Accuracy and Editorial Standards

Last updated: July 2, 2026

Everything published on MarcusSheridan.com is reviewed for accuracy before it goes live.

We take this seriously because our reputation depends on trust. And trust starts with telling the truth.

Our Commitment to Accurate Content

When we talk about AI, sales, marketing, pricing transparency, leadership, communication, or trust, we do so based on real-world experience, client work, research, and firsthand observations from the field.

When Marcus shares examples from businesses, keynote audiences, workshops, or consulting engagements, those examples come from real situations.

When we reference changes in Google, AI tools, buyer behavior, or consumer trends, we rely on a combination of firsthand testing, client data, trusted research, and industry experience.

We do not exaggerate results.

We do not guarantee specific business outcomes.

We do not present opinions as facts.

We do not use misleading statistics, fake urgency, or inflated claims.

We do not recommend strategies Marcus would not use himself.

Our goal is simple: honest content that helps people make better decisions.

Who Reviews Content Before Publishing

All website content, blog posts, keynote pages, videos, newsletters, downloadable resources, and educational articles are reviewed before publication.

Marcus Sheridan handles all final content review.

Marcus is a keynote speaker, author of books including They Ask, You Answer and Endless Customers, and a trusted voice on sales, marketing, AI, pricing transparency, and leadership communication.

He reviews content to make sure it is factual, clear, practical, and aligned with what audiences and buyers actually want to know.

For topics related to AI, search behavior, consumer trust, pricing transparency, and sales, Marcus also relies on ongoing testing, audience polling, business case studies, and direct work with companies across industries.

When outside experts contribute to content, we identify them clearly and review their input for accuracy before publishing.

How We Handle Claims and Examples

If we share statistics, trends, or examples, we aim to provide context.

That may include where the information came from, what industry it applies to, or what assumptions are behind it.

When we reference speaking clients, workshop outcomes, or business case studies, we only use examples we can stand behind.

Some results may vary depending on industry, team size, market conditions, and execution.

We believe people deserve the full picture, not just the highlight reel.

How We Update Content

AI, search, sales, and buyer behavior are changing quickly.

Because of that, we regularly review and update older content.

This includes:

  • AI-related articles and predictions
  • Search and Google-related guidance
  • Pricing transparency examples
  • Speaking topics and keynote descriptions
  • Sales and communication frameworks
  • Statistics, screenshots, and platform references

If a page becomes outdated, we update it, add context, or remove it.

Major cornerstone pages are reviewed multiple times each year.

Our Sources

When we reference industry trends, research, statistics, or platform changes, we rely on trusted sources including:

  • Google
  • OpenAI
  • Anthropic
  • Gartner
  • HubSpot
  • Salesforce
  • Pew Research
  • McKinsey
  • First-party audience polling and event feedback
  • Real client data and case studies

When we discuss AI visibility, pricing transparency, or what buyers want, we also rely heavily on firsthand testing and direct experience working with businesses.

Sponsored Content and Partnerships

If we ever feature a partner, sponsor, affiliate relationship, or paid collaboration, we will disclose it clearly.

We will never present paid content as an independent recommendation.

If Marcus recommends a tool, strategy, business, or platform, it is because he believes it has value, not because someone paid him to say it.

Found an Error? Tell Us.

If you see something on this website that seems inaccurate, outdated, or misleading, we want to know.

Reach out through the contact page and tell us what you found.

We will review it and make corrections if needed.