AURA
Product case study · 2026

AuraSEO | Next-Gen Technical SEO, AEO & GEO Analyzer Tool

A comprehensive SEO analyzer tool engineered to audit websites across traditional Search Engine Optimization (SEO), Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO). It crawls internal pages, captures multi-device viewports via Puppeteer, runs Google Lighthouse, analyzes backlink equity, and scores multiple issues based on their specific impact on site health.

Comprehensive 6-page audit tool that crawls pages, captures multi-device screenshots via Puppeteer, runs Lighthouse, and benchmarks SEO, AEO & GEO readiness with weighted impact scoring.
AuraSEO | Next-Gen Technical SEO, AEO & GEO Analyzer Tool feature screenshot
AuraSEO | Next-Gen Technical SEO, AEO & GEO Analyzer Tool interface overview
( 01 )
About Project

AuraSEO is a specialized SEO analyzer tool built to evaluate modern web applications across traditional search, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO). Rather than relying on external AI models, AuraSEO operates as a high-performance deterministic audit engine that inspects whether a website is properly prepared for both conventional search crawlers and modern conversational search agents such as ChatGPT Search , Perplexity AI , Claude Search , and Google AI Overviews .

The tool organizes its complete analysis across 6 dedicated pages : Overview , AI Readiness , Site Health , Performance , Backlinks , and Issues . During an audit, an asynchronous crawler discovers and traverses internal paths, measures HTTP response codes, and records response latency per URL. In parallel, headless Puppeteer captures automated full-page screenshots across desktop and mobile viewports, while an integrated Google Lighthouse engine evaluates Core Web Vitals, server TTFB (Time to First Byte), and render-blocking scripts.

AuraSEO also inspects critical frontier directives—verifying AI bot permissions in robots.txt (GPTBot, ClaudeBot, PerplexityBot, Google-Extended), checking for machine-readable /llms.txt indexes, and extracting structured Schema.org JSON-LD entity graphs. It maps off-page link equity across unique referring root domains and anchor text distributions. Finally, the Issues engine evaluates all discovered bottlenecks and applies a weighted marking system based on how heavily each factor impacts its respective area, generating an overall health radar breakdown.

( 02 )
Tech Stack & Features

Technology Stack

The frontend is built with React and TanStack for responsive state management and view routing, styled with Tailwind CSS. The backend is powered by Node.js, running an asynchronous page crawler, Google Lighthouse for performance diagnostics, Puppeteer for automated multi-device screenshots (desktop and mobile viewports), and custom parsing algorithms for robots.txt rules, /llms.txt indexes, Schema.org entity graphs, and backlink signals.

ReactTanStackPuppeteerNode.js

Key Features

A 6-page technical audit and analysis tool designed to crawl pages, test performance, capture device screenshots, inspect backlink equity, and benchmark AEO and GEO readiness.

01

Full 6-page diagnostic audit suite: Overview, AI Readiness, Site Health, Performance, Backlinks, and Issues

02

Dedicated SEO analyzer tool with focused checks for traditional SEO, AEO, and GEO readiness

03

Asynchronous page crawler that traverses internal links, detecting 3xx redirects and 4xx/5xx HTTP errors

04

Real-time crawl latency timeline and response time distribution histogram per crawled URL

05

Automated multi-device screenshot capture powered by Puppeteer across Desktop (1920x1080) and Mobile viewports

06

Headless Google Lighthouse engine measuring Speed Index (100/100), server TTFB, and render-blocking scripts

07

AI Readiness & AEO verification checking robots.txt permissions for GPTBot, ClaudeBot, PerplexityBot, and Google-Extended

08

Token-efficient /llms.txt markdown index detection and validation for AI engine discovery

09

Structured Schema.org JSON-LD entity graph analyzer validating brand, author, and product microdata

10

Domain authority and backlink profile diagnostics mapping unique referring root domains and citations

11

Citation context and natural anchor text distribution analysis with social platform filtering

12

Automated directive validation for robots.txt rules, XML sitemaps, and machine-readable agent indexes

13

Multi-issue diagnostic engine that detects errors and calculates weighted markings based on impact severity

14

5-axis radar chart synthesizing On-Page SEO, Backlinks, Technical SEO, AEO, and Performance into an overall health score

( 03 )

User Interface Showcase

A selection of key interfaces from the project, showcasing core user workflows, essential features, and responsive design.

01

Product Landing

A sleek, dark luminous landing page introducing the SEO, AEO, and GEO audit tool with instant URL input.

02

Audit Overview & Radar

Synthesizes On-Page, Backlinks, Technical, AEO, and Performance into a radar score alongside Puppeteer device preview frames.

03

AI Readiness & AEO

Audits AI crawler permissions (GPTBot, ClaudeBot, PerplexityBot), /llms.txt index, and Schema.org entity graphs.

04

Crawl Architecture

Crawls internal paths, monitors HTTP status codes, plots response time histograms per URL, and checks sitemaps.

05

Page Speed & Vitals

Runs Lighthouse to measure 100/100 Speed Index, server TTFB, and captures dual desktop/mobile Puppeteer renders.

06

Backlink Profile & Equity

Evaluates domain authority, inbound backlink counts, referring root domains, and anchor text distribution.

( 04 )

Project Workflow

A target URL is submitted to the audit engine, which runs an async page crawler, Puppeteer device capture, Google Lighthouse, backlink analysis, and AEO directive checks in parallel. All detected issues are weighted by their impact to compute category markings and the final health radar score.

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