Backlinks have always helped search systems understand authority and discovery.
A page links to another page. Crawlers follow the path. Search engines use that relationship as one signal among many. Traditional SEO often measured this through domain authority, referring domains, anchor text, link placement, and link quality.
AI search adds another layer.
Links now also help systems understand entity relationships.
A useful Medium post explains why backlinks still matter, but AI reads them differently now. For technical and content teams, the important idea is that a link is not only a navigation path. It is also a contextual connection between entities.
The source page is one entity. The linked page is another. The anchor text, surrounding sentence, page topic, author, domain, and broader source context help describe the relationship between them.
A weak link creates a weak relationship.
For example, a backlink from an unrelated page with a generic anchor may technically connect two URLs, but it does not explain much. A link from a relevant page that clearly describes why the brand, tool, article, or service is useful creates a stronger signal.
AI systems need that context when forming answers.
They may look at which sources repeatedly connect a brand to a topic. They may evaluate whether those sources are credible. They may consider whether the surrounding language is consistent with the brand’s own website and other public profiles.
This makes link context more important than link count alone.
A strong AI visibility link profile should reinforce clear entity relationships. A brand should be connected to its category, services, people, locations, case studies, products, and proof points in a way that search systems can interpret.
That means anchors should feel natural. The sentence around the link should explain the connection. The linking page should be topically relevant. The brand description should match the wider entity map.
Structured data can support this, but it cannot replace useful editorial context.
Schema may define an organisation, person, product, article, or service, but backlinks and mentions help confirm those relationships across the wider web. When several trusted sources reinforce the same meaning, the entity becomes easier to classify.
This is where traditional link building starts to look outdated.
A volume-first approach can create noise. A context-first approach can create recognition. AI systems are more likely to trust patterns that are consistent, relevant, and supported by credible sources.
Teams should review backlinks with better questions.
What entity relationship does this link create?
Is the source relevant?
Does the surrounding text explain the connection?
Does the anchor fit naturally?
Does the linked page support the claim?
Does this mention reinforce the brand’s current positioning?
Backlinks still matter because links help systems map the web.
AI search simply raises the standard.
A link is no longer just a vote.
It is a relationship signal.
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