Advanced AI-Powered Reputation Management & Governance Platform
ReputeGuard is an advanced web-based optimization and governance platform designed to prepare organizations for the emerging era where artificial intelligence systems such as ChatGPT, Gemini, Claude, and Perplexity shape how the public perceives facts about companies. Our proprietary technology ensures your organization's information is accurate, machine-readable, verifiable, and deployed safely into the digital ecosystem.
Join the WaitlistBuilt on cutting-edge AI and semantic web technologies to ensure your brand is accurately represented across all AI systems and digital platforms
At the heart of ReputeGuard lies the Canonical Audit Engine, which continuously crawls the web to identify every instance where your organization is mentioned. It analyzes your company's main website, profiles across LinkedIn, Crunchbase, and news databases.
The engine extracts all factual elements such as people, names, product descriptions, locations, and verifiable attributes. Our system then normalizes these fragments into structured entities and cross-compares them with trusted sources to detect discrepancies between verified and unverified data.
This produces a detailed Entity Diff Report showing precisely where contradictions exist, what information is missing, and which errors could cause large language models to hallucinate or misinterpret facts.
Once factual discrepancies are identified, the Canonical Profile Builder transforms the corrected data into a Verified Knowledge Graph expressed in JSON-LD format. This is a living, machine-readable model that represents every element of your organization including its people, products, subsidiaries, and proven achievements.
It incorporates microdata and provenance links showing where the data originated, timestamping each claim, confirming its freshness and digital signatures authenticating its accuracy. This approach eliminates the common problem of fragmented or unreliable data that causes schema scores to collapse and reputation systems to produce inaccurate or outdated answers.
The Canonical Knowledge Graph lays the foundation for reliable information retrieval, giving schema scores a boost and treating your organization as a coherent knowledge graph rather than a scattered set of tags.
After the canonical knowledge graph is created, the Auto Deployment Engine connects directly to the brand's digital properties. It integrates with content management systems such as WordPress, Webflow, and Shopify, as well as custom headless frameworks.
Through connectors, it automatically publishes verified schema and metadata fixes directly into your CMS or secure connectors. All actions flow through a controlled interface that allows teams to review and approve each proposed change before deployment.
Every modification is versioned and logged with rollback capabilities, creating an immutable audit trail of deployments. This completely eliminates manual errors and ensures reputation data stays consistently accurate across all touchpoints.
ReputeGuard implements continuous Language Model Optimization through recurring subscriptions for fact alignment and drift correction. This includes testing across major LLMs like ChatGPT, Gemini, Claude, and Perplexity.
Our system regularly queries these AI models with questions about your organization, monitoring responses for accuracy. When drift is detected—when models start producing outdated or incorrect information—our optimization process kicks in with monthly fact-updates and automated optimization score tracking.
This proactive approach ensures AI systems worldwide maintain accurate, up-to-date information about your brand, preventing reputation damage from AI-generated misinformation.
Our multi-user enterprise dashboard provides real-time visibility into your brand's reputation across AI systems. Track LMO score evolution, analyze AI mention trends, and measure factual freshness metrics with visual analytics and opportunistic reports.
The dashboard consolidates data from all monitoring sources, providing executive-level insights into how your brand is represented across the AI ecosystem. Customizable alerts notify your team of significant changes or emerging issues.
Automated scraping of GDPR rectification requests, DMCA takedowns, and defamation notices. Works with one-signature digital evidence packs ideal for legal departments and reputation managers.
Our system streamlines the entire legal remediation process, from identification of violations to documentation and takedown requests. All actions are documented with legal-grade evidence suitable for court proceedings if necessary.
In the age of AI, traditional reputation management is no longer sufficient. Language models and AI systems are reshaping how information is discovered and trusted.
Large language models like ChatGPT and Claude can generate incorrect information about your organization, causing reputation damage. Without machine-readable, verified data, AI systems may confabulate facts, merge your company with competitors, or cite outdated information.
Your company information exists in hundreds of places—LinkedIn, Crunchbase, news articles, forums—often with contradictions and inconsistencies. This fragmentation confuses both humans and AI, leading to inaccurate representations.
Traditional SEO focuses on keyword rankings, but AI systems use semantic understanding and structured data. Without proper optimization, your brand becomes invisible to AI-powered search and recommendation systems.
Managing reputation across platforms is time-consuming and error-prone. Manual processes can't keep pace with the speed of AI-generated content and the scale of digital mentions.
There's no way to prove the accuracy of information about your organization to AI systems. Without verified, timestamped, digitally-signed data, false information spreads as easily as truth.
AI models trained on historical data continue to propagate outdated information about your brand. Without continuous monitoring and correction, your reputation drifts away from reality.
Our comprehensive 6-stage process ensures your brand is accurately represented across all AI systems and digital platforms
Seamlessly connect all your digital properties including websites, CMS platforms (WordPress, Webflow, Shopify), social media accounts, and business profiles. Our integration process takes minutes and requires no technical expertise.
