Sourcing Expert Quotes for Content Without a PR Budget

Two forces have converged to make expert attribution a competitive necessity rather than a stylistic preference: generative AI has saturated the web with generic, surface-level content, and Google has tightened its quality signals around demonstrated human experience and expertise. Exposure Ninja's 2026 content marketing trends guide names the inclusion of original insights, expert quotes, and first-hand experience as a visibility requirement for appearing in AI Overviews and in AI-generated discovery engines like ChatGPT, Claude, and Perplexity.

Google's E-E-A-T framework draws a sharp line between a page that claims expertise and a page that demonstrates it. A page asserting "we are experts" proves nothing on its own; a page that shows who wrote it, what sources back its claims, and what real-world experience informed it sends the signal Google's systems are built to detect. The March 2026 core update hardened that distinction at the algorithmic level: AI-generated articles with genuinely original data survived, while human-written articles that merely summarized existing sources lost visibility. For content teams without a research budget or proprietary data set, expert quotes are one of the few scalable ways to manufacture that originality.

CMI's December 2025 piece, drawing on input from 42 experts, names the irony directly: the more AI comes to dominate content production, the more real human voices and real relationships become the thing that separates one piece of content from the next. The scarcity isn't content, it's credible, attributable human judgment, and the rest of this piece addresses how a lean team gets access to it.

The traditional path to expert access

Demand for expert-attributed content has risen at the exact moment the conventional access route to it has narrowed. Many publications are now retroactively inserting expert quotes into existing content specifically to bring it into line with E-E-A-T expectations, which has created genuine supply pressure on the pool of experts willing to comment. A content team competing for those same experts' time is competing against established outlets with larger audiences and existing relationships.

The instinct is to treat this as a budget problem, solvable by hiring a PR agency to broker access. The evidence says otherwise. Among high-performing content teams, content quality and team skills drove effectiveness far more than budget allocation did, with budget ranking last among the factors CMI and MarketingProfs identified in their research. That finding reframes the whole problem: the gap between teams that land expert quotes consistently and teams that don't is a gap in process and skill, not spend.

Compounding the problem, the platform most teams defaulted to for years is gone in its original form. HARO was retired and merged into Connectively, which shut down permanently on December 9, 2024; the HARO brand was later acquired by Featured.com and relaunched in April 2025, but the market it once dominated has fragmented for good. A team that still thinks of "finding expert sources" as a single destination with a single workflow is working from an outdated map. The rest of this guide is the corrected one.

Where experts are already willing to talk

The HARO vacuum didn't eliminate the supply of experts willing to talk to journalists and content teams, it redistributed them across several distinct platforms, each with its own audience, query volume, and niche focus. Choosing the right one matters more than trying to use all of them at once.

Source of Sources, founded by PR veteran Peter Shankman, is free to use. Journalists submit queries, and subscribers receive two to three email digests a day, with experts able to reply directly to the journalist who posted the request. SourceBottle operates on a similar free model, connecting journalists, bloggers, and media professionals with expert sources, and is especially active in Australia, the UK, and the US; because it draws less competition than HARO once did, response rates tend to run higher. For teams working specifically in B2B verticals, MentionMatch (formerly Help a B2B Writer) focuses on categories like SaaS, sales, marketing, SEO, content marketing, ecommerce, and more, useful for content teams operating in those verticals.

Featured, formerly known as Terkel, works a bit differently: journalists post structured questions, experts submit written answers directly on the platform, and selected responses get published in roundup articles across a network of business and lifestyle sites, with a link back to the contributor. Functionally, it is the closest thing on the market today to HARO's original model. Outside any dedicated platform, monitoring the hashtags #journorequests, #prrequest, #mediarequest, and #bloggerrequest on X or Bluesky remains the most direct option available, requiring no tool at all and costing nothing.

Qwoted is where a large share of former HARO power users migrated. It connects sources with journalists through a searchable database and a steady feed of media requests, and it skews toward finance, technology, healthcare, and business reporters at credible publications. Its free plan allows two pitches a month with a two-hour delay before sources can respond, while paid tiers add more pitch credits, 35 a month on the Pro tier, along with more advanced filters.

The reopened HARO itself, relaunched on April 22, 2025 by Featured.com as a free, ad-supported email digest, still exists and still carries real reach. It also carries a documented caveat: users report AI-generated responses flooding the platform with little quality control in place, which has degraded the signal for journalists and experts alike. That doesn't make the platform unusable, but it does mean a team relying on it should expect more noise to filter through than on some of its smaller, newer competitors.

How to reach experts directly

Query platforms put a content team in a reactive position: the team can only respond to whatever request happens to appear that week, in that niche. Direct outreach removes that constraint and hands the team control over timing, specificity, and the kind of voice it wants on the page. It also only works when the expert already has some reason to recognize the name reaching out.

