PRACTICAL SYSTEM

How to improve your chances of being recommended by ChatGPT

Recommendation work is a repeatable evidence loop, not an “LLMs hack.”

Buyer question → evidence → observation → website outcome
  1. 1Define
  2. 2Baseline
  3. 3Diagnose
  4. 4Build
  5. 5Extract
  6. 6Re-test
  7. 7Learn

01 / SEVEN STEPS

Run the operating loop in order.

  1. Define the buyer-question set.Cover category, alternatives, implementation, pricing, use case, risk, integrations and ROI; keep controlled paraphrases instead of one page per wording.
  2. Baseline observations.Save prompt, model, date, answer, recommendations and citations; repeat to see variation.
  3. Diagnose missing evidence.Check entity clarity, product facts, comparisons, proof, third-party sources and technical access.
  4. Build high-value assets.Use commercial, use-case, comparison, docs, pricing, integration, original-data and legitimate-mention assets.
  5. Make facts extractable.Use direct definitions, tables, numbers, dates, procedures and source attribution with genuine update dates.
  6. Re-test the same questions.Record source and context changes across controlled paraphrases and engines.
  7. Continue after the click.Match website experience to intent, capture actions and CRM outcomes, then improve the next cycle.

02 / EVIDENCE STACK

Use the asset that resolves the buyer's uncertainty.

Original dataImplementation docsComparison evidencePricing / product factsUse-case guide

Eli's loop is install once → observe → understand → act → measure → learn. It connects recommendation evidence to a relevant destination, rather than treating visibility as the finish line.

NEXT DECISION

Use the system where it matters.

SOURCES AND METHOD

Sources checked for this comparison.

These links support the external product and platform references on this page. Eli publishes this comparison; verify critical requirements directly with each provider.

CONNECT YOUR WEBSITE

Run your recommendation baseline

Start with a controlled buyer-question set and the evidence behind each observed answer.

Run the baseline