72% of B2B software buyers now use ChatGPT to evaluate vendors, and most brands aren't showing up

Nearly three-quarters of B2B software buyers now consult ChatGPT at some point during vendor evaluation. That figure, from Forrester's 2026 B2B Buyer Journey report, would be notable on its own. What makes it operationally urgent is what Crackle PR's Q2 2026 AI Citation Benchmark found alongside it: 51% of B2B tech brands have zero citations across ChatGPT, Perplexity, and Gemini.

The math is stark. Buyers are querying AI tools; the majority of vendors are not in the answers. For marketing operations and demand-generation leaders, that is a coverage gap with a direct pipeline consequence.

AI search is now standard in the B2B buying process

Forrester's buyer research shows 44% of B2B tech buyers also use Perplexity specifically during vendor shortlisting. Bain's 2026 research puts the average at 17 AI search queries per buyer per week. These are not experimental behaviors. They are embedded in daily research workflows across buying committees that Gartner's 2026 B2B Buying Journey report puts at a median of 8.2 people.

Gartner's same research counts a median of 17 touchpoints before a B2B tech buyer contacts sales. Forrester finds 71% of buyers read a tier-1 article about a vendor before requesting a demo. AI search is increasingly one of the channels where those articles get surfaced, which means the link between PR coverage and pipeline is more direct than it was two years ago.

Earned media, not owned content, drives citations

The Crackle PR AI Citation Benchmark breaks down where ChatGPT pulls its B2B vendor citations from: 71% come from earned media placements, 29% from owned content. Press releases fare particularly poorly. Only 12% of Google AI Overview answers link to a press release, per the same benchmark. The publications most frequently cited by ChatGPT for B2B tech vendor questions are TechCrunch, Forbes, The Information, VentureBeat, and Business Insider.

Domain authority correlates with citation frequency at r = 0.62, according to Crackle PR's analysis, which means the quality tier of a placement matters, not just whether coverage exists. Crackle PR's benchmark also found that 34% of AI answers cite sources ranked below position 20 in Google search, so traditional SEO rank alone does not predict AI visibility.

There is also a timing factor to account for. Crackle PR measured a median lag of 68 days between an earned-media placement and its appearance as an LLM citation. Teams expecting immediate AI-search returns from a placement cycle will need to recalibrate their measurement windows.

Trust signals in AI-cited results outperform paid alternatives

Edelman's 2026 Trust Barometer found buyers are 3.4 times more likely to trust an AI-cited vendor than one they encounter through paid advertising. For procurement and vendor-selection teams, this has a direct implication for how supplier credibility gets assessed: an absence of earned media is increasingly visible in the AI answers their colleagues see during research.

Edelman-LinkedIn's 2026 B2B Thought Leadership study adds context on format. Sixty-three percent of B2B tech buyers say thought leadership directly influenced a purchase decision, while 38% cite podcasts as a discovery channel. Coverage strategies built around a single format, whether press release or blog, are underserving the range of inputs buyers actually consult.

PR budget and retainer benchmarks for 2026

For teams evaluating or renegotiating PR relationships, Crackle PR's 2026 Retainer Benchmark puts the median B2B tech PR retainer at $18,500 per month for Series B companies and $32,000 per month for enterprises above $100 million in ARR. The median annual contract value across AOR relationships is $222,000. Gartner's 2026 CMO Spend Survey found 41% of CMOs reported PR budget increases year over year, while the CMO Council puts average PR spend at 8.3% of total marketing budget.

Despite growing AI-search demand, only 27% of current retainers include a generative engine optimization (GEO) or AI-visibility line item, per Crackle PR's CMO Survey of 214 respondents. Only 11% of B2B tech PR agencies offer GEO reporting as a standard deliverable, per Crackle PR's Master Registry. That gap between buyer behavior and agency capability is widening.

Media placement benchmarks set the efficiency bar

Crackle PR's CPT1 Benchmark puts the median cost per tier-1 placement at $8,000, with a review threshold at $60,000 or above. A fully staffed B2B tech AOR earns a median of 2.3 tier-1 placements per month and lands coverage across a median of nine trade outlets per quarter. Muck Rack's 2026 State of PR report puts the pitch-to-placement ratio at one placement per 28 pitches, with an average journalist response rate of 9.2% on well-personalized outreach. Separately, Muck Rack's State of Journalism data finds 76% of tier-1 stories now require an original data point or research, raising the bar for what earns coverage.

What this means for your team

• Audit your AI citation footprint now: query your company name and key use cases across ChatGPT, Perplexity, and Gemini to establish a baseline before your next planning cycle. If you surface in fewer than three answers, your earned-media program has a measurable gap.
• Require GEO reporting in any new or renewed PR retainer: only 27% of current retainers include it. Make AI citation tracking a contractual deliverable and set a 90-day benchmark window, given the 68-day median lag from placement to LLM appearance.
• Prioritize high-domain-authority placements over volume: the r = 0.62 correlation between domain authority and citation frequency means a single TechCrunch or Forbes placement may yield more AI visibility than a dozen mid-tier trade hits.
• Evaluate your CPT1 rate before the next budget cycle: with a median of $8,000 and a danger threshold at $60,000, this benchmark gives procurement and marketing leaders a concrete efficiency metric to apply to current agency performance.