Keyword research has a new purpose: it allows local businesses to access AI results.
Why do some local businesses appear in AI recommendations while their higher-ranked competitors do not?
Why isn’t my local customer showing up in AI recommendations?
How can I make keyword research work for AI search results?
AI recommendations for local businesses are applied trust signal activityas consistent, keyword-rich engagement that on-page SEO alone does not generate.
How to turn keyword research into AI visibility and recommendations
During this on-demand session, Jeff Schwerdt, CEO of Reviewly.ai, shared a practical approach to deploying keyword research in AI local trust signals. He explained where the AI pulls keyword-rich signals of, how to create and place them correctly by signal type, and how to ensure this activity occurs consistently across each local business account.
Register above to watch the full session.
You will learn:
- How to identify the sources from which the AI extracts keyword-rich signals: reviews, replies and GBP activity, and how the placement of keywords in each of them influences the AI’s local recommendations.
- How to create keyword-based trust signals for a local customer from scratch: keyword selection, placement by signal type, and response cadence that tells the AI that a business is active and relevant.
- How to automate keyword trust signal activity across your entire customer list: How to set up review response automation, keyword refresh intervals, and GBP activity scheduling so that each customer account runs at a consistent weekly cadence.
Register above to watch the recording and give your existing local SEO process a direct line to the AI search results.
