The most cited source nobody contests
The platform behind roughly one in eight ChatGPT citations
Reddit is one of the most quoted sources in AI answers and one of the least contested by B2B firms, for a reason that is easy to respect: the culture punishes marketing on sight. The version that works is slow, disclosed, low volume and genuinely useful, which is why so few competitors bother.
Every plan queries all 6. See how each engine picks who it names
What we measured
of Google's cited sources are Reddit, second only to YouTube, while it is zero across 139,601 Anthropic grounding sources (Dan Petrovic, July 2026).
Engines queried
ChatGPT, Claude, Perplexity, Gemini, Google AI Mode, Microsoft Copilot. Every plan, including the free one.
Answers kept
Every answer is stored word for word, so any number on your report can be checked against the text it came from.
The gap this closes
- Almost no founder names a forum thread as their next lead source.
- Ask a language model instead and Reddit is about 2% of Google's cited sources, second only to YouTube (Dan Petrovic, July 2026).
- The work is slow, cannot be automated, and punishes a wrong move publicly.
- Most firms pick communities by name and post about themselves, which fails twice.
What you end up with
- Drafted contributions aimed at real threads, not a posting schedule.
- The map of where those threads are, so scarce effort goes to the right room.
- Contributions that answer the question first and mention you second.
- Presence on a source the engines demonstrably lean on for corroboration.
How it works
Three steps, and you only do the first one.
The questions come from your scan
Buying questions where an engine named a competitor are the same questions people ask each other in public. That list is the search input, so you are looking for threads that matter to your pipeline rather than threads that happen to mention your category.
The draft answers the person, not the market
Each contribution is written to be useful to the individual who asked: specific, first-person, disclosed, and complete enough to stand alone if somebody reads it three years from now. A firm gets named where naming it answers the question, and never where it does not.
You post from a real account, at a low cadence
Nothing posts automatically, and nothing should. A real account with a history is what makes a contribution credible to the community and to anything reading it later. A steady trickle of substantive answers builds standing; a burst does the opposite.
What you get on each plan
You get drafted contributions aimed at real threads, plus the map of where those threads are. This is what lands, per plan, with the monthly volume read live from the plan configuration.
Track
Free- No drafting, but you get the targeting
- The exact questions your market puts to AI engines
- The competitors named in those answers
- The vocabulary to find the human threads
- Usually enough to spot the two or three communities worth your time
Fix
$99/mo- A drafted contribution per scan
- An answer to a real question, plain first-person voice
- Disclosure of who you are, no link unless it helps
- Arrives as a draft on purpose
- You post from a real account with real history
- Same brief as the LinkedIn edition and the X thread
Dominate
$499/mo- Wider budget widens the map of communities
- Competitor detail shows which rival wins in which context
- Answer the question that decides against you
- Volume stays deliberately low
- What increases is precision, not output
Rule
$1999/mo- Portfolio level, where the risk is real
- Several brands in one community reads as a campaign
- A person decides which brand owns which community
- A guard keeps one brand out of another's draft
Which engine actually leans on this
Your row is Reddit and forums. The rest of the grid is on the engines page.
| Channel | ChatGPT | Claude | Perplexity | Gemini | Google AI Mode | Microsoft Copilot |
|---|---|---|---|---|---|---|
| Your own site Schema, answer pages, llms.txt, crawlability | Heavy Vendor | Heavy Vendor | Heavy Measured | Heavy Our read | Heavy Vendor | Heavy Our read |
| Reviews and directories G2, Clutch, Capterra, Trustpilot, Google Business | Moderate Our read | Light Measured | Heavy Our read | Moderate Our read | Moderate Measured | Moderate Measured |
| Reddit and forums Unpaid opinion, where buyers go for the unvarnished view | Light Our read | Light Measured | Heavy Our read | Moderate Our read | Heavy Measured | Moderate Measured |
| Video YouTube. Only counts once there is a transcript | Moderate Our read | Light Our read | Moderate Our read | Heavy Our read | Heavy Measured | Light Measured |
| Newsletters LinkedIn, Substack, Beehiiv. Published under a named person | Moderate Our read | Light Our read | Moderate Our read | Heavy Our read | Heavy Measured | Light Our read |
| News and PR Earned coverage, wire pickup, journalist mentions | Heavy Vendor | Heavy Vendor | Heavy Our read | Moderate Our read | Moderate Our read | Moderate Our read |
Your own site. Your own site counts most for ChatGPT, Claude, Perplexity, Gemini, Google AI Mode, Microsoft Copilot.
Reviews and directories. Reviews and directories counts most for Perplexity. It is a light signal for Claude.
