Where Reddit decides the answer: the categories AI models source from threads
Reddit drew 1,058 citations, 3.6% of all, and was the top source in AI video generation and app hosting. Twelve categories did not cite it at all.
Figure 01 · Edition 2026-09
AI video generation
How often each product was named, and how often it appeared first.
- VeoNamed: 100%Named first: 56%
- RunwayNamed: 92%Named first: 28%
- KlingNamed: 80%Named first: 4%
- SoraNamed: 70%Named first: 4%
- HeyGenNamed: 48%Named first: 0%
- SeedanceNamed: 44%Named first: 8%
- SynthesiaNamed: 38%Named first: 0%
- LumaNamed: 32%Named first: 0%
Top 8 by answer share · 50 answers
10 models · 5 prompts · Memetik Index, 2026-09
Shares use all 50 answers as the denominator. Multiple products can appear in one answer. First position does not measure recommendation strength.
Key findings
Reddit was cited 1,058 times across 33 categories and ten models, second only to YouTube (2,669).
Reddit was the single most cited source in AI video generation (128 citations) and app hosting for startups (57).
Reddit citations concentrate in fast-moving and infrastructure categories: LLM observability (88), transactional email (58), product analytics (47), subscription billing (46), LLM APIs (45).
Twelve categories had no Reddit citation among their top sources, including AI avatars, AI code review, AI coding agents, AI meeting notetakers, AI outbound and AI voice.
The most cited subreddits, where the URL exposes one, were r/AI_Agents (39), r/SaaS (28), r/webdev (18), r/LangChain (17) and r/generativeAI (16).
Reddit was the top cited source in two categories and the second most cited host overall, with 1,058 citations against YouTube’s 2,669. Where YouTube leads in software with a tutorial economy, Reddit leads where the category is too new for settled reviews and where buyers are engineers comparing infrastructure.
In which categories did Reddit lead?
| Category | Reddit citations | Category leader | Providers agree on leader |
|---|---|---|---|
| AI video generation | 128 | Veo (100%) | Yes, all four |
| App hosting for startups | 57 | Vercel (92%) | Yes, all four |
Where else is Reddit heavily cited?
| Category | Reddit citations | Top source |
|---|---|---|
| LLM observability | 88 | confident-ai.com |
| Transactional email | 58 | mailtrap.io |
| Product analytics | 47 | amplitude.com |
| Subscription billing | 46 | youtube.com |
| LLM APIs | 45 | syncfusion.com |
| Automation platforms | 39 | youtube.com |
Developer categories where the top source is a comparison page on a vendor or content site, with Reddit as the second opinion.
Where is Reddit absent?
Twelve categories had no Reddit citation among their top sources, among them AI avatar video, AI code review, AI coding agents, AI meeting notetakers, AI outbound and AI voice generation. Most are the categories where YouTube is strongest; the models go to video reviews, not threads, for tools that demo well on screen.
Which subreddits are cited?
Where the cited URL exposes the subreddit (Gemini’s grounding redirects resolve to reddit.com without a path, so this undercounts), the most cited were r/AI_Agents (39), r/SaaS (28), r/webdev (18), r/LangChain (17), r/generativeAI (16), r/LocalLLaMA (15), r/startups and r/LLMDevs (13 each). The models cite the thread page, not an individual comment. A thread titled “Best X for Y?” with a dozen replies naming products is the unit retrieved.
What this means for a vendor
In infrastructure and new AI categories, the models read Reddit the way they read review sites in older markets. A vendor with no presence in the threads that answer its buyers’ questions is absent from the second most cited layer. The presence that counts is a real user naming the product in a “best X” thread; the models cite the thread, not the vendor.
Limitations
Host counts treat all Reddit URLs as one host; subreddit-level counts cover only URLs that expose a path. Reddit citation counts come mostly from Gemini and Perplexity. One edition.
Explore 1 more category chart
Figure 02 · Edition 2026-09
App hosting for startups
How often each product was named, and how often it appeared first.
- VercelNamed: 92%Named first: 62%
- AWSNamed: 84%Named first: 0%
- RenderNamed: 82%Named first: 16%
- CloudflareNamed: 68%Named first: 0%
- RailwayNamed: 66%Named first: 4%
- Google CloudNamed: 60%Named first: 2%
- Fly.ioNamed: 56%Named first: 0%
- DigitalOceanNamed: 56%Named first: 0%
Top 8 by answer share · 50 answers
10 models · 5 prompts · Memetik Index, 2026-09
Shares use all 50 answers as the denominator. Multiple products can appear in one answer. First position does not measure recommendation strength.
Behind the figures
Method and sources
Edition 2026-09: 5 fixed buyer prompts per category, sent to 10 models through their APIs. Each category contains 50 recorded answers. Answer share is the fraction of answers naming a vendor. Named first records the vendor's position before other tracked vendors, not the strength of a recommendation. This is one dated sample; small differences can reflect answer variation. API responses can differ from consumer chat products. Read the full method.
- AI video generation: recorded answers 50 answers · Edition 2026-09
- App hosting for startups: recorded answers 50 answers · Edition 2026-09
Cite this research
Memetik. Where Reddit decides the answer: the categories AI models source from threads. Memetik, 2 September 2026. Data: edition 2026-09. https://www.memetik.ai/research/where-reddit-decides-the-answer
Charts and figures: CC BY 4.0. Credit Memetik Index and link to the source.