How to Get TechCrunch Coverage as a Series A or B Startup

TechCrunch covers Series A and B startups that meet two conditions: a story worth telling and a journalist who already knows who you are. Most pitches fail on the second one. The publication receives thousands of founder pitches monthly, and the ones that land aren't usually the loudest. They come from founders who built reporter relationships before they needed coverage, had a specific angle that matched the beat, and gave the journalist something genuinely new to work with.

Getting covered on TechCrunch isn't about being impressive. It's about being useful to a specific reporter working a specific beat on a specific deadline. The startups that earn consistent TechCrunch coverage — across funding rounds, product launches, and category stories — treat editorial relationships the way they treat customer relationships: built slowly, maintained through relevance, and never wasted on a cold unsolicited pitch.

What that coverage then reaches inside AI answers is measured rather than assumed, and the measurement is narrower than the usual pitch for it. In the Machine Relations Index release of October 4, 2026, techcrunch.com is cited in 170 of 20,821 monitored answer runs, and 160 of those 170 citations land on news-shaped questions. On the six enterprise software buyer questions — best tools, how buyers choose, is it worth it, problem-first research, top lists, comparisons — TechCrunch is not observed as a cited source at all. A placement reaches the human reader and the news answer. It is not what puts a company in the shortlist answer.

What TechCrunch Actually Covers at Series A–B

TechCrunch is not a press release aggregator. Its reporters cover stories — which means they need a narrative, not just an announcement.

At the Series A and B stage, the types of stories TechCrunch runs regularly fall into a few recognizable patterns:

Funding rounds with traction context. TechCrunch covers hundreds of rounds per year, but the ones that get real editorial space — not just a brief — are the ones where the funding signals something already working. ARR milestones, enterprise customer logos, retention rates. The check validates a trajectory; it doesn't replace one.

Category creation. If you coined a term and own the search space around it, TechCrunch reporters covering that beat will eventually write about the category. The companies that show up in that coverage are the ones already in the reporter's mental model as category references — well before any pitch arrives.

Genuine technical differentiation. TechCrunch's tech reporters are sophisticated. Claiming AI when you mean keyword matching doesn't work. Founders who can explain the actual mechanism of their technical edge — without jargon — get taken seriously. Those who rely on buzzwords get filed under noise.

Founder profiles. An unusual backstory, domain authority from a prior career, or a contrarian bet that turned out to be right — these make for profiles. TechCrunch runs them at Series A–B when the founder has something to say that goes beyond the pitch deck narrative.

The common thread: TechCrunch covers startups that have become worth covering before they ask to be covered. The editorial process rewards preparation, not reach-outs.

What a TechCrunch Placement Reaches in AI Answers, Measured

The common pitch for TechCrunch coverage at this stage is that it feeds AI recommendations. The Machine Relations Index monitors six answer engines (ChatGPT, Claude, Gemini, Google AI Mode, Google AI Overviews and Perplexity) on buyer prompts and records which root domains each answer cites. Its TechCrunch profile in release mri_score_v2.0+2026-10-04+1a1218e0e1ed (window 2026-05-10 to 2026-10-04) says what that coverage actually reaches:

• techcrunch.com was cited in 170 of 20,821 monitored answer runs (0.82%), on 47 of 141 days, by five of the six engines — Gemini did not cite it in the window. Confidence B. That directly measured rate across five engines is what makes it a strong source; read the rate first, not any class position.
• 160 of those 170 citations are news-shaped. TechCrunch's news-driven standings: legacy news topics #7 of 4,017 (97 of 2,138 runs, 4.54%), martech and advertising #31 of 1,243 (23 of 602, 3.82%), cybersecurity #64 of 1,338 (14 of 623, 2.25%), HR and talent #130 of 1,246 (9 of 608), fintech #130 of 1,528 (9 of 616), enterprise software #190 of 1,371 (6 of 596, 1.01%), healthcare services #574 of 1,261 (2 of 613).
• 10 of the 170 land on a buyer-question shape, spread across five segments, and in four of the five TechCrunch sits in the bottom half of the cited field: AI security and privacy problem-first research (3 runs, #103 of 406), AI security and privacy is-it-worth (1 run, #388 of 423), emergent prosumer is-it-worth (4 runs, #46 of 198), emergent prosumer how-buyers-choose (1 run, #227 of 255), fintech how-buyers-choose (1 run, #215 of 228).

