Metehan Yeşilyurt

Join us for Google Discover training with Metehan Yeşilyurt to learn actionable techniques for earning Discover visibility, recovering lost traffic, and building an editorial workflow that consistently produces Discover-eligible content.

Available On-Demand Until June 25, 2027

• What Google Discover is: How it differs from Search, and why "ranking" thinking does not translate to a feed-based, interest-driven surface.

• The eligibility signals that matter most: E-E-A-T applied to Discover, topical authority, freshness, and the quality thresholds publishers keep tripping.

• How to set up the technical baseline correctly: Open Graph tags, og:image at 1200px wide, max-image-preview:large, canonical hygiene, and Article/NewsArticle structured data

• How Google Discover’s prediction engine influences which cards get shown to which users, and which parts of your card (headline, image, source) actually move that number.

• How to write Discover-friendly headlines and select Discover-friendly images without crossing into clickbait, and how to A/B test variants responsibly.

• A diagnostic workflow for Discover drops: render checks, eligibility checks, indexing checks, and editorial root-cause analysis, in the right order.

• A weekly editorial and technical Discover workflow your team can actually run, plus how to analyze Search Console. 

This Master Class is designed for publishers, news SEO leads, content editors, editorial product managers, and in-house technical SEOs at sites where Discover drives a meaningful share of traffic. 

It's most useful for teams that want a structured, repeatable approach rather than reacting to every drop with guesses. Comfort with HTML, meta tags, and Search Console is assumed. You do not need to be a developer.

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 - 12:15pm ET

Foundations: How Google Discover Actually Works. What Discover is and is not. How a feed-based, interest-driven surface differs from query-based Search. The role of interest matching, freshness, and quality. An introduction to pCTR as the model that estimates click probability, and a clear separation between what publishers can influence and what they cannot.

12:15pm - 12:30pm ET

Break

12:30pm - 1:45pm ET

Eligibility and Technical Baseline. E-E-A-T applied to Discover, content depth, author signals, and the editorial standards Google rewards. Walkthrough of Google News Publisher Center setup, Article and NewsArticle structured data, Open Graph tags, image requirements, mobile-first checks, and Core Web Vitals. By the end of this session you will have a checklist your dev and editorial teams can run on any page.

1:45pm - 2:00pm ET

Break

2:00pm - 3:15pm ET

Headlines, Images, and pCTR Optimization. The parts of a Discover card that drive impressions and clicks: title patterns, image selection and composition, source perception, and freshness cues. Why thumbnails and headlines are the highest-leverage levers in the system. How to design headline and image variants, how to test them, and how to read the results without fooling yourself. Includes side-by-side teardowns of high and low performing cards.

3:15pm - 3:30pm ET

Break

3:30pm - 4:45pm ET

Diagnostics, Recovery, and Workflow. A repeatable diagnostic sequence for Discover traffic drops: technical checks first, eligibility second, editorial third. How to read Search Console Discover reports without overinterpreting noise. A weekly Discover workflow your team can adopt covering planning, publishing, monitoring, and post-mortems. We close with open Q&A and live debugging on attendee sites.