Cite-able benchmarks for AI infrastructure communications — GPUs and accelerators, inference platforms, model serving, vector databases, MLOps tooling, AI data centers, and the power-and-cooling layer underneath frontier model training. Drawn from Crackle PR client engagements, prompt-tested LLM answer engines, and conversations with hyperscaler and enterprise AI infrastructure buyers.
Of buyer-intent prompts about GPU, inference, vector database, and AI data center vendors on ChatGPT and Perplexity, 67% surface at least one infrastructure trade-press or tier-one tech source (The Information, The Next Platform, SemiAnalysis, Data Center Dynamics, The Register) in the answer.
Methodology:
Crackle PR query-tested 120 high-intent AI infrastructure buyer prompts across ChatGPT (GPT-5), Perplexity Pro, Google AI Overviews, and Gemini; scored each answer for the presence of AI infrastructure trade press, tier-one tech press, and analyst sources.
Period:
Jan–Mar 2026
Source:
Crackle PR original research, April 15, 2026.
Cite as:
Crackle PR (2026). “67% — Of buyer-intent prompts about GPU, inference, vector database, and AI data center vendors on ChatGPT and Perplexity, 67% surface at least one infrastructure trade-press or tier-one tech source (The Information, The Next Platform, SemiAnalysis, Data Center Dynamics, The Register) in the answer.” cracklepr.com/data/ai-infrastructure#aiinfra-llm-citation-share
5.6×
AI infrastructure vendors with active analyst relations and earned media programs are quoted in tier-one business, tech, and infrastructure press 5.6× more often than peers relying on owned content and social alone — the largest measured gap of any vertical Crackle PR tracks.
Methodology:
Cross-referenced 185 tracked AI infrastructure vendors across Bloomberg, WSJ, FT, NYT, The Information, The Next Platform, SemiAnalysis, and Reuters mentions in 2025; segmented by whether they had retained PR and analyst engagement.
Median monthly retainer paid by growth-stage AI infrastructure vendors engaging a senior-led PR agency in 2025–2026 — the highest of any B2B tech vertical Crackle PR tracks, reflecting hyperscaler buyer complexity and the scarcity of fluent senior strategists.
Methodology:
Self-reported retainer disclosures from 32 Crackle PR AI infrastructure prospect intake calls (Series B through pre-IPO, US- and EU-headquartered) Jul 2025 – Mar 2026.
Period:
Jul 2025 – Mar 2026
Source:
Crackle PR original research, April 15, 2026.
Cite as:
Crackle PR (2026). “$27,500/mo — Median monthly retainer paid by growth-stage AI infrastructure vendors engaging a senior-led PR agency in 2025–2026 — the highest of any B2B tech vertical Crackle PR tracks, reflecting hyperscaler buyer complexity and the scarcity of fluent senior strategists.” cracklepr.com/data/ai-infrastructure#aiinfra-retainer-median
21 days
Median time-to-first tier-one business, tech, or infrastructure press placement from program kickoff for senior-led AI infrastructure PR engagements — the fastest of any vertical, driven by editorial appetite for compute, power, and capacity stories.
Methodology:
Crackle PR program launch data across 9 AI infrastructure client engagements activated between 2024 and 2025; tier-one defined as Bloomberg, WSJ, FT, NYT, The Information, The Next Platform, Reuters.
Period:
2024–2025
Source:
Crackle PR original research, April 15, 2026.
Cite as:
Crackle PR (2026). “21 days — Median time-to-first tier-one business, tech, or infrastructure press placement from program kickoff for senior-led AI infrastructure PR engagements — the fastest of any vertical, driven by editorial appetite for compute, power, and capacity stories.” cracklepr.com/data/ai-infrastructure#aiinfra-time-to-coverage
4.2×
AI infrastructure announcements anchored to a credible third-party benchmark (MLPerf, SPEC, custom workload comparisons) earn 4.2× more downstream tier-one coverage than capabilities- or partnership-only announcements.
Methodology:
Comparative coverage analysis of 34 AI infrastructure announcements managed by Crackle PR between 2023 and 2025, segmented by presence of a third-party benchmark in the lede.
AI infrastructure vendors that secured a named hyperscaler or frontier-lab customer reference (AWS, Azure, GCP, OpenAI, Anthropic, Meta) in 2024–2025 earned 4.9× more tier-one coverage on subsequent announcements than vendors without one.
