Short answer: Most of what AI answers cite is third-party: review sites, media, forum threads and videos. A brand's own site is a small slice. So it pays to be present where buyers discuss your category, on a few conditions: use your real identity, answer questions people are already asking, disclose your connection to the brand (employment, payment, free product), and follow each community's own rules. No sock puppets, and no pushing the same claim through several accounts.

Why AI answers keep citing Reddit, YouTube and review sites

Example: in July 2026 a supplement brand owner asked in the Shopify Community: "Is it possible that AI models are prioritizing third-party reviews and medical journals over direct merchant sites? How can I improve my 'off-page' AI presence?" The store had solid on-page SEO and still never appeared in Google's AI Overviews.

The hunch was right. Published research points the same way: the sources AI answers cite are mostly third-party pages, and a brand's own website is a small share. Among sources that aren't company websites, YouTube videos, media articles and forum threads such as Reddit rank near the top. Some research also finds that in certain categories AI leans on reviews and media and barely cites social posts at all. So Reddit is not a magic channel. First find out who the assistants cite in your category.

Google says as much in its own guide: its generative AI features can show what is being said about products and services across the web, including in blogs, videos and forum discussions.

First, find out where AI looks in your category

Don't sign up for ten platforms. Ask a fixed set of real buyer questions every week and log which third-party sites the answers cite, as described in our weekly check guide. If you run geo-score's watch, its report also lists the third-party domains cited most often for your questions.

After a few weeks, the places that keep showing up are where you should be. If you sell portable power stations and the answers keep citing one van-life subreddit and two or three review channels (illustrative), work on those one or two platforms and leave the rest.

On Reddit: be who you are and answer real questions

Two of Reddit's sitewide rules cover this directly:

  • Rule 2: abide by community rules, participate authentically in communities where you have a personal interest, and don't spam or manipulate content.
  • Rule 5: be authentic. You don't have to use your real name, but don't intentionally mislead others or impersonate an individual or entity in a deceptive manner.

Reddit's own guide for businesses is blunter. Read the subreddit's sidebar rules and check that businesses may post at all. Identify yourself as a brand, or someone representing one, in your profile and in the conversation. Don't self-promote: your posts may be flagged as spam or you may be banned from the subreddit. Join existing conversations before starting your own.

In practice:

  1. Staff post from their own accounts, with the employer named in the profile, and say so in the first line whenever they mention your product.
  2. Answer threads where buyers are already asking. Bring facts, specs and sources, and say plainly who your product is not for.
  3. Don't start threads to push product, and don't drop links into other people's threads.
  4. Rules differ by subreddit, and some ban businesses outright. Reread the rules every time you enter a new one.

A reply might open like this (illustrative): "Disclosure: I work for [brand], and we make one of the units you're comparing. For a 12V fridge in a van, the number that matters is…"

On YouTube: if money or product changed hands, turn on the label

Videos on your own channel that show how the product works, who it suits and who it doesn't are content AI can cite. Working with creators is fine too, with ground rules set up front:

  • Disclose the deal. YouTube requires creators to tell it about branded content, sponsorships, endorsements or other commercial relationships, which adds a disclosure label at the start of the video. In YouTube Studio, under "Paid promotion", select "Yes, my video includes branded content".
  • The FTC says the same. Its own example is a YouTube review: if a resort paid the reviewer, or the reviewer stayed for free, viewers should be told.
  • Don't buy views, likes or subscribers. YouTube's fake engagement policy bans artificially inflating views, likes, comments and other metrics, and the FTC's 2024 rule bans knowingly buying or selling fake indicators of social media influence, such as bot followers or views.

Review sites and customer reviews: ask everyone, keep the bad ones

The FTC rule on consumer reviews, announced in August 2024, has a few lines every store owner should know:

  • No fake reviews, written or bought, including AI-generated ones.
  • No payment or other incentive conditioned on a review saying something positive or negative, whether the condition is stated or implied.
  • Reviews by employees, officers or managers must clearly disclose the connection.
  • A site you control can't pose as an independent reviewer of your category.
  • No threats or intimidation to keep negative reviews down.

The workable version is simple: invite every customer to review after delivery, not just the happy ones, and ask anyone who received a free sample or discount to say so in the review.

What looks fast and what we won't do

  • Sock puppets: staff posting as "just a customer", or accounts asking and answering their own questions.
  • The same claim through many accounts: a team takes one talking-points sheet and posts the same line across accounts and platforms so the AI thinks many people are saying it. The volume goes up; the number of real people talking stays the same.
  • Undisclosed paid posts: money, product or any perk, with no mention of it.
  • Aged accounts, bought accounts, bought upvotes.

Platform rules are not the only reason. Google's spam policies define spam to include attempts to manipulate generative AI responses in Google Search, and its AI guide says that seeking inauthentic mentions across the web isn't as helpful as it might seem, because its AI features rely on both its quality systems and its spam systems. If it's judged manipulation, your brand and your domain carry the cost.

Rules change. This is our reading of public rules, not legal advice. If you're unsure, ask your own lawyer.

Where we can help

Community work is an add-on, and not every store needs it. We start with a rules map: the few communities where your buyers talk, and what each one allows. Then each week we pick threads worth answering and draft replies, which your own staff check and post from their own accounts. We commit to delivering those steps on time. We don't promise post counts, upvotes or AI citations. Scope and prices are on the pricing page.

Common questions

Can we post from the official brand account?

Yes. Reddit's business guide asks you to identify as a brand. What you avoid is posing as an ordinary shopper, not speaking as the company.

My profile already names my employer. Do I still need to disclose in the post?

If you sell to US shoppers, yes. The FTC's Q&A notes that readers may not know where you work or what your employer sells, and that a tag like "#employee" probably won't be understood. "I work for [brand]" in the text is clearer.

Can an agency post for us?

Its staff have to disclose too. The FTC says ad agency and PR employees have a connection to the advertiser that belongs in every post, for example "My employer is paid to promote [product]". Handing a group of people the same script to post is the many-accounts pattern above, whoever does the posting.

How long until AI cites a thread we joined?

Nobody can say, and we don't promise it. When an assistant finds a thread, and whether it uses it, is up to the assistant. What you can watch is the "who else is cited" column in your weekly log.

Want to know where your store gets stuck? Test it yourself with geo-score, or send us your store's URL and get a free quick review within 48 hours.

Sources

  1. Invisible in AI Overviews (Shopify Community, posted 2026-07-14), checked 2026-10-08
  2. Google's Guide to Optimizing for Generative AI Features on Google Search (Google Search Central, last updated 2026-07-10), checked 2026-10-08
  3. Spam policies for Google web search (Google Search Central, last updated 2026-08-28), checked 2026-10-08
  4. Reddit Rules (Rule 2 and Rule 5), checked 2026-10-08
  5. What is a Subreddit (Reddit for Business, "Key principles of business Reddiquette"), checked 2026-10-08
  6. FTC's Endorsement Guides: What People Are Asking (Federal Trade Commission), checked 2026-10-08
  7. Federal Trade Commission Announces Final Rule Banning Fake Reviews and Testimonials (August 14, 2024), checked 2026-10-08
  8. Add branded content restrictions & disclosure labels (YouTube Help), checked 2026-10-08
  9. Fake engagement policy (YouTube Help), checked 2026-10-08
  10. geo-score README: Levels 2 and 3 (sources in the watch report), checked 2026-10-08