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.
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.
Selecting an engine filters the ledger to mock queries it does not cite.
| Query | Intent | Impressions | Position | CTR | Citations | Gap |
|---|---|---|---|---|---|---|
| ai visibility audit | commercial | 18.4K | 4.2 | 4.4% | 4/5 | low |
| generative engine optimization | informational | 12.1K | 8.4 | 3.5% | 3/5 | medium |
| ai product development agency | commercial | 12.8K | 5.8 | 3.2% | 3/5 | low |
| answer engine optimization services | commercial | 7.6K | 10.6 | 2.8% | 2/5 | medium |
| geo agency philippines | commercial | 5.9K | 6.7 | 3.7% | 1/5 | high |
| what is llms.txt | informational | 11.2K | 3.1 | 6.1% | 5/5 | low |
| ai sales qualification | comparison | 4.8K | 7.1 | 3.9% | 4/5 | low |
| multi agent ai systems | informational | 7.6K | 9.2 | 3.2% | 3/5 | medium |
| ai search visibility | informational | 13.4K | 5.1 | 3.8% | 4/5 | low |
| seo intelligence platform | comparison | 3.8K | 2.9 | 4.6% | 2/5 | medium |
| ai citation tracker | commercial | 9.6K | 4.8 | 4.1% | 4/5 | low |
| website invisible to chatgpt | informational | 6.4K | 7.8 | 3.9% | 2/5 | medium |
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 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).
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.
The published case study describes this stack for scheduled search-data collection, AI-assisted brief generation, interactive analysis, and Row Level Security.
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.
The pattern from this platform lives on in Radar: crawl access, structured data, llms.txt, brand citations and more, scored in one pass with a prioritized fix list.