Reviewer
Nolan has spent 200+ hours hands-on testing AI companion platforms. He oversees the editor reviews, the community-pulse pipeline, and methodology decisions. He’s the named source for press inquiries and quotable analysis.
Direct contact: nolan@aicompanionpicker.com.
Credentialing line (copy verbatim)
“Nolan Voss, lead editor at AI Companion Picker, which tracks Reddit, YouTube, and Google Play sentiment across 13 AI companion platforms with methodology disclosed and versioned at aicompanionpicker.com/about/methodology/.”
Methodology
The community-pulse dataset combines public Reddit threads, YouTube video reviews + comments, and Google Play store reviews. An LLM classifier (Claude Haiku 4.5) scores sentiment across five fixed aspects (Character Quality, Pricing & Value, Image/Media Generation, Privacy & Safety, Customer Support). Scores update on a bi-weekly cadence (1st and 15th of each month).
The methodology page publishes the full classifier prompt verbatim, sample sizes per cycle, parameter tables, exclusion rules, and a versioned change log. Methodology version v1.0 is the current release. Citations should reference the version used so readers can verify against the methodology that produced the cited data.
Read full methodology →Transparency Commitment
Our standing offer to fact-checkers
We publish raw data, classifier prompts, and exclusion rules. Verify our work. Email nolan@aicompanionpicker.com for collector scripts, sample input/output pairs, or methodology revision history.
- ✓ Classifier prompt published verbatim at /about/methodology/
- ✓ Sample sizes by source published per cycle
- ✓ Exclusion rules documented and parameter values frozen per methodology version
- ✓ CSV downloads include license + methodology metadata in header rows (offline-verifiable)
- ✓ JSON API includes methodology URL + version in every response
Best for / Not Suitable for
Best for
- ·Trend analysis over weeks, months, or quarters
- ·Comparing community sentiment across platforms
- ·Identifying which user concerns are driving overall sentiment (per-aspect breakdown)
- ·Pricing-perception, customer-support, and feature-quality reporting
Caveats
- ·Bi-weekly cadence: events within the past 14 days may predate the most recent window. Cite the dated snapshot URL, not the latest alias.
- ·Public-discussion sample, not statistically representative
- ·English-language sources only
- ·Six platforms in the tracking list have insufficient signal (per confidence-threshold gate; see methodology)
Latest Dataset Snapshots
Per-platform snapshot for June 2026. Each row links to the dashboard, dated CSV, dated JSON, and pre-rendered SVG charts you can embed or screenshot directly.
| Platform | Score | Resources |
|---|---|---|
| Kupid AI 2 months tracked | 3.9 | |
| Kindroid 6 months tracked | 3.4 | |
| Anima AI 6 months tracked | 3.0 | |
| Candy AI 6 months tracked | 2.4 | |
| CrushOn AI 6 months tracked | 2.1 | |
| DreamGF 2 months tracked | 2.1 | |
| Nomi AI 3 months tracked | 2.1 | |
| Replika 6 months tracked | 2.1 | |
| Paradot 6 months tracked | 1.7 |
Cite the dated snapshot URL (CSV or JSON) in stories. The dashboard URL is fine for general reference; the CSV/JSON is what locks the citation to a specific methodology version.
Editorial Chart Images
Pre-rendered SVG charts for editorial use. Right-click + Save As to download. Embed code (with required attribution) is generated by the “Embed this chart” button on every dashboard page.
Kupid AI · dashboard · download SVG
Kindroid · dashboard · download SVG
Anima AI · dashboard · download SVG
Candy AI · dashboard · download SVG
Thumbnails are previewed on a white panel because the chart SVGs adapt to the visitor's OS color preference; on the press kit’s dark surface, light-mode renderings would be invisible. Embedded charts on a partner site adopt the host page’s color scheme automatically.
Pick the time-window slice that matches your story arc on each platform’s dashboard (slice picker in the embed modal). Slice URL pattern: /widgets/[platform]/[metric]/[period].svg.
How to Quote Us
Quotes from Nolan Voss should be attributed as “Nolan Voss, lead editor at AI Companion Picker.” Direct quotes can be reviewed by email before publication on request.
Suggested attribution framing
Source: AI Companion Picker (methodology v1.0, June 2026)Inline prose template
According to AI Companion Picker, which tracks Reddit, YouTube, and Google Play sentiment across 13 AI companion platforms, [specific finding from the dataset]. Source: https://aicompanionpicker.com/community-ratings/dashboards/[platform]/Full citation format reference: research hub citation section.
Logo
The logo is a single SVG with a gradient that renders correctly on both light and dark backgrounds. Right-click + Save As, or fetch from /images/logo.svg.
Trademark note: the AI Companion Picker name and logo are not licensed under CC BY 4.0. Use them for attribution and editorial reference only; do not use to imply endorsement.
Press Contact
Direct line to Nolan Voss, lead editor. Press inquiries get prompt attention; mention your deadline in the subject line for time-sensitive stories.
As Cited By
This space populates with links and logos as our data is cited in the wild. Already published a story or paper using AI Companion Picker data? Send the link to nolan@aicompanionpicker.com and we’ll add it here.
Methodology v1.0
Sources, classifier, exclusion rules
Research Hub
Citation formats, key findings
Data & License
CSV downloads, API, CC BY 4.0 terms