Link building is one of those topics where everyone has a hot take and almost nobody agrees. After sitting across from link building specialists, enterprise SEOs, black-hat investigators, and nine-figure digital landlords on the Unscripted SEO podcast, one thing has become clear: the practitioners who actually move rankings have a very different relationship with links than the ones who just talk about them.
Links Are a Math Problem, Not a Relationship Hustle
Alejandro Meyerhans built GetMeLinks into a seven-figure agency approaching links as a mathematical system. His five-dimension evaluation framework: topical relevance → link neighborhood → organic traffic of the linking page → link velocity of the linking domain → placement and context. The co-occurring text around your link is a ranking signal. Google and LLMs both read the sentence your link lives in. A link wrapped in contextually relevant text passes more information than a bare anchor in a sidebar. That said, at the local level, the relationship is the signal — Chamber memberships, sponsorships, community cross-promotions.
Authority Metrics Are Lagging Indicators
DA and DR tell you where a site has been, not where it’s going. A DA 70 site that hasn’t earned a new link in 18 months is not the same as a DA 70 site actively earning links in your niche. Velocity and recency matter. And link quality is multidimensional — a link that scores high on authority but low on relevance, placement, and context may underperform one that’s merely solid across all dimensions.
The Dark Side: The $10 Infinite Ranking Loop
Timothy Malmros documented the canonical trick: buy an expired domain for $10, blast it with cheap spam links for topical relevance, then canonicalize it to a fresh target domain. Google’s systems — built to trust canonicals — get exploited at scale. Understanding the exploit reveals what Google is actually measuring: trust signals derived from the link graph, canonical relationships, and brand mention co-occurrence.
Link Building and Entity Building Are Converging
As LLMs become a primary discovery channel, the value of a link isn’t just the PageRank it passes — it’s whether that link appears in a source an LLM is trained to trust. Wikipedia, authoritative trade publications, podcast show notes from credible hosts, and structured niche citation databases. These links do double duty: traditional PageRank signal and co-occurrence patterns that shape how LLMs describe and recommend brands. The link building strategy that wins in traditional search is increasingly the same one that wins in AI visibility.
Podcast Appearances: The Most Underutilized Link Building Tactic
A single podcast episode creates: a direct editorial link from credible show notes, attribution content that establishes entity signals, niche-qualified audience distribution, and content that surfaces in LLM training data. LLMs are trained heavily on podcast transcripts and show notes. A well-indexed appearance from a credible show is citation-quality content in an LLM’s reference pool.
Insights synthesized from episodes of the Unscripted SEO Interview Podcast featuring Alejandro Meyerhans (GetMeLinks), Paul Baterina (REVOLVE), Kasra Dash, Timothy Malmros, James Dooley, Joe Fisher, Charles Floate, and Apurva Bose (Overtake Digital).
