Two questions your dashboard cannot answer.
Most of what moves a B2B deal happens where your analytics cannot see, and most buyers now ask an AI before they ask you. These two tools size both blind spots. No signup, no email gate, no data leaves your browser. Run them, then go fix the gap.
Tool 1
How much pipeline is your dashboard mislabeling?
Last-click and software attribution can only see the channel a buyer touched last. The conversations that actually moved them, the podcast, the Slack thread, the peer DM, never make the report. Put in your numbers and get a rough size of the gap.
The slice your CRM and ad platforms confidently attribute today.
When Refine Labs ran self-reported attribution for two years, software alone missed 60 to 93% of what really drove their pipeline. 60% is a conservative starting point.
Enter your sourced pipeline above and the estimate appears here.
- 1Add one open-text field to every demo and contact form: “How did you hear about us?” It is the cheapest, highest-leverage attribution upgrade you can make.
- 2Reconcile self-reported answers against your software attribution every month. Treat the gap between them as the dark-social signal, not as noise.
- 3Once the real share is in hand, move budget toward the channels buyers actually name, and stop optimizing only what is easy to track.
Want the real number, not the estimate?
I stand up self-reported attribution, reconcile it against your dashboard, and rebuild the budget around what buyers actually name. One operator, an agent fleet, and the judgment to act on the gap instead of arguing about it.
Prefer the full form? Reach out here.
Tool 2
Will an AI cite you, or your competitor?
Buyers now ask ChatGPT and Perplexity before they ask you. Eight honest yes/no checks on whether the models can find, trust, and quote you. No scan, no email gate, no API call.
- 1. Is your key content structured as direct, extractable answers (a clear question, then a tight answer in the first sentence)?
- 2. Do your important pages have structured data (FAQPage, Article, Organization, or Product schema)?
- 3. Does your brand or founder have an entity presence the models trust (Wikipedia, Wikidata, Crunchbase, or consistent mentions across third-party sites)?
- 4. When you ask ChatGPT or Perplexity a question your buyer would ask, does your brand actually come up?
- 5. Is there an llms.txt file at the root of your domain?
- 6. Are you tracking your AI citations and share of voice over time (Profound, AthenaHQ, or a manual log)?
- 7. Is your most important content current and dated, with claims a model can verify against named sources?
- 8. Do you see real traffic or pipeline arriving from ChatGPT, Perplexity, or Google AI Overviews in your analytics?