Original research is most valuable when a brand needs to earn trust in a specific market and influence multiple discovery systems at once.

In this case, the campaign worked because it aligned three stakeholder needs:

1. Journalists needed a new story.
2. Agency leaders needed useful insight.
3. Search and AI systems needed trusted evidence of expertise.

The result was not just media coverage. It was a stronger trust signal across the integrated search ecosystem.

Context

A B2B financial services brand wanted to earn trust with marketing agency leaders.

The old playbook would have focused on content marketing, SEO pages, and link building. But the objective had changed. The brand did not just need links. It needed trusted third-party validation from sources its audience and search systems could recognize.

The core question was:

Can original research earn media coverage that supports brand trust, audience relevance, traditional search visibility, and AI search visibility at the same time?

The New Search Visibility Problem

Search visibility is no longer influenced by links alone.

Traditional search, AI search, and human buyers increasingly rely on an integrated set of trust signals: expertise, experience, authority, trust, brand mentions, media coverage, social sharing, audience behavior, and validation from credible third-party sources.

That created a challenge for the brand.

The company had real expertise in commercial collections and late-payment risk, but it had no meaningful visibility in marketing trade publications. Marketing agencies were a high-fit audience, but they were unlikely to trust a collections company based only on standard SEO content or link-building tactics.

To influence this new ecosystem, the brand needed more than content. It needed a story that could satisfy three stakeholders at once:

Barriers to Earning Media That Influences Search

The campaign had to overcome several barriers.

Baseline

Before the campaign, the brand had no brand mentions from marketing trade press tied to agency cash-flow issues.

That meant the brand had limited visibility in the places where agency leaders, journalists, traditional search engines, and AI search systems could connect the company to this topic.

Strategy and Hypothesis

The strategy was to use original research to create a story at the intersection of three things:

1. A real audience problem
2. A journalist-worthy tension
3. A topic connected to the brand’s expertise

The hypothesis was:

If we could show that marketing agencies were experiencing rising demand while also facing widespread late-payment pressure, then marketing trade publications would have a compelling story to cover, agency leaders would see value in the insight, and the brand would earn trusted signals that support both traditional and AI search visibility.

This approach worked because original research served each stakeholder differently.

For journalists, it provided a new story.

For agency leaders, it explained a hidden business tension.

For search and AI systems, it created external validation from trusted sources that connected the brand to its area of expertise.

This is one of the data visualizations we created to show the change in interest.

Process

1. Audience Research

We studied agency conversations, trade press, forums, and AI-assisted research to understand what agency leaders were worried about.

The key insight was that agencies were not only concerned about demand. Many were seeing increased interest in their services, especially around AI and digital transformation, but late payments were making that growth harder to manage.

This created the central story tension:

Agencies were growing on paper but starving for cash.

2. Research Development

We built a data-backed report around that tension.

The research combined demand signals, labor market data, and payment data to show two sides of the agency economy: increased interest in marketing services and widespread late-payment pressure.

This made the story more than a brand opinion. It became a documented market insight.

3. Content Optimization

We turned the research into a citeable article with interactive charts and a simple narrative structure.

The content was optimized for multiple discovery environments:

4. Distribution

We pitched the research directly to marketing, advertising, and agency-focused publications.

The pitch did not lead with the brand. It led with the audience problem: agencies were seeing more demand, but late payments were creating cash-flow instability.

The research was also shared socially, where the emotional relevance of the issue helped the story travel beyond the initial media placements.

Results

The campaign earned a feature story in Storyboard18 and coverage or syndication across additional marketing and agency publications.

The media coverage positioned the brand as a credible source on late payments, agency cash flow, and business risk. The story also generated social sharing from marketing professionals because it reflected a real operational pain point.

The campaign produced more than a link-building outcome. It created an integrated set of visibility signals:

Why It Worked

The campaign worked because it solved for the full ecosystem, not just one channel.

Journalists got a new, data-backed story with a clear reader hook.

Agency leaders got insight into a problem they were experiencing but may not have seen quantified: demand can rise while cash flow gets worse.

Search and AI systems received signals that the brand had credible expertise in the topic: original research, trusted media coverage, brand mentions, links, citations, and audience engagement.

Most importantly, the campaign overcame the trust gap. Instead of asking the audience to believe the brand directly, the research earned validation from publications the audience already recognized.

A financial services firm wanted to earn media coverage relevant to its target audience and strengthen its trust in commercial debt collection and corporate financial risk. But they wanted to increase trust with the audience, AI search, and traditional search simultaneously.

The brand’s audience was also localized to specific markets across the US, so they needed local media coverage.

The Problem

Traditional PR approaches, pitching services or company news, would not resonate with journalists or deliver coverage that would influence traditional or AI search visibility. The brand needed a way to stand out in a crowded financial media landscape and provide real value to reporters.

Traditional link building might slightly improve search visibility, but it has a limited impact on AI search and wouldn’t increase trust with the audience.

The Solution

Instead of promoting the company directly, we created original research that answered a timely and relevant question: Which U.S. financial districts are most at risk of office foreclosures?

