Orviora finds the conversations where your product fits, drafts on-brand replies, runs your content calendar, and helps your team prospect leads. You review. The platform handles the rest.
Discover
Find conversations
Score
Rank by intent
Draft
Generate replies
Review
Human approval
Publish
Post to platforms
Track
Measure results
No long onboarding wizard. The platform reads your site, picks up your voice, and starts working before you finish your coffee.
Paste your URL on signup. The crawler maps your features, the problems you solve, your customer language, and your competitors. Usually finishes in under two minutes.
Toggle the channels you care about: Reddit, X, LinkedIn, Hacker News, dev.to, GitHub Discussions, ProductHunt. We don't waste cycles on places you don't sell.
By the time you land on the dashboard, the discovery engine has surfaced the first conversations and drafted on-brand replies for the high-intent ones. You review.
Approve a draft and it publishes. Set a schedule and it queues itself. Switch on auto-pilot for the routine work, and stay in the loop on anything high-stakes.
Conversations happen 24/7
High-intent discussions across Reddit, X, Hacker News, and dev.to. You're missing most of them.
Finding intent is a needle in a haystack
Keyword monitoring catches noise. You need AI that understands pain signals, buying intent, and viral momentum.
Content creation is inconsistent
Writing thoughtful, on-brand replies for every opportunity is exhausting. Quality drops as volume grows.
Published replies go unmonitored
You post a reply, someone responds, and the conversation dies. Mentions of your brand go unanswered.
Automated multi-platform discovery
Monitor 8+ platforms for keyword matches every 15 minutes, around the clock.
AI scoring with pain & intent detection
Every post scored automatically on relevance, pain signals, purchase intent, viral momentum, and spam.
Brand-aware content generation
AI generates on-brand replies using your voice, knowledge graph, and competitor context. Human approval before publishing.
Automated mention monitoring & follow-ups
Track inbound mentions and conversation threads automatically. AI triages, prioritizes, and drafts follow-up replies.
Six stages, from finding a conversation to learning what resonated. Each cycle feeds the next.
Monitor Reddit, X, Hacker News, dev.to, RSS feeds, GitHub Discussions, ProductHunt, and community platforms. Keyword-based discovery runs every 15 minutes with automatic deduplication and negative keyword filtering.
Multi-signal scoring evaluates relevance, pain signals, purchase intent, engagement potential, and viral momentum. Low-quality posts are auto-dismissed.
Brand-aware generation uses your voice guidelines, knowledge graph, and SERP-enriched competitor context to craft platform-optimized replies, posts, and long-form SEO articles.
Approved content is published to X, Reddit, LinkedIn, WordPress, dev.to, GitHub Discussions, and community platforms, either immediately or on schedule. Full audit trail.
Track inbound mentions, manage conversation threads, and respond to follow-ups with AI assistance. Conversation policies automate escalation and routing.
Track engagement across topics, channels, and content styles. Insights feed back into generation so replies improve over time.
Most "AI marketing" tools wrap a chat box around an LLM. Orviora runs two specialised engines continuously, with an orchestrator that keeps them aligned to your goals.
Orchestrator
Coordinates both engines, applies your brand voice and tier limits, and routes work through the review queue.
Joins the conversation, on-brand
Takes a published piece of yours (a blog post, a launch, a feature) and finds the threads where it would actually be useful. Drafts a contextual reply, you review, it publishes. Link-insertion safety rules keep it from feeling spammy.
Turns keywords into long-form content
Picks up your keyword and topic clusters, drafts long-form articles in six formats (comparison, listicle, how-to, Q&A, problem-solution, glossary), and enriches them with SERP research so the content ranks and doesn't hallucinate.
Nine modules covering the full lifecycle, from finding conversations to learning what works.
Multi-platform monitoring surfaces opportunities you'd never find manually.
Scan Reddit, X, Hacker News, dev.to, RSS, GitHub Discussions, ProductHunt, and community platforms simultaneously.
Positive and negative keyword sets with smart suggestions. Bulk import and performance tracking.
Dedicated view for posts with strong purchase intent, recommendation requests, and buying signals.
Connect community platforms like Bettermode as discovery sources. Monitor trending discussions and engage natively.
