ECINDEX ACADEMY · OPEN PLAYBOOK v0.1

Use AI to build
a better store.

Practical, evidence-led guidance for building storefronts that people, search engines and AI systems can understand and trust.

What this playbook is.

A practical operating guide for owners, managers, developers and advisers. It is not a guarantee of ECIndex ranking, search visibility, AI citation or commercial results.

01 · EVIDENCE MODEL

Keep facts and
suggestions separate.

A useful AI workflow tells the reader what was observed, what the merchant supplied, what the system inferred, and what still requires verification.

01

Observed evidence

Public signals captured by ECIndex or another reproducible inspection. Include the source and observation date.

02

Merchant facts

Policies, operations or commercial details supplied by an authorized representative. Label their provenance.

03

AI recommendations

Proposed actions based on available evidence. Treat them as hypotheses until a qualified person reviews them.

04

Validation results

Checks completed after implementation, including what changed, who approved it and whether the intended outcome occurred.

02 · EIGHT PRACTICES

Where AI can
create practical value.

Start with a narrow operational problem, give the system reliable context, and require a measurable acceptance check.

PRODUCT DATA

Clean catalogue records

Standardize names, attributes, variants, units, identifiers and descriptions without changing factual product claims.

Product schema lesson →
DISCOVERY

Search and AI readiness

Create page-specific metadata, structured data and useful category language grounded in visible storefront content.

Metadata guidance →
CUSTOMER SERVICE

Assist, then escalate

Draft answers from approved policies, identify uncertainty, and route exceptions or sensitive cases to a person.

MERCHANDISING

Improve product presentation

Find missing attributes, inconsistent imagery and weak comparisons while preserving the merchant’s voice.

OPERATIONS

Summarize exceptions

Help teams classify delays, returns and stock discrepancies without exposing unnecessary customer data.

PERFORMANCE

Turn audits into action

Translate measured speed and usability findings into prioritized tickets with owners and acceptance checks.

Run SpeedAudit ↗
MARKETING

Draft responsibly

Create campaign variants from verified offers and brand rules. Never invent scarcity, testimonials or performance claims.

GOVERNANCE

Record human approval

Keep prompts, sources, outputs, approvals and material changes available for review.

03 · SAFE WORKFLOW

Inspect before
you generate.

01

Define the outcome

State the business problem, affected page or process, and the measure that would show improvement.

02

Collect bounded evidence

Use the current storefront, ECIndex profile, policies and approved product data. Avoid private customer or payment information.

03

Ask for diagnosis before content

Require the AI to identify gaps, uncertainty and priorities before it drafts a solution.

04

Review with a responsible owner

Check factual accuracy, legal or policy implications, platform constraints and brand fit.

05

Publish narrowly and validate

Release a controlled change, test the live result, and preserve a rollback path.

06

Measure and document

Compare the new observation with the baseline and record what worked, failed or remains uncertain.

04 · STARTING PROMPT

Ask for an evidence-led store review.

This prompt is deliberately structured to prevent an AI assistant from presenting assumptions as verified findings.

Review this storefront using the ECIndex evidence model.

Store URL: [URL]
Primary goal: [GOAL]
Approved context: [FACTS OR LINKS]

Separate your response into:
1. Observed public evidence
2. Merchant-supplied facts
3. Uncertainty and missing evidence
4. Prioritized recommendations
5. Human review required
6. Validation checks after publishing

Do not invent reviews, ratings, prices, availability,
certifications, policies, performance data or customer claims.
05 · NON-NEGOTIABLES

Protect trust
while moving faster.

Never fabricate

No invented ratings, testimonials, certificates, prices, stock, delivery promises or product properties.

Minimize personal data

Do not place customer, order, payment or credential information into general-purpose AI tools.

Disclose material generation

Use clear internal records and public disclosure where AI materially shapes content or decisions.

Keep human accountability

A named person owns approval, publishing, monitoring and rollback.

Respect platform policies

Validate recommendations against current provider, advertising and search requirements.

Do not promise rank

Improvements may strengthen observable readiness; they do not purchase or guarantee an ECIndex position.

06 · PORTABLE AI SKILL

Apply the same standard
inside an AI workspace.

The ECIndex Store Improvement Skill packages the evidence model, safety boundaries and output structure for compatible AI assistants. It does not connect to private store systems or authorize changes.