Reddit and forums. Reddit and forums counts most for Perplexity, Google AI Mode. It is a light signal for ChatGPT, Claude.
Video. Video counts most for Gemini, Google AI Mode. It is a light signal for Claude, Microsoft Copilot.
Newsletters. Newsletters counts most for Gemini, Google AI Mode. It is a light signal for Claude, Microsoft Copilot.
News and PR. News and PR counts most for ChatGPT, Claude, Perplexity.
Where this comes from
- OpenAI: publishers and developers FAQ States that a site must allow OAI-SearchBot to be eligible for ChatGPT search at all.
- OpenAI: introducing ChatGPT search The named publisher partnerships behind the news and PR row.
- Anthropic: web search tool documentation Citations are always enabled, and Claude only searches when a question needs current information.
- Google Search Central: AI features and your website AI Overviews and AI Mode report inside the ordinary Search Console Performance report.
- Search Console Help: impressions, position and clicks How AI Mode counts a click, and why a follow-up question is treated as a new query.
- Dan Petrovic: citation mining of OpenAI grounding metadata Reddit retrieved in 76 percent of OpenAI searches and selected 0.61 percent of the time.
- Our production scan database, read 12 August 2026 46 completed reports, 34 brands, 419 buying questions, 2,421 answered buying cells. Where the per-engine mention rates come from.
- Our 15-region managed services study 743 records, 566 named by an engine, and the per-engine corroboration rates.
- What our crawler finds on real sites 39 readable crawls: 38 with no llms.txt, 26 with no FAQ schema, 16 with no Organization schema.
- How we check an AI visibility report The method behind every first-party number on this page, including what it cannot show.
Engine behaviour moves month to month. This table is maintained, not published once.
The proof, including the parts that flatter nobody
The engine figures at the top of this page are Dan Petrovic's, not ours, and they are there because we have nothing better on this specific question. We do not scrape Reddit, we do not measure which comment an engine read, and we are not going to publish an attribution number we cannot derive.
What we can evidence is the starting position. Across the 46 completed reports behind this page, the best any engine managed was naming the brand in 7.4% of the buying questions we put to it, and the others sat between 0.4% and 4.0%, on firms that arrived already suspecting they were missing.
And the measurable test remains the same as every other channel here. The question your contribution answers is a question we re-ask on all six engines, scan after scan, with the answers stored so you can read what changed.
Read the MSP AI Visibility Report 2026 →A worked example: a drafted contribution
Below is a draft written for a firm whose scan showed it absent from questions about after-hours coverage for small manufacturers. The thread, the brand and the poster are illustrative. The structure is what every draft carries.
The thread
r/sysadmin Small manufacturer, 60 users, two shifts. Owner wants to outsource IT but I am worried about 2am coverage. Anyone here done this and had it work?
The drafted reply
Disclosure up front: I run an MSP, so treat this as an interested opinion. We do this for four plants, so here is what I would check before signing anything, including with us. Ask who picks up at 2am. Not which team, which person. If the answer is a rota you are not allowed to see, it is a queue. Get the response window in the contract, and get the consequence of missing it in the same paragraph. A number with no consequence attached is a marketing number. Ask how many after-hours incidents they closed last quarter without escalating to the client's own staff. That one number tells you whether coverage is real or nominal, and most providers have never been asked for it. For a two-shift plant I would also insist on a documented handover at shift change. That is where the failures actually happen, not at 2am.
Why this one is allowed to exist
- The disclosure is in the first line, before any advice.
- The advice works with the firm removed, which is the test.
- There is no link, because a link would add nothing to the person who asked.
- It is specific enough to be wrong, which is what separates expertise from marketing copy.
- It answers the situation described rather than the category.
That comment can be quoted, agreed with, argued with and read for years, and none of those outcomes require anybody to click anything. If a system later assembles an answer about after-hours coverage for small plants, a passage like that is the kind of material it has to work with.
How it actually works
The mechanism, for anyone who wants it. Open a card to read the detail.
Why a thread is unusually quotable
Look at what a good recommendation thread contains. One person states a situation with real constraints. Several unrelated people answer from direct experience, disagree with each other, and get voted on by a crowd with no commercial interest. The result is a single page carrying multiple independent opinions about the same question, with a rough consensus visible.
Read the detail
That structure is close to ideal for a system that has to name vendors and stand behind it. Your own site carries one opinion held by one interested party. A thread carries several opinions held by people with nothing to gain, which is the difference between a claim and evidence.
It also explains why a promotional comment is worthless even when it survives. The value of the page comes from its independence, so a contribution that reads as marketing does not add to the evidence. It subtracts from the page it sits on.
