Ask an assistant to recommend a tool in almost any category and watch where the answer comes from. A vendor page or two, then a Reddit thread, a comparison article somebody else wrote, a review site, sometimes a Wikipedia entry for the category itself.
That distribution is the single most under-appreciated fact in GEO. A large share of what an engine says about you is assembled from sources you do not own and cannot edit.
Why engines lean on these sources
Three reasons, and they are all rational:
- Corroboration. A vendor describing itself is an interested party. Several unaffiliated people describing it the same way is evidence.
- Recency and specificity. Forum threads contain the qualified detail marketing pages omit: what broke, what the migration took, what it costs at scale.
- Availability. Some of these corpora are licensed and structurally easy to retrieve. Reddit's data licensing arrangements with major AI companies since 2024 are the clearest example.
The uncomfortable implication
You can write a flawless product page and still have the engines tell people your onboarding is painful, because in 2023 four users said so in a thread that now outranks your own documentation as a retrieval target.
The instinct at this point is to go and manufacture better threads. Do not. Detection aside, it does not work: astroturfed accounts produce content that reads like marketing copy, gets downvoted or removed, and leaves the original complaint as the top result with a defensive reply underneath it. You have made the thread longer and more negative.
What actually works
Answer the question you are already in
Find the live threads where your category is being discussed and your product is a legitimate answer. Reply from an identified company account, disclose who you are, answer the specific question asked, and include the limitation. A reply that says "yes, and here is where it will not suit you" is the one that gets upvoted and, later, quoted.
Fix the thing the thread complains about, then say so
The highest-leverage off-site move is unglamorous: resolve the issue, then reply to the old thread with what changed and when. This works because it updates the corpus. The complaint is still there, but the last word is a dated correction, and retrieval favours recency when statements conflict.
Earn reference-grade coverage
Wikipedia deserves a specific warning. Do not create an article about your own company. Notability requirements are real, conflict-of-interest editing is policed, and a deleted article is worse than no article. What is legitimate: making sure the category and concept pages your field depends on are accurate and well sourced, and, if you have genuinely independent coverage, letting an uninvolved editor make the case.
Publish the data nobody else has
Original research is the most reliable way to be cited by sources you do not control. Benchmarks, surveys, aggregate anonymised statistics from your own product. A number that exists in exactly one place gets attributed to that place every time it is used, and it earns the second-hand mentions that corroboration depends on.
Video and structured reference material
YouTube transcripts are indexed and quoted. A clear ten-minute walkthrough that answers a common question is a retrievable asset, not just a marketing artefact.
How to measure it
Off-site GEO is measurable, which is what separates it from general brand-building. Track the sources cited in the answers you are graded on, not only whether you were named. Two questions matter:
- Which third-party URLs do the engines actually use when answering questions in your category?
- On the answers where a competitor is named and you are not, what source did that come from?
The second question routinely produces the highest-value work in a GEO programme, and it is invisible if you only count your own mentions. The measurement approach is in How to Measure AI Search Visibility.
The summary
You own your pages. You do not own your reputation, and generative engines read both. The work is slower than publishing a landing page and it compounds in a way that landing pages do not: participate honestly where your category is discussed, fix what people complain about, publish facts only you have, and measure which sources the machines are actually reading.
