Carolyn Shelby

Join Carolyn Shelby for an advanced, hands-on training workshop on how to structure, strengthen, and technically prepare content for retrieval, citation, and recommendation across AI search platforms and agent-driven experiences.

Online October 6, 2026 | 11:00am - 3:30pm ET | $299

• How AI search systems and agents retrieve, interpret, and select content differently from traditional search engines.

• How to structure pages, headings, paragraphs, lists, and key information so content is easier to extract and cite.

• How authority, relevance, technical accessibility, and entity signals influence whether content is selected for AI-generated answers.

• How to identify and fix common barriers, including buried answers, fragmented content, JavaScript-dependent information, weak internal linking, and unclear page structure.

• How to audit and optimize existing content for visibility, citation, recommendation, and action across AI search and agent-driven experiences.

This Master Class is designed for experienced SEO professionals, content marketers, editors, digital strategists, and marketing leaders responsible for organic visibility and content performance.

It will be especially useful for in-house and agency teams that already understand traditional SEO fundamentals and need a practical framework for adapting content strategies to AI search and agent-driven experiences.

To get the most out of this workshop, please read the following before attending:

• Relevance is the new ranking signal: How AI search redefines optimization. Introduces the shift from traditional rankings to retrieval, representation, and prompt-language alignment. This provides the core conceptual foundation for the workshop.
• If SEO is rocket science, AI SEO is astrophysics. Explains how entity authority, citations, extractability, and broader brand signals influence whether content is selected and represented in AI-generated answers.
• Why zero-click search doesn’t mean zero influence. Reframes visibility and business impact in a search environment where users may receive answers without clicking, while reinforcing the continuing importance of first-party content and authority.
• Gating in an AI world: What to hide, what to show, and why (optional). Provides a practical application of AI visibility principles by showing how gating, paywalls, hidden content, and incomplete public information can prevent content from being retrieved or cited.
• Does schema still matter in AI search? (optional). Offers useful background on the role of structured data, relevance, authority, credibility, and content clarity in AI-driven search.

Please also complete this practical assignment:

Select one page from your website that you believe should appear in AI-generated answers. Identify the primary question it answers and note where that answer appears on the page. Then review the page with JavaScript disabled or in a text-only view and determine whether the answer, author information, supporting evidence, and important product or service details remain visible.

Here’s a look at what you’ll cover when. If you can't attend live, on-demand access is included for free. (Exact times are subject to change.)

11:00am - 12:30pm ET | How AI search and agents find, interpret, and select content

Understand how AI retrieval differs from traditional search ranking, how content is chunked and selected, and why authority, relevance, extractability, and technical accessibility determine whether a source is considered.

12:30pm - 12:45pm ET | Break

12:45pm - 2:15pm ET | Structuring and strengthening content for AI visibility

Learn how to optimize headings, paragraphs, lists, terminology, internal links, page architecture, and visible HTML so content is easier for AI systems to retrieve, understand, cite, recommend, and use.

2:15pm - 2:30pm ET | Break

2:30pm - 3:30 pm ET | Auditing, prioritizing, and applying the strategy

Use a practical framework to identify retrieval barriers, evaluate existing content, prioritize improvements, and build an actionable plan for increasing visibility across AI search platforms and agent-driven experiences.

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