That reason is built well before the request is sent. A connection made weeks or months earlier, who has seen a content professional comment thoughtfully on industry posts, is no longer a stranger when the ask finally comes; that person is a familiar face with relevant context, and a request from a familiar face lands differently than a cold pitch ever does. LinkedIn is the natural venue for building that familiarity: following and engaging with experts in a given topic area, well before there's anything to ask them for, means that when a request eventually arrives, it arrives on top of an existing relationship rather than out of nowhere.

Specificity does the rest of the work. A vague request, something like "can I pick your brain?", pushes all the effort of defining the ask back onto the expert, and most experts simply won't do that work for a stranger. A specific, bounded question, for instance: "in one or two sentences, what would you say to a founder who thinks they can skip this step?", makes participation fast and nearly frictionless. The incentive for the expert to say yes is the same one that drives responses on the platforms described above: visibility, a link, and association with credible published content. Direct outreach can offer all three, provided the request is framed to make that value clear rather than assumed.

What makes an expert willing to respond

Whether a request gets a response depends less on which platform it came through, or how warm the relationship is, than on three plain questions the expert is answering before they decide to reply: is this easy to answer, is it clearly bounded, and is it worth their time.

Easy to answer means the request already comes with a specific angle and a rough word count attached, so the expert isn't staring at a blank page trying to guess what's wanted. Open-ended requests tend to produce either silence or an answer too general to use. Clearly bounded means the expert knows, before agreeing to anything, what the piece is about, who will read it, what's needed from them (one paragraph, one key insight, a short anecdote), and when it's due. Ambiguity on any of those points is among the most common reasons an expert declines outright or simply stops responding. Worth their time means the expert understands, in plain terms, what they get in return, a named credit, a link, exposure to an audience relevant to their own work. It's basic transparency about why answering is a reasonable use of a busy person's afternoon.

The pitches that kill themselves tend to share a few habits: asking for a lengthy written contribution with no guidance on length or focus, sending an obviously generic request that shows no familiarity with the expert's actual work, setting a deadline too tight to allow any real thought, or asking for something that would force the expert to publicly contradict a client or an employer. Any one of those is usually enough to end the exchange before it starts.

Where the E-E-A-T argument breaks down for expert sourcing

Expert sourcing doesn't pay the same dividend on every piece of content, and treating it as a universal obligation wastes a lean team's limited time. Google's own documentation is explicit that E-E-A-T is not itself a ranking factor; its systems weight E-E-A-T signals, experience, expertise, authoritativeness, and trust, more heavily for topics that could significantly affect a reader's health, financial stability, or safety, the category generally referred to as YMYL content. A practitioner writing about project management software is working against a materially lower bar than a publisher covering medical treatment or financial advice.

That distinction changes the return on effort calculation directly. For YMYL topics, expert attribution is close to a requirement; for most B2B and marketing content, it remains a meaningful differentiator, but it isn't a threshold a piece must clear to rank or convert. Spending the same hours chasing an expert quote for a low-stakes, low-competition blog post that a team would spend on a piece about financial risk or clinical outcomes is a misallocation.

AI-generated responses have begun flooding several of the reactive query platforms. The value of appearing as a genuine expert source is diluted whenever the surrounding contributors on the same platform aren't genuine themselves. A content team sourcing quotes through those same channels faces the mirror version of that problem: more noise to sort through before finding a usable, credible voice. The sensible response is to prioritize expert sourcing for content addressing high-stakes topics for the reader, high-competition search terms, or situations where originality is the only available differentiator, and to deprioritize it for low-competition, low-stakes pieces where a well-written human voice already clears the bar on its own.

Building a repeatable system so expert sourcing doesn't start from zero each time

The teams that solve this problem sustainably are the ones who've built a small, maintained roster of willing contributors and a standing process for activating it, so every new piece doesn't require rebuilding the entire sourcing effort from nothing.

That starts with a living contributor list. After any successful quote exchange, the expert's name, topic area, preferred contact method, and any constraints, they won't comment on competitors, they need two weeks' notice, belong in a shared document the whole team can draw on. That document is the exact asset a PR agency would otherwise charge a retainer to build and maintain. The second habit is consistency on the query platforms themselves: platforms like SOS and SourceBottle reward regular responders with familiarity and trust from journalists over time, and a team that only appears when a deadline is looming will consistently get worse results than one running a standing weekly check.

Published content does some of the recruiting on its own after that. A well-attributed piece that names and links its expert contributors tends to generate inbound interest from other experts who want that same visibility for themselves. The first few names on the roster are the hardest to secure; every piece published after that makes the next one easier to source. That pattern, not any single pitch template, is what the CMI and MarketingProfs finding on budget ranking last among effectiveness factors actually points to: a repeatable expert-sourcing process is a genuine competitive advantage available to a two- or three-person content team, built over a few months of consistent habit rather than purchased in a single retainer.