Your domain isn’t in the citation set.
Even a perfect page can’t be cited if AI never retrieves it. Most categories have a small set of trusted third-party sources AI pulls from — and your domain often isn’t one of them.
AI cites Reddit threads, community posts, third-party listicles, and editorial coverage more often than your own domain. We earn placements in all four — Reddit, Facebook groups, earned media, paid editorials — so your brand lands where AI is already retrieving.
On-site work makes you discoverable. Off-site work is what makes you the answer. Most categories require both — and most programs only do one.
Even a perfect page can’t be cited if AI never retrieves it. Most categories have a small set of trusted third-party sources AI pulls from — and your domain often isn’t one of them.
Their listicle ranks for the comparison query. Their Reddit thread answers the buyer’s real question. Their op-ed is the authority piece AI cites. You’re not in any of those.
Earned media, community discussion, and editorial coverage carry more weight than your own marketing copy. About 89% of LLM-cited links come from earned sources, not brand-owned domains.
Each channel is run differently. The bar is the same: only placements that are useful to the people reading them get cited by AI.
We identify the threads AI is already pulling from for your buyer prompts, then post helpful answers — anchored by content we write to address the question in depth. Real expert participation, not link drops. Subreddit list, mod-rule strategy, and a per-thread playbook built per client.
Niche communities AI cites for product recommendations and category discussions — gifting, parenting, hobby groups, local services. Membership and fit constraints are real, so we treat each group like a long-term placement, not a campaign drop.
We build linkable assets — data studies, calculators, comparison frameworks — useful enough that other companies cite them in their own listicles, op-eds, and category guides. The goal: be the URL that gets named when someone else writes the round-up.
In authority publications your category respects. We draft the piece, the publication runs it, the buyer gets a useful read, AI gets a high-trust citation. Done right, this lands placements that compound — done wrong, it’s a banner ad with extra steps.
Each step ships a deliverable. No quarterly “authority audit” or vague brand-building phase. Just the citation gap, the move that closes it, and the week-over-week proof.
For every buyer prompt, we pull the threads, listicles, communities, and editorial pieces AI is currently citing. That’s the existing answer set.
Where competitors win the citation slot, where the slot is empty, where a single placement could displace several smaller ones. We rank gaps by traffic-shift potential, not vanity DA.
Reddit when the gap is a buyer asking a specific comparison question. Editorial when the gap is a category-defining piece. FB group when the buyer hangs out there and nowhere else.
Post, draft, place — the actual work. Helpful answers backed by content we ship, original posts that earn community engagement, editorial pieces that land in real publications.
Which placements got cited, by which platforms, on which prompts. The off-site dashboard sits next to the on-site one — same prompts, different sources.
A cause-driven e-commerce brand sells gifts that route a portion of revenue to a cause the buyer picks. The category — cause- driven gifting — had almost no third-party shelf. No listicles. No authoritative editorials. The Reddit threads buyers asked in were dominated by a handful of bigger-but-generic gift sites.
We worked all four channels. Reddit answers in r/giftideas and r/ethicalfashion, anchored by guides we shipped on charity-routed gifting. Earned-media placements in sustainability publications via primary-research data we compiled. A paid editorial in a category-adjacent gift-industry outlet. By month three: 35 backlinks, 100+ page-1 keywords, and ChatGPT recommending the brand for “meaningful gifts” queries. Revenue +50% in the same window.
Read the full case study →Old link-building optimizes for backlink counts. Off-site GEO optimizes for citation count in the AI answer. The placements differ. The reporting differs. The Reddit thread that earns nothing for traditional SEO is often the top citation in ChatGPT.
Pulled from the questions that actually come up in our intro calls.
Run a Live Audit. We pull the threads, listicles, and editorial pieces AI is currently citing for your buyer prompts — then send the gap report to your inbox.