Marketing Budget Protection

Never Waste Paid Ad Traffic Again (Zero Lost Leads)

A single click in Google Ads or LinkedIn Ads often costs $10 to $50. If a prospect submits an inquiry after hours at 7:00 PM and waits until 9:00 AM for a reply, they've already moved on to a competitor. That ad spend is gone.

💡 The Sales Effect: The RAG agent responds in sub-second latency, queries live company data, qualifies the prospect, and books the sales call straight into the calendar — around the clock.

Fast Data Vectorization

Turn Any Client Data Source Into Instant Knowledge

With Google Agent Development Kit (ADK), long integration projects are unnecessary. Knowledge sources connect directly:

  • Websites & Sitemaps: Automatic vector indexing of product pages, FAQs, and docs via Vertex AI Search.
  • PDF Documents & Catalogs: Technical spec sheets, user guides, and price lists indexed in minutes.
  • Databases & CRM: Real-time mapping to inventory data and FAQs.
Live Architecture & Production Stack

Google ADK & Cloud Run Infrastructure Teardown

The agent runs as an isolated microservice on Google Cloud Run in Frankfurt am Main:

  • Framework: Google Agent Development Kit (ADK) + Gemini 3.1 Flash.
  • Vector Engine: Vertex AI Search Data Store for live sitemap sync.
  • A2A Discovery (Agent SEO): Publicly discoverable via https://azhyshchev.de/.well-known/agent-card.json following the Linux Foundation / Google A2A protocol.
  • GDPR Compliance: 100% EU data locality without raw API keys in code (IAM ADC authentication).
Future of B2B Sales

Agent SEO (A2A Protocol): Making Your Services Discoverable to Foreign AI Agents

Beyond human SEO, Agent SEO (Agent-to-Agent Discovery) is becoming essential. B2B buyers rarely search Google manually — they deploy autonomous AI agents to scan the market and vet vendors.

To let agents communicate across frameworks (Google ADK, LangChain, AutoGen) and LLMs (Gemini, GPT-4, Claude), Google created the A2A Protocol and transferred its governance to the Linux Foundation.

How A2A Discovery Works in Practice:

  • 1. Digital Agent Passport: The server hosts a manifest at /.well-known/agent-card.json listing advertised skills (B2B Process Automation, DATEV Invoice Pipelines, GCP Architecture), endpoints, and languages.
  • 2. Registry Indexing: The manifest is listed in registries like Google Cloud Agent Registry and a2a-registry.org.
  • 3. Autonomous B2B Inquiry: When an external agent searches for automation expertise, it reads the agent card, verifies capabilities, and sends a REST request to Cloud Run in milliseconds.

The Result: The AI Sales Assistant answers using indexed domain knowledge, qualifies the lead, stores the record in Cloud Firestore, and sends an instant Telegram alert to the sales team.

Engineering Deep Dive

BANT Qualification Logic & Real-Time CRM Pipeline

Structured intent classification over chit-chat: Generic AI chatbots engage in endless conversational loops without capturing critical business intent. In this architecture, the conversational flow is governed by a state machine that systematically verifies BANT criteria (Budget, Authority, Need, Timeline). If a prospective client mentions requiring invoice automation, the agent asks targeted follow-ups: monthly invoice volume, accounting software in use (DATEV, Lexware, QuickBooks), and implementation timeline.

Zero hallucination guardrails & data persistence: Before presenting pricing models or engineering scopes, the agent verifies statements against ground-truth documentation in Vertex AI Search. Unverifiable claims are strictly suppressed. Once a prospect shares contact information, a background task parses the dialogue into a structured JSON schema, validates email syntax, commits the lead record to Google Cloud Firestore, and dispatches a prioritized notification via Telegram Bot API with one-click CRM import links.

FAQ

Frequently Asked Questions: RAG Sales Agents

How fast does the RAG sales agent respond to website visitors?
Deployed as a containerized FastAPI service on Google Cloud Run in Frankfurt, the agent delivers sub-second response times (p95 under 850ms) using streaming HTTP responses and optimized vector retrieval.
How does the agent prevent hallucinations on pricing and capabilities?
The system enforces deterministic Tool Choice modes and strict Pydantic argument validation. Hard facts are injected directly from verified company data sources, and system prompts explicitly prohibit fabricating pricing tiers or unsupported features.
Which CRM platforms can integrate with the lead capture pipeline?
Captured lead records export seamlessly into HubSpot, Salesforce, Pipedrive, or custom internal PostgreSQL databases via automated REST webhooks and cloud event triggers.
How are customer privacy and GDPR compliance handled?
All infrastructure operates within the EU (Google Cloud Frankfurt region). User chat histories are processed in compliance with GDPR standards, personal details are scrubbed via Data Loss Prevention (DLP) filters, and zero data is used for third-party LLM model training.
Stop Leaking High-Intent B2B Leads Today!

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