How We Earned 1,000+ Links for GEO/SEO

Kevin Rowe, CEO of PureLinq, spent two years rebuilding how his agency earns links. One client campaign came out of it with more than 1,000 earned citations, including coverage in The Wall Street Journal, Fortune, Axios, Fox Business, and Reuters.

Those citations came in slowly at first. The first month produced exactly one link, the client complained, and Kevin talked him into staying with it. This connects with to Get Cited & Stay Visible when the same signal needs a clearer operating decision.

Why Isn't Link Building Working Anymore?

Kevin opened with a story he said he had never told publicly. Around 2020, PureLinq nearly shut down. "Overnight I think I lost half of our business because link building just stopped working," he said. "So I had to rethink everything. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

The useful check is whether this improves the system behind search performance, not only the words on the page. Internal links, crawlable content, clear entities, current evidence, and a sensible page structure all help the recommendation become easier to trust.

What Kind of Data Story Do Journalists Actually Cover?

Rebuilding around research raises an obvious question: what makes a dataset worth a journalist's time? Kevin narrowed it to five, and he called that slide the most valuable in the deck. See all five data story angles. His student loan. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

How Do You Turn a Blog Into a Research Hub That Ranks in AI Overviews?

A good angle is worth little if you can only produce one a year. Kevin's first case study covers a team publishing them on a schedule. The client was a B2B brand with national reach and no physical locations, losing visibility to local. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals. A useful companion note is What AI Says About Your Locations, because it looks at a nearby part of the same system.

The operational question is whether the public business data is complete enough to support the query. Hours, categories, services, reviews, photos, and page content need to reinforce each other so Google can understand the business in a specific situation, not only as a generic listing.

Can You Still Get Clicks When AI Overviews Show Up?

All that coverage raises a fair objection: does ranking still pay when AI Overviews answer the query on the results page? "We are not in the zero click world. 100% not," Kevin said. "You can still get a ton of traffic from search. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

The risk is usually hidden in the execution layer. A page can look fine to a human and still fail for an automated visitor if the form, call to action, rendering path, or confirmation step is not accessible enough for the agent to complete the task.

Q&A: Most Helpful Questions from the Webinar

Kevin took live questions for the last stretch of the session. Short versions of four of them are below. Kevin's full answers are in the recording. The practical question is what this changes in the system: the page structure, the evidence presented, the measurement habit, or the way the topic is connected to related work.

The practical value is in connecting the idea to an observable signal. That means deciding what should be checked, what would prove the issue is real, and where the team should make the smallest useful improvement first.

Q: Do syndicated press releases help brand authority and SEO, or should we focus on our own data studies plus outreach?

Kevin answered: do not count on syndication networks for links. "I wouldn't rely on that for the links. You want pickups," he said, meaning the value shows up only when a journalist picks the story up and writes about it. He sees. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

Q: If we publish original research on our own site, how likely is AI to cite it without any further distribution?

Kevin answered: possible, but slow. Genuinely unique, high value research can rank and get cited with very little pitching, and his team has seen it happen with an academic study written by a university scientist. Without distribution,. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

Q: What link building strategy do you recommend for local service businesses like home remodelers or wedding photographers?

Kevin answered: go local with news and data. Find something happening at the city or state level, then find data relevant to it, the way his team surveyed homeowners with irrigation systems to learn what blocks outdoor water efficiency. Local visibility depends on whether the details across pages, profiles, categories, reviews, photos, and service descriptions reinforce the same answer for a specific location based query.

Q: Are you seeing an increase in brand mentions or qualified traffic from LLMs?

Kevin answered: better conversion, low volume. Clicks arriving from ChatGPT convert at a higher rate than average, including on ecommerce, and ChatGPT is the largest measurable source of direct clicks among the AI platforms his team. The practical read is that brand signals need to be consistent enough for both people and AI systems to form a stable view of the company, its expertise, and its trust signals.

Watch the Full Webinar

The full session covers all five data story angles, the placement and traffic numbers from both case studies, the research hub architecture and publishing cadence, the inbound PR flywheel, the ranking methodology behind the studies holding. The search implication is whether the section improves the evidence around the page, not simply whether it adds more wording. Clear entities, crawlable structure, internal links, and useful context are what make the topic easier to evaluate.

What the visibility signal actually changes

What the visibility signal actually changes: how We Earned 1,000+ Links for GEO/SEO: the Operator's View should be treated as a visibility signal, not a standalone headline. Introduction Kevin Rowe, CEO of PureLinq, spent two years rebuilding how his agency earns links. One client campaign came out of it with more than 1,000 earned citations, including coverage in The Wall Street Journal, Fortune, Axios, Fox Business, and. The same pattern also shows up in AI Search Is Working., where the practical question is how the signal becomes visible.

What the visibility signal actually changes: the practical question is whether the page, brand evidence, and surrounding content make the answer easier to trust. If that support is weak, search systems can still understand the topic but fail to connect it confidently to the brand.

What the visibility signal actually changes: that is why the response should begin with an audit of the evidence already on the site before creating a new asset. The fastest improvement is often a clearer page, a better internal link, or a stronger explanation of why the brand belongs in the answer.