Does link building still matter when AI handles the searching? Vladenza looks at why backlinks still carry weight now that chatbots and AI Overviews are part of everyday search.
More people are skipping the search results page altogether. They type a question into ChatGPT or see an AI Overview at the top of Google and never click through to a website. That shift has left a lot of marketers wondering whether link building, one of the oldest tactics in SEO, is still worth the time and money.
According to Vladenza, the answer is still yes, but the reasoning behind it has shifted. Backlinks used to be about one thing: ranking higher in Google. Now they play a role in a second system too, one where AI models decide which sources are trustworthy enough to quote. Understanding how both systems work helps explain why link building hasn’t gone away, even if it looks a little different than it did five years ago.
What Changes When AI Does the Searching
Search engines still crawl the web and rank pages the way they always have. What’s new is that a chunk of queries now get answered by an AI layer before a person ever sees a traditional list of results. Google’s AI Overviews sit above the regular listings. ChatGPT and Perplexity skip the listings entirely and just hand back an answer.
These two systems aren’t the same thing, even though they pull from overlapping sources. One is the classic crawl-index-rank process that SEO has always targeted. The other is a language model reading through training data and, in many cases, live web content to put together a response on the spot. A page can do well in one system and barely register in the other. That gap is exactly why the old link-building playbook needs some adjusting rather than getting thrown out.
Links Were Never Just a Ranking Trick
A backlink has always meant something simple: one site telling its readers that another site is worth checking out. That’s a form of trust, and search engines built their ranking systems around measuring it. Chatbots showing up on the scene didn’t undo that logic.
Google has said for years that links remain part of how it judges which pages deserve attention. Even with AI Overviews summarizing answers now, whatever picks the sources behind those summaries is still leaning on familiar signals: how relevant a page is, how authoritative the site behind it looks, and yes, who’s linking to it.
What’s different is what a link can now lead to. It used to mean a modest bump in rankings and a bit of referral traffic. These days, it can also mean a page gets pulled into an AI-generated answer and named as the source. That’s a new kind of exposure, but it still comes from the same place: other sites vouching for you.
How AI Models Pick What to Trust
Language models don’t have opinions, but they do carry patterns from their training, and many of them now pull in live information through retrieval tools. When something like ChatGPT browses the web to answer a question, it’s still making a call about which pages are worth citing. That call isn’t made at random.
A site that keeps showing up, gets referenced by other credible sources, and has been publishing consistently over time reads as more trustworthy than a page that popped up last week with nothing backing it. That’s link building doing what it has always done, just for a slightly different audience. It’s no longer only about pleasing a crawler. It’s about looking like a source worth quoting to a system trying to summarize the web accurately.
Vladenza tells clients not to drop their backlink work just because AI search tools are now part of the picture. If anything, the standard for what counts as a good link has gone up. Cheap directory listings and irrelevant guest posts were never great to begin with, and they carry even less weight now. What actually helps is getting mentioned by sites that the target audience already reads and trusts.
Ranking Signal Today, Trust Signal Tomorrow
For a long time, link building had one job: push a page higher on the results list. That’s still part of it, but there’s a second job now too, getting cited or referenced somewhere an AI model will pick it up when answering a related question.
Some people call this answer engine optimization. It overlaps with regular SEO but isn’t quite the same thing. A page might rank fine on Google and never show up in an AI summary, or the other way around. What seems to help with both is clear writing, real expertise, and other credible sites pointing back to the content.
This is an area Vladenza has spent time studying directly, helping clients figure out how to get cited by ChatGPT and similar tools when someone in their industry asks a related question. It takes a different approach than plain keyword-focused SEO, but the backbone is still reputation, and reputation is still built through links.
What Link Building Actually Looks Like Now
Businesses don’t need to overhaul their whole approach here. A few shifts in priority go a long way.
Relevance beats quantity. A few links from sites genuinely tied to an industry do more than a hundred links from random, unrelated blogs. AI models, like search engines, seem to pay close attention to how closely related a linking site is to the topic at hand.
Original work stands out. Content built on real research, first-hand experience, or data nobody else has tends to get picked up more, by other sites and by AI tools summarizing a topic. It’s harder for a model to skip over something it can’t generate on its own.
A wider spread of sources helps. Coverage from a mix of publications, forums, and industry sites looks more convincing than the same handful of sources linking back over and over.
Mentions without a link still matter. AI models often recognize a brand name even without a clickable link attached. That doesn’t replace link building, but it’s a reminder that visibility isn’t only about anchor text anymore.
Steady effort beats a single push. A flurry of links followed by months of nothing doesn’t read the same as ongoing, consistent coverage. Both search engines and AI training data seem to reward the latter.
Where This Is Probably Headed
Nobody knows exactly what search will look like in a few years. AI-generated answers are likely to keep growing, and traffic to individual websites may keep shrinking in some categories. But the basic idea of earning trust, whether from a search algorithm or a language model, isn’t going anywhere. It’s just showing up in more places at once.
Link building isn’t outdated. It’s still one of the more reliable signals that both search engines and newer AI tools use to figure out who’s worth paying attention to. The specific tactics will keep shifting, but sites that treat links as real endorsements rather than a box to check tend to come out ahead, whatever search looks like next.
For businesses reworking their SEO approach now that AI answers are part of the mix, it helps to work with people who pay attention to both sides of that equation. That’s largely what Vladenza focuses on, helping brands build the kind of link profile and content authority that holds up whether someone is scrolling through search results or asking a chatbot for a recommendation. The agency’s take on SEO link building treats every link as part of a bigger trust signal, not just a shortcut to a higher ranking.
Trust Is Still the Signal
Link building hasn’t lost its place in SEO. What’s changed is who’s reading the signal. It used to be crawlers and ranking algorithms. Now it’s also the retrieval systems and language models shaping how people get answers every day. The basic idea, earning trust through real, relevant connections, hasn’t gone anywhere. It just has a new audience paying attention.