TechCrunch in this release	Cited runs
News-shaped questions, 7 categories	160 of 170
Buyer-question shapes, 5 segments	10 of 170
Enterprise software buyer shapes (all six)	Not observed

What the enterprise software shortlist answers cite instead. Read the six segment leaderboards and the same source classes appear:

• Category databases. erpresearch.com ranks first on three of the six shapes: 37.40% (49 of 131 runs) on best tools, 24.81% (32 of 129 runs) on how buyers choose, and 25.55% (35 of 137 runs) on the is-it-worth shape. G2 ranks fourth on best tools, 12.21% (16 of 131 runs).
• The software trade press. TechTarget ranks third on how buyers choose, 17.05% (22 of 129 runs), and third on comparisons, 12.59% (18 of 143 runs).
• Analysts. Gartner ranks fourth on top lists, 11.11% (16 of 144 runs).
• Vendor-owned product pages. netsuite.com ranks second on the is-it-worth shape, 16.06% (22 of 137 runs); zapier.com ranks first on problem-first research, 11.03% (15 of 136 runs); servicenow.com ranks fourth on comparisons, 11.89% (17 of 143 runs).
• Community platforms. LinkedIn ranks second on comparisons, 16.08% (23 of 143 runs); Reddit ranks second on problem-first research, 10.29% (14 of 136 runs).

The business press does reach these answers — through a different title. Forbes is cited on four of the six shapes: best tools, 13.74% (18 of 131 runs); comparisons, 6.99% (10 of 143 runs); the is-it-worth shape, 4.38% (6 of 137 runs); how buyers choose, 3.10% (4 of 129 runs). The Index records no Forbes citation on top lists or on problem-first research in this window.

Across all six leaderboards the Index records no techcrunch.com citation in this window. The distinction that matters here is between outlets, not between press and everything else.

TechCrunch's overall standing of #11 of 1,594 classified editorial publications is read off the Index's source_role field, whose editorial class currently admits some platform domains alongside edited newsrooms and whose denominator moves between releases — the citation rate above is the primary measure. See the MRI methodology and update log.

The general research on engine source preference points the same way at a coarser grain, which is why it is easy to over-read.

A September 2025 arXiv paper found AI search systems show "a systematic and overwhelming bias towards Earned media (third-party, authoritative sources) over Brand-owned and Social content". A July 2025 arXiv study of 366,000 citations found AI citation concentrating among a small number of outlets. Muck Rack's May 2026 What Is AI Reading? analysis found 84% of cited links in its sample come from earned media, the sources brands neither own nor pay for, with journalism accounting for 27%.

All three are true about earned media as a class, and all three are cross-category samples. Per outlet and per question shape, the Index is the measurement that applies — and it says a TechCrunch story is cited when the question is about what changed, not when the question is which vendor to buy.

The demand side is not in dispute. Gartner found 51% of consumers say generative AI has already changed their research habits, and G2 research found 51% of B2B software buyers now start research with AI chatbots more often than with Google. Your buyers are asking engines first. The open question is only which of your assets those answers are built from.

Method and limitations

Every citation figure on this page is read from the Machine Relations Index release mri_score_v2.0+2026-10-04+1a1218e0e1ed, window 2026-05-10 to 2026-10-04. Absence statements are read from the Index's own enumerated public leaderboards, each of which lists every cited domain in that segment with its run denominator: https://machinerelations.ai/index/categories/enterprise-software/best_x (218 cited domains over 131 runs), https://machinerelations.ai/index/categories/enterprise-software/how_choose (217 over 129), https://machinerelations.ai/index/categories/enterprise-software/is_x_worth (239 over 137), https://machinerelations.ai/index/categories/enterprise-software/problem_first (313 over 136), https://machinerelations.ai/index/categories/enterprise-software/top_list (320 over 144) and https://machinerelations.ai/index/categories/enterprise-software/x_vs_y (233 over 143). The per-domain record for techcrunch.com is https://machinerelations.ai/index/domains/techcrunch.com, which enumerates every segment in which the domain was cited.

"Not observed" means the Index recorded no citation of that domain in that segment during the window. It is a statement about these monitored prompts on these six engines, not about every AI answer, and a citation is not evidence that the answer was supported by the source. Standings move between releases because the cited field in each segment is recounted each time.

The 90-Day Approach: From Unknown to Cited

Most Series A–B founders think about press in bursts — around funding announcements or product launches. That's exactly why they get ignored between bursts. The founders who consistently get TechCrunch coverage operate on a different timeline.

Month 1 — Build the editorial map. Identify the 3–5 TechCrunch reporters whose beats align with your category. Read their last 30 articles. Understand what kinds of companies they cover, what narrative hooks they use, and what they've written they won't cover. Don't pitch yet. Understand what they actually care about before you try to be part of it.

Month 2 — Become a useful source. Offer a reporter a perspective on a trend they're already writing about. Not a pitch about your company — a POV, some data, or an introduction to someone relevant. Reporters run source conversations constantly. Being useful before you need coverage is how you get coverage when you do need it. This is how reporter relationships actually form, and it can't be shortcut.

Month 3 — Pitch one story, not one announcement. When you have something worth announcing, pitch it as a story with a narrative: what changed, why now, what it signals about the category. A funding round is not a story. A funding round that validates a bet most people thought was wrong — that's a story. Give the reporter the angle, the data, and the access they need to write something their readers will find useful. The pitch should read like the first paragraph of the article, not a press release summary.

This process doesn't guarantee a placement. TechCrunch reporters make independent editorial decisions. What it does guarantee is that when you're worth covering, you won't be starting cold.

