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The AEO Field Library

25 ways to make AI visibility less vague.

Free, research-backed templates for the work behind durable AI visibility: measurement, access, entity facts, decision content, original evidence, and operations.

25

complete field assets

  • ✓ Copyable working artifact
  • ✓ Quality and validation checks
  • ✓ Official primary sources
  • ✓ Limits and no-guarantee notes

Built for outcomes

Tie each action to a buyer decision, factual risk, access blocker, or evidence gap.

Built for scrutiny

Every asset includes primary sources, validation checks, and an explicit limitation.

No magic files

Schema and crawler access have real jobs. Neither one guarantees an AI recommendation.

01

Measure visibility

Build the prompt set, baseline, recommendation tracker, citation analysis, and referral view needed to see what changes.

02

Control access

Set intentional crawler policies and verify that important facts survive robots rules, CDNs, and JavaScript rendering.

03

Clarify entities

Reconcile the facts behind organizations, products, locations, datasets, and every dependent public source.

04

Build answer-ready pages

Create decision pages that lead with a useful answer, support it with evidence, and make limitations visible.

05

Operate and earn citations

Turn research, corrections, freshness, outreach, and measurement into a repeatable operating rhythm.

Templates tell you what to do

Ron shows where to start.

Run a focused audit across real buyer questions. See where you appear, what competitors own, which sources get cited, and which fixes deserve attention first.

Run my audit →

$39

One audit. No subscription.

The field library stays free. The audit is the shortcut when you want the research applied to your category and site.