Sit in on almost any SEO budget meeting this year and you'll hear the same quiet argument: does the money go to the link building line item or to digital PR? For twenty years that had a settled answer. Backlinks were the currency Google counted, and mentions were their unpaid cousin. Then answer engines started putting together your buyers' shortlists, and the accounting flipped in a way you can now measure.
So think of this post as an explainer for that meeting. We'll go through what the data actually shows and why both signals still matter, just at different stages, and then how to rebalance without torching the part of link building that still works.
Why links ruled in the first place
Go back to what a backlink was for. Google needed a reputation signal that was expensive to fake at scale, and in 1998 a hyperlink fit that perfectly, since it meant another site spending its own credibility to point at you. The link itself was never the point. It was a measurable proxy for reputation, picked because measuring it was cheap and forging it was costly.
Language models changed the economics of that measurement, and the proxy lost its monopoly as a result. A model trained on a huge slice of the web can read the conversation itself, so it sees reputation directly: which brands people name when they discuss a category, how consistently those brands get described, and what gets recommended in threads, reviews and comparison posts.
What the numbers say now
The study everyone cites is Ahrefs' look at 75,000 brands, which measured how strongly different signals correlated with brand visibility in Google's AI Overviews. Branded web mentions came out on top at 0.664, about three times the 0.218 that backlinks managed, and branded search volume landed between them at 0.392. That's a big gap for a signal the industry treated as the unpaid cousin for two decades.
Neil Patel's team ran their own numbers and got to the same blunt conclusion: after twenty years of link building, backlinks barely register with ChatGPT, while how often the internet talks about you moves the needle.
Before anyone moves budget on the strength of that, weigh the caveats. Correlation is doing the heavy lifting here. Brands with lots of mentions also tend to have products people like, press teams and search demand, and nobody has cleanly isolated the mention itself.
Most of the data also leans on Google's AI Overviews, which is one engine among several, and our breakdown of what each AI engine trusts shows how differently ChatGPT and Claude weigh the same sources. A mention correlating with visibility tells you nothing about whether your page gets cited for a specific buying query, either. That's a different, page-level game.
Even so, we wouldn't write off a three-to-one gap as noise, because a gap that size points to something structural changing in what the machines reward.
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The two-stage pipeline, where each signal lives
The versus framing mostly falls apart once you see that an AI answer gets assembled in two stages, and each signal works in a different one.
Retrieval comes first. The engine fans your buyer's question out into searches and pulls candidate pages from an index, which means Bing for ChatGPT and Copilot, Brave for Claude, and Google's own stack for AI Mode and Gemini.
Backlinks do their work here, since they still move the rankings that decide whether you're in the pool at all, and that's why the correct amount of link building is still above zero. The pool is brutally rank-ordered, too: one measurement found about 79 percent of Claude's citations sitting in Brave's top 10 results, and academic work on content optimization keeps finding that retrieval rank dominates everything downstream.
Once the engine has its candidates, the model decides whom to trust and cite, and entity-level signals take over. It weighs how often the brand appears across independent sources, whether those descriptions corroborate each other, and whether it recognizes you as the official source for your own product.
Mentions live in this stage, and a brand the model has read about a thousand times, in a thousand places, will win it against a stranger with better anchor text. Stage two became visible in the data with August's GPT-5.6 update, which swung citations toward vendor documentation and licensed publishers while community sources fell hard.
One thing that tidy picture leaves out, and most explainers miss it: mentions feed back into stage one as well. Branded search volume correlates with AI visibility partly because people who've heard of you go and search for you, and engines notice demand. So the two stages leak into each other, which is exactly why brands that only optimized pages, or only built links, keep getting outcited by brands that are simply talked about more.
The unlinked mention, rehabilitated
Classic SEO had a routine for an unlinked mention. You found it, emailed the author and asked for the link, because the mention was just an unfinished backlink. The AI era flips that hierarchy, and as Lily Ray put it, unlinked mentions are the new linked mentions. A model reads text, and a link attribute is invisible to a training corpus in a way the sentence around it never is, so the mention did its most valuable work the moment it was published.
Link reclamation is still worth your time, since turning a mention into a link adds the stage-one benefit on top of the stage-two benefit you've already banked. What's obsolete is the panic when an author declines to add the link, because you already have the asset and the link was only ever the bonus.
If you want to measure the mention and the citation as separate outcomes, our guide to how rankings, citations and brand mentions work together walks through it.
