AI ToolSocial Listening Insights

Overhear

Overhear is a keyword-based social listening tool that searches X, Reddit, LinkedIn, YouTube, Hacker News, and the web on a configurable schedule, labeling each mention by type (buying intent, complaint, bug report, question, praise).

Overhear is a keyword-based social listening tool. InnovaAI rates it 5.1 of 10 for agency resale.

Consider5.1/10

Agency Audit

Overhear monitors brand, competitor, and product mentions across X, Reddit, LinkedIn, YouTube, Hacker News, and the web on a configurable schedule, labeling each mention by type (buying intent, complaint, bug report, question, praise). It charges per scan using prepaid credits rather than subscriptions, making it cost-transparent for agencies reselling to clients. Best suited for small marketing agencies, brand managers, and competitive intelligence teams who need scheduled listening without monthly commitments. The credit model works well for variable-volume clients, but requires agencies to manage billing infrastructure and educate clients on credit consumption patterns.

ConsiderNo WLUsage Based
Fit

5.1/10

Typical Margin

Depends on volume

Time-to-Value

2d 1 to 2 days

Complexity
Low
Consider
Fit51
Visit Overhear
Best For
  • Your clients need competitive intelligence on Reddit or Hacker News specifically, where Overhear scans hourly and daily respectively.
  • You want to resell a listening tool without monthly subscription overhead, since Overhear's credit model lets you charge clients only for scans they use.
  • Your clients are SaaS makers or indie founders who need to monitor buying-intent posts and draft replies, a core use case Overhear supports.
Not For
  • You need white-label client portals with your agency branding, since Overhear does not offer a verified white-label program.
  • Your clients require a fixed monthly cost for budgeting, because Overhear's prepaid credit model means costs vary with scan frequency and keyword count.
  • You need integrations with HubSpot, Salesforce, or other CRM platforms, as Overhear does not publish native integrations to those systems.

Profit Path

Your Cost (rate)

$10.00–$50.00 / per credit pack (6,000 credits)

Market Range

$1K–$3K/project

Revenue Model

Usage-Based

Planning benchmark at United States price levels. Not a measured market survey.

Platform Features

Core capabilities of Overhear

Scheduled cross-platform scanning

Monitors X, Reddit, LinkedIn, YouTube, Hacker News, and the open web at configurable intervals (X and Reddit hourly, LinkedIn every six hours, YouTube and web daily). Agencies can set different cadences per keyword and run manual scans on demand, so clients only pay for the monitoring frequency they need.

Mention labeling by intent type

Automatically categorizes each mention as buying intent, complaint, bug report, question, praise, or other. Agencies can surface high-priority mentions (buying intent, complaints) to clients without manual triage, reducing time spent sorting noise.

Competitor and brand tracking

Finds mentions of competitor products and surfaces posts where users ask for alternatives or report complaints. Agencies can use this to identify churn risk signals and competitive positioning gaps for client strategy.

Per-scan cost receipts

Each scan generates an itemized receipt showing which sources were queried, how many mentions were found, and the exact credit cost. Agencies can show clients transparent billing and justify monitoring spend.

AI-assisted reply drafting

Generates question answers across four assistants weekly, helping agencies draft responses to customer inquiries found in mentions. Reduces manual response time for client support and community management workflows.

Prepaid credit model

No subscription lock-in; agencies purchase credits in packs (6,000 for $10 USD, 16,000 for $25 USD, 35,000 for $50 USD) and consume them per scan. Unused credits are refundable within 14 days, so agencies can test with clients risk-free.

What Makes Overhear Different

Unique advantages vs similar tools in this niche

Prepaid credit model with per-scan receipts

vs Subscription listening tools like Stalkr with keyword allowances

Credits never expire and each scan shows its exact credit cost and duration.

AI labeling of mention intent

vs Raw keyword alert feeds

Every mention gets one label so buying-intent and complaint posts surface first.

Self-hostable Rust app

vs Closed SaaS-only listening platforms

Run it yourself with no credits, showing real cost of every search and model call.

Latest Updates

Recent releases and improvements for Overhear

Overhear learns what's not about you

Improvement2026-10-21

Not related and Related now teach the classifier for future scans. Switch keywords between Brand and Competitor. Filter the feed by keyword.

Pick how often each source is searched

Improvement2026-10-20

Each keyword now has its own per-source scan frequency setting (hourly, every 6 hours, daily or off). Keywords moved to their own sidebar tab. Prices now exclude tax; VAT ID support for EU and UK businesses. New blog launched.

Investment ROI Calculator

Value equation analysis for Overhear, based on the Hormozi framework

What is the Hormozi framework? A four-factor score: (what the service delivers × how reliably it delivers) divided by (how long it takes × how much effort it requires). A higher Value Multiplier means a better return on the time and money invested: faster, easier, and more proven results.

