Co-citations and unlinked mentions: the new links?
Key takeaways
Short answer: Yes and no. Co-citations and unlinked mentions are not technically links, but they now do much of the work links used to do. In AI search they may matter more than backlinks: branded web mentions correlate with AI Overview visibility at 0.664 against 0.218 for backlinks in Ahrefs' data, and a Google patent granted in 2014 already described mentions as "implied links".
For two decades, the link was the atomic unit of off-page SEO. You earned a hyperlink, PageRank flowed, rankings moved. That model is fracturing. Large language models like ChatGPT, Gemini and Perplexity do not crawl a link graph the way Googlebot does; they reason over text, and in that text a brand name sitting next to a topic carries weight whether or not it is wrapped in an tag. Meanwhile Google has spent a decade quietly building machinery to read mentions, not just links. This article explains what co-citations and unlinked mentions actually are, what the 2025-2026 data says about their impact, and how to earn them on purpose.
Co-citations vs unlinked mentions: not the same thing
These two terms get blurred together constantly, so let's separate them cleanly before we go further. They describe different signals, and the strategies to earn them differ too.
A co-citation happens when two pages or brands are referenced together by a third source. As Link-Assistant's SEO wiki defines it, a co-citation occurs every time two publications are cited together by any other document. If a roundup of "best link building tools" mentions both Ahrefs and your tool in the same paragraph, you have been co-cited with Ahrefs. Search engines read that proximity as semantic relatedness: you belong in the same neighborhood. Crucially, Vazoola notes co-citation does not require a hyperlink at all; it works through textual mentions, names and phrases that appear in similar contexts across the web.
An unlinked mention (sometimes called co-occurrence) is simpler: your brand name appears in content with no clickable link back to your site. "We switched to Notion last year" is an unlinked mention. No PageRank flows, but the entity association is created. As Ann Smarty puts it, because LLMs do not rely on links the way classic search does, co-occurrence (unlinked mentions) is as important as co-citation (link neighborhood) for AI visibility.
| Signal | What it is | Carries PageRank? | Primary value |
|---|---|---|---|
| Backlink (express link) | A clickable hyperlink to your page | Yes | Authority + referral + entity |
| Co-citation | Two brands referenced together by a third source | No (often) | Semantic association, topical neighborhood |
| Unlinked mention / co-occurrence | Your brand named with no link | No | Entity recognition, brand salience |
| Implied link | Google's term for a mention treated as a citation | Acts like one | Ranking signal via mentions |
Note
Google patented a way to count mentions in 2014 (the implied links patent)
This is not a 2026 invention. The foundation was laid in US Patent 8,682,892, "Ranking search results," granted to Google on 25 March 2014, with Navneet Panda and Vladimir Ofitserov as inventors. The patent explicitly distinguishes two link types. An express link is a hyperlink a user can follow. An implied link is "a reference to a target resource, e.g., a citation to the target resource, which is included in a source resource but is not an express link." The patent states that links for a group "can include express links, implied links, or both."
In plain English, as DPOM summarized when the patent surfaced, Google's system can count mentions and citations of a brand, alongside regular links, when ranking a site. Bill Slawski's SEO by the Sea tempered the hype at the time, arguing entity mentions are good but are not a one-for-one replacement for links. Both things are true: a patent is not confirmation of live ranking use, but the conceptual machinery to read mentions has existed inside Google for over a decade.
Watch out
What 2025-2026 data actually shows for AI search
Here is where mentions stop being theory. Multiple large studies in 2025 found that brand mentions and brand demand predict AI citations far better than backlinks do.
Ahrefs' study of 75,000 brands (May 2025) found that the three factors most closely tied to brand visibility in AI Overviews were all off-site brand signals: branded web mentions (0.664), branded anchors (0.527) and branded search volume (0.392), well ahead of the number of backlinks (0.218). Its December 2025 follow-up across ChatGPT, AI Mode and AI Overviews put YouTube mentions first, at about 0.737, with branded web mentions still between 0.66 and 0.71. The brand is being recognized as an entity whether or not anyone links to it.
Ahrefs is careful to call these correlations, not causes: big, well-known brands score high on every brand signal at once. Read them as a sign that the classic link count is a weaker predictor of AI citation than brand-entity authority, not as proof that mentions alone get you cited.