Posts are ranked on multiple signals. Replies are drafted using your brand voice and a knowledge graph built from your own content.
Pain detection, purchase intent, viral momentum, spam filtering, and engagement potential. Every signal rolls up into one composite score.
AI-built semantic map of features, problems, topics, use cases, and competitors extracted from discovered posts.
Content that matches your voice, tone, and style. Per-profile personas with custom tone, goals, CTAs, and reply strategies.
Full prompt control. Customize every AI prompt from the admin panel to match your brand voice and strategy.
Inbound mention monitoring, conversation follow-ups, and competitor tracking in one place.
Automated inbound mention monitoring with AI classification. Review AI-drafted replies before publishing, with full decision audit trail.
Thread-based follow-up management with priority levels, sentiment analysis, and AI-suggested replies.
Track competitors, monitor their social mentions, compare strengths, and generate competitive response ideas.
Content queue, campaign calendars, scheduling, and team approval in one workflow.
Drafts, scheduled entries, blog ideas, and AI strategies in one hub. Approve, reject, regenerate, or edit with version history.
Plan content campaigns with goals, timelines, and visual calendar with month/week/day views.
Recurring schedules, event-triggered posts, and review gates before publishing. Full automation with human control.
Generate multiple content variants and compare performance. A/B testing for replies and posts with automatic quality scoring.
Performance dashboards, funnel breakdowns, and a credits dashboard so nothing is a black box.
KPIs, daily trends, platform breakdowns, and action-required alerts in a single view.
Track opportunities from discovery through scoring, generation, and publishing. Identify bottlenecks.
Per-action credit cost shown up-front, with a workspace-wide breakdown of what each AI action consumed. No surprise bills.
Configurable alert triggers delivered via email or Slack. Get notified instantly when high-value opportunities appear.
Batch operations, pipeline management, and a memory layer that feeds learnings back into generation.
Define reusable policies for bulk content actions. Execute across filtered opportunity sets with full audit trails.
Monitor discovery, scoring, drafting, and publishing pipelines. Track job status, diagnose errors, and retry failures.
Tracks topic trends, feature resonance, channel performance, and content styles. AI insights feed into future generation.
Discover keywords, cluster topics, and generate long-form articles enriched with real SERP data.
Discover keywords, cluster by topic, and generate long-form articles automatically. Six content types: comparison, listicle, how-to, Q&A, problem-solution, and glossary.
Automatic competitor research via Brave Search before generation. Anti-fabrication rules ensure comparison articles reference real competitors, not hallucinated ones.
Customizable templates per content type with cloning support. Control structure, tone, and differentiation rules for every article.
A chat widget that captures leads, answers questions, and routes conversations. Backed by your knowledge graph.
Drop a widget on any page. Supports multiple conversations, custom welcome messages, and brand-matched styling.
Automatically create leads from widget conversations. Feed prospects into your outbound pipeline for follow-up.
Configure chat tone per widget: support, sales, marketing, or knowledge base. AI draws from your knowledge graph for accurate answers.
Lead Finder, sequences, shared inbox, manual tasks, and contact-source plug-ins (Apollo, PDL, LinkedIn CSV). The prospecting workflow your sales team would otherwise stitch together from three tools.
Discover prospects by ideal customer profile. Pull from Apollo, PeopleDataLabs, or LinkedIn CSV imports. Credit-metered so you only pay for what you use.
Multi-step email + DM sequences with AI-generated openers that pull from each lead's profile. Subject-line A/B, branch logic, and warm-fallback static copy when budget is tight.
All replies land in a team inbox. Snooze, assign, and reply with smart-reply suggestions. Manual tasks for one-off touches that don't fit a sequence.
Open / reply / conversion rates by sequence, lead status tracking, and a full execution history so you can debug a bad send or audit a campaign.
Pick a goal, set a tone, walk away. The auto-pilot scores every opportunity hot, warm, or cold and only spends your AI budget on the ones likely to convert. Review gates and rollback safety on every action.
Brand Awareness, Thought Leadership, Lead Generation, Feature Promotion, Community Growth, Competitor Response. Each goal has its own scoring weights and content templates.
