Experimental SEO tools
These are some SEO tools that we have built while using AI coding methodologies. Vibe coding has democratized software engineering to a certain degree so this enables us to analyze data and search patterns that weren’t previously possible without the use of expensive SAAS platforms or custom development.
AI Prompt Grounding Predictor
The AI grounding tool helps to predict whether Google Gemini will need to leverage external resources beyond it’s current knowledge base to generate an AI response. Responses that require Retrieval-Augmented-Generation (RAG) are referred as a “grounded response”. Non-grounded responses rely on the existing knowledge base. Grounded responses are potentially an opportunity to help inform AI through relevant SEO content.
The SEO Consultant.ai Chatbot
The SEO Consultant.ai chatbot uses adds RAG-capabilities to ChatGPT to answer your questions.
Google Ads Search Term Analyzer
Upload an Excel file (.xlsx) from your Google Ads search terms report and analyze it. This tool extracts n-grams which can be used to optimize your campaigns. Your paid search data can also be used to inform SEO content strategy if you have a big enough sample size.
Google Algorithm Impact Visualizer
This app loads GA4 data, fits Meta’s Prophet model to display both the actual and forecasted values along with shaded regions representing Google algorithm update periods. The goal here is to visualize the impact of major Google updates on your search traffic. The model accounts for seasonality and holiday effects.
Website Traffic Forecast
This app loads GA4 data, fits a NeuralProphet model to forecast future sessions, and displays both the actual and forecasted values along with shaded regions representing Google algorithm update periods. NeuralProphet is a more sophisticated version of the original Prophet model created by Meta.