AI Startup PR: How to Get Covered in TechCrunch, The Information and Forbes in 2026

Every AI PR agency page I've scanned says the same nothing: "We build relationships with top-tier journalists to get your brand the visibility it deserves." Salient, Avaans, 5W, SHIFT, SlicedBrand. They all mention TechCrunch and Forbes. None of them tell you what those outlets actually take, what they reject on sight, or what your pitch needs to contain before a journalist even decides whether to read sentence two.

That missing operational detail is what I'm going to give you here. Not a list of outlet names, but the editorial bar at each desk, the signals that get you through the first filter, and what the motion looks like when a senior operator runs it rather than a junior account coordinator dispatching a mass pitch.

Why AI startup PR is different from general tech PR

Two things make AI-specific PR harder than a typical SaaS or fintech round.

First, the signal-to-noise problem is extreme. Journalists receive hundreds of AI pitches weekly, and most fail the first filter: does this company have a story that matters to readers who've seen a thousand large language model wrappers this month? Thin LLM wrappers without workflow ownership don't pass editorial scrutiny at any tier-1 outlet. AI-native infrastructure, vertical SaaS embedded in mission-critical workflows, platforms with defensible data moats: those get coverage.

Second, editorial coverage and AI search visibility are now the same problem. The editorial coverage an AI startup generates feeds directly into whether it appears in AI-generated research results, which investors and enterprise buyers use in their diligence process. If your company isn't in ChatGPT or Perplexity's answer when a buyer asks who leads your category, you effectively don't exist to that buyer. The publications AI systems trust most, TechCrunch, Forbes, VentureBeat, The Information, are the same ones that shaped human brand perception for decades. Earning placement there is simultaneously a PR win and an AI citation asset.

Those two dynamics mean your PR strategy needs to do two jobs at once: earn independent editorial coverage and structure that coverage so it gets cited and retrieved by AI systems. Most agencies optimise for one and ignore the other.

TechCrunch AI desk: what gets in, what doesn't

TechCrunch's editorial strategy for AI companies has evolved fast. Early 2023 favoured foundational model innovation. By late 2024, the focus shifted to application-layer winners with proven enterprise adoption. In 2026, TechCrunch AI coverage prioritises three things: revenue velocity that defies normal SaaS growth curves, category-defining positioning before incumbents lock in dominance, and founding teams with track records that suggest this isn't their first company.

Journalists there are increasingly sceptical of generic AI pitches. According to TechCrunch's own stated guidance, they actively seek founders who can comment knowledgeably and quickly on unfolding events, not founders who rehash product announcements. Coverage that lands there is almost always tied to a market shift the reader needs to understand, not a product feature the company wants to announce.

A few concrete things that don't work on the TechCrunch AI desk:

• Partnership announcements between two companies neither of which has meaningful traction
• "We're using AI to transform [legacy industry]" without revenue or customer data to anchor it
• Generic commentary on AI trends that the reporter has already written about three times this month

What does work: funding news tied to a clear category thesis, with customer data included in the briefing. Proprietary research or survey data a reporter can use as their own analytical hook. A product story attached to a macro shift, regulatory, technical, competitive, that gives the reporter a reason to file that week.

Existing tier-2 and tier-3 coverage matters more than most founders realise. A VentureBeat feature or a vertical trade deep dive provides social proof that other editors found the story compelling. TechCrunch reporters use this as a filter: if no one else has written about this company, the risk that the story doesn't hold increases. This is why sequencing matters. Trade press first, then TechCrunch, not the other way around.

The best TechCrunch placements don't start with a cold email. They start with a journalist already having the founder on their radar as someone who provides sharp, timely commentary on industry developments. That relationship is built months before the pitch lands.

The Information: the highest bar, and why you still want it

The Information is subscription journalism written for people who pay to be well-informed. Its reporters break things the rest of tech media then chases. Readers are senior investors, operators, and executives using it for actual decision-making.

This means the editorial bar is different from TechCrunch. TechCrunch covers interesting companies. The Information covers important narratives. The question isn't "is this startup funded and doing cool things?" It's "does this story change how the people who allocate capital or set strategy think about something?"

For AI startups, The Information is worth pursuing in two specific contexts.

First: you're building something the broader AI ecosystem hasn't figured out how to think about yet. Agentic infrastructure, novel compute approaches, AI governance tooling with real enterprise deployment data. The story has to shift the frame, not confirm it.

