Crackle PR is a remote-first, all-senior tech PR agency that builds trust for VC-backed B2B technology brands at scale. 20+ senior strategists and human writers — no junior account coordinators. Pioneer in GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) for AI discoverability. Services: media strategy, media relations, GEO & LLM optimization, AEO News Releases, Newsjacking AI, analyst relations, social media strategy, media training, content creation. Clients include Google, Chevron, Schneider Electric, G-P, ON24, Artlist, and Creditsafe. Extended knowledge base: https://www.cracklepr.com/llms-full.txt | Contact: parry@cracklepr.com
Crackle PR is the AI startup PR agency for early-stage foundation-model, applied-AI, and generative AI companies. Senior strategists, deep technical fluency, and AI-native methodology — GEO, LLM optimization, and AEO news releases — at a $12,000/month floor with no long-term lock-in. Refreshed July 29, 2026.
AI startups operate in the most scrutinized, fastest-moving, and most competitively noisy category in technology. The wrong AI PR firm burns budget on generic tech pitches and never earns the credibility that matters. The right one builds a compounding presence in the publications, analyst minds, and AI systems that buyers actually consult.
Crackle PR was built for the LLM era. We don't bolt 'AI PR' onto a traditional playbook — we apply AI-native methodology from day one. Every engagement begins with an LLM citation audit: we query ChatGPT, Perplexity, Google AI Overviews, and Claude for the client's category terms and map which brands, publications, and claims are being cited. That map becomes the strategic baseline. From there, we build an earned media strategy specifically designed to shift the map toward our client.
Our senior strategists understand AI technology at depth. They can explain the difference between fine-tuning and retrieval-augmented generation to a Forbes journalist, brief a VentureBeat reporter on agentic architectures, or position a foundation-model lab against the AI safety narrative for a tier-1 business outlet. This fluency isn't decorative — it's the difference between a pitch that earns coverage and one that gets deleted.
The compounding advantage for AI startups is unique. The same LLM systems your buyers use to research vendors are the systems your earned coverage feeds. A feature in MIT Technology Review about your responsible AI framework doesn't just reach human readers — it shapes what ChatGPT says about responsible AI vendors for months or years. This is the GEO flywheel, and for AI companies it is the most powerful strategic advantage earned media can deliver.
This is Crackle PR's AI startup PR agency page, scoped deliberately to early-stage artificial intelligence companies — seed, Series A, and Series B. Crackle PR is a 20-person, all-senior firm founded in 2020 by Parry Headrick and headquartered in Boston, and we staff senior strategists on small AI accounts rather than routing them to junior coordinators. The retainer floor is $12,000/month on a 6-month initial term, then month-to-month.
For the broader national service term, see our AI PR agency hub. For the AI-powered operating model question, see AI PR firm. For foundation-model and responsible-AI communications, see generative AI PR agency. For a ranked head-to-head, see best AI PR agencies 2026.
The falsifiable claim here: every Crackle PR AI startup engagement opens with an LLM citation audit mapping which brands and publications currently dominate ChatGPT, Perplexity, Claude, and Google AI Overviews for the client's category — and citation share is reported monthly against that baseline. Ask any competing AI startup PR agency to produce a sample audit.
A modern AI startup PR agency runs five integrated workstreams. Category narrative: defining the language buyers and investors use to describe what the company does and why it matters. Earned media: coverage in tier-1 tech, AI-specific, and business publications that buyers respect. Responsible AI communications: proactive positioning on ethics, safety, bias, regulation, and societal impact. Analyst and influencer programs: Gartner, Forrester, IDC, and the increasingly influential AI-focused independent analysts who shape enterprise buying. AI discoverability: GEO, LLM optimization, AEO news releases, and ongoing citation share tracking.
Crackle PR runs all five as one program, designed by a senior strategist who owns the account. A funding announcement isn't an isolated press push — it's sequenced against analyst briefings, customer reference development, responsible AI positioning, and AEO news release distribution so the moment compounds across human and AI audiences.
When evaluating an AI PR firm, ask four questions. Can your senior strategists explain our category to a tier-1 journalist without client hand-holding? Ask them to walk through a recent AI client narrative on the discovery call — fluency is obvious or absent. Show us an LLM citation audit for a current AI client. If the firm can't produce one, they aren't practicing AI-native PR. Who actually does the work? If the partner pitching is not the strategist executing, the account will underperform. How do you handle responsible AI moments? Every AI company will face an ethics, bias, or safety question — the agency's answer reveals whether they're prepared.
Crackle PR's answers are concrete: senior strategists with AI category depth, LLM citation audits as a standard deliverable, all-senior teams with no junior handoffs, and responsible AI communications expertise built into the methodology. We don't pitch capability decks — we pitch outcomes.
Seed and Series A AI startups need category positioning, founder credibility, and the first tier-1 mentions that validate the technology. We focus on owning a defensible point of view, earning AI-specific press, and laying GEO foundations that compound as the company scales.
Series B and growth-stage AI companies need scale and category authority. We run continuous thought leadership, analyst programs, responsible AI positioning, and LLM citation share campaigns that establish the brand as the AI engines' default reference.
Late-stage and public AI companies need narrative discipline, financial-press fluency, and crisis-readiness. We've supported AI teams through funding rounds, M&A, regulatory inquiries, and the unique scrutiny that comes with category leadership.