ChatGPT, Claude, Gemini and Perplexity can leave you off the shortlist, misstate your offer or invent a limitation. Sales may never know the opportunity existed.
The AI Shortlist & Buying Truth Sprint finds the specific failure, checks it against your public sources and gives you three fixes ready to publish.
A buyer asks for the best fit. Your company is missing, even though your offer matches the use case.
The answer invents a price, trial or contract condition. The buyer evaluates an offer you never made.
A documented integration or capability is denied. A strength can appear as a reason to rule you out.
Between 25 and 40 approved facts, each tied to evidence, a source and a date.
The exact answers, where the systems disagree and the public source needed to resolve each failure.
Priority changes drafted for pricing, your offer, documentation or your own comparison pages.
Gemini left nOps off all three unbranded shortlists I tested. Claude denied a documented MCP in two of three answers.
nOps
Shortlist · Capability
Perplexity got Finout's pricing or trial wrong in all three verified answers.
Finout
Pricing · Trial
CloudZero fared better. Yet agents still gave unsupported answers about pricing and trials when public sources left gaps.
CloudZero
Evidence · Inferences
Tests of public surfaces. These companies were not clients. These are dated observations, not universal frequency estimates or proof of revenue impact.
I agree one buyer, one decision and 25 to 40 facts that must be true.
I run 12 to 16 buying questions across ChatGPT, Claude, Gemini and Perplexity.
I check each critical finding against primary sources and repeat the test.
You get three fixes ready to publish, a 60-minute readout and one retest after 30 days.
Every finding keeps the buying question, the full answer, the system, the date and the primary source needed to correct it.
For one B2B company and one specific buyer profile.
Enough time to repeat critical failures instead of turning one screenshot into a conclusion.
Files your team can publish and maintain, not a score it has to interpret.
I do the work from start to finish
I have spent more than twenty years selling SaaS to SMB, mid-market and enterprise customers. I have seen the small factual doubt that can stall a serious buying process.
AI can now make the first comparison before sales is involved. I check whether those answers would survive a real buying conversation.
Your domain and the decision are enough to start. If the public evidence does not show a material risk, I will tell you. I do not sell the same audit to every company.