What’s new in Reptor
We ship improvements every week. Here’s what’s been happening.
Chat with your monitoring
Your monitoring now holds thousands of mentions, sources and signals. From now on you simply ask it a question: "What was the most negative article this month?", "Which journalists wrote about us?", "Summarize last week's social discussion." The built-in assistant searches your own monitoring data and answers in plain language, with the underlying mentions attached so you can click straight through. No more digging through filters and tabs: you ask, Reptor looks it up for you.
Comments under social posts now count
A post about your brand can read as neutral while the comments underneath tell a very different story. Reptor now also reads the comments under posts on Facebook, TikTok, LinkedIn and more, and factors them into the sentiment analysis. So you see not just what is posted about you, but how the audience responds, with the most relevant comments right next to the mention.
Share counter: how often content about you is shared
How often an article or post about you gets shared says more about its reach than the piece itself. Reptor now counts, per mention, how often it is shared across social platforms. At a glance you see which coverage is really going around, so you can prioritize your response on what is actually spreading.
AI-cited sources are now tracked
When an AI platform answers a question about your company, it draws on sources. Reptor now automatically extracts those cited sources from the AI answers and adds them to your monitoring, so you see exactly which pages shape your AI reputation and can track and influence them yourself. Tracking and redirect links are filtered out automatically, leaving only the real sources. A concrete extension to your GEO strategy.
Under the hood: more accurate, more stable, less noise
Alongside new features, a lot of work went into reliability. The same social post now appears only once in your overview, no matter which link it came in through. Borderline relevance and sentiment cases are automatically escalated to a stronger AI model for a sharper verdict. Radio transcription has been decoupled from the recording so no fragments drop under load, and TV subtitles are shown more cleanly. Pages we are not allowed to visit now get a fitting title. And when an AI platform is briefly unresponsive, Reptor falls back to an alternative source instead of letting the scan fail. In short: the same Reptor, tighter.
Language filter: you decide which languages count
Set the active languages per monitor and Reptor shows only content in those languages, consistently across your overviews, dashboards, trends, monthly reports and alerts. On the Media and Social tabs you can also filter by language yourself. Nothing is thrown away: content in other languages keeps its language label and reappears the moment you activate that language. Especially valuable for organizations with international namesakes: foreign coverage about a company that happens to share your name no longer clouds your sentiment picture, while international brands simply activate multiple languages.
Namesake detection: automatic disambiguation
Companies and people with a common name used to see mentions of namesakes slip into their monitoring. Reptor now runs an AI namesake analysis right after the first scan: it clusters all found mentions per real company or person, shows which namesakes exist, and suggests exclusions and search refinements you can apply in one click. Social posts are checked on the poster's identity as well, and the noise filter has been sharpened further. The result: drastically fewer false positives and a sentiment picture that is really about you.
Video transcription for social videos
A mention in a TikTok or X video used to be invisible: spoken words appear nowhere as text. Reptor now automatically transcribes social videos about your brand, so what is actually said in them becomes searchable and gets a sentiment score, just like written content. After radio, TV and podcasts this closes the last audiovisual blind spot in your monitoring: video.
Boolean search terms (AND, OR, NOT)
Search terms now support boolean operators: AND, OR, NOT, quotes for exact phrases and exclusions. That makes monitoring far more precise for brands with generic names or multiple spellings; think of an exact phrase like "ACME" instead of every page containing those letters, or excluding an industry that shares your name. Your operators carry through to all sources and the relevance filter respects your exclusions too.
Microsoft Copilot monitoring: now 7 AI platforms
Reptor now also monitors Microsoft Copilot. With Copilot built into Windows, Microsoft 365 and Bing, more and more people get answers about your company straight from Copilot, so what it says about your brand matters just as much as ChatGPT or Gemini. Reptor now covers all major AI platforms: ChatGPT, Gemini, Perplexity, Grok, Google AI Mode, Claude and Copilot, giving you full visibility into how AI portrays your brand.
Podcast monitoring
Reptor now also monitors Dutch podcasts. Every new episode is automatically transcribed and searched for your brand, names and topics, with a sentiment score and a deeplink to the exact moment in the episode. Podcasts were invisible in reputation monitoring until now: spoken mentions appear nowhere as text, while hours are spent talking about companies, executives and industries. Alongside TV and radio, Reptor now covers the third major audio channel.
