AI Funnel Website Builder Using Tiered Data Access

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Solution Overview

Problem

Existing AI-based funnel website building tools lack access to comprehensive conversion rate data across various businesses, limiting their ability to optimize funnel websites effectively.

Innovation Solution

A tiered software framework that utilizes an AI engine to generate funnel websites by ranking templates based on conversion rates from similar businesses, allowing for data sharing across a hierarchy of subscribers.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If AI-based funnel website building tools are used, then website generation speed is improved, but conversion rate optimization capability deteriorates due to lack of comprehensive conversion data

Engineering Contradiction:
Improvewebsite generation speedVSAvoidconversion rate optimization capability
Core Design Contradiction:
ProductivityVSReliability

Solution Approach 1:

The patent merges data from multiple subscriber accounts into a centralized data warehouse, combining conversion rate data across different businesses and industries. This aggregation enables the AI engine to access comprehensive conversion data that would be unavailable to individual tools, thereby improving conversion rate optimization capability while maintaining automated website generation speed.

Inventive Principle:
Principle #5Merging (Combining)

Solution Approach 2:

The patent introduces a data warehouse as an intermediary layer between individual subscriber accounts and the AI engine. This intermediary collects, stores, and manages conversion rate data from multiple sources, making comprehensive data available to the AI engine for template ranking and selection, thus resolving the data scarcity problem without slowing down website generation.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If conversion rate data from multiple businesses is collected, then conversion rate optimization is improved, but data privacy and security requirements become more complex

Engineering Contradiction:
Improveconversion rate optimizationVSAvoiddata privacy and security management
Core Design Contradiction:
ReliabilityVSDevice complexity

Solution Approach 1:

The patent segments the data warehouse into isolated subscriber accounts, where each account's conversion rate data is stored separately and can only be accessed by authorized users. This segmentation approach enables comprehensive data collection for optimization while maintaining data privacy and security through structured access control, avoiding the need for complex cross-account data sharing mechanisms.

Inventive Principle:
Principle #1Segmentation

Solution Approach 2:

The patent implements self-service mechanisms where each subscriber manages their own data within their account, and the system automatically handles data aggregation and protection. This reduces the complexity of manual data privacy management while still enabling comprehensive conversion rate optimization through automated data collection and AI-driven template selection.

Inventive Principle:
Principle #25Self-service

3Reliability

If AI engine ranks templates based on comprehensive conversion data, then funnel website effectiveness is improved, but computational requirements and processing time increase

Engineering Contradiction:
Improvefunnel website effectivenessVSAvoidtemplate ranking processing time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent performs preliminary actions by pre-calculating and storing conversion rate metrics in the data warehouse before the AI engine needs them for template ranking. Conversion rates are computed and stored in advance based on historical performance data, allowing the AI engine to quickly retrieve and use pre-processed data for template selection, thereby reducing real-time processing time while maintaining comprehensive data analysis for effectiveness.

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS20250080617A1Systems and methods for building funnel websites using artificial intelligence in a tiered software framework
Publication Date: 2025.03.06 HIGHLEVEL INC
  • US20250080617A1 patent drawing
  • US20250080617A1 patent drawing
  • US20250080617A1 patent drawing

AI summary

Embodiments of a method for building funnel websites using artificial intelligence (AI) comprise providing a first tier, a second tier and a third tier, wherein: data in the first tier is accessible at the first tier and inaccessible at the second tier and the third tier, data in the second tier is accessible at the first tier and the second tier and inaccessible at the third tier, and data in the third tier is accessible at the first tier, the second tier and the third tier; providing, at the first tier, an AI engine; automatically generating, at the first tier using the AI engine, funnel website templates based on previously generated funnel websites; automatically building, at the first tier using the AI engine, a new funnel website using the funnel website templates for a subscriber to the third tier; and automatically deploying the new funnel website at the third tier.