Observed AI answer
The exact completed provider response, buyer question, model, timestamp and returned source URLs. A missing or failed response is never replaced with an estimate.
Research and evidence standards
Every recommendation should lead back to evidence.
Eli uses AI-search observations to choose work, not to manufacture certainty. These standards define what Eli records, what it may infer and what must remain explicitly unproven.
The evidence hierarchy
Verified public work
A public URL that Eli can fetch after publication, with a receipt for the approved action and a comparable follow-up check.
Buyer-reported influence
A buyer says an AI assistant influenced the journey. This is useful attribution evidence, but it remains separate from verified revenue.
CRM-verified outcome
A consented lead, opportunity or closed outcome matched to the company record. This is the strongest commercial evidence in Eli's learning loop.
How Eli publishes research
A public result is useful only when another person can understand where it came from and what it does not prove.
- Sources
- Factual vendor, platform and policy claims should link to current primary sources. Eli's own measurements link to the published method and underlying release where available.
- Dates
- Research pages show a publication or review date when freshness materially affects the claim. A date changes only when the content or underlying data changes.
- Authorship
- Eli is identified as the organizational publisher. A named human reviewer is shown only when that person materially reviews the publication.
- Automation
- Agents may research, draft and prepare work. Approval, publication authority and third-party outreach remain governed by the workspace controls and the connected system.
- Comparisons
- Competitor pages separate current vendor claims from Eli's interpretation and tell buyers what to verify. Eli does not invent customer reviews or awards.
- Corrections
- Material factual errors should be corrected in the public page and its saved evidence. A failed read is shown as unavailable rather than replaced by a plausible value.
What Eli may optimize
- Priority among supported buyer questions
- Owned pages and approved website journeys
- Human-final outreach to relevant third-party sources
- The next experiment after comparable follow-up evidence
What Eli does not claim
- A guaranteed ranking or AI recommendation
- Causality from a before-and-after change alone
- A brand mention on a page that was not verified
- Revenue without a buyer report or CRM-confirmed outcome
Use the method
Inspect a real baseline.
The free checker exposes the observed question, answer, competing companies and returned sources before asking you to connect the ongoing system.
Standard version 1.0 · Published 9 August 2026 · Eli