The mechanism behind those numbers is community mentions. SE Ranking studied 129,000 unique domains and 216,524 pages across 20 niches, with a dataset of 100,000 prompts (November 2025). Domains with millions of brand mentions on Quora and Reddit had roughly 4x higher chances of being cited by ChatGPT than those with minimal activity. Most of those mentions carry no link at all.
| Signal | Correlation / effect | Source |
|---|---|---|
| Branded web mentions to AI Overview visibility | 0.664 | Ahrefs, 75,000 brands (May 2025) |
| Branded search volume to AI Overview visibility | 0.392 | Ahrefs, 75,000 brands (May 2025) |
| Number of backlinks to AI Overview visibility | 0.218 | Ahrefs, 75,000 brands (May 2025) |
| YouTube mentions to AI visibility (ChatGPT, AI Mode, AI Overviews) | about 0.737 | Ahrefs (December 2025) |
| Millions of Quora and Reddit mentions vs minimal activity | about 4x higher chance of a ChatGPT citation | SE Ranking, 129,000 domains (November 2025) |
Why LLMs lean on mentions instead of links
The reason is architectural, not philosophical. A traditional crawler builds a graph of pages connected by hyperlinks and propagates authority across it. An LLM is trained on text and, at answer time, retrieves and reasons over passages. There is no PageRank step. What the model has internalized is co-occurrence statistics: which brands show up next to which topics, problems and competitors, and how often. A brand named in thousands of relevant contexts becomes a high-probability completion when a user asks for a recommendation.
That is why a Reddit thread naming your product with no link can outperform a dofollow backlink from a thin directory in AI search. Google's own systems are converging here too: per entity-SEO coverage, Gemini is trained on the Knowledge Graph, and your brand's representation in that graph, fed by co-occurring mentions, schema and a clear entity home, shapes whether you appear in AI Overviews and AI Mode. We cover the retrieval side in depth in how to get cited by ChatGPT.
Tip
How to earn co-citations and mentions on purpose
You cannot directly request "please mention us without a link." But you can engineer the conditions. The tactics overlap heavily with modern digital PR and entity building.
- Get into the roundups your competitors are in. This is classic co-citation link building: target the "best X tools" and "alternatives to Y" articles where category leaders already appear. Being named in the same list inherits their topical neighborhood. Our digital PR guide walks through the outreach.
- Become a source on Reddit and Quora. The SE Ranking data makes this non-negotiable for AI visibility. Answer real questions in your category, name your product where it genuinely fits, and accept that most mentions will be unlinked. That is the point.
- Publish original data and quotable lines. In the Princeton-led GEO study, adding statistics and quotations from credible sources were among the edits that raised visibility in AI answers the most, by up to 40% (Aggarwal et al., KDD 2024). Data and quotes get re-stated by other writers, which is how unlinked mentions multiply. Our link building statistics hub is built for exactly this kind of citation.
- Nail your entity home. A clear About page, consistent NAP, Wikidata presence and
sameAsschema help Google and Gemini resolve which entity all those mentions point to. Mentions without entity clarity get wasted. - Earn editorial links that double as both link and mention. A contextual link in a relevant publication gives you the express link and the co-citation with whatever else that article discusses. You do not have to choose.
On the internal-strategy side, the same principle applies to your own site: dense, well-structured internal linking reinforces which entities your pages are about, helping AI and search systems map your topical authority.
So do backlinks still matter?
Absolutely. This is an "and," not an "or." Backlinks still drive classic Google rankings, still pass authority, and still bring referral traffic that builds the brand demand that, in turn, feeds AI citations. Wordtracker frames it correctly: co-citation and co-occurrence do not replace link building, they work alongside it to help engines understand context. The smart 2026 posture is to pursue links that also generate mentions and co-citations, and to stop treating an unlinked mention as a failed link-building attempt. It was never a failure; it was a different, increasingly valuable signal.
If you are weighing where to spend, our link pricing index helps benchmark placement costs, and for the editorial side specifically, see white-hat link building for SaaS and how to buy backlinks safely to keep the link half of the equation clean.
The bottom line
Co-citations and unlinked mentions are not literally the new links, but they are absorbing the role links played for AI. In generative search, where there is no PageRank to inherit, a brand named repeatedly in the right contexts is what gets recommended. The 2025-2026 data is consistent across independent studies: brand mentions and demand out-predict backlinks for AI citation by a wide margin. Build for both. Earn the link, but engineer the mention.