GEO Diagnostic Tools
I created my generative engine optimisation suite to address a major blind spot in modern search management. Copywriters or developers frequently push updates (like altering schema markup, deleting structured lists, or changing headings) that look fine visually but completely break how AI engines interpret the site. Since most brands only perform manual checks or periodic monthly audits, these invisible regressions go unnoticed for weeks, quietly harming your citations and recommendations in ChatGPT or Perplexity responses. My automated suite continuously scans your content structure to alert you the moment a change compromises your AI accessibility.
GEO Audit Tool
I check how well your content is structured for AI-generated search responses, readability, layouts, EEAT, and citation likelihood.
Try GEO Audit ToolAI Topical Monitor
I scrape page content and map semantic positioning using edge artificial intelligence models to identify topical drift.
Try AI Topical MonitorAI Search Accessibility
I parse your robots.txt file and evaluate access permissions for 14 specific crawler identities across platforms.
Try AI AccessibilityAgentic AI Readiness
I audit your accessibility tree, interactive element alt descriptors, visual stability, and llms.txt files.
Try Agentic AI ReadinessSchema Validation
I fetch your landing page and extract application/ld+json metadata blocks to audit structural validation flags.
Try Schema ValidationSynthetic Prompts
I scan webpage copywriting and structure to generate natural conversational user persona queries for AI search optimisation audits.
Try Synthetic PromptsAI Brand Reputation
I compare page sentiment metrics and positioning claims against the AI's internal training data to highlight narrative alignment.
Try AI Brand ReputationFrequently Asked Questions
What is Generative Engine Optimisation and why does it need monitoring
Generative Engine Optimisation involves formatting your website content so that AI search platforms can easily scrape and cite your brand. I build monitoring tools to track these elements because small structural changes made by copywriters or developers can break your AI crawler accessibility. Without continuous monitoring, you risk losing valuable citations until your next monthly audit.
How does the AI Search Accessibility monitor work
My tools parse your robots.txt file and verify permissions for fourteen separate AI crawler identities, including ChatGPT, Claude, and Perplexity. Note that certain server setups, CDN protections, or firewall IP blocks might affect check executions, so I recommend verifying your host parameters if connection issues arise.
Why is the llms.txt file important for agentic AI readiness
The llms.txt file provides a clean, markdown-based summary of your site structure specifically designed for large language models. I audit this file to check that it contains accurate, zero-fluff text blocks that AI systems can retrieve rapidly during conversational search tasks.
How do I track AI brand reputation
I built the AI Brand Reputation Monitor to run semantic analysis checks that compare your website copy against the internal database consensus of generative models. If your brand positioning shifts or alignment weakens on key topics, my reputation monitor flags the deviation immediately so you can refine your content assets.
What are synthetic prompts and how do they help my strategy
I analyse your page content to generate the exact conversational queries that target customers are likely to ask AI engines. This allows you to audit your pages using realistic user prompts, helping you verify that your brand is contextually aligned to win citations in conversational search.