Khoros
Khoros separates its offering into two products: Aurora AI, a community platform with CommunityGuard for automated moderation and AI-native self-service deflection, and Iris AI, a social intelligence layer that listens across billions of sources in 187 languages and routes engagements with response recommendations. Cross-channel social content generation and scheduling are included alongside community management, allowing a single platform to cover both owned community and external social channels. The platform is positioned for enterprise brands in financial services, retail, telecommunications, technology, and travel hospitality. Khoros supplements the software with Product Coaching sessions and a Training and Certification program, which reduces the dependency on vendor documentation for agency teams building repeatable delivery practices.
Khoros is a social listening insight platform. InnovaAI rates it 2.9 of 10 for agency resale.
Agency Audit
Khoros combines community management, social listening, and AI-native moderation across 187 languages in a single platform, targeting enterprise brands and social media agencies managing large customer communities. Aurora AI automates moderation and routes engagements intelligently, while Iris AI surfaces actionable insights from billions of social mentions. For agencies, Khoros fits best as a white-label retainer for clients with established communities or high-volume social presence, but the platform's enterprise positioning and custom pricing mean smaller clients may not justify the cost.
2.9/10
Depends on volume
2d 1 to 2 days
- Your clients operate large customer communities (forums, brand communities, or social channels) and need AI-powered moderation to reduce manual review overhead.
- You serve financial services, retail, telecom, or travel/hospitality verticals where Khoros has documented industry solutions.
- You want to bundle social listening (187-language mention tracking) with community management in a single platform rather than maintaining separate tools.
- Your clients are SMBs or startups with small budgets; Khoros is positioned for enterprise and does not publish transparent per-seat pricing.
- You need a quick, self-service onboarding flow; Khoros requires vendor-led setup and product coaching sessions.
- Your clients use primarily email or SMS for customer engagement and have minimal social or community presence.
Profit Path
Contact for quote
$1K–$3K/project
Setup Fee
Planning benchmark at United States price levels. Not a measured market survey.
Platform Features
Core capabilities of Khoros
Aurora AI Community Platform
Aurora AI hosts and manages branded customer communities, enabling agencies to build self-service support destinations that deflect inbound tickets. The CommunityGuard module handles automated moderation, reducing manual review overhead for agency community managers.
Iris AI Social Intelligence
Iris AI listens to social mentions across billions of sources in 187 languages, then surfaces actionable insights from that data. Agencies can use this for competitive benchmarking, brand health reporting, and crisis detection across multilingual client audiences.
CommunityGuard Automated Moderation
CommunityGuard applies AI-native moderation rules to community content, flagging or removing policy-violating posts without requiring constant human review. This is particularly relevant for agencies managing high-volume brand communities in regulated industries like financial services.
Cross-Channel Social Publishing
Khoros generates social media content and schedules it for cross-channel publishing from a single workspace. Agencies running content retainers can manage multi-brand publishing calendars without switching between platform-native tools.
Intelligent Engagement Routing
Incoming social and community engagements are routed automatically, with the platform recommending responses to reduce agent handling time. For agencies managing social care on behalf of clients, this reduces the headcount required to maintain response SLAs.
AI-Native Self-Service Deflection
Khoros routes customers toward community-based self-service answers before they reach a live support queue, measurably reducing ticket volume. Agencies can report deflection rates as a concrete ROI metric in client-facing performance reviews.
What Makes Khoros Different
Unique advantages vs similar tools in this niche
Unified AI-native community and social platform
vs Separate community (e.g., Vanilla) and social tools (e.g., Sprout Social)Khoros combines community management and social media management into one AI-native platform with shared intelligence.
20 years of enterprise community data training AI
vs Newer AI tools without historical customer conversation dataKhoros has powered over 4,000 communities since 2001, providing a rich dataset for AI models.
Social listening in 187 languages
vs Competitors limited to fewer languagesIris AI monitors social mentions across billions of sources in 187 languages.
Latest Updates
Recent releases and improvements for Khoros
Proactive & Intuitive
NewUsage data analysis targets personalized needs. Coaches initiate outreach when features aren’t being utilized, so you get help before you even know you need it.
Efficient & Hands-On
NewSessions are conducted 1-on-1 or in small groups via Zoom with live screen-sharing. Complete real work during sessions in a hands-on learning environment.
What our customers say
New“Khoros routinely offers Product Coaching sessions and we learn how to effectively use new elements of the platform while also forming meaningful, lasting relationships with Khoros team members.” National Director of Brand Services
Khoros Professional Services
NewDeploy the Khoros platform across your business with unmatched implementation experience and expertise.