The research ranked major financial districts using clear risk indicators, including median days on market, vacancy rate, and vacancy rate growth. This transformed a complex commercial real estate issue into a simple, localized story.

The findings revealed that San Francisco, Seattle, and Houston were the most exposed financial districts, with Seattle ranking second. This gave journalists a strong local angle and a compelling narrative.

Axios Seattle used the study to explain why the city’s downtown office market had shifted from boom to bust. The publication cited the report, linked directly to the original study, included brand mentions, and quoted the company’s CEO as an expert source.

The Results

The campaign succeeded because it made the story easy to understand, easy to localize, and easy to trust. Instead of asking journalists to cover a financial services firm, we provided a story from evidence backed by data: a clear ranking, a local impact, and expert insight.

The company secured a feature article in Axios Seattle, including a followed editorial link, multiple brand mentions, and authoritative expert attribution.

Should a financial services brand use original research to earn national media coverage, natural links, and brand mentions?

The brand needed a stronger way to demonstrate expertise in debt trends. In a high-trust category like financial services, generic advice content was not enough. Buyers, journalists, and publishers needed evidence that the brand understood the larger financial pressures affecting Americans.

The opportunity was to use original research to move the brand from a service provider to a credible source in the national conversation around debt.

Key insights

• Original research earns citations: The campaign worked because it offered a useful data point, not just a brand message.

• Links accrued over time: The study kept earning links and mentions after the initial outreach push because the topic had ongoing relevance.

• Media coverage created secondary links: The Fox Business story made the research more visible, which helped attract additional inbound links beyond direct outreach.

• The value was the full authority footprint: The win was not just one placement. It was national coverage plus 58+ unique domains linking to or mentioning the brand.

• A strong data story drove distribution: The 430% student loan debt increase was simple, surprising, and easy for other publishers to reference.

Problem

Most content in the debt space explains processes, tactics, or legal considerations. That kind of content can support search visibility, but it does not always create third-party credibility.

The brand needed an authority signal that could travel beyond its own website. A standard blog post might rank, but it would not necessarily give journalists or other publishers a reason to cite the brand.

To earn a more natural link profile, the campaign needed a story with independent value: something useful, timely, and credible enough for media and secondary publishers to reference.

Strategy

PureLinq developed a data-led report showing how American debt changed over 20 years.

The research compared major debt categories, including student loans, mortgages, auto loans, and credit cards. Instead of treating the report as a broad debt overview, we looked for the clearest editorial hook inside the data.

The strongest finding was: Student loan debt increased by 430% since 2003.

Image: data visualization to show change over time

That statistic gave the campaign a simple, timely, and emotionally relevant angle. It connected the brand’s expertise to a national personal finance issue people were already discussing.

The strategy was not just to publish a study. It was to create a citation-worthy research asset that could earn coverage, brand mentions, and links because the data was useful to others.

Process

1. Audience insights

We started by identifying the audiences most likely to care about the topic.

The audience was not only people searching for debt advice. It also included personal finance journalists, business editors, and publishers looking for credible data on household debt, student loans, credit cards, mortgages, and auto loans.

The key insight was that journalists did not need another general comment about rising debt. They needed a clear statistic that helped explain how debt had changed over time.

2. Research

We built an original data report analyzing changes in American debt from 2003 to 2023.

By comparing multiple debt categories, we were able to show that student loan debt had grown far faster than other forms of debt. That contrast made the 430% increase more meaningful and gave the story a stronger editorial frame.

The research also included state-level debt findings, which expanded the number of possible angles and made the report useful for both national and regional coverage.

3. Optimize shareability

We shaped the report so it was easy for journalists and publishers to reference.

The campaign emphasized the strongest national statistic, a clear comparison across debt categories, and geographic findings that made the research more adaptable.

The goal was to make the study easy to quote, summarize, cite, and reuse. That helped the research function as more than a single blog post. It became a source other publishers could build from.

4. Distribute

We pitched the research to relevant personal finance and business media.

The 430% student loan debt statistic became the lead angle because it was specific, surprising, and tied to an active public conversation.

That outreach earned national coverage in Fox Business, where the study was used as the foundation for an article about the rise in student loan debt and ways consumers can reduce their debt.

Results

The campaign earned a national media placement in Fox Business, which cited the study’s key finding that student loan debt increased by 430% since 2003.

But the value extended beyond one article.

The study went on to earn links and brand mentions from more than 58 unique domains, creating a broader authority footprint around the research. These links and mentions did not come from a single burst of outreach. They accrued over time as the story became more visible, discoverable, and useful to other publishers.

Final result:
Fox Business coverage + 58+ unique domains linking to or mentioning the brand.

Why it worked

The campaign worked because the research gave publishers a reason to cite the brand.

It was not promotional content dressed up as a study. It was a useful data story with a clear statistic, public relevance, and a direct connection to a topic people already cared about.

For SEO and AI search, the value was not only the backlink from a national publication. It was the repeated association between the brand and expertise in American debt, student loans, and financial stress.

That is what made the link profile more natural. The campaign created a research asset that earned attention through media relations, then continued attracting citations and mentions as the story spread.