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
Enterprise AI runs on credibility — with analysts, with security reviewers, with the CIO, and now with the LLM the CIO researches inside. We earn all four. Updated November 19, 2026.
B2B AI PR is a different game from consumer AI PR. The buyer is a procurement committee, not an individual. The sales cycle is 6–18 months, not 6 minutes. The proof points are customer outcomes and security posture, not viral demo videos. And the gatekeepers — Gartner analysts, security reviewers, compliance officers, CIOs — all run their own evaluation processes that have nothing to do with TechCrunch.
Crackle PR is a B2B AI PR agency built specifically for that buyer. We run programs across enterprise AI platforms, applied generative AI for vertical industries, AI infrastructure and MLOps, AI observability, agent frameworks, and any AI company whose go-to-market depends on multi-stakeholder enterprise trust.
We pair tier-1 enterprise earned media (WSJ, Bloomberg, Forbes, Fortune, CIO, InformationWeek) with analyst relations at Gartner, Forrester, and IDC — because in enterprise AI, the Magic Quadrant inclusion is often the single highest-leverage PR outcome of the year. We integrate responsible AI positioning for model governance, security, and procurement review. And we engineer LLM citation share on the specific enterprise queries your sales team hears in discovery calls — because the CIO researched you in Perplexity before the meeting.
Analyst recognition. Gartner Magic Quadrants, Forrester Waves, and IDC MarketScapes are the most powerful trust signal in enterprise AI buying. Inclusion changes pipeline. We integrate AR into every B2B AI engagement — briefings, evaluations, RFI responses, and inquiry days.
Enterprise-grade proof points. Customer case studies with named logos, quantified outcomes (cost saved, time recovered, accuracy gained), and a credible governance story (model risk management, evaluation transparency, SOC 2, data residency) — packaged into press, bylines, analyst inputs, and on-site authority.
Tier-1 enterprise business coverage. WSJ, Bloomberg, Forbes, Fortune, CIO, InformationWeek, Forbes Tech Council. We brief reporters on the enterprise AI story underneath the model story — and we run executive thought leadership for CEO, CTO, and Chief AI Officer voices.
Vertical depth. Healthcare AI, financial AI, legal AI, retail AI, software engineering AI, and industrial AI all have different journalists, different analysts, different compliance pressures, and different buyer concerns. We run vertical-AI programs with the depth those audiences expect.
LLM citation share on enterprise queries. 'Best AI platform for [enterprise use case]', 'top AI vendors for [vertical]', 'how do I evaluate AI vendors for [compliance regime]'. These are the queries your prospects run. We engineer the schema, glossary, answers, and earned-media corpus that earn the citation.
B2B AI PR is measurable when run correctly. The leading indicators include analyst inclusion, named-logo case study publication, tier-1 enterprise coverage volume, executive byline placement, and LLM citation share on enterprise buyer queries. The lagging indicators are inbound from named accounts, sales-cycle compression on procurement-heavy deals, and competitive-displacement wins where the buyer named your category leadership as a deciding factor.
We report against the metrics that matter to enterprise AI go-to-market — not impressions. Every monthly review pairs media output with citation share, analyst movement, and named-account pipeline signal.