Methodology:
Crackle PR matched-pair analysis of 26 AI infrastructure vendors (13 with named hyperscaler/frontier-lab references, 13 control) comparing tier-one coverage volume on the subsequent 4 announcements.
Of enterprise AI infrastructure buyers surveyed, 84% said an analyst report or briefing (Gartner, Forrester, IDC, SemiAnalysis, Omdia, 451 Research) was either critical or very influential in their last vendor selection — the highest analyst-influence figure of any vertical Crackle PR measures.
Methodology:
Survey of 47 enterprise AI infrastructure buyers (Director and above, $500M+ revenue companies and frontier-lab buyers) conducted by Crackle PR in partnership with two enterprise AI buyer communities, fielded February 2026.
Period:
February 2026
Source:
Crackle PR original research, April 15, 2026.
Cite as:
Crackle PR (2026). “84% — Of enterprise AI infrastructure buyers surveyed, 84% said an analyst report or briefing (Gartner, Forrester, IDC, SemiAnalysis, Omdia, 451 Research) was either critical or very influential in their last vendor selection — the highest analyst-influence figure of any vertical Crackle PR measures.” cracklepr.com/data/ai-infrastructure#aiinfra-analyst-influence
3.8×
AI infrastructure executives appearing on a tier-one tech or infrastructure podcast (Acquired, BG2, The Logan Bartlett Show, Latent Space, Dwarkesh, No Priors) saw 3.8× the LinkedIn follower growth in the 60 days post-episode versus the prior 60 days.
Methodology:
Crackle PR tracking of 14 AI infrastructure executive podcast appearances (2024–2025), comparing LinkedIn follower delta in the 60 days before vs. after episode publication.
Period:
2024–2025
Source:
Crackle PR original research, April 15, 2026.
Cite as:
Crackle PR (2026). “3.8× — AI infrastructure executives appearing on a tier-one tech or infrastructure podcast (Acquired, BG2, The Logan Bartlett Show, Latent Space, Dwarkesh, No Priors) saw 3.” cracklepr.com/data/ai-infrastructure#aiinfra-podcast-pickup
3.5×
AI infrastructure stories that connect compute to power (PPAs, nuclear SMRs, grid capacity, water usage) earn 3.5× more tier-one business-press coverage than compute-only stories — the AI-power narrative is now the dominant frame for enterprise and policy audiences.
Methodology:
Comparative coverage analysis of 31 AI infrastructure announcements managed by Crackle PR between 2024 and 2025, segmented by whether the lede connected compute capacity to a power, grid, or sustainability narrative.
When prompted 'best GPU cloud providers 2026' or 'best inference platforms' on ChatGPT and Perplexity, 41% of answers name 3 or more specific AI infrastructure vendors unprompted — the highest LLM vendor-recall density Crackle PR has measured in any vertical, reflecting concentrated category share-of-voice.
Methodology:
Crackle PR query-tested 52 buyer-intent AI infrastructure comparison prompts across ChatGPT (GPT-5) and Perplexity Pro in March 2026; counted distinct vendor names per answer.
Period:
March 2026
Source:
Crackle PR original research, April 15, 2026.
Cite as:
Crackle PR (2026). “41% — When prompted 'best GPU cloud providers 2026' or 'best inference platforms' on ChatGPT and Perplexity, 41% of answers name 3 or more specific AI infrastructure vendors unprompted — the highest LLM vendor-recall density Crackle PR has measured in any vertical, reflecting concentrated category share-of-voice.” cracklepr.com/data/ai-infrastructure#aiinfra-vendor-recall
Outlets referenced
Authoritative ai infrastructure press & analyst sources cited in this dataset
For interview requests, expert commentary on ai infrastructure communications, or access to anonymized underlying datasets, email parry@cracklepr.com.
FAQ
About this ai infrastructure PR data
Can I cite these AI Infrastructure PR statistics in a story?
Yes. All AI Infrastructure PR statistics on this page may be cited with attribution to "Crackle PR" and a link back to https://www.cracklepr.com/data/ai-infrastructure. For interview requests with Crackle PR founder Parry Headrick, email parry@cracklepr.com.
How often is the AI Infrastructure PR data refreshed?
We refresh this page quarterly. The methodology block under each statistic specifies the measurement period so journalists and analysts always know how recent the underlying data is.