Which engine actually reads it
Treat Reddit as a Google play before a ChatGPT one, because the published measurement does not point the same way for both. Dan Petrovic's citation mining of OpenAI's grounding metadata, which uniquely exposes the candidates a model rejected as well as the ones it used, found Reddit supplied as a candidate source 491,024 times and cited 3,012 times. That is a 0.61 percent selection rate at a 76 percent presence rate: retrieved constantly, chosen almost never.
Read the detail
The same study puts Reddit at about 2 percent of Google's cited sources, second only to YouTube, and finds it zero times across 139,601 Anthropic grounding sources. So the channel is strong for Google, far weaker on ChatGPT than the figure this category keeps repeating, and close to irrelevant for Claude.
None of that makes the work pointless, and it does decide where the effort goes. If your buyers ask Google, a thread that keeps ranking is one of the few assets you cannot buy. If they ask Claude, nothing you post here will reach them, and the same hours belong on your own pages and the directories your category is genuinely evaluated on.
The rules, stated plainly
Disclose. Say who you are and what you sell in the same comment where you answer. A disclosed expert is welcome almost everywhere; an undisclosed one is a rule violation on most of the internet and a credibility problem on all of it.
Read the detail
Answer before you mention. If the comment is useful with your firm's name removed, the name is allowed to stay in. If removing the name makes the comment pointless, it was an advertisement wearing a costume and it will be treated as one.
Respect the local rule set, which varies more than people expect. Some communities ban vendor participation outright, and those are often the ones worth being in, because the play there is answering with expertise and no link at all. Standing built that way makes a rare, on-topic mention land as a recommendation instead of a pitch.
Keep the volume low. Twenty thin comments do nothing and look like what they are. One useful answer in a thread people keep finding can be quoted for years, which is the whole economics of this channel.
What makes Reddit durable
Threads persist. They keep ranking, keep getting read, and keep feeding the material future systems train on. Effort spent here is one of the few kinds of marketing work that is still visibly paying two years later, which is also why starting before your competitors matters more here than anywhere else on this list.
Read the detail
The corollary is that this channel punishes impatience. There is no version of it that produces a result this month. If you need movement in thirty days, the on-site work in the fix list is where to start, and Reddit is the compounding investment you run alongside it.
What it costs
Prices and monthly volumes below read from the live plan configuration, so this page cannot drift from what your account gets.
| Plan | Price | Questions | Scans |
|---|---|---|---|
| Track | Free | 5 | 1/mo |
| Fix | $99/mo | 10 | 4/mo |
| Dominate | $499/mo | 25 | 4/mo |
Rule is portfolio level and sales-assisted, and it is the safest way to run this across brands that share communities.
See where you stand first
Run a free scan and find out which of these gaps you actually have.
Get your free auditFrequently asked questions
Why does Reddit matter for AI answers?
Because a recommendation thread carries several independent first-hand opinions on one page, which is closer to evidence than any vendor site can be. How much it matters depends entirely on the engine: Reddit is about 2% of Google's cited sources, second only to YouTube, and does not appear once across 139,601 Anthropic grounding sources. Treat it as a Google play, not a ChatGPT one.
Is marketing on Reddit against the rules?
Undisclosed promotion is, and it gets removed. Disclosed expertise that answers the question is welcome in most communities and expected in the rest. Our drafts disclose in the first line and are written to be useful with the firm's name removed.
Will this get my account banned?
Not if the volume stays low and the disclosure stays honest. Bans follow undisclosed self-promotion and posting quotas, the opposite of the method here.
Do you post on my behalf?
No. We draft, you post, from a real account tied to a real person. An account with no history is the fastest way to get a good contribution removed, and authenticity is the entire value of the channel.
My industry community bans promotion entirely. What then?
That rule is why the channel works. Answer with expertise and no link, build a recognisable account, and let the standing do the work. A rare on-topic mention from a known contributor lands as a recommendation rather than an advert.
How long before it does anything?
Longer than the on-site work, and it lasts longer too. Threads persist, keep being read and keep feeding the systems that answer buyers. Run it alongside the fix list rather than instead of it.
Sources and further reading
- Dan Petrovic, citation mining of OpenAI grounding metadata: OpenAI supplied Reddit as a candidate source 491,024 times and cited it 3,012 times, a 0.61% selection rate at a 76% presence rate. Reddit is about 2% of Google's cited sources and zero across 139,601 Anthropic grounding sources.
- G2 2026 AI Search Insight Report: 51% of B2B software buyers begin research on an AI chatbot more often than Google; 69% chose a different vendor than planned based on AI guidance.
- Lewis et al. 2020, Retrieval-Augmented Generation (arXiv:2005.11401): The foundational paper describing how models retrieve from an external, non-parametric memory to generate factual, sourced answers.
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