Value MultiplierStrong

Overhear scores 2.1× on the value equation, weighing client outcome and likelihood against the time and effort to deliver.

Outcome25
÷
Friction12

Why This Succeeds

Higher is better

Implementation Challenges

Lower is better

Viable opportunity. Overhear returns 2.1× on investment. Focus on the highest-margin service packages to maximize return.

Best if:Your clients need competitive intelligence on Reddit or Hacker News specifically, where Overhear scans hourly and daily respectively.You want to resell a listening tool without monthly subscription overhead, since Overhear's credit model lets you charge clients only for scans they use.Your clients are SaaS makers or indie founders who need to monitor buying-intent posts and draft replies, a core use case Overhear supports.You need per-scan cost receipts to show clients exactly what each monitoring run costs, which Overhear provides in its usage dashboard.You manage multiple brands and want to run keyword scans at different intervals (X and Reddit hourly, LinkedIn every six hours, YouTube and web daily).

Pricing

Overhear platform cost to your agency

Add-ons

Optional extras priced on top of any main plan

Add-on: credit pack (6,000 credits)
$10
Add-on: credit pack (16,000 credits, +1,000 bonus credits)
$25
Add-on: credit pack (35,000 credits, +5,000 bonus credits)
$50

No verified white-label program for Overhear: client-facing delivery runs under the platform's native branding.

Market Intelligence

How agencies monetize Overhear: real offer economics and market positioning

Service Applications
Reputation & ReviewsLead GenerationSocial MediaSEO & ContentReporting & Analytics
Best For
  • Solo founders and indie SaaS makers
  • Small marketing agencies
  • Brand and reputation managers
Not Ideal For
  • Agencies needing deep multi-client dashboards
  • Enterprises requiring SSO and compliance tooling

Project-Based

ai-tools

Agency charges per-project fee for implementation. Ongoing optimization as optional retainer.

Custom / Enterprise Pricing

Overhear does not publish fixed tier pricing. The offer economics below use agency benchmarks: margins are indicative, and your actual margin depends on the platform rate you negotiate with the vendor.

Request pricing from Overhear

Offer Economics: What You Charge vs. What It Costs

Margin includes platform cost + agency labor at $75/hr. Tool cost estimated from vendor category benchmarks.

Overhear Local Brand Monitorlocal smb

Local SMB owners (restaurants, clinics, retail shops) wanting to track brand mentions and reviews across X, Reddit, and the web (Volume-dependent, confirm usage estimate with client)

$1.5K
Tool: Contact vendorLabor: 16h setup × $75 = $1.2KMargin: pending tool quoteBenchmark: $1K–$3K/project
• Configure Overhear keyword scans for brand name, competitors, and 3 core topics across relevant channels• Build a categorized mention report template segmented by mention type and sentiment• Set up a scheduled scan cadence and deliver a 30-day baseline mention audit• Document a handoff playbook so the client can interpret and act on weekly scan results
Overhear Growth Listening Setupgrowth smb

Funded startups and regional brands (10–50 employees) needing structured social listening across X, Reddit, LinkedIn, and Hacker News to inform content and GTM strategy (Volume-dependent, confirm usage estimate with client)

$4.5K
Tool: Contact vendorLabor: 40h setup × $75 = $3KMargin: pending tool quoteBenchmark: $3K–$8K/project
• Configure multi-channel Overhear scans covering brand, product, competitor, and industry keywords across 4+ platforms• Build a labeled mention dashboard mapping scan outputs to content opportunity and risk categories• Integrate scan exports into the client's existing Slack or Notion workflow for team visibility• Deliver a 60-day listening strategy document with recommended keyword refinements and scan frequency
Overhear Mid-Market Intelligencemid market

Mid-market companies (50–500 employees) requiring ongoing competitive and brand intelligence across all Overhear-supported channels to feed marketing, PR, and product teams (Volume-dependent, confirm usage estimate with client)

$12K
Tool: Contact vendorLabor: 80h setup × $75 = $6KMargin: pending tool quoteBenchmark: $8K–$25K/project
• Configure comprehensive Overhear scan sets covering brand, 5+ competitors, industry trends, and executive mentions across X, Reddit, LinkedIn, YouTube, Hacker News, and web• Build a structured intelligence reporting framework with mention-type labels mapped to business functions (PR, product, sales)• Integrate scan data exports into the client's BI tool or CRM for cross-team consumption• Train internal stakeholders on scan management, credit budgeting, and keyword iteration workflows
Overhear Enterprise Signal Programenterprise

Enterprise brands (500+ employees) needing a fully operationalized social listening program with multi-team access, competitive war-room reporting, and executive-level insight delivery (Volume-dependent, confirm usage estimate with client)

$35K
Tool: Contact vendorLabor: 160h setup × $