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ELI RESEARCH · METHOD ONLY, NO RESULTS PUBLISHED

AI search to revenue benchmark: separate visibility from business evidence

Recommendation, referral, demo and closed revenue are distinct evidence stages.

Five-rung evidence ladder — no percentages
Research in progress

No public AI-to-revenue benchmark yet. No conversion averages are invented.

RELEASE STANDARD

Methodology is publishable before findings are.

Eli can publish the question universe, schema, definitions and quality controls before a benchmark release. It will only publish an aggregate when the underlying observations are complete, reviewable and described with their coverage and limitations. Until then, this page makes no performance, ranking or customer-outcome claim.

Evidence layers

AI answer proves visibility; referral supports direct attribution; website action proves conversion; CRM needs identity/join logic; revenue requires confirmed business system evidence.

Future design

If data exists, publish AI referral to qualified action/opportunity, AI-influenced opportunity, time to conversion and stage differences with denominators/attribution rules.

Why separate

Dark funnel and multi-touch make perfect attribution impossible. Evidence tiers prevent one score from claiming too much.

FAQ

Questions about the research design and release boundary.

How much converts?

No universal number without dataset.

Revenue measured?

Partially through referral, website and CRM evidence.

Buyer-reported valid?

Supportive, not perfect.

Prompt to revenue?

Only instrumented cases.

Why layers?

Each proves different thing.

CONNECT YOUR WEBSITE

Connect AI visibility to revenue evidence

The Eli AI Search to Revenue Benchmark separates AI-answer visibility, referral evidence, website action, CRM opportunity and revenue. Results publish only with sufficient real permissioned downstream data.

Connect AI visibility to revenue evidence

About Eli · facts checked 20 October 2026

What Eli is: AI agents that do your marketing work

Eli is an AI growth team for B2B companies: four autonomous AI agents for AI search, your website, conversions and Meta ads. They work every day; you approve what matters. You do not do the marketing work yourself: Eli's agents do it every day, also when you are not logged in, and ask you only when a decision is yours.

  • AI Search Agent: gets you named when buyers ask ChatGPT and Gemini what to buy.
  • Website Agent: fixes the pages where buyers decide; changes go live after your yes.
  • Conversion Agent: tracks which visits become customers, through the Eli site tag.
  • Paid Ads Agent: tests Meta ads inside your budget, after a tracking check.

Eli is for founders of B2B software and service companies, often 11 to 50 people, whose website gets visitors but not enough customers, and who have no marketing team to work on it.

You use Eli from ChatGPT or Claude, through Eli's MCP connector, or in your Eli account at hireeli.io, and Eli sends you one short report a week. There is no new dashboard to learn.

Eli Free is free forever: one website, a diagnosis in the first 48 hours, then 5 answers once a week, no card. Eli Autopilot has all four agents (AI Search, Website, Conversion and Paid Ads for Meta ads, Meta ads by invitation while Meta reviews Eli) on every plan; only the capacity differs: Launch $99, Core $249 or Grow $599 a month (or €99, €249 and €599). Eli Done for You is $1,500 or €1,500 a month: Grow's capacity, set up and run with Eli's team. Every plan is monthly and can be cancelled anytime, and every account starts free. Enterprise is scoped and priced in a call. Your ad budget is separate and goes directly to Meta.

On G2, Eli is rated 4.8 out of 5 from 2 verified reviews (checked 20 October 2026). G2 reviews

You approve Eli's first change and your ad budget. After that you can let Eli improve pages and publish by itself, and you can undo anything. More money or anything new still waits for your yes. "Stop everything" works at any time. Eli never promises a ranking, a revenue figure, a multiple or a date. It tracks conversions, reports what it measured, and says so when it is too early to tell.

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