Join Us For A Free Webinar

Please complete the reCAPTCHA challenge!

By clicking the "Register Now" button, I agree and accept the Content Agreement and Privacy Policy of Alpha Brand Media. Please check your inbox for our confirmation email.

Search Engine Journal uses the information you provide to contact you about our relevant content and promotions. Search Engine Journal will share the information you provide with our partner, GatherUp, who will use your information for similar purposes. You can unsubscribe from communications from Search Engine Journal at any time.

Webinar

Lead Local SEO: How To AI-Proof Your Rankings With Reviews

Wednesday, June 18 at 2 pm ET

Wondering how AI is rewriting the rules of local search visibility?

Not sure how to keep your clients on top of the map pack in 2025?

👈 In this upcoming webinar, you’ll get:

  • Current local SEO ranking signals.
  • Latest Google AI changes.
  • Ways to increase local SERP visibility.

These findings will help you AI-proof your modern SEO strategy for you and your clients.

Gain Your Strongest Local SEO Weapon Yet

With findings from analyzing over 15,000 businesses and 1,200 consumers, you’ll learn:

  • Ways to adapt your local strategy for AI-driven search and SGE map packs.
  • Tricks to spot technical review signals that influence SEO, for better or worse
  • Strategies to package these new strategies as a new local SEO offering.

Join Mél Attia, Sr. Marketing Manager at GatherUp, as she shows how consumer trust and AI updates are reshaping Local SEO, and how agencies can lead the way.

From AI Overviews to local SERP features, now is your chance to get expert, actionable insights you can bring to clients now to get ahead in 2025.

Don’t miss this webinar if you want to turn reviews into real SEO results in 2025.

🛑 Can’t make it live? Register anyway! We’ll send you the full recording to watch on your own time.

Speakers

Mel Attia

Mel Attia

Vice-President, Marketing, GatherUp

Host

Loren Baker

Loren Baker

Founder, Search Engine Journal