Pricing Built for Real Intelligence

Sentinel monitors hundreds of public Telegram channels across the MENA region using a passive listener architecture. Narratives break on Telegram 6-24 hours before they appear in traditional media. Track the full journey from first mention to mainstream coverage.

Sentinel monitors X / Twitter in real-time. Entity keywords are tracked across Arabic, English, and French - every matching post lands in the platform within seconds of publication, with engagement metrics (likes, retweets, impressions), amplification-chain detection, and cross-layer linking to news and Telegram narratives. Especially critical for Saudi Arabia where X dominates public discourse.

A centralized command center for all your media coverage. Filter by entity, outlet, language, date range, sentiment, and mention prominence. Includes timeline charts, geographic breakdowns, and outlet distribution - all updating on a 15-minute cycle.

Sentinel builds and maintains a canonical profile for every entity you monitor - names, titles, affiliations, public bios, official URLs, social handles, and key facts - sourced from Wikipedia, Wikidata, Google Knowledge Graph, and verified web sources. The profile sharpens NLP precision, anchors hallucination checks on AI answers, and gives your team a single source of truth on who the entity actually is.

Each week, Sentinel captures page 1 of Google and Bing for every entity across English, Arabic, and French. You see the exact ranks, titles, and snippets that decision-makers will read first, plus a reputational gap analysis (missing official site, hostile articles ranking, broken canonical URLs). The data drops directly into SEO and ORM playbooks.

Sentinel queries ChatGPT, Claude, and Gemini each week with consistent prompts about every entity. The platform stores the full answers, extracts the claims, flags hallucinations against your canonical profile, and surfaces a Co-pilot draft button for each reputation gap (authoritative bio, structured data, Wikipedia edit, press correction). This is GEO (Generative Engine Optimization) at the platform level.

Unlike keyword-based tools, Sentinel analyzes full article context using LLMs to detect true sentiment - including sarcasm, hedging, and mixed opinions - across Arabic (MSA + major dialects: Egyptian, Gulf, Levantine), English, and French.

Pre-LLM tools analyze sentiment sentence by sentence, missing sarcasm that only becomes apparent in context. Sentinel uses full-article LLM analysis to detect sarcasm, irony, backhanded compliments, and hedged criticism - especially critical for Arabic media where sarcasm patterns differ from English.

Not all Arabic media is the same. The dialectal sentiment map breaks down sentiment by regional dialect - Gulf, Egyptian, Levantine, and Maghrebi - showing how perception of your entity differs across the Arab world. Uses AraBERT preprocessing with alef normalization and diacritics handling for each dialect.

Set threshold-based alerts for coverage volume spikes, sudden sentiment shifts, new narrative emergence, or specific keyword mentions. Alerts are delivered via email and in-app notification center. Configure severity levels, quiet hours, and per-entity rules.

For time-sensitive situations, receive critical alerts via WhatsApp (primary channel) with SMS fallback. Ideal for crisis detection, major sentiment shifts, or high-priority coverage spikes. Configurable per alert rule - choose which alerts warrant SMS delivery vs. email-only.

Automated weekly reports summarizing coverage trends, sentiment shifts, top narratives, and key metrics per entity. AI-generated with source citations - not templated summaries. Available as white-label branded PDFs with your logo and colors, ready to forward to clients or stakeholders.

AI-generated executive intelligence briefings powered by RAG (Retrieval-Augmented Generation). Each briefing synthesizes coverage trends, emerging narratives, sentiment shifts, and key events - with source citations linking to original articles. Generated in your UI language preference (English, Arabic, or French), delivered on your schedule (daily, weekly, or on-demand).

Google Trends data overlays on your coverage timeline charts, showing how public search interest correlates with media coverage. When a coverage spike is detected, Sentinel checks if Google Trends also shows elevated interest - adding a confidence signal to spike attribution.

When coverage exceeds 2x the rolling average, Sentinel's LLM analyzes the spike window to identify: the trigger event that started it, the origin source (first-mover article), the narrative thread connecting articles, and related entities involved. Spike markers appear on timeline charts with clickable analysis cards.

Compare any 2+ entities within your tenant's cap side-by-side. Comparison View shows share of voice (who's getting more coverage), sentiment overlay (who's perceived more positively), narrative overlap (are they mentioned in the same stories), and outlet overlap (which outlets cover both). Essential for competitive benchmarking and campaign measurement.

Identifies which media outlets consistently lean positive, negative, or neutral on your entity. Goes beyond simple sentiment averages - Sentinel's LLM analyzes framing, word choice, and headline tone to map outlet-level bias, so you know which outlets shape your coverage and how.

Sentinel detects distinct narratives in your coverage and tracks them through lifecycle phases: emergence (story first appears), growth (gaining traction), peak (maximum coverage), decay (fading), and resurgence (re-emerging). Each narrative is labeled, assigned a phase, and linked across Arabic, English, and French coverage via multilingual embeddings.

Tracks the momentum of each narrative: velocity (how fast coverage is moving) and acceleration (whether it's speeding up or fading). Tells you whether a story is building or losing steam right now, with a natural-language read on what's driving the shift. Shown as momentum indicators on narrative cards.

Traces how a story spread: who published it first (the origin), who amplified it, and who reframed it with a different angle. Surfaced inline on each narrative so you can see your most influential coverage drivers and how a story propagated across MENA media.

When a crisis hits, activate the War Room for real-time monitoring with a 2-minute processing cycle (vs. the standard 15-minute pipeline). Dedicated live article feed with real-time sentiment tracking, narrative evolution, and multi-channel alert escalation. Track coverage to the nearest minute. Auto-generates post-crisis summary reports.

Integrate Sentinel alerts and intelligence directly into your workflows. Push notifications to Slack channels for team-wide visibility, or use webhooks to connect to any system - CRM, project management, custom dashboards, or internal tools. Configure which alert types and severity levels trigger each integration.