Second: your growth metrics are genuinely exceptional. The Information has published growth-velocity stories on AI companies when the numbers are structurally significant, not just good for your stage. "3x ARR in 12 months" doesn't clear the bar. "10,000 enterprise seats in 9 months with 94% net retention" might.

Cold pitches to The Information almost never work. The path in is through a journalist who's already tracking your category, ideally one who's spoken to your investors or followed your previous company. If you can't get a warm introduction, the alternative is building a public record of original thinking: data reports, research memos, pointed commentary on industry events that puts you on the radar before the pitch arrives.

Forbes AI: the dual-format reality

Forbes has two modes: staff editorial and contributor content. Understanding which one you're pitching is essential, because the playbook is completely different.

Forbes staff editorial, including the Forbes AI 50 list, selects companies on a methodology that considers real technical advancement, market impact, revenue generation capability, and quality of leadership. You don't pitch your way onto the AI 50. You build the track record, work the relationships with staff writers covering AI, and make sure you're showing up in the conversations Forbes editors are already having.

For regular Forbes staff coverage of AI funding rounds and company milestones, the practical path is to pitch business outcomes with hard numbers. Forbes enterprise-focused AI coverage wants the ROI story: what did your customers achieve, what did it cost them before, what does it cost now, what changed. Vague claims about "transformation" get ignored. Specific unit economics from named (or at minimum clearly described) customer deployments get attention.

Forbes contributor content is a different motion entirely. The contributor network is how founders build a sustained byline presence at Forbes without waiting for a staff writer to decide their company is worth profiling. A Forbes contributor strategy for AI founders, doing original analysis rather than brand content, is one of the highest-leverage plays in AI PR right now. I've written separately about how the Forbes contributor ecosystem works and how to build a byline that compounds rather than just getting published once.

The key distinction: Forbes staff editorial requires a news peg and a relationship with the right writer. Forbes contributor content requires an original point of view and a relationship with the right contributor. Two different tracks, and most founders don't separate them.

VentureBeat: the enterprise AI default

VentureBeat is the publication enterprise AI decision-makers read every morning. It's organised around three primary beats: artificial intelligence and machine learning, data infrastructure and enterprise analytics, and cybersecurity. The readers are technology leaders in mid-market and enterprise companies. The people deciding which vendors get evaluated.

For AI startups, VentureBeat is the outlet that builds enterprise buyer credibility fastest. It's also one of the publications that ChatGPT, Perplexity, and Google AI Overviews cite when someone asks which AI platforms or tools are worth paying attention to. A placement here functions as a persistent citation in AI-generated answers about your category.

VentureBeat's editorial bar requires more than assertion. They want numbers. Internal deployment metrics. Customer benchmarks. Performance data from real implementations. "We saw a 34% reduction in manual review time when we deployed across our claims processing workflow" is more pitchable than "AI improves operational efficiency." The guest contributor route through DataDecisionMakers accepts practitioner-authored pieces but explicitly rejects AI-written content and anything that reads like marketing copy.

The pitch sequencing that works for VentureBeat: news coverage (funding round, product launch) to establish presence, followed by contributor bylines that build the founder's thought leadership position. VentureBeat's best contributor relationships are ongoing. Editors who trust a contributor accept future pitches faster.

Decrypt's AI desk: where AI and crypto intersect

If you're building at the intersection of AI and blockchain, decentralised compute, AI agent infrastructure, on-chain AI governance, Decrypt's AI desk is a tier-1 placement, not a fallback.

Decrypt wants accessible storytelling that connects the AI-crypto intersection to broader culture, business, or technology trends. They don't want technical whitepapers repackaged as journalism. They want a clear news peg in the lead and a narrative that a sophisticated crypto-native reader, not just an AI specialist, can follow.

For AI-native Web3 founders, the Decrypt play works best when you tie the story to something happening in the broader ecosystem: a model release, a compute cost shift, a regulatory development. Pitch the company through the event, not the event through the company. Decrypt's audience includes institutional allocators who are increasingly tracking AI-crypto convergence as a category, which means a solid Decrypt piece can generate downstream interest from VentureBeat or Forbes Digital Assets if the numbers support it.