Khoros Strategic Services
NewExpert focus on online communities, social media, and customer service strategy to drive long-term success.
Value Equation
Outcome-likelihood-time-effort assessment for Khoros
Value math requires real pricing
The Value Equation (dream outcome × likelihood ÷ time × effort) feeds directly into ROI math. Khoros has no published pricing, so we hold this section until real numbers are available.
Contact KhorosPricing
Platform cost for Khoros
Custom pricing
Khoros uses custom/enterprise pricing: rates aren't published publicly. Contact their team directly for a quote.
Contact KhorosMarket Intelligence
Offer + scale economics for Khoros
Offer economics require real pricing
Offer economics, scale projections, and margin potential all depend on Khoros's actual platform cost. Once pricing is published or shared with your agency, we'll compute the full breakdown here.
Contact KhorosInvestment Decision Framework
Strategic vetting analysis for Khoros
Skip
Weak agency-resell fit
Buy If
5You can commit to enterprise-level contracts and have clients with budgets that support custom pricing models.
Your clients operate large customer communities (forums, brand communities, or social channels) and need AI-powered moderation to reduce manual review overhead.
You serve financial services, retail, telecom, or travel/hospitality verticals where Khoros has documented industry solutions.
You want to bundle social listening (187-language mention tracking) with community management in a single platform rather than maintaining separate tools.
Your clients need multi-language support and you currently manage communities across global markets.
Skip If
5Your clients are SMBs or startups with small budgets; Khoros is positioned for enterprise and does not publish transparent per-seat pricing.
You need a quick, self-service onboarding flow; Khoros requires vendor-led setup and product coaching sessions.
Your clients use primarily email or SMS for customer engagement and have minimal social or community presence.
You require transparent, predictable monthly pricing to build retainer models; custom enterprise pricing makes margin forecasting difficult.
Your clients need HIPAA compliance; the content does not confirm HIPAA certification, only SOC2 and other trust standards.
Bottom Line
Khoros combines community management, social listening, and AI-native moderation across 187 languages in a single platform, targeting enterprise brands and social media agencies managing large customer communities. Aurora AI automates moderation and routes engagements intelligently, while Iris AI surfaces actionable insights from billions of social mentions. For agencies, Khoros fits best as a white-label retainer for clients with established communities or high-volume social presence, but the platform's enterprise positioning and custom pricing mean smaller clients may not justify the cost.
Reality Check
Khoros pricing is custom and enterprise-focused, making it difficult to predict per-client MRR or build predictable retainer margins for mid-market clients. Setup and onboarding require vendor involvement, which can slow time-to-value and limit your ability to rapidly scale client deployments.
High effort: requires technical configuration and team training
Academy for Khoros
Work through it in order: the course for this service first, then the modules behind it.
No Academy modules are published for this service yet. Browse the full Academy
Why this category matters
The commercial case before the tooling.
Core concepts
The mental model you need to price and scope the work.
- Escalation Cost FloorConcept
Escalation Cost Floor is the minimum monthly retainer a listening engagement can carry once you price the response obligation, not the monitoring. Coverage and query volume are the cheap half: a platform watching 25 million sources or 13 billion pages daily costs roughly the same whether anyone reads the output or not. The expensive half is what happens when a negative mention lands at 2am and a client expects a human to triage, draft, and route it before their morning standup. That obligation sets a floor below which the retainer cannot go, because analyst hours and on-call coverage do not scale down with mention volume. Agencies that quote on dashboard seats rather than escalation cadence routinely sign retainers that lose money on the first real incident. Price the review rhythm the client receives, and treat the monitoring subscription as an input cost inside that number.
- Interpretation Margin LayerConcept
Interpretation Margin Layer is the gap between what a listening platform surfaces and what a client can act on, and that gap is where agency revenue actually lives. Mention counts, sentiment scores, and share-of-voice percentages are commodity outputs any subscription produces; the defensible layer is the analyst who reads a spike, separates signal from bot noise, and writes the response plan. Price the retainer against the review cadence and decision output, not against source coverage. A concrete illustration: Instagram averages 4.2% engagement across 13 industries in 2026, a benchmark that means nothing until an analyst maps a client's account against it and recommends a cadence change. Platforms such as YouScan, Brandwatch, and Awario all surface the raw data; the margin sits in the interpretation step, which is why agencies that sell dashboards alone compete on price while those selling quarterly decision reviews hold rate.