Practitioners are still arguing about all this. A recent r/seogrowth thread asked whether mentions without backlinks actually build authority or whether the whole idea is overhyped, and the replies split along exactly the line this post draws, with skeptics measuring by Google rankings alone and converts measuring by where AI answers pull their recommendations from.
Do brand mentions without backlinks actually help build authority, or is it overhyped?
I’m seeing a lot of people say that brand mentions (no links) help build authority and improve SEO, even without backlinks. Some claim Google treats unlinked brand mentions like a “soft signal” for trust and authority. Curious to hear opini...
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What a mentions program actually looks like
If mentions are what you're after, the real question is how to earn them at a rate that shows up in the data. The sources that last are all editorial, which just means someone else chose to write about you.
Original data is where we'd start, because it beats opinion. Publish research, a benchmark or a teardown from your own vantage point and you become the citation instead of chasing one, and a single quotable number can keep generating mentions for years.
Your buyers already check certain review sites and directories, and those pages get retrieved constantly for buying queries, so a presence there is a mention the model sees every time it answers your category. Comparison articles and listicles are worth pitching as well, on merit. Being one of eight tools in someone's honest roundup teaches the model your category membership better than your own homepage does.
With communities, the job is answering threads where your product really fits the question, as a human who says so. That corroboration compounds, and it survives every enforcement wave because there's nothing to enforce against, a distinction that matters more after this year's crackdowns. Podcasts and newsletters help for a simpler reason: transcripts get indexed and crawled, and when a host introduces you, they use exactly the kind of entity-defining sentence models learn from.
All five get stronger with one quiet discipline, which is describing yourself the same way everywhere. Models reconcile entities across sources, and a brand described six different ways corroborates nothing. Pick the one-sentence version of what you are and have every bio, directory profile and guest appearance carry it.
How fast do mentions start working?
Most of the disappointment in this field comes from confusing two clocks that run at the same time.
The retrieval clock is fast. Engines pull live candidates at answer time, so a mention on any page that search indexes can see (a review, a listicle, a forum answer) becomes available to them as soon as that page is indexed. If a well-ranked comparison article adds you on Tuesday, an engine could be reading that page inside your buyer's question by the weekend. That's why review-site presence and community answers show up in citation data within weeks rather than quarters.
The weights clock is slow. What a model knows about you without searching, the parametric memory that makes it volunteer your name unprompted, only updates when a new model ships. Mentions you earn this quarter are a deposit against the next training snapshot, and the one after that. You can't rush this clock, but you can get on it early, and that's the whole argument for starting before your category's answers harden.
The full timeline breakdown got its own post. Compressed, the retrieval clock pays this month and the weights clock pays next year, and a mentions program is the only investment that feeds both.
Rebalancing without torching link building
For a B2B team reading the same data as everyone else, the practical allocation starts with keeping the link work that moves rankings on your money pages, since stage one is still rank-gated and Google still sends the traffic. Check that those pages actually rank somewhere in Bing and Brave, because those indexes feed retrieval for ChatGPT and Claude.
Then push the marginal dollar toward mentions: the PR pitch, the data study, the review push, the community presence. For most teams that's a move from roughly all-links to something closer to half-and-half, phased over a quarter rather than announced in one dramatic memo.
If you want the quarter sketched out, spend month one on the entity basics, meaning one canonical self-description everywhere, review profiles claimed and filled in, and Bing and Brave rankings verified for your money pages. In month two, ship one quotable asset (a benchmark, a dataset or an original teardown) and pitch it to the eight publications and newsletters your buyers read.
Month three is for community presence at a rhythm you can keep up, a few actually helpful thread answers a week, plus the podcast pitches that turn into transcribed, indexable conversations. None of it is exotic. The discipline is doing it in that order, because the corroboration layer multiplies whatever the PR layer earns.
Then measure the thing you're actually buying. Mentions are an input, and the output is whether engines cite and recommend you for the queries that come before your deals, which is trackable per engine, per week. Put dates on your mention-earning work and watch the citation trend against it. Within a quarter you'll have the only version of the mentions-versus-links argument that matters, built from your own data on your own market instead of a correlation study about everyone else's.
Know exactly what AI says about your competitors.
RankControl's Recon Agent monitors competitor citations across ChatGPT, Perplexity, Claude, Gemini, Grok, Google AI Mode, and Google AI Overviews. See where they show up and you don't.
