AI-Powered
SEO Pipeline

CASE STUDY // AI & AUTOMATION

How Veritly automated content production, grading, and performance reporting for a leading developer platform using Model Context Protocol (MCP) servers and Claude to achieve 420% impression growth.

MoM Organic Growth+420%

Accelerating impressions from baseline search results to indexed keyword dominance.

May Impressions745

A baseline of 8 to 15 impressions per day through manually audited workflows.

June Impressions3,875

Accelerating to 115 - 309 impressions daily as optimized content got indexed.

The Problem

Our client, a leading B2B SaaS platform, needed to grow their organic search presence but faced a classic bottleneck: content production was slow, quality was inconsistent, and there was no reliable feedback loop connecting published articles to real-time search engine performance.

No AI grading layer: Content went live without structured audits against best practice SEO guidelines.

No live data loop: Writers had no direct integration with Google Search Console, making audits a manual one-off task.

The Solution

We engineered a connected AI pipeline using two custom Model Context Protocol (MCP) servers integrated directly into Claude, enabling the model to write, grade, and publish content while pulling live search performance analytics automatically.

Model Context Protocol (MCP) is an open standard that allows models to call real APIs, read live data, and take actions inside other systems seamlessly as part of a single context thread.
Architecture Schema

Closed-Loop MCP Data Flow

Claude AI Orchestrator

Drafts content & initiates verification

Audit Layer
SEO MCP Server

Runs 12 semantic quality audits

Feedback Layer
Search Console MCP

Monitors impressions, clicks & position

The SEO MCP Server

12 TOOLS

Enables Claude to grade its own output across all dimensions, revising the content dynamically until it passes all on-page ranking signals.

analyse_content // Full Word, Heading, Tag & Schema Sweep
check_semantic_coverage // LSI & Topical Authority Verification
check_snippet_optimization // Featured Snippets Structure Check

The GSC MCP Server

8 TOOLS

Connects directly to live search console profiles. Evaluates traffic changes and queries organic ranking analytics.

get_search_analytics // Query CTR, Page Clicks & Positions
compare_search_periods //MoM Trending and Declining Queries
check_indexing_issues // Inspect URL status & Indexing Errors
Product Roadmap

Phase 2: Closed Loop Optimization

Automatic Publication

Direct integration with CMS endpoints to publish articles automatically when target grades are met.

Query content triggers

Identifying high-impression queries to automatically queue optimization sprints for existing content.

Weekly status audits

Automated weekly execution that pulls index status metrics and exports top actionable improvements.

Content gap analysis

Auditing search console queries to outline topics ready for immediate drafting and creation.

Get Started

Ready to automate your content pipelines?

Book a session with our technology team to discuss custom integrations, database triggers, and workflow automations.

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