Powered by our Auto Deployment Engine with secure API connections
The Canonical Audit Engine crawls your website, LinkedIn, Crunchbase, news databases, and 10+ other sources. It extracts all factual elements—people names, product descriptions, locations, verifiable attributes—and identifies inconsistencies.
Uses the proprietary Canonical Audit Engine to create Entity Diff Reports
Our Canonical Profile Builder creates a verified JSON-LD knowledge graph representing your organization. Every claim is timestamped, digitally signed, and linked to trusted sources, creating a machine-readable "source of truth."
Canonical Profile Builder generates verified, structured data with provenance
Verified schema and metadata fixes are automatically deployed to your CMS and digital properties through secure connectors. All changes are versioned with rollback capabilities and complete audit trails.
Auto Deployment Engine with WordPress, Webflow, and Shopify integration
Continuous testing across ChatGPT, Gemini, Claude, and Perplexity ensures AI systems accurately represent your brand. Monthly fact-updates correct drift and maintain optimization scores.
Language Model Optimization (LMO) subscription with drift detection
Access real-time analytics through our AI Reputation Dashboard. Track LMO scores, monitor AI mention trends, analyze sentiment, and receive instant alerts when issues arise. Continuous improvement ensures lasting reputation protection.
Enterprise dashboard with visual analytics and custom reporting
Flexible packages designed for businesses of all sizes. Choose the services that fit your reputation management needs.
Our pricing is structured around modular packages and ongoing subscriptions, allowing you to build a custom solution that scales with your organization's needs. From one-time audits to comprehensive enterprise plans, we have options for everyone.
per full audit (covers up to 10 domains and entities)
Organizations purchase a Canonical Audit using ReputeGuard's engine to crawl their primary web presence (LinkedIn, press mentions, registries), producing an Entity Diff Report highlighting inconsistencies and factual risks.
Get Startedper month per brand
A recurring subscription for continuous monitoring, fact alignment, and AI drift correction testing across major LLMs (ChatGPT, Gemini, Claude, Perplexity). Includes monthly fact-updates and optimization score tracking.
Subscribe Nowone-off setup fee
Add-on for enterprises that want ReputeGuard to automatically publish verified schema and metadata fixes directly into their CMS via secure connectors (WordPress, Webflow, Shopify).
Add to Packagemonthly bundle (up to 6 notices/claims)
Automated scraping of GDPR rectification requests, DMCA takedowns, and defamation notices, with one-signature digital evidence packs. Ideal for legal departments and reputation managers.
Protect Your Brandper year per API license
Provides programmatic access to ReputeGuard's verified JSON-LD knowledge graph so other verified systems, AI assistants, or marketing tools can fetch the canonical truth model. Includes 100k API calls/year.
API Accessper month for up to 10 seats
Multi-user enterprise dashboard showing LMO score evolution, AI mention trends, and factual freshness metrics with visual analytics and opportunistic reports.
Team Dashboardper dataset verified
Expert-led validation of sensitive data (executive bios, financial certifications) with human review, provenance documentation, and optional watermarking for high-trust digital signing.
Expert Verificationper month per brand (includes all LMO features and dashboard)
Optional white-label and ad-free version for corporates, removing benchmarking visibility from public leaderboards and allowing anonymous watermarking.
Enterprise SolutionFounder & CEO
Founding ReputeGuard was the natural culmination of these experiences. Having seen how companies invest heavily in SEO to appear credible, yet often fail to maintain factual consistency across the digital landscape, I realised there was a deeper, unaddressed need — a system that ensures brands are represented truthfully across AI, search, and data ecosystems. Through ReputeGuard, I aim to redefine the future of digital reputation by transforming truth governance into a measurable, automated, and commercially valuable asset.
As AI systems like ChatGPT, Claude, Gemini, and Perplexity become the primary gatekeepers of information discovery, companies face an unprecedented challenge: their reputation is no longer just about what they say, but about what AI systems believe to be true. Without verified, machine-readable data, even the most respected brands risk being misrepresented by hallucinating language models.
ReputeGuard emerged from recognizing this critical gap in the market. Traditional reputation management and SEO tactics are insufficient in an era where AI models synthesize information from fragmented, often contradictory sources. We needed to build something fundamentally different—a platform that creates canonical, verifiable truth about organizations and ensures that truth propagates consistently across every AI system that matters.
Under my leadership, ReputeGuard has developed proprietary technology including the Canonical Audit Engine, Canonical Profile Builder, and Language Model Optimization systems. Our mission is clear: democratize access to enterprise-grade reputation protection and ensure that businesses of all sizes can maintain accurate, consistent representation in the age of AI-generated information.
"Your brand's reputation in the AI era depends entirely on the accuracy and verifiability of the data that AI systems consume. ReputeGuard transforms truth governance from a reactive crisis management exercise into a proactive, measurable, and commercially valuable strategic asset."
Be among the first companies to access ReputeGuard and ensure your brand is accurately represented across all AI systems. Early adopters receive exclusive benefits and priority onboarding.