72% of B2B Software Buyers Use ChatGPT to Evaluate Vendors — And Half of Brands Are Invisible
Founder & CEO, Crackle PR
In July 2026, MarketScale published a report with a number that should reset every B2B software marketing plan for H2: 72% of B2B software buyers now use ChatGPT to evaluate vendors, and roughly 51% of the brands they consider have zero citations in the LLM's answers.
Translate that into a shortlist meeting: three of four buyers open ChatGPT before they open a Gartner Magic Quadrant. And one out of every two brands they ask about is not in the answer at all — not "ranked lower," not "mentioned briefly." Not there.
“Invisibility in ChatGPT is not a ranking problem. It is a citation problem. And you cannot fix a citation problem with a better website.”
Why 51% of brands are invisible
ChatGPT, Perplexity, Claude, Gemini, and Google AI Overviews do not rank web pages. They retrieve from a training corpus and a live grounding layer that heavily weights third-party authority — press coverage, analyst reports, structured data, and entity graphs like Wikidata and Crunchbase. Brand websites are almost never the primary source.
Most B2B software PR programs still measure clips and impressions. Those metrics tell you a story was published. They do not tell you whether the story lives in a source LLMs retrieve from, whether the brand is resolved as a distinct entity, or whether the coverage is recent enough to survive the freshness weighting that ChatGPT Search and AI Overviews now apply.
What "showing up" actually requires
Being cited by ChatGPT in a vendor evaluation prompt is a compound signal. It requires:
- Entity resolution. The brand must exist as a distinct, disambiguated entity across Wikidata, Crunchbase, LinkedIn, and schema.org — otherwise the LLM cannot map the query to your company at all.
- Tier-1 and vertical press density. Coverage in the outlets LLMs already trust — Forbes, TechCrunch, WSJ, Axios, Fortune, and the vertical trade publications for your category — is the raw material of citations.
- Structured data and speakable schema. On-page markup that makes quotable claims easy for retrieval systems to extract.
- Freshness. Pages older than ~18 months with no meaningful update get cited significantly less. Quarterly refreshes are now table stakes.
- Measurement. You cannot manage what you do not measure. Track LLM citation share on the prompts your buyers actually type — not just Google rankings.
What Crackle PR is doing about it
Crackle PR runs a dedicated AI Visibility Practice that treats earned media as citation infrastructure for generative AI engines. Every engagement covers entity resolution, tier-1 media relations, GEO-native structured data, and monthly LLM citation tracking through our AI Visibility Index. For a deeper walkthrough of the underlying mechanics, see our guide to GEO & LLM optimization in PR.
“If 72% of your buyers are asking ChatGPT and half your category is invisible, the fastest way to grow pipeline is to become the answer.”
The takeaway for B2B tech CMOs
The MarketScale number is not a curiosity — it is a re-baseline. If most of your buyers are shortlisting through ChatGPT and half of the vendors they consider are invisible, the winning move is not more clips. It is a citation program: earned coverage designed to feed the retrieval layer, entity work that makes the brand legible to LLMs, and measurement that tells you whether it is working.
If you want to see where your brand sits on that curve today, talk to Crackle PR.
Founder & CEO, Crackle PR · Full bio
Parry Headrick is the founder and CEO of Crackle PR, a fully remote, senior-led B2B tech PR agency. With 20+ years in tech communications, he has counseled hundreds of VC-backed startups and growth-stage companies on media strategy, analyst relations, and AI-era brand positioning.
Glossary · Related Terms
- LLM Citation RateThe percentage of LLM-generated answers about a defined query set that cite your brand as a source.
- Share of ModelYour brand's share of citations within a competitive set across LLM-generated answers — the AI-era equivalent of share of voice.
- Citation ShareThe percentage of AI-generated answers in your category that cite your brand as a source — the replacement metric for share of voice.
- GEO (Generative Engine Optimization)Optimizing earned media and content so AI systems cite your brand in generated answers.
- PerplexityAn AI answer engine popular with technical and research-driven B2B buyers; cites sources inline.
- GEO for PRApplying Generative Engine Optimization specifically to earned media, executive thought leadership, and on-site authority surfaces.
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