Community & UGC
Community Intelligence: reading the communities AI engines read
Community Intelligence is the part of SolCrys that works on the surfaces you do not own. It starts from measurement rather than guesswork: the subreddits it targets are the ones that actually appeared in citations for your tracked prompts over the last 90 days, not the ones a keyword tool suggests. From there it scores live threads for subject fit, drafts a reply grounded in your Corporate Context, checks that draft against the specific subreddit's posting rules, and hands it to a person. Publishing is copy-assisted and manual. There is no API-post path in the product, which is a deliberate architectural decision rather than a roadmap gap - community credibility is the asset, and automation is how brands destroy it.
Updated
Questions this guide answers
- What is Community Intelligence in SolCrys?
- How do I find which subreddits AI engines cite for my category?
- Can SolCrys post to Reddit automatically?
- How do I do Reddit outreach without getting banned?
- Does Reddit still matter for AI search?
Direct answer
Community Intelligence is SolCrys's workflow for the community source layer. It answers four questions in order: which communities do answer engines actually read for my category, which live threads are worth a reply, what would a credible reply say, and does that reply break the rules of the specific place it is going.
The flow is deliberately aim-then-fire. Building the targeting playbook is fast and costs nothing, so you can see the map before you commit any scan quota. Reviewing and editing that map is a separate step. Only then does the engine scan threads and produce drafts.
What it does not do is post. There is no API-post path anywhere in the product - drafts are copied by a person into a browser. That is the design, not an unfinished feature.
Targeting comes from citation evidence, not from keywords
Most Reddit advice starts with a keyword search and a list of large subreddits. That produces the communities with the most traffic, which is a different set from the communities an answer engine reaches for when someone asks a buying question about your category.
The playbook is built from your own measurement instead. For each candidate community it carries what the engines did over the last 90 days: how many citations came from it, how many of your tracked prompts it was cited on, and how often your brand was actually mentioned in the threads that got cited. A community that shows up repeatedly in citations for prompts you care about earns a place; a large subreddit that never appears does not.
You then edit the map before anything runs - include or exclude communities, add or remove the anchor queries used to find threads. The engine proposes; a person decides where the brand shows up.
One honest caveat on where that evidence now comes from: ChatGPT stopped showing Reddit as a visible citation in August 2026, so its contribution to this targeting signal has largely gone quiet while Google AI Overviews and Perplexity continue to cite community sources normally. The measurement behind that change, engine by engine, is in our citation study.
From thread to draft to a person
Once the map is approved, the engine scans for live threads and works through three gates before anything reaches you.
Subject fit, scored
Every candidate thread is scored for how closely it matches what you can credibly speak to, on a 0-100 scale, and low scorers are dropped rather than drafted. This gate exists because the failure mode of community automation is not bad writing - it is showing up in a conversation that has nothing to do with you, which is the single fastest way to be read as spam by both moderators and regulars.
A draft grounded in Corporate Context
Drafts are written against your Corporate Context - the approved record of what is true about your company - so a reply cannot invent a capability, a customer, or a number. Community moderators are unusually good at catching vendors who overstate; the grounding layer is what keeps a helpful answer from quietly becoming a claim you cannot support.
A rules check against that specific community
Subreddits do not share one rulebook. Self-promotion limits, disclosure requirements, link policies and account-age gates vary per community, and breaking one is how a brand loses a channel permanently. Each draft is checked against the rules of the place it is aimed at - deterministic checks for the mechanical constraints, plus a judging pass for the ones that require reading - and the result is attached to the draft.
The check is quota-reserved before it runs, so a provider timeout cannot silently skip it. A draft that has not been checked is not presented as if it had been.
Why the loop stops at the clipboard
The obvious next feature is a publish button, and we have deliberately not built it.
Community standing is earned by an identifiable person participating over months, and it is the one AEO asset that cannot be bought back once it is spent. An automated poster is indistinguishable from the behaviour every serious community bans on sight, and the penalty lands on the brand, not on the tool. It also fails the more basic test: a reply worth posting is one a named colleague is willing to attach their name to, and that judgment cannot be delegated to a scheduler.
So the product optimises the expensive part - finding the right room, judging whether you belong in the conversation, and drafting something defensible - and leaves the thirty seconds of paste-and-send to a person who is accountable for it. Our own rules for this are published: editorial standards.
What Community Intelligence is not
Three boundaries worth stating plainly.
- Not an autoposter. No API-post path exists in the product, on any plan.
- Not a sock-puppet farm. Drafts are written for a named person with a disclosed affiliation. The workflow assumes one real account, not a pool of them.
- Not a replacement for participation. The engine finds the thread and drafts the answer; it cannot manufacture the standing that makes an answer land. A brand with no history in a community will be read as a brand with no history in a community.
Where this sits in the loop
Community Intelligence feeds the same queue everything else does. A thread worth answering becomes an action in the Action Hub with an owner, and the measurement that justified it travels with it.
Reddit is the first surface because it is where the evidence pointed. The same shape - measure where engines look, judge fit, draft under governance, stop before publishing - is how we intend to approach other community surfaces.
FAQ
Does SolCrys post to Reddit for me?
No, and not as a limitation of your plan - there is no API-post path in the product at all. Drafts are copied by a person into the browser. Community standing is the asset, automated posting is how brands lose it, and a reply worth publishing is one a named colleague will attach their name to.
How does SolCrys decide which subreddits to target?
From your own citation data rather than from keyword volume. Each candidate community carries what answer engines did with it over the last 90 days - citations produced, how many of your tracked prompts it was cited on, and how often your brand was actually mentioned in the cited threads. You review and edit that map before any scan runs.
Is Reddit still worth it after ChatGPT stopped citing it?
On Google AI Overviews and Perplexity, yes - their Reddit citation rates were unaffected by the August 2026 change. On ChatGPT the honest answer is that community work no longer produces a visible citation there, though the threads are still part of what engines read about you, and buyers still read them directly. The engine-by-engine measurement is in our citation study.
Will this get my account banned?
Nothing prevents a person from posting something that breaks a rule - the product cannot control what you paste. What it does is check each draft against the specific community's posting rules before you see it, and drop threads your brand has no credible reason to enter. The residual risk is the ordinary risk of participating in a community, which is why the workflow is built around one disclosed, named account rather than volume.
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