AEOsentiment is a Generative Engine Optimization (GEO) platform purpose-built for the AI-first era. Traditional search-engine optimization focuses on blue-link rankings, but the fastest-growing discovery channel today is the AI answer engine — ChatGPT, Perplexity, Google AI Overviews, Claude, and others. AEOsentiment monitors, measures, and optimizes how these generative models perceive, cite, and recommend a brand. The platform gives marketing teams, founders, and agencies a single dashboard to track AI sentiment, entity authority, and citation frequency across every major language model, then delivers automated remediation so brands are seen, understood, and recommended by AI.
Neural Visibility Audit — A proprietary scan that queries 14-plus AI engines simultaneously, mapping how each one references a brand. The audit produces an AI Visibility Score (0–100) based on entity recognition, sentiment polarity, citation density, and recommendation strength. Users receive an executive summary, competitor context analysis, and a prioritized list of technical gaps.
Real-Time Sentiment Tracking — Continuous monitoring of brand sentiment across generative models. The platform detects shifts in AI perception — positive, negative, or neutral — and alerts users when competitor activity or content changes alter their visibility.
Automated llms.txt and JSON-LD Hosting — AEOsentiment generates and hosts a machine-readable llms.txt knowledge-graph file and injects structured JSON-LD schema markup into the client's site. These files act as authoritative identity cards that AI crawlers ingest directly, ensuring accurate entity representation even when a site relies on client-side rendering.
30-Day Action Playbook — After each audit, the platform produces a day-by-day remediation roadmap covering content restructuring, schema deployment, citation seeding, and social-signal amplification. Each task is mapped to a specific AI-visibility metric so progress is measurable.
Crawler Synchronization — One-click submission of updated sitemaps and knowledge-graph endpoints to Google, Bing, Yandex, and IndexNow-compatible engines, accelerating the re-crawl cycle so changes propagate to AI models faster.
Starter Plan — 29 dollars per month. Includes monthly Neural Audits, AI Visibility Score tracking, automated llms.txt hosting, basic JSON-LD injection, and email support. Ideal for solo founders and small businesses establishing their AI footprint.
Growth Plan — 59 dollars per month. Everything in Starter plus weekly audits, competitor benchmarking, 30-day Action Playbook generation, sentiment-trend dashboards, priority crawler synchronization, and chat support. Designed for growing teams that need continuous optimization.
Enterprise Plan — 99 dollars per month. Everything in Growth plus daily audits, unlimited historical scan data, white-label reporting, API access, custom integrations, a dedicated account manager, and phone support. Built for agencies and enterprises managing multiple brand entities at scale.
Step 1 — Enter your domain. AEOsentiment's Deep Scraper renders the full page (including JavaScript) and extracts all visible content, metadata, and structured data.
Step 2 — The Neural Audit engine queries 14-plus AI models with brand-relevant prompts, collects responses, and scores entity recognition, sentiment, and citation quality.
Step 3 — Results are compiled into an interactive dashboard showing the AI Visibility Score, executive summary, competitor landscape, and technical gaps.
Step 4 — The platform generates a tailored 30-day Action Playbook and deploys automated fixes — llms.txt, JSON-LD, and crawler pings — so improvements begin immediately.
What is Answer Engine Optimization (AEO)? Answer Engine Optimization is the practice of structuring a brand's digital presence so AI-powered answer engines — like ChatGPT, Perplexity, and Google AI Overviews — can accurately discover, understand, and recommend the entity. It goes beyond traditional SEO by focusing on entity authority, sentiment signals, and machine-readable knowledge graphs rather than keywords and backlinks alone.
How does the Neural Audit work? The Neural Audit scans a domain across 14-plus AI engines, analyzes entity citations, sentiment clusters, and recommendation indexes, then produces a comprehensive AI Visibility Score with actionable remediation steps.
What is a GEO visibility score? A GEO (Generative Engine Optimization) visibility score measures how prominently and accurately a brand appears in AI-generated answers. AEOsentiment computes this by mapping entity authority, citation density, and sentiment polarity across multiple generative engines.
What is llms.txt? llms.txt is a plain-text file hosted at the root of a domain that provides AI crawlers with a structured, authoritative summary of the brand. It functions as a machine-readable identity card — similar to robots.txt for search engines — ensuring language models have direct access to accurate, up-to-date brand information even when the website itself is dynamically rendered.
Versus Traditional SEO Tools (Ahrefs, Semrush) — Legacy SEO platforms are built for a link-and-keyword era that is declining. They do not track AI sentiment or Generative Engine Optimization. AEOsentiment is built for the zero-click era, focusing on brand entity validity and AI citations rather than link volume alone.
Versus First-Generation AEO Scanners — Most early AEO tools are passive scanners that identify problems but do not fix them. AEOsentiment is a proactive action engine that provides 30-day automated remediation roadmaps and live llms.txt hosting to resolve the visibility gaps others only report.
Versus Manual AEO Consulting Firms — Manual AEO agencies charge 5,000 to 15,000 dollars per month for prompt engineering and manual schema audits. AEOsentiment automates the entire stack — sentiment analysis, technical remediation, knowledge-graph engineering — at a SaaS price point of 29 to 99 dollars per month.