# Agent Search Optimization

> Agent Search Optimization (ASO) consultancy operated by track by track GmbH in Berlin, Germany. We help organizations make their websites and brand information discoverable, evaluable and safely actionable for AI agents.

Canonical URL: https://agentsearchoptimization.de/
Language: German (de-DE)
Last reviewed: 2026-07-14

## Core resources

- Agency and services: https://agentsearchoptimization.de/
- Agent Search Optimization Guide 2026: https://agentsearchoptimization.de/agent-search-optimization-guide
- Guide topics: Google-Agent, agentic search, ASO signals, technical readiness, evidence architecture, WebMCP, security, measurement and a 30-day implementation plan.

## Primary services

- Agent Readiness Audit: crawler access, server logs, CDN/WAF rules, semantic HTML and task completion tests.
- Entity and evidence architecture: clear facts, source quality, structured data and consistent brand signals.
- Agent-ready UX: accessible forms, deterministic states, explicit constraints and safe confirmations.
- WebMCP readiness: experimental progressive enhancement, security review and evaluation.
- GEO/AEO content systems: answer-first content, citations, expert authorship and measurement.
- Monitoring: verified crawler logs, citation panels, agent task tests and business outcomes.

## Important distinctions

- Google states that no special optimization is required for Google Search AI Overviews or AI Mode; established SEO fundamentals remain relevant.
- Google-Agent is a user-triggered agent and is different from Googlebot.
- WebMCP is currently a W3C Community Group draft, not a W3C Standard.
- llms.txt is offered here as a voluntary navigation aid for compatible systems, not as a Google ranking requirement.

## Contact

Website: https://agentsearchoptimization.de/#kontakt
Email: hi@geo-tool.com
Phone: +49 30 21923869
Operator: track by track GmbH, Schliemannstraße 23, 10437 Berlin, Germany

## Legal

- https://agentsearchoptimization.de/impressum
- https://agentsearchoptimization.de/datenschutz

## Selected primary sources

- Google user-triggered fetchers: https://developers.google.com/crawling/docs/crawlers-fetchers/google-user-triggered-fetchers
- Google AI features guidance: https://developers.google.com/search/docs/appearance/ai-features
- WebMCP draft: https://webmachinelearning.github.io/webmcp/
- GEO research (KDD 2024): https://doi.org/10.1145/3637528.3671900