What Most Founders Get Wrong

They pitch the company, not the story. "We just raised $X at a $Y valuation" is not a story. It's the raw material for a story. The story is what the funding proves, what it enables, and what it says about the market.

They pitch too early. A startup with no traction, no differentiated angle, and no category context gets one shot at a reporter's attention. Burning it on a premature pitch closes the door that patience would have kept open.

They treat every announcement equally. Not everything deserves a TechCrunch pitch. Founders who understand this — who save the TechCrunch relationship for genuinely newsworthy moments — are the ones reporters trust to bring them real stories over time.

They expect the placement to do a job it doesn't do. A TechCrunch story is a human media moment and a news-answer citation. It is not, in this release, what puts a company into the buyer shortlist answer. Founders who assume one placement will change what ChatGPT recommends when a buyer asks for the best tools in their category are buying the wrong instrument for that question, and will read the result as a PR failure rather than a category mismatch.

For more on how earned media drives AI search citation, the class-level mechanism is consistent across publications; which outlet reaches which question shape is not, and is measured per release.

Where TechCrunch Coverage Fits in a Series A–B Visibility Program

TechCrunch coverage is one track of two, and the Index says which questions each one reaches.

Track one is an owned source page per buyer question you need to win: a comparison page for "comparisons", a plain-language cost and outcome page for "is it worth it", a problem-first page that names the problem in the vocabulary your buyers already use. Those are the pages the buyer-question answers in your category are assembled from — vendor-owned pages, category databases, trade press and community threads — and they are the majority of every cited field on all six enterprise software shapes.

Track two is earned coverage, chosen by which questions each outlet actually reaches: the trade press of your category and Forbes for the buyer shapes they are cited on, and TechCrunch for the human buyer, the investor and the news answer. A company that does only track two has authority with the human and nothing in the shortlist answer. A company that does only track one has extractable pages and no independent corroboration when the question is about what changed.

This is what Machine Relations — the parent category for GEO, AEO, AI SEO and AI PR — treats as one program: presence in the source classes the engines cite for each question shape, measured per release, with earned media as one of those classes rather than the whole. The Index is published by Machine Relations and is not an AuthorityTech product; it measures observed root-domain citations in monitored prompts, not recommendation quality, traffic or revenue.

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Start by understanding where you currently appear when a buyer asks AI systems about your category. The AuthorityTech visibility audit shows your current editorial footprint and AI citation baseline — so you know what you're building toward, not just what you're pitching for.

Frequently Asked Questions

How many pitches does TechCrunch receive, and what percentage actually get covered?

TechCrunch reporters receive dozens to hundreds of pitches per week depending on the beat. The percentage that result in standalone editorial coverage is small — reporters themselves have noted that cold pitch acceptance rates are in the single digits. The rate for warm pitches, from founders already in a reporter's source network, is meaningfully higher. The structural advantage belongs to founders who build relationships before they need coverage.

Do I need a PR agency to get TechCrunch coverage as a Series A startup?

Not necessarily. Plenty of Series A–B founders get TechCrunch coverage through direct relationship-building with reporters. A PR firm with genuine, existing relationships with specific TechCrunch reporters can accelerate the process — the keyword being genuine. Agencies without real editorial relationships add process without adding access. If you're evaluating a PR partner, ask them to name the specific TechCrunch reporter they'd approach for your story and why.

What's the difference between a TechCrunch brief and a full editorial feature?

TechCrunch publishes two tiers of coverage: short briefs that run on the funding beat (a few hundred words summarizing a round with minimal context) and longer editorial features that explore a company's story in depth. Briefs have lower editorial barriers and are primarily triggered by funding announcements. Features require a compelling narrative, reporter interest, and usually multiple conversations. Both tiers sit on the same domain, so both reach the same question shapes the Index observes for techcrunch.com; the Index measures citations per root domain and does not distinguish brief from feature.

How does a TechCrunch placement affect my company's visibility in AI search tools?

Measured, it reaches the news-shaped answer. In the October 4, 2026 Index release techcrunch.com is cited in 170 of 20,821 monitored answer runs by five of six engines, and 160 of those 170 citations are on news-driven questions. On the six enterprise software buyer questions — best tools, how buyers choose, is it worth it, problem-first research, top lists, comparisons — TechCrunch is not observed at all; those answers are assembled from category databases, the software trade press, analysts, vendor-owned pages and community platforms. So a placement puts your company in front of the human reader, the investor, and the AI answer to "what changed in this market". Getting into the shortlist answer is a different job, done with owned source pages per buyer question.

Is TechCrunch coverage still worth pitching if it does not reach the shortlist answer?

Yes, for what it does do. TechCrunch is one of the most-cited editorial domains the Index observes and is #7 of 4,017 on legacy-news-topic citations, so a story there is durable third-party corroboration that answer engines reach for when the question is about what happened. It also does the human work this stage needs: investor signal, recruiting, enterprise credibility when a buyer searches your name. Pitch it for those outcomes and measure it against them, rather than against a shortlist position it is not the instrument for.