
Amsterdam, Netherlands
2025
Public Relations & Communications, Marketing & Advertising, Media & Publishing, Corporate Communications, Professional Services
Reptor is an AI-powered reputation intelligence company that develops software for monitoring how businesses and brands are represented across the internet. Its platform combines AI-powered reputation monitoring with traditional media and search monitoring, covering Google results, news, reviews, social networks, forums, and other online sources. Reptor also monitors how companies appear in AI-generated answers from platforms such as ChatGPT, Gemini, Perplexity, Claude, and Copilot, extending reputation monitoring into the emerging AI-search ecosystem.
Reptor continuously monitors digital channels where a company’s reputation and visibility can be shaped. It tracks Google search positions, news coverage, reviews, social media conversations, autocomplete suggestions, Wikipedia changes, podcasts, Telegram discussions, and other online sources.
A major part of the platform is AI search monitoring. Reptor checks how AI systems such as ChatGPT, Gemini, Perplexity, Grok, Claude, Copilot, Google AI Mode, and Google AI Overviews describe a company. The platform applies AI-based sentiment and relevance analysis to collected results and tracks changes over time, helping communications and marketing teams identify emerging reputation issues and shifts in brand visibility.
Reptor combines artificial intelligence, automated data monitoring, sentiment analysis, and search-position tracking within a single reputation intelligence platform.
Its AI analyzes results gathered across digital channels and assigns sentiment scores to individual mentions. Rather than relying exclusively on keyword matching, the system uses AI to determine the relevance and sentiment of information associated with a company or brand. Historical tracking allows users to see how individual results and broader reputation patterns change over time.
A particularly relevant part of Reptor’s technology is its monitoring of generative AI and AI search platforms. The system tracks responses generated by ChatGPT, Gemini, Perplexity, Grok, Claude, Copilot, Google AI Mode, and Google AI Overviews. This extends traditional reputation monitoring beyond web pages and search rankings into AI-generated brand representation, an increasingly important component of generative engine optimization (GEO) and AI visibility measurement.
Online reputation is increasingly influenced by more than conventional Google search results. Consumers and business users can now ask AI assistants about companies, products, and services and receive synthesized answers instead of navigating a traditional list of search results.
Reptor addresses this shift by treating AI-generated answers as another measurable reputation channel alongside search engines, news, reviews, social media, and other sources. Its approach illustrates the emerging intersection of reputation management, artificial intelligence, and AI search visibility. For organizations tracking how their brands are represented online, this creates visibility into information appearing across both traditional and generative search environments.
This is the main reason I think Reptor belongs in futureTEKnow’s AI database rather than being treated merely as conventional marketing software.
Reptor’s core platform provides AI-powered reputation and media monitoring across multiple digital channels. It brings Google search monitoring, AI-generated responses, online reviews, news coverage, social media, autocomplete results, Wikipedia activity, Telegram discussions, podcasts, and other sources into one monitoring environment.
The platform also provides AI sentiment analysis and position tracking, allowing organizations to monitor how individual mentions are characterized and how their visibility changes over time. Alerts help users identify reputation-related changes without manually monitoring each channel.
Reptor’s technology can be used by communications, public relations, marketing, and reputation-management teams to understand how organizations are portrayed across digital channels.
Applications include brand and reputation monitoring, tracking media coverage and online reviews, identifying negative or changing sentiment, monitoring social conversations, and following Google search visibility. Reptor can also be used for AI visibility and generative search monitoring, helping organizations understand how AI assistants describe their brands and how those representations change over time.
PR and communications teams can use this information to identify emerging issues, measure media visibility, and compare traditional online reputation signals with those appearing in AI-generated responses.
Reptor monitors how companies appear across ChatGPT, Gemini, Perplexity, Grok, Claude, Copilot, Google AI Mode, and Google AI Overviews. This allows organizations to track how different generative AI systems represent their brands.
Yes. Reptor tracks Google search rankings for selected keywords and brand-related terms, complementing its AI-search monitoring capabilities with traditional search visibility data.
Yes. Reptor uses AI to score the sentiment of monitored results across its supported channels. The platform also tracks sentiment and result positions historically so users can identify changes over time.
Reptor monitors sources including Google search, AI platforms, news and media, review sites, social networks, autocomplete results, Wikipedia, Telegram, and podcasts. Its social monitoring includes platforms such as X, TikTok, Reddit, LinkedIn, Facebook, Instagram, YouTube, Telegram, and Bluesky.
Reptor provides measurement relevant to GEO by monitoring how brands appear within AI-generated answers. Organizations can use this information to understand their visibility and representation across generative search platforms, although Reptor’s broader product extends beyond GEO into reputation and media monitoring.
Have an update, correction, or additional information about this company? Help us keep the futureTEKnow company database up to date by submitting the latest company information.

OpenAI’s Astra for Law combines GPT-6 Astra with specialized legal search, integrations, and governance controls. The launch shows how frontier AI is moving deeper into professional legal workflows.

AI projects often stall because business data isn’t consistent or trustworthy. Here’s how to identify data gaps before they become an AI roadblock.

EVAS Intelligence has raised 1.5 billion yuan to mass‑produce its RISC-V Epoch AI chips, deepen its full‑stack platform, and accelerate global expansion, signaling rising investor confidence in alternative AI compute.

Orkes has raised 60 million dollars to turn its Netflix‑born workflow engine into a control plane for enterprise AI agents. The piece unpacks how its orchestration platform works, why investors are backing it now, and what this means for companies trying to move AI from pilots into production.

Paris-based Sillage has raised €1.7 million to launch an AI signal engine that helps enterprise sales teams follow the right buying signals, prioritize high-intent accounts, and improve pipeline efficiency without replacing human-led conversations.

Cloneable is launching an agentic AI platform for infrastructure operations that captures institutional knowledge from retiring experts and turns it into scalable agents, targeting energy, utilities, and other asset-heavy sectors. The $4.6M seed-backed startup aims to connect field data capture with back-office execution so founders and operators can modernize infrastructure faster and with fewer bottlenecks.

Excerpt: Ricursive Superintelligence has raised at least $500 million to build self‑improving AI, with GV and Nvidia backing a four‑month‑old lab at a $4 billion valuation. The deal crystallizes how quickly capital, talent and regulatory scrutiny are converging around autonomous AI research—and what that means for builders trying to compete outside the frontier club.

Brazilian startup BOND has raised US$2M to automate accounting for SMEs in Brazil’s complex tax system. Combining AI with human accountants, it targets a fragmented market of manual processes, aiming to turn back-office compliance into a faster, more strategic function for founders and operators.

Loop just raised a $95M Series C to expand its AI-native supply chain platform, turning messy logistics data into early disruption warnings and better financial outcomes for global operators and shippers.

Linkedin X-twitter-square Facebook-square Startups & Business News AI agents are finally moving from demos to the day-to-day stack of real

Factory has raised a $150M Series C at a $1.5B valuation to scale its autonomous “Droids” platform, betting that enterprises will standardize software engineering around agent‑native missions, governance and cost‑optimized AI infrastructure.

Solidroad has raised $25 million to bring AI-native quality assurance to every human and AI-powered customer interaction. The new funding will accelerate product development and expansion for support-heavy businesses leaning into automation.
futureTEKnow is focused on identifying and promoting creators, disruptors and innovators, and serving as a vital resource for those interested in the latest advancements in technology.
© 2026 All Rights Reserved.