Research, briefs, drafts, checks, and reports move into prepared workflows.
The work becomes repeatable without pretending that judgment is automatic.
Founder of Humanswith.ai · AI Search · Agentic Workspace · SMB marketing agents
I build AI-native marketing infrastructure for the era where buyers ask AI and teams operate agents.
AI Search visibility is the demand side. Agentic Workspace is the production side: agents prepare the work, humans approve the judgment, and the system measures what changed.
This is my public notebook on AEO/GEO, AI Search, SMB growth, vibe coding, and the shift from human-only marketing operations to governed agent-assisted teams.
Short answer
What I do for AI Search visibility.
Summary: Answer engine optimization is the answer-readiness layer for pages that need to be cited by AI systems. Generative engine optimization is the visibility layer that helps a company appear in AI-generated recommendations. Together, AEO and GEO turn a website into a source AI systems can understand, trust, and reuse.
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Measure the answer layer
Track where AI systems mention the brand, which URLs they cite, and which competitor sources keep winning the answer.
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Build canonical source pages
Publish structured pages with definitions, evidence, FAQs, schema, sources, and internal links that AI systems can reuse.
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Distribute and recheck
Adapt the same source of record for Medium, LinkedIn, VC.ru, Habr, X, and other surfaces, then measure the next crawl cycle.
Operating model
The next marketing team is an agentic workspace.
People keep the decision rights, source discipline, and final editorial taste.
The workspace makes review explicit instead of hiding it inside chat history.
Every published asset loops back into visibility, crawl, citation, and conversion signals.
That is how AI Search work becomes an operating cadence, not a one-off content sprint.
13years in full-service marketing and founder-led growth systems.
2019founded the original growth marketing company.
2023moved, incorporated, and relaunched Humanswith.ai in Dubai.
2025full pivot toward AEO/GEO and AI-native marketing infrastructure.
Thesis
Search moved into AI answers. Marketing now needs an operating system.
Buyers ask AI systems before they click search results.
ChatGPT, Claude, Perplexity, Gemini, Copilot, and Google AI Overviews are becoming recommendation layers. The question is no longer only “do you rank?” but “are you a trusted source these systems cite?”
Marketers cannot manually manage every new channel.
SEO, AI Search, paid, CRM, reviews, email, social, analytics, partnerships, and content quality already exceed what a small team can coordinate through old agency workflows.
The next class of tools is marketing agents.
Agents will research, brief, publish, optimize, report, and coordinate execution with human oversight. For SMBs, this replaces a large slice of repetitive freelancer and contractor work.
