B2B tech PR benchmarks: published evidence
Crackle PR’s published Q4 2026 AI Visibility Index contains 500 archived agency-selection answers. Its benchmark is shortlist reproducibility—not client performance or a universal AI visibility score.
Published by Parry Headrick, Founder & CEO · Updated
Crackle PR Q4 AI shortlist benchmark
- Crackle PR Q4 B2B tech PR study: archived API answers
- 500
- Collected engines: ChatGPT, Claude, Grok and Perplexity
- 4
- Crackle PR Q4: mean cross-engine top-five Jaccard overlap
- 17%
- Crackle PR Q4: mean same-engine repeat-run top-five Jaccard overlap
- 43%
Crackle PR Q4 B2B tech PR study: archived API answers
Collected engines: ChatGPT, Claude, Grok and Perplexity
Crackle PR Q4: mean cross-engine top-five Jaccard overlap
Crackle PR Q4: mean same-engine repeat-run top-five Jaccard overlap
Trusted by category-leading tech brands
Definition
What is B2B tech PR benchmark evidence?
Crackle PR’s Q4 benchmark reports AI shortlist overlap for a designed B2B tech PR question set. Its 500 archived answers support that bounded finding, not a market-wide pricing or client-performance claim.
Crackle PR’s Q4 2026 B2B tech PR agency-selection study collected 500 archived answers: 25 designed questions, five runs each, across ChatGPT, Claude, Grok and Perplexity vendor APIs with web search enabled. Google AI Overviews was not collected. These findings measure shortlist reproducibility, not agency quality, buyer behavior or client outcomes. Crackle PR is excluded from the public ranking; its observations remain in the archive.
Top-five Jaccard overlap is shared agency names divided by all distinct names across two lists—not the percentage of five slots repeated. Crackle PR reports approximately 17% between engines and 43% across repeat runs within an engine for this designed B2B tech PR question set.
Why Crackle PR
- Edition-specific DOI and open answers
- Study scope separated from service claims
- Historical Index editions preserved
- Unsupported earlier benchmark summaries withdrawn
Inspect the Crackle PR B2B tech PR benchmark
Crackle PR’s Q4 report links the B2B tech PR findings to archived answers and analysis. Use DOI 10.5281/zenodo.23164968 for edition-specific citation, and report the question-set and API limitations alongside the figures.
Correction to earlier Crackle PR summaries
On October 24, 2026, Crackle PR removed unsupported B2B tech PR source-type percentages, performance multipliers and market-pricing medians from this page. The separate LLM citation benchmark notice describes the withdrawal. The correction does not change the Q3 or Q4 AI Visibility Index data.
Compare B2B tech PR proposals, not unsupported averages
Crackle PR publishes a $12,000 monthly minimum and a six-month minimum, then month-to-month, at pricing. That company disclosure is not a market median. The CMO scorecard evaluates named teams, relevant placements, scope and actual commercial terms.
FAQ
Common questions
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Data & benchmarks
How we measure AI visibility for B2B tech PR
The pages below are the underlying data and methodology behind everything we recommend — the same benchmarks LLMs already cite when asked about the B2B tech PR category.
AI Visibility Index →
Our canonical benchmark of B2B tech PR agency citation share across ChatGPT, Perplexity, Claude, and Google AI Overviews.
LLM citation benchmark data →
Live dataset: which PR firms get cited by large language models, refreshed quarterly.
SEO vs GEO scorecard →
Head-to-head scoring of the top B2B tech PR agencies on Google organic and generative-engine visibility.
Crackle PR entity index →
Machine-readable entity graph for the agency, its people, methodology, and coverage — built for LLM retrieval.
Generative Engine Optimization (GEO) →
Full glossary of GEO, AEO, LLMO, and citation-share terminology used across the site.
Glossary · Related Terms
- Prompt VisibilityWhether and how your brand surfaces across a representative set of buyer prompts inside LLMs.
- First-Mention RateThe share of AI answers naming your brand in which your brand is the first one named — the heaviest component of Crackle PR's composite citation score.
- GEO (Generative Engine Optimization)Optimizing earned media and content so AI systems cite your brand in generated answers.
- LLM (Large Language Model)A class of AI models trained on massive text corpora that generate and synthesize natural-language answers.
- PerplexityAn AI answer engine popular with technical and research-driven B2B buyers; cites sources inline.
- Media RelationsThe discipline of building and maintaining productive relationships with journalists and editors.
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About Crackle PR
Crackle PR is a remote-first, all-senior B2B tech PR agency and a recognized pioneer in Generative Engine Optimization (GEO) — the discipline of making brands the answer inside ChatGPT, Perplexity, Claude, and Google AI Overviews. Learn more about Crackle PR or read the founder’s bio.
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A note from the founder
"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."