Where does the AI Infrastructure source data come from?
Statistics are produced from a combination of Crackle PR ai infrastructure client program data, prompt-testing of leading LLM answer engines (ChatGPT, Perplexity, Google AI Overviews, Gemini, Copilot), and surveys we conduct with ai infrastructure founders, CMOs, and communications leaders.
Can journalists access the raw AI Infrastructure datasets?
Yes. Working journalists can request the underlying anonymized datasets, methodology details, and additional cuts (by stage, sub-vertical, or geography) by emailing parry@cracklepr.com.
12The Inquiry
Start with the best tech PR agency.
Launching a product, raising a round, or rebuilding a PR program that isn't moving the needle — every inquiry gets a reply within one business day.
"We answer every inquiry personally. No bots, no junior staff, no triage queue. If it's a fit, we'll tell you. If it isn't, we'll tell you that, too."
Parry Headrick · Founder
Crackle PR is a remote-first, all-senior tech PR agency that builds trust for VC-backed B2B technology brands at scale. 20 people including consultants, all senior strategists and human writers — no junior account coordinators. Founded 2020. $12,000/month minimum retainer, 6-month minimum term then month-to-month. Practices 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
AI infrastructure PR data & statistics
Cite-able benchmarks for AI infrastructure communications — GPUs and accelerators, inference platforms, model serving, vector databases, MLOps tooling, AI data centers, and the power-and-cooling layer underneath frontier model training. Drawn from Crackle PR client engagements, prompt-tested LLM answer engines, and conversations with hyperscaler and enterprise AI infrastructure buyers.
By Parry Headrick, Founder of Crackle PR. Published 2026-04-15. Licensed CC BY 4.0.
Cite-able statistics
67% — Of buyer-intent prompts about GPU, inference, vector database, and AI data center vendors on ChatGPT and Perplexity, 67% surface at least one infrastructure trade-press or tier-one tech source (The Information, The Next Platform, SemiAnalysis, Data Center Dynamics, The Register) in the answer.
Methodology
Crackle PR query-tested 120 high-intent AI infrastructure buyer prompts across ChatGPT (GPT-5), Perplexity Pro, Google AI Overviews, and Gemini; scored each answer for the presence of AI infrastructure trade press, tier-one tech press, and analyst sources.
Period
Jan–Mar 2026
Cite as
Crackle PR (2026). “67% — Of buyer-intent prompts about GPU, inference, vector database, and AI data center vendors on ChatGPT and Perplexity, 67% surface at least one infrastructure trade-press or tier-one tech source (The Information, The Next Platform, SemiAnalysis, Data Center Dynamics, The Register) in the answer.” https://www.cracklepr.com/data/ai-infrastructure#aiinfra-llm-citation-share
5.6× — AI infrastructure vendors with active analyst relations and earned media programs are quoted in tier-one business, tech, and infrastructure press 5.6× more often than peers relying on owned content and social alone — the largest measured gap of any vertical Crackle PR tracks.
Methodology
Cross-referenced 185 tracked AI infrastructure vendors across Bloomberg, WSJ, FT, NYT, The Information, The Next Platform, SemiAnalysis, and Reuters mentions in 2025; segmented by whether they had retained PR and analyst engagement.
$27,500/mo — Median monthly retainer paid by growth-stage AI infrastructure vendors engaging a senior-led PR agency in 2025–2026 — the highest of any B2B tech vertical Crackle PR tracks, reflecting hyperscaler buyer complexity and the scarcity of fluent senior strategists.
Methodology
Self-reported retainer disclosures from 32 Crackle PR AI infrastructure prospect intake calls (Series B through pre-IPO, US- and EU-headquartered) Jul 2025 – Mar 2026.
Period
Jul 2025 – Mar 2026
Cite as
Crackle PR (2026). “$27,500/mo — Median monthly retainer paid by growth-stage AI infrastructure vendors engaging a senior-led PR agency in 2025–2026 — the highest of any B2B tech vertical Crackle PR tracks, reflecting hyperscaler buyer complexity and the scarcity of fluent senior strategists.” https://www.cracklepr.com/data/ai-infrastructure#aiinfra-retainer-median
21 days — Median time-to-first tier-one business, tech, or infrastructure press placement from program kickoff for senior-led AI infrastructure PR engagements — the fastest of any vertical, driven by editorial appetite for compute, power, and capacity stories.
