Last year, 2.5% of Writesonic’s leads came from AI search. As of March, that number hits 35%. Samanyou Garg, Founder and CEO of Writesonic, broke down the engine behind this shift in his Search Engine Journal webinar: AI agents now surface what moves across every search platform—and practitioners must prioritize, then act. “AI search didn’t necessarily kill SEO, but it turned it into an engineering problem,” he said. The session covers fresh citation research and five lessons from the field, including the six-stage loop his team runs on every published page and the workflow that earns citations on pages you don’t own.

Lesson 1: AI Agents Work in Parallel—So Should You

Garg’s team runs multiple agents simultaneously across Google, Bing, and emerging AI answer engines. Each agent tracks citations, mentions, and ranking shifts. The insight? A single page can generate leads from five different query types if you design for intent clusters, not just keywords.

Lesson 2: Every Page Needs a 6-Stage Loop

The loop: research, structure, draft, validate with AI data, publish, and monitor citations. After publishing, the team runs agents weekly to detect where their content appears on competitor or aggregator sites. If a citation is missing, they tweak the page or outreach strategy. This turns SEO into a continuous engineering cycle.

Lesson 3: Citations on Pages You Don’t Own Are the New Conversion

Garg showed a workflow that wins citations on third-party sites. His agents identify top-ranking pages for a topic, extract missing stats, and trigger automated outreach with a pre-written value bomb. For a Cyprus-based business, this means targeting local directories (e.g., Cyprus Business Directory) and multilingual review sites in EN, RU, and EL to build trust without owning the platform.

Lesson 4: GDPR and Cost Are Part of the Engineering Problem

For EU and Cyprus businesses, running AI agents means GDPR compliance on data collection. Garg recommended anonymizing user signals and storing them in-region (e.g., via Cyprus-based hosting). Budget-wise, expect $200–$600/month for small-scale agent setups (API calls + hosting), scaling with the number of pages tracked. For a small e-commerce store, that’s often cheaper than hiring an extra SEO specialist.

Lesson 5: Multilingual or Nonexistent

Garg’s agents run in 10+ languages. For businesses serving Cyprus, agents should monitor English, Russian, and Greek queries separately. A local example: a Limassol real estate site saw 40% more leads after agents flagged that Greek-language queries had zero top-10 results with modern pricing—an easy gap to fill.

Watch the full webinar for the exact agent setup and citation workflow Garg uses. The post SEO Study: 5 Lessons From Running AI Agents Across Every Search appeared first on Search Engine Journal.