- Interpretation Margin SplitConcept
Interpretation Margin Split is the practice of pricing social listening work by the analyst hours required to turn raw mentions into a client decision, not by the volume of mentions or dashboard seats delivered. Coverage breadth, query quality, sampling limits, and language support all determine how many hours a human must spend filtering noise before a client sees anything usable. An agency that quotes a flat monitoring retainer without modeling that labor absorbs the difference. A concrete example: a TikTok-first brand needs visual and sentiment analysis that general platforms handle poorly, which is why a dedicated tool such as Exolyt exists for that single channel, while a multi-market client may need YouScan's image and logo detection to cut manual review time. The framework forces agencies to separate platform subscription cost from interpretation cost, then price the second line explicitly. Clients buy the decision and the review cadence, so the retainer should reflect the analyst time behind both.
Decision and risk
How to judge the fit, and the ways it goes wrong.
- Social Listening Rule: Price the Review Cadence, Not the Dashboard SeatEvaluation Rule
Scope the retainer around the decisions and review cadence the client receives, and price analyst interpretation, escalation coverage, and query maintenance as line items separate from platform access.
- Social Listening Rule: Match Source Coverage to the Decision, Not the Mention CountEvaluation Rule
Choose the platform whose coverage and sampling match the client's decision surface, then price the analyst review that turns those mentions into a recommendation.
- Listening Seat vs Insight Retainer: Social Listening Decision FrameDecision Framework
IF the client's stated need is dashboard access, mention alerts, and a monthly export, THEN sell a listening seat priced against platform cost plus a small analyst margin. IF the client's decisions depend on interpretation (crisis escalation, share-of-voice shifts, competitor moves, launch timing), THEN sell an insight retainer priced on review cadence and analyst hours, with the platform as an input cost rather than the deliverable.
- The Mention-Volume Trap: Why Social Listening Deliverables Stall After the First Client ReadoutFailure Pattern
- The Dashboard Handoff Trap: Why Social Listening Retainers Collapse at Month ThreeFailure Pattern
Delivery system
Blueprints and procedures for running it as a service.
- Brand Intelligence Retainer Build (10-14 days)Implementation Blueprint
A productized social listening and insights offer that turns raw mention streams into a monthly decision cadence for client leadership, priced on analyst interpretation and response planning rather than dashboard seats.
- Query Architecture Review (Onboarding)Operating Procedure
- Escalation Triage Protocol (Delivery)Operating Procedure
- Signal-to-Decision Briefing (Retention)Operating Procedure
13 modules selected for Khoros
Frequently Asked Questions
Answers about pricing, setup, implementation, and more
Khoros provides two enterprise-grade products: Aurora AI, which powers branded customer communities with automated moderation and self-service ticket deflection, and Iris AI, which listens to social mentions across billions of sources in 187 languages and extracts actionable insights. Together, they allow agencies to orchestrate customer conversations, schedule cross-channel social content, and route engagements intelligently across community and social channels.
Khoros does not publish standard pricing tiers. All plans are custom-quoted through direct sales contact. Agencies should initiate a conversation via the Khoros website to receive scoped pricing for Aurora AI, Iris AI, or a combined deployment.
No verified white-label program is documented in available Khoros materials. Agencies considering Khoros for client-facing deployments should confirm directly with Khoros whether custom branding or white-label portal options are available before committing to a client engagement.
Khoros provides a Developer Portal for custom integrations, suggesting API-level access is available. Specific named integrations with tools like Salesforce, HubSpot, or Slack are not confirmed in available documentation, so agencies should verify compatibility with their existing stack during the sales process.
Khoros does not publish a self-serve setup timeline. Given the enterprise positioning and the structured onboarding model that includes Product Coaching sessions, agencies should expect a guided implementation process rather than a same-day configuration. Actual timelines should be confirmed during the sales engagement.
Khoros has built dedicated solutions for financial services firms, retail and distribution brands, telecommunications providers, technology companies, and travel and hospitality operators. Agencies whose client roster concentrates in these verticals will find the most relevant case studies, platform templates, and industry-specific guidance from the Khoros team.
Yes. Iris AI monitors social mentions across billions of sources in 187 languages, making it applicable for agencies managing global or multilingual brand accounts. Insights are surfaced from this data to support reporting and strategic recommendations across language markets.
Khoros offers Training and Certification programs, structured Product Coaching sessions, a Developer Portal, and a dedicated Support Portal. AAA's National Director of Brand Services noted that Product Coaching sessions helped their team learn new platform elements while building direct relationships with Khoros staff, which suggests meaningful post-sale enablement rather than documentation-only support.