Most AI citations don't come from your blog — they come from Reddit, G2, listicles, and review sites. Deepage finds the exact threads and pages AI pulls from in your market, checks your buyers are actually there, and writes a ready-to-send draft in your voice. You approve and send — nothing ever auto-posts. Then, when an AI later cites that source and names you, it proves it with the exact answer.
Off-site citations are the mentions of your brand on third-party sites — Reddit, G2, listicles, review platforms — that AI engines read and repeat when they answer your buyers' questions. When someone asks ChatGPT or Perplexity for “the best tool for X,” the answer is built mostly from what other sites say, not from your own blog. Getting named in those places is the highest-leverage, least-automated part of getting cited by AI — and it's the part Deepage does that no other tool does.
This is the flip side of on-site content. Your blog matters, but AI leans hardest on the sources it already trusts — and those are almost never you. Off-site citations are how you show up in the answer anyway.
AI engines don't just read the top-ranked page. They favor the third-party sources they trust: community threads, review sites, and “best-of” lists. Research consistently finds community platforms make up a large share of AI citations — Reddit is among the most-cited sources anywhere.
That breaks the old playbook in a specific way. The answer is built from where AI already looks — and if that's a thread and a review category your competitors own, your best article never enters the picture.
Spray-and-pray Reddit posts get you banned, not cited. Getting off-site right means the right threads, a genuinely useful answer, honest disclosure, and fair mentions of alternatives. That's the work Deepage does properly.
The answer is quoting other sites. To be in it, you have to be present where AI already looks.
Five steps. Deepage does the thinking and the writing; you stay in control of what actually gets posted.
It finds the exact placements.
Deepage looks at where AI already pulls answers from in your market and surfaces the specific opportunities — down to the individual Reddit thread, G2 category, or listicle, not just “post on Reddit.” For each one it shows how many times it was cited, which engines cited it, and which of your competitors are already named there. So it's not “go be active on Reddit” — it's answer this thread, it's been cited 8× by Perplexity and Google's AI, and your competitor is already in it.
It checks your buyers are actually there.
Before it writes anything, Deepage runs a fit check: are this brand's real buyers plausibly on this platform? If you sell to enterprises, it won't send you to answer student questions. Wrong-market opportunities get filtered out before a draft is ever written — so it never wastes your time.
It writes the draft — the right kind for the platform.
Deepage writes a genuine, ready-to-send draft in your brand's voice and language, and it picks the right format for where it's going: a community answer with honest disclosure and fair mentions of alternatives; a listicle pitch to the editor of a “best tools” post; a review profile for G2, Capterra or Trustpilot; or, on feed-based platforms where you can't post an answer, an engagement play — a ready comment or a native post idea instead.
You approve and send. Nothing auto-posts.
Every draft waits in a queue. You review it, edit it if you want, then copy it and post it yourself — or dismiss it. Deepage never posts anything on your behalf. Your accounts, your reputation, and every platform's rules stay in your hands. That's deliberate: it's the only safe way to do off-site at all.
It proves it worked — with the receipt.
After you send, Deepage keeps watching. When a later AI answer cites that source and names your brand, the task automatically flips to a Verified win — with the exact AI answer stored as proof. Named mentions only: if the AI cites the page but never says your name, it doesn't count.
The proof dashboard →Most tools tell you to “build off-site presence” and leave you guessing whether it did anything. Deepage closes the loop.
Off-site isn't a one-time blast. Deepage re-scans on its weekly cycle, as fresh measurements come in, and learns from what you do.
Tell it “wrong market” once and it's gone. You never re-review the same bad fit.
It doesn't nag you about something that already worked — a Verified win stays won.
It learns which platforms and topics actually earn your brand citations, and tilts the next scan that way.
It also surfaces original-data study ideas designed to earn citations.Original research is the single most-cited kind of content — the thing other sites, threads, and listicles link back to on their own. Deepage points you at the studies worth running for your market.
Off-site works in your language, on your market's platforms. For Arabic-market brands that means the real Arabic community and reference platforms — not a US-only view — with drafts written natively in Arabic and platform etiquette applied in that language.
MENA is a market almost no citation tool serves. Deepage treats it as first-class.
Trackers measure the gap. Off-site closes it.
Trackers show you a number and stop. On-site content tools only touch your own blog — the place AI trusts least. Off-site is the hard, high-leverage middle that neither one does: finding the exact third-party placements, writing what to say, and proving it when it lands. It's the reason AI starts naming you — and it's structurally hard for an on-site-only tool to copy. That's the moat.
Start your $1 trial Part of Deepage — $99/month.They're mentions of your brand on third-party sites — Reddit, G2, listicles, review platforms — that AI engines read and repeat when they answer your buyers' questions. Because AI leans on trusted third-party sources far more than on any single blog, off-site citations are often the difference between showing up in the AI answer and being invisible.
AI engines favor sources they already trust — community threads, review sites, and “best-of” lists — over marketing pages. Research consistently finds community platforms are a large share of AI citations, with Reddit among the most-cited sources anywhere. So the answer often quotes a Reddit thread or a G2 category, not your blog.
No. Deepage finds the opportunity and writes the draft, but nothing is ever auto-posted. You review it, copy it, post it from your own account, and mark it sent. That keeps you inside every platform's rules and keeps your brand and accounts in your control.
It is if you do it wrong — and that's exactly what Deepage avoids. It only surfaces threads where your buyers actually are, writes a genuinely useful answer with an honest disclosure that you work on the brand, and mentions alternatives fairly. You approve every word. Done this way, it's a real contribution that happens to name you — which is what AI rewards.
When a later AI answer cites that source and names your brand, Deepage detects it automatically and flips the task to a Verified win — with the exact AI answer stored as proof, your name highlighted. Named mentions only: a citation that never says your name doesn't count.
The ones AI actually pulls from in your market — commonly Reddit, G2, Capterra, Trustpilot, Product Hunt, Quora, and listicles, plus Arabic community and reference platforms for MENA brands. Deepage discovers targets from real citation data, so the list reflects where your buyers' answers actually come from, not a fixed menu.
Little. Deepage caps how many opportunities it surfaces each week and puts the strongest ones first, so the job stays inside a few minutes — you're approving and sending, not researching and writing.
Yes. Drafts are written in your brand's language with platform etiquette in that language, and for Arabic markets it targets real Arabic community and reference platforms — first-class, not an afterthought.
Paste your URL. Deepage maps where AI looks in your market, finds the exact threads and pages, and drafts what to say — in a few minutes. $1 for 3 days, cancel anytime.
$1 for 3 days. Cancel anytime.
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