What should I cite from this research archive?

Cite the two research pages when you need first-party synthesis on what AI systems cite, how visibility cases behave, and why source surface, answer structure, and weekly measurement matter.

Is this archive only about SEO?

No. It connects SEO with AEO, GEO, AI Search visibility, citation behavior, retrieval-ready content, and the practical systems that help brands become trusted sources for AI answers.

Where should a founder start?

Start with the citation audit, then read the case-study synthesis, and then move to the writing archive for operating notes on measurement, ContentOS, and marketing agents.

Pinned · Start here · AI Search visibility

Marketing agents for the AI Search era.

One page to bookmark. Use this as the entry point, then branch into research, notes, and templates. (This page exists so X shows one clean preview image for one canonical URL.)

Cite

What to cite from this site.

Research

What AI systems cite

Cite this page when you need first‑party evidence about citation patterns, source surfaces, and why structure + references matter.

Cases

AI visibility case studies

Cite this page when you need named patterns across industries and a practical view of what compounds.

Systems

MCP stack token economy

Cite this page when you need measured evidence about local-first MCP prep layers, token reduction, and AI coding agent cost control.

Templates

Notes & templates

Use this index when you need how‑to guidance: page structure for citation, measurement, and weekly shipping loops.

Start

The 3 pages to read first (then go deeper).

Research

Evidence about what AI systems cite

Start with the research index, then open the two flagship pages (citation patterns + case studies).

Writing

Notes, templates, and playbooks

How to structure pages for citation, how to measure visibility, and what to ship weekly.

Loop

AI visibility measurement

A practical weekly checklist: stable query set → citations + context → iteration.

Quick loop

A simple workflow that compounds.

Pick one buyer-critical query

Choose one question you want to own. Publish one canonical page for it.

Make it citable

Answer-first structure, visible sources, and a small “What to cite” summary.

Measure weekly

Run a fixed prompt set and log citations + context. Keep the log honest and repeat.

Contact

Want help implementing this?

g@humanswith.ai

If you run a small team and want AEO/GEO + AI visibility to become a repeatable system, email me.

FAQ

Common questions.

Does GEO replace SEO?

No. SEO is still the plumbing. GEO is about becoming a retrievable, trusted source inside AI answers.

Should I publish everywhere?

No. Start with one canonical page, then distribute to one trust surface that links back.

Where should I start if I’m new?

Start with the research archive, then move to the writing hub for templates and weekly operating notes.

Bench

Typography benchmark strings

Open benchmark lines (RU/EN + symbols)

Claude Code уже делает задачи

Get cited by AI

Golden benchmark: diff and uplift

1,2 млн ₽ + НДС 5%

CLAUDE CODE ДЛЯ РОСТА ПРОДУКТИВНОСТИ · 2 ДНЯ × 4 ЧАСА