Built with Google Search Console MCP to create an autonomous SEO optimization system that monitors rankings, identifies search-to-citation gaps, and turns verified performance data into evidence-linked content briefs.
Technologies:
Illustrative visibility data
Interactive product concept · Mock data
A redesigned demonstration of the platform pattern: filter a synthetic query set, see where search ranking and AI citation disagree, and turn the widest gap into a content brief. Every number is invented.
01 · Period
02 · Search intent
Queries
12Visible mock setImpressions
114KSelected periodClicks
4.5KSynthetic GSCAI coverage
61.7%Across 5 enginesAvg position
6.1Impression-weightedOpen gaps
6Needs attentionVisibility trend
Citation coverage
Selecting an engine filters the ledger to mock queries it does not cite.
Unified query ledger
| Query | Intent | Impressions | Position | CTR | Citations | Gap |
|---|---|---|---|---|---|---|
| Commercial | 18.4K | 4.2 | 4.4% | 4/5 | Low | |
| Informational | 12.1K | 8.4 | 3.5% | 3/5 | Medium | |
| Commercial | 12.8K | 5.8 | 3.2% | 3/5 | Low | |
| Commercial | 7.6K | 10.6 | 2.8% | 2/5 | Medium | |
| Commercial | 5.9K | 6.7 | 3.7% | 1/5 | High | |
| Informational | 11.2K | 3.1 | 6.1% | 5/5 | Low | |
| Comparison | 4.8K | 7.1 | 3.9% | 4/5 | Low | |
| Informational | 7.6K | 9.2 | 3.2% | 3/5 | Medium | |
| Informational | 13.4K | 5.1 | 3.8% | 4/5 | Low | |
| Comparison | 3.8K | 2.9 | 4.6% | 2/5 | Medium | |
| Commercial | 9.6K | 4.8 | 4.1% | 4/5 | Low | |
| Informational | 6.4K | 7.8 | 3.9% | 2/5 | Medium |
ai visibility audit selected. Mock position 4.2, 4 of 5 AI platforms citing, low gap.
The Problem
Traditional SEO tools were built around search rankings. AI answer engines created a second, sampled visibility surface: whether a brand appears and is cited in generated answers.
The result? A team can perform well in Google and still have weak coverage across monitored AI prompts. The two systems need to be measured together.
The Solution
The SEO Intelligence Platform brings traditional SEO and sampled AI search visibility into one interface. It tracks keyword performance alongside citation rates across a defined prompt set, giving teams one view of both systems.
An AI-powered content brief generator creates strategies optimized for both Google and generative engines, closing the gap between SEO and GEO (Generative Engine Optimization).
What the system watches
Each instrument answers a different operational question: where demand exists, where the brand appears, where it is absent, and what the team should build next.
Monitor when and where your brand appears in ChatGPT, Perplexity, Claude, Google AI Overviews, and Gemini responses.
Keywords, rankings, impressions, clicks, and CTR from Google Search Console in one view.
GPT-4o-mini powered briefs with SEO targets, GEO recommendations, and competitor gap analysis.
Identifies high-impression keywords without dedicated landing pages to prioritize content creation.
Cross-platform citation rates with trend analysis showing visibility changes over time.
Core Web Vitals, Lighthouse scores, crawl statistics, and actionable recommendations.
AI platforms tracked simultaneously
5Keywords monitored with daily GSC updates
40+Historical trend analysis depth
90dTechnical Architecture
The published case study describes this stack for scheduled search-data collection, AI-assisted brief generation, interactive analysis, and Row Level Security.
How It Works
Google Search Console MCP pulls keyword rankings, impressions, and clicks daily. AI visibility monitors run queries across 5 platforms to check citation status.
Traditional SEO metrics merge with AI citation data in a single dashboard. Health scores combine both signals for a complete visibility picture.
The system identifies high-impression keywords without pages, and queries where competitors get AI citations but you do not.
Content brief generator creates guides optimized for Google rankings and AI engine citations, including GEO-specific recommendations.