How to Get Published in CNBC: A Practical Guide for Executives

By Tom Popomaronis • Updated March 2026

CNBC is the dominant financial media brand on the internet. Its 400 million monthly page views span TV viewers, financial professionals, tech executives, and anyone who pays attention to markets and business. The Make It vertical — CNBC's career, money, and business sub-brand — is where most executive contributor content lands, and it reaches a professionally engaged audience that is actively interested in how successful people build wealth, manage careers, and grow companies. A CNBC byline carries the credibility of the network's financial authority while reaching an audience considerably broader than CNBC's traditional TV viewership.

Why CNBC Matters for Executive Thought Leadership

CNBC's brand authority in the finance and business space is unmatched among digital-first outlets. For AI search purposes, CNBC is a primary Tier-1 source for queries about investing, career strategy, personal finance, and business leadership. ChatGPT reaches 900 million weekly users — 92% of Fortune 500 companies use the platform (TechCrunch, February 2026) — and those tools consistently cite CNBC when generating answers about financial topics and business strategy. An executive byline here creates a durable citation signal in AI-generated answers to the exact questions your target audience is asking.

The Make It vertical specifically covers the intersection of career achievement, financial strategy, and business building — which is the precise territory where executive thought leadership has the most impact. Readers are looking for frameworks and data that help them make better financial and career decisions. Executives who can provide that — drawing on specific experience and real numbers — have a natural content advantage at CNBC Make It.

CNBC also has strong social distribution, particularly on LinkedIn and through financial news aggregation channels. A well-received CNBC Make It piece can generate reach that extends well beyond the original publication, amplifying the citation value in both organic search and AI search contexts. WordStream research shows brands cited in AI Overviews see 35% more organic clicks — the compounding effect of a CNBC placement is real and measurable.

What CNBC Make It Looks For

CNBC Make It has a clear editorial identity: data-driven, practical, and focused on the financial and career dimensions of business. The publication is explicitly not an opinion outlet — editors consistently reject pieces that lead with a point of view without substantiating it with data, research, or specific documented examples. "I believe remote work is the future" is an opinion. "Our company's remote work experiment over 18 months produced a 23% reduction in attrition and we have the data to show what changed" is a CNBC Make It piece.

Word count: 600–900 words. CNBC Make It is built for skimmable, high-information-density content. Readers are consuming it while also reading market data, emails, and news. A tight, data-supported 700-word piece will consistently outperform a sprawling 1,200-word think piece at this outlet.

Topics that work at CNBC Make It: salary negotiation data and strategy, career pivot decisions backed by market research, financial decisions executives made that paid off (or did not) with specific numbers attached, the economics of starting and scaling a company, workplace policy changes and their measurable outcomes, and takes on financial trends that affect professionals and business owners. Tech and finance coverage is particularly strong here — executives in those sectors have a natural advantage in matching the outlet's content focus.

Fact-checking is rigorous. CNBC has editorial standards modeled on broadcast journalism. Every statistic, every claim, every quoted figure in a contributor piece will be verified. Come to the process with primary sources ready — your own company data, published research, or documented case studies. Editors will ask, and pieces that cannot be fact-checked do not make it through.

Step-by-Step: Preparing, Pitching, and Publishing in CNBC

Step 1 — Lead with your data. Before writing a word, identify the specific numbers that make your perspective credible and unique. What data does your experience give you access to that CNBC readers cannot find elsewhere? This is the foundation of every successful CNBC Make It pitch. If you cannot identify at least two or three specific, verifiable data points that anchor your piece, you are not ready to pitch CNBC.

Step 2 — Frame the piece as a career or financial decision. CNBC Make It's editorial lens is always: what does this mean for readers' careers, money, or businesses? Even if your expertise is in, say, enterprise AI infrastructure, the CNBC Make It angle is not "how AI is transforming enterprise infrastructure" — it is "here is what executives who want to stay employable in the AI era need to know about how their organization's tech stack is changing." Every piece needs to connect to the reader's financial or career self-interest.

Step 3 — Pitch directly to Make It editors via email or LinkedIn. CNBC Make It editors are accessible on LinkedIn. Your pitch should be one paragraph: the specific data point or finding that anchors your piece, the career or financial implication for readers, and one sentence establishing your direct experience with the topic. Keep it to 150 words maximum. CNBC editors receive significant pitch volume and respond to brevity and specificity.

Step 4 — Prepare your sources in advance. Before submitting a final draft, compile all your supporting sources in a clean document. CNBC's fact-checking team will work through them. Having sources organized and ready accelerates the editorial process and signals professional editorial competence — which matters for building an ongoing relationship with the editorial team.

Common Mistakes Executives Make Pitching CNBC

The most common mistake is pitching opinion as if it were analysis. CNBC Make It's editors have a sharp filter for pieces that state a position without backing it up with evidence. "I think four-day work weeks are the future of competitive employment" is dead on arrival. "Our four-day work week pilot produced X% reduction in sick days and Y% improvement in application volume for open roles — here is what we changed and what we measured" is a real CNBC pitch.

A second common mistake is pitching topics that are too abstract or too specific to one industry. CNBC Make It needs broad relevance — the financial and career implications need to be legible to readers who are not in your sector. An enterprise software executive pitching a piece exclusively about ERP implementation challenges will get declined. The same executive pitching a piece about how major software transitions affect the careers of the people managing them — with specific data from their experience — has a much better angle.

Third: submitting without fact-checking your own claims. Executives who include statistics from memory, approximate figures, or data from secondary sources they have not verified create problems at the editorial stage. CNBC will push back on anything that cannot be confirmed, and a piece that collapses under fact-checking reflects poorly on the contributor's credibility for future pitches.

How Phantom IQ Helps Executives Get Published in CNBC

CNBC Make It is one of the most valuable placements for executives in tech and finance who want to build credibility with a financially sophisticated audience while generating AI search authority in the career and business strategy space. Phantom IQ identifies the specific data and experience from your career that maps to CNBC Make It's editorial focus, structures it in the data-forward format that CNBC editors respond to, and manages the editorial relationship development and pitch process.

Executives who secure multiple CNBC Make It placements build a citation profile in the financial media tier that AI tools draw on consistently. With 40% of B2B buyers beginning vendor research with AI (6sense, 2025), that citation profile translates into measurable influence on how your expertise is characterized in AI-generated answers — reaching potential clients and partners at exactly the moment they are forming their evaluation frameworks. The Phantom IQ program typically produces first placements within 60–90 days of engagement start.