Improve real authorship, accountability, sourcing, first-hand proof, reputation and entity consistency without treating E-E-A-T as a score or shortcut.
editable Word prompt guide · No email gate · Practical instructions included
P09 includes 16 prompts for auditing and strengthening authors, reviewers, About and team pages, editorial methods, claims and sources, first-hand experience, original research, YMYL safeguards, reputation, review integrity, policies, entity consistency, structured data, digital PR and governance.
The structure keeps the task focused on audience value, available evidence and the next implementation decision.
Clarify who created, reviewed and maintains important content and why they are qualified.
Connect claims with sources, methods, first-hand experience and original evidence.
Add governance, review and safety controls where content can affect health, finance or wellbeing.
Review the real scope below, then download the editable source file without submitting an email address.
Strengthen real experience, expertise, accountability, evidence and third-party trust across the site.
Use this library when a site needs stronger authorship, sourcing, policies, first-hand proof, reputation or entity consistency. It includes extra care for YMYL topics and avoids treating E-E-A-T as a score, markup shortcut or guarantee of rankings.
Choose the narrowest prompt that matches the task. The document also includes a project input block, usage guidance, an official-guidance foundation and a universal quality gate.
Keep source data, assumptions, human decisions and final implementation evidence distinct throughout the workflow.
Prioritize pages where users need stronger evidence or accountability.
Review authorship, review workflows, sources, About content and support information.
Gather credentials, experience, methods, original data and third-party corroboration.
Update pages and accurate structured data to reflect the real organization.
Assign owners, review dates and escalation for sensitive content.
Verify every credential, role, testimonial, policy and structured-data fact; ensure visible content supports the markup and obtain qualified review for sensitive or regulated claims.
Request a free SEO audit for a prioritized view of the strongest opportunities, risks and next steps.
Yes. Rank & Revenue provides this editable Word prompt guide as a direct, no-email-gate download. You can edit it for your own business, client or internal SEO workflow.
The download includes 16 copy-ready prompts. The page above lists the exact workflow and fields or prompts so you can decide whether it fits the task before opening the file.
It is useful for publishers, professional-service firms, healthcare and finance teams, ecommerce brands, agencies and any site where trust materially affects user decisions.
Provide the real organization and people, credentials, editorial workflow, sources, policies, customer-support facts, reputation evidence, structured data and any legal or regulatory review requirements.
Begin with the trust audit, select the weakest system and gather real evidence before drafting. Use the governance red-team to prevent cosmetic or unsupported changes.
Yes. AI can organize supplied evidence and identify missing disclosures, but it must not invent credentials, experience, reviews, policies, citations or third-party reputation.
No. The resource improves structure and consistency, but it cannot verify private business facts, tool exports, legal risk or implementation quality by itself. A qualified reviewer should approve high-impact decisions.
Verify every credential, role, testimonial, policy and structured-data fact; ensure visible content supports the markup and obtain qualified review for sensitive or regulated claims.
Review trust systems quarterly and before sensitive publishing, organizational changes, major PR campaigns or updates to regulated content.
Use P08 Content Creation Prompts to apply verified expertise and evidence to priority pages, or P10 AI Visibility Prompts to check entity and citation consistency across AI discovery.
