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

A recent study reveals that 72% of B2B software buyers are utilizing ChatGPT to evaluate vendors. However, over half of technology brands have no references in AI-generated content, impacting their visibility. This trend highlights the growing importance of AI in the vendor evaluation process for businesses.

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

Key takeaways

01

72% of B2B software buyers use ChatGPT for vendor evaluations.

02

51% of technology brands have no AI citations, affecting their visibility.

03

AI plays a crucial role in modern vendor evaluation processes.

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.

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 places 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 makes the link between PR coverage and pipeline more direct than it was two years ago.

B2B buyer AI tool and media usage during vendor evaluation (2026)72Use ChatGPT duringevaluation44Use Perplexity duringshortlisting71Read tier-1 articlebefore demo84Research on LinkedInbefore demo
Forrester B2B Buyer Journey 2026 · © MarketScaleDownload chart

Earned media, not owned content, drives citations

Crackle PR's 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 include TechCrunch, Forbes, The Information, VentureBeat, and Business Insider. Domain authority correlates with citation frequency at r = 0.62, according to Crackle PR's analysis, meaning the quality tier of a placement matters, not just whether coverage exists.

Crackle PR 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: the benchmark 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.

The Edelman-LinkedIn 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 post, 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 agency-of-record relationships is $222,000.

B2B tech PR retainer benchmarks by company stage (2026)15000Top-25 agency monthly minimum18500Series B median retainer/month32000Enterprise (>$100M ARR) medianretainer/month
Crackle PR 2026 Retainer Benchmark · © MarketScaleDownload chart

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.

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 agency-of-record 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. Muck Rack's State of Journalism data also finds 76% of tier-1 stories now require an original data point or proprietary research, raising the bar for what earns coverage in the publications that AI tools cite most.

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. Fewer than three results signals a measurable earned-media 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 top-tier outlet placement may yield more AI visibility than a dozen mid-tier trade hits.
  • Evaluate your cost-per-tier-1 rate before the next budget cycle: with a median of $8,000 and a review threshold at $60,000, this benchmark gives procurement and marketing leaders a concrete efficiency metric to apply to current agency performance.

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The MarketScale Newsroom reports on the companies, technologies, and trends shaping 16 B2B industries. It turns primary sources and expert commentary into clear, useful coverage for the people doing the work.

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