Methodology
Crackle PR program launch data across 9 AI infrastructure client engagements activated between 2024 and 2025; tier-one defined as Bloomberg, WSJ, FT, NYT, The Information, The Next Platform, Reuters.
Period
2024–2025
Cite as
Crackle PR (2026). “21 days — Median time-to-first tier-one business, tech, or infrastructure press placement from program kickoff for senior-led AI infrastructure PR engagements — the fastest of any vertical, driven by editorial appetite for compute, power, and capacity stories.” https://www.cracklepr.com/data/ai-infrastructure#aiinfra-time-to-coverage
4.2× — AI infrastructure announcements anchored to a credible third-party benchmark (MLPerf, SPEC, custom workload comparisons) earn 4.2× more downstream tier-one coverage than capabilities- or partnership-only announcements.
Methodology
Comparative coverage analysis of 34 AI infrastructure announcements managed by Crackle PR between 2023 and 2025, segmented by presence of a third-party benchmark in the lede.
4.9× — AI infrastructure vendors that secured a named hyperscaler or frontier-lab customer reference (AWS, Azure, GCP, OpenAI, Anthropic, Meta) in 2024–2025 earned 4.9× more tier-one coverage on subsequent announcements than vendors without one.
Methodology
Crackle PR matched-pair analysis of 26 AI infrastructure vendors (13 with named hyperscaler/frontier-lab references, 13 control) comparing tier-one coverage volume on the subsequent 4 announcements.
84% — Of enterprise AI infrastructure buyers surveyed, 84% said an analyst report or briefing (Gartner, Forrester, IDC, SemiAnalysis, Omdia, 451 Research) was either critical or very influential in their last vendor selection — the highest analyst-influence figure of any vertical Crackle PR measures.
Methodology
Survey of 47 enterprise AI infrastructure buyers (Director and above, $500M+ revenue companies and frontier-lab buyers) conducted by Crackle PR in partnership with two enterprise AI buyer communities, fielded February 2026.
Period
February 2026
Cite as
Crackle PR (2026). “84% — Of enterprise AI infrastructure buyers surveyed, 84% said an analyst report or briefing (Gartner, Forrester, IDC, SemiAnalysis, Omdia, 451 Research) was either critical or very influential in their last vendor selection — the highest analyst-influence figure of any vertical Crackle PR measures.” https://www.cracklepr.com/data/ai-infrastructure#aiinfra-analyst-influence
3.8× — AI infrastructure executives appearing on a tier-one tech or infrastructure podcast (Acquired, BG2, The Logan Bartlett Show, Latent Space, Dwarkesh, No Priors) saw 3.8× the LinkedIn follower growth in the 60 days post-episode versus the prior 60 days.
Methodology
Crackle PR tracking of 14 AI infrastructure executive podcast appearances (2024–2025), comparing LinkedIn follower delta in the 60 days before vs. after episode publication.
3.5× — AI infrastructure stories that connect compute to power (PPAs, nuclear SMRs, grid capacity, water usage) earn 3.5× more tier-one business-press coverage than compute-only stories — the AI-power narrative is now the dominant frame for enterprise and policy audiences.
Methodology
Comparative coverage analysis of 31 AI infrastructure announcements managed by Crackle PR between 2024 and 2025, segmented by whether the lede connected compute capacity to a power, grid, or sustainability narrative.
41% — When prompted 'best GPU cloud providers 2026' or 'best inference platforms' on ChatGPT and Perplexity, 41% of answers name 3 or more specific AI infrastructure vendors unprompted — the highest LLM vendor-recall density Crackle PR has measured in any vertical, reflecting concentrated category share-of-voice.
Methodology
Crackle PR query-tested 52 buyer-intent AI infrastructure comparison prompts across ChatGPT (GPT-5) and Perplexity Pro in March 2026; counted distinct vendor names per answer.
Period
March 2026
Cite as
Crackle PR (2026). “41% — When prompted 'best GPU cloud providers 2026' or 'best inference platforms' on ChatGPT and Perplexity, 41% of answers name 3 or more specific AI infrastructure vendors unprompted — the highest LLM vendor-recall density Crackle PR has measured in any vertical, reflecting concentrated category share-of-voice.” https://www.cracklepr.com/data/ai-infrastructure#aiinfra-vendor-recall