Every opportunity gets a quality score. The auto-pilot publishes Hot automatically, queues Warm for review, and ignores Cold. Your AI budget goes where it matters.
Every auto-published action is logged with a one-click rollback. If something gets through that shouldn't have, you can pull it back and the system learns from the correction.
Threads from X, Reddit, LinkedIn, and your widget all land in one inbox with priority, sentiment, and follow-up timing. Configure policies once (heuristic, LLM, or hybrid analysis) and the system handles routing.
Open / Waiting / Followup-Due / Resolved status across every platform. Sort by priority and intent so you triage fastest first.
Configure how long to wait before nudging, when to escalate, and whether to auto-reply with a draft. Three analysis modes: Heuristic (keyword-based), LLM (semantic), or Hybrid.
Each thread surfaces sentiment and high-intent signals (purchase questions, comparison requests, complaints) so your team responds with the right tone.
Have multi-turn conversations with an AI that knows your brand, products, competitors, and performance data. Get strategic advice, content ideas, and competitive analysis instantly.
Based on your Growth Memory data, here are the top 3 topics this month:
I recommend doubling down on API performance content. The pain signals are strongest there.
Most tools handle one piece. Orviora covers the full loop.
Discovery, content, publishing, mention monitoring, SEO articles. One pipeline, one workspace, one bill.
AI does the heavy lifting, but humans approve everything before publishing. No embarrassing automated replies.
Unified workflow across X, Reddit, Hacker News, dev.to, GitHub Discussions, and more. Discover on 8 platforms, publish to 7 including LinkedIn and WordPress.
The platform gets smarter over time. It learns your domain, tracks what works, and improves recommendations continuously.
Detects genuine pain points and buying signals in conversations, not just keyword hits.
Every AI action shows its credit cost up-front, and the Credits dashboard breaks down spend per action. No surprise bills.
Three orchestrated engines (Demand, Distribution, SEO) detect signals, route content, and generate SERP-enriched articles at scale.
Browse a live feed of conversations where your product could be the answer. No sign-up required.
View Live OpportunitiesMost teams cobble this together from three or four tools. Here's an honest feature comparison. Pricing reflects each vendor's published rates as of Q2 2026.
| Capability | Orviora | Hootsuite | Buffer | Apollo | HubSpot |
|---|---|---|---|---|---|
| Multi-platform discovery (Reddit, X, HN, dev.to, etc.) | – | – | – | – | |
| AI-drafted replies with brand voice | Limited | Limited | – | – | |
| Auto-pilot with hot/warm/cold scoring | – | – | – | – | |
| Outbound prospecting (Lead Finder + sequences) | – | – | |||
| Long-form SEO content generation | – | – | – | Limited | |
| Post scheduling across platforms | – | ||||
| Knowledge graph from your site | – | – | – | – | |
| Embeddable customer chat widget | – | – | – | ||
| Per-action credit cost visible before you click | – | – | – | – |
Comparison reflects features advertised on each vendor's site. “Limited” means partial coverage: for example, AI assist for replies but no brand-voice training.
Start free with a 7-day Growth trial. No credit card required. Upgrade when you're ready.
Explore the platform. Discover opportunities and try AI-drafted replies.
billed yearly ($468)
Essential tools for solo creators: mentions, calendar, and scheduling.
billed yearly ($1,788)
The full team toolkit: batch ops, conversations, advanced analytics, and more.
For teams that need custom limits, compliance controls, and their own AI provider keys.
Different teams, same problem: valuable conversations are happening without you.
People are discussing the exact problem your product solves right now, on Reddit or X. Orviora finds those threads and helps you show up with a helpful, on-brand reply.
Discovery + reply in one workflow
Run multi-platform campaigns with shared content calendars, team approvals, and batch operations. Track what's working across channels without juggling five dashboards.
Calendar, approvals, and analytics
You'd rather be building than scrolling. Orviora monitors your niche across platforms and drafts replies when someone asks for exactly what you're making.
Spend time on product, not socials
Monitor GitHub Discussions, dev.to, Hacker News, and ProductHunt in one feed. Generate technically accurate responses grounded in your docs and knowledge graph.
Developer communities, covered
Start with the free plan. Set up your first keyword set in under five minutes. See what you've been missing.