TV monitoring expanded: NPO Politiek en Nieuws
Reptor's live TV monitoring now also covers NPO Politiek en Nieuws — the Dutch channel dedicated to politics and news, including parliamentary debates and news bulletins. If your organization, spokesperson, or topic comes up in political or news coverage, you catch it in real time, right alongside NPO 1, 2, and 3.
Send pitches from Reptor + build your own clippings
Agencies can now send press releases and pitches directly from Reptor to their journalist list, with automatic open and click tracking. Follow-up publications that Reptor picks up are linked back to the original pitch, so per campaign you can see which pitches land and which outlets pick them up — a measurable layer on top of monitoring. Clients can also now build their own clipping reports from the dashboard and mark URLs for sentiment or relevance; that feedback feeds the self-learning noise filter directly, making the system more personal to your brand. Finally, journalist and media profiles now open as full pages instead of modals, with more history and contact details at hand.
Monthly reports 2.0: Stories, Top Voices, and Content Gap
Monthly reports got a major upgrade. A new Stories section clusters related articles into a single running narrative (news peak, event, ongoing, background theme), so you no longer see the same event five times in one report. Top Voices shows the most relevant voices per platform with sentiment bars and reach. Content Gap Analysis reveals which publications are writing about your competitors but not about you — concrete leads for your PR work.
Clipping reports with shareable AI summaries
Bundle articles, posts, and reviews from the dashboard into a clipping report: nine modular sections (sentiment, journalists, social, AI citations, reviews, theme), PDF and Excel export, email delivery, and a shareable public link. Generate an AI summary per report, then ask follow-up questions in a running conversation. Every version gets its own share link so older snapshots stay preserved and you can send a tailored summary to each stakeholder.
Backsearch + LLM source analytics
Reptor monitors continuously, but what if you add a term, person, or crisis later? With Backsearch you can search retroactively across Google Web, Google News, Bing, Reddit, X, YouTube, LinkedIn, Facebook, and TikTok over a chosen period. For radio, Reptor keeps all transcripts in a rolling 90-day window, so spoken mentions stay searchable after the fact. The LLM tab also got a source analytics dashboard that shows which domains and URLs are cited most often by AI platforms for your search terms — with drilldown per domain, search, and history. Directly usable for your content and GEO strategy.
Claude AI monitoring — 6 AI platforms
Reptor now monitors Anthropic’s Claude as a sixth AI search engine. As more people use AI assistants instead of Google, what Claude says about your company matters just as much as what ChatGPT or Gemini says. Reptor now covers all major AI platforms: ChatGPT, Gemini, Perplexity, Grok, Google AI Mode, and Claude — giving you full visibility into how AI portrays your brand.
Bluesky monitoring + expanded review platforms
Added Bluesky as a monitored social platform via the public AT Protocol API. Review monitoring expanded with Google Play, App Store, and Klantenvertellen. New Intelligence dashboard with journalist tracking, media outlet analysis, and competitive benchmarking.
24/7 Radio broadcast monitoring
Reptor now monitors live radio broadcasts 24/7 via speech-to-text analysis. Currently available for Dutch national and regional stations, with more countries coming soon.
Live TV broadcast monitoring
Reptor now monitors live TV broadcasts in real time. When your brand name is mentioned in a broadcast, you receive an alert within seconds, with a direct link to the broadcast and timestamp.
Google AI Mode monitoring
Added Google’s new AI Mode as a fifth AI platform. Reptor now monitors the AI-generated answers that appear directly in Google search results.
Social media monitoring expansion
Added TikTok and Reddit monitoring. Instagram and Facebook monitoring improved with deeper content analysis.
Enhanced alert management
Improved alert workflow with bulk actions, priority filtering, and sub-platform selection for Google Search vs. Google Maps.
Self-learning relevance system
Reptor now learns from your feedback. Mark mentions as relevant or irrelevant, and the system adapts its filtering for future scans.
Complete dashboard redesign
New position tracking charts, improved SERP feature cards, and a unified media timeline. PDF export with custom headers.
Perplexity and Grok added
Expanded AI platform monitoring from 3 to 5 platforms with the addition of Perplexity and Grok.