AI assistants and search decision
ReddGrow AI
A competent developer can build a narrow replacement (scanning Reddit, generating drafts, and tracking AI citations) using existing APIs and OSS tools, but reproducing the full product (extension, account pacing, enterprise features, and managed operations) is non-trivial.
Visit website↗Open-source builds that already do this
Every project below is open source and already does this job today. Fork one, self-host it, or take the parts you need — the build prompt further down assumes an empty file, and this is the shortcut past that. Licences differ; check the one on each card before you ship.
What a replacement has to do
- Find Reddit threads that AI assistants cite for target queries, filter matches for relevance, generate on-brand comment drafts with an LLM, and publish/schedule comments from brand Reddit accounts while tracking whether AI assistants cite the brand.
What it still won’t have
- Chrome extension for in-browser commenting
- Paced Reddit account management and anti-ban heuristics
- Priority support and SLAs
- Prebuilt analytics dashboards and integrations (Slack, exports)
- Whitelabel/agency features and client portals
What remains hard
- Product polish and ongoing maintenance
First-year cost
Keep paying
Paying is—cheaper in year one.
On cash alone, building overtakes the subscription at 1 seat.
Money you would actually spend
Time you would spend
—
What you would spend
What we assumed
The verdict above measures whether you could build it. This one is only about money.
Runnable build prompt
Build a lightweight ReddGrow replacement using Node.js (Express) + PostgreSQL + a minimal React admin UI. Core features in scope: (1) fetch and store AI assistant responses for given keywords (simulate real-user queries or use available endpoints), (2) index Reddit posts via Reddit API/Pushshift and match them to AI-cited threads, (3) generate comment drafts using OpenAI-compatible API with templating and safety checks, (4) schedule/publish comments via Reddit API or browser automation and record metadata, (5) simple analytics page showing citation counts over time and per-campaign. Out of scope: multi-account anti-ban orchestration, whitelabel exports, enterprise billing, and Chrome extension. Include error handling, retries, logging, and a test suite covering the matching logic and comment-generation templates.
How we checked
How the score was reached
- Partly verdict base52
- An open-source build was found+5
- 4 cited sources+3
- Price verified on pricing page+3
- Evidence score63
The base comes from the verdict. Everything under it is a check that either happened or did not, and each one is a fact frozen in this record rather than a judgement made at render time — so the same evidence always produces the same number.
How scoring works →Cited sources · 4
Every page the run actually retrieved.
- official productReddGrow | Get Cited by ChatGPT, Claude, Gemini & Perplexity
- official pricingReddit AI Visibility Pricing | ReddGrow
- open sourcearc53/DocsGPT
- open sourcedzhng/deep-research
Integrity checks
What held up, and what did not.