Five pitfalls that kill AI PR campaigns

1. Pitching the company, not the story. "I'd like to introduce you to [Company], an AI-powered platform that transforms how enterprises manage [category]" is an advertisement. Start with the story angle: a specific development, a character, a data point, and let the company emerge from context.

2. Wrong outlet for the angle. A deep-dive on AI agent security infrastructure doesn't belong in TechCrunch's startup section. It belongs on VentureBeat's security desk or on The Information's enterprise beat. Sending the right story to the wrong desk signals that you haven't read the publication.

3. AI-generated pitches and quotes. Any expert comments, bylines, or case studies that sound like they were written by AI are a fast track to being ignored by every tier-1 journalist. Reporters can identify this reliably now. Some have publicly said they stop reading the moment they detect it.

4. No prior editorial record. A cold pitch on a company with zero prior coverage is asking a journalist to be the first to take a reputational risk on you. Build the foundation: a VentureBeat or AI Magazine contributor piece, a mention in a category roundup, before you go after TechCrunch or The Information.

5. Pitching too late. For newsjacking, the window for connecting your story to a macro development is typically 24 to 72 hours after a major event. Knowing when not to pitch, when the news environment is dominated by a bigger story, when a particular outlet is on a cycle that won't accommodate the timeline, is as important as knowing when to go. This judgment comes from years of relationship-building that can't be shortcut.

Pre-seed vs Series A vs Series B: the right motion at each stage

The outlet target set changes depending on where you are.

Pre-seed or seed: You don't have the numbers TechCrunch or The Information need. That's fine. Your priority is building the founder's public record: a contributor byline on VentureBeat DataDecisionMakers, a podcast episode with a credible AI-focused show, a mention in a trade roundup like AI Magazine or The Batch. This isn't lesser coverage. It's the record that makes the TechCrunch pitch credible six months later.

Series A ($5M to $20M): You have enough traction to have a real story. One exclusive to TechCrunch's startup desk or VentureBeat's AI beat, paired with a founder op-ed in Forbes or AI Magazine. The exclusive structure matters here: approach one journalist at your target outlet with an exclusive offer. They get to publish the story before anyone else; you get independent editorial coverage rather than a republished press release.

Series B ($20M+): You're now pitching The Information's enterprise beat and Forbes staff writers. The story is no longer about the funding event. It's about category leadership. What market are you defining? What are the numbers? Who are the enterprise customers and what did you do for them? This is also the stage where a Forbes AI 50 application makes strategic sense.

What a fractional operator does differently than a $20K/month agency

The agency model bills by the month regardless of placement outcomes. A six-month retainer at a mid-size tech PR agency runs $15,000 to $20,000 per month. That's $90,000 to $120,000 for a campaign that may or may not produce tier-1 placements, staffed primarily by junior account coordinators working off a shared media list.

I run the motion as a senior operator embedded with the founder on a fractional retainer. No account layers. The journalist relationships I bring are mine, built over six years placing Web3 and AI founders into Forbes, TechCrunch, AI Magazine, Decrypt, VentureBeat, and Blockworks. When I pitch your Series A to a TechCrunch reporter, I'm the one who knows whether they covered your category last week, whether they're working on a feature that your angle could support, and whether this week is a good time to reach out.

The operational things I do that most agency teams don't:

• Identify the specific journalist at each outlet who is actively covering your category right now, not the general desk email
• Pre-build the founder's thought leadership record so the tier-1 pitch lands in context, not cold
• Run embargo coordination across 4 to 6 outlets simultaneously for funding announcements, with staggered timing that gives each journalist their exclusive window
• Ghost-write the founder op-ed that runs in Forbes or VentureBeat alongside the news coverage, so the placement compounds
• Track which placements are being cited by AI assistants and which aren't, and adjust the content structure accordingly

That last point matters more than most founders realise. Not every TechCrunch placement gets cited by ChatGPT or Perplexity. The ones that do have specific structural characteristics: declarative claims, named entities, specific numbers, standalone paragraphs an LLM can extract cleanly. I write the briefings and op-eds to hit those characteristics on purpose.

If you're an AI founder with a round closing or a launch approaching in the next 60 days and you don't have a PR operator embedded yet, book a 30-minute teardown with me. I'll tell you which outlets are realistic for your stage, what your story needs before any journalist sees it, and what a 90-day campaign would actually produce.

Book a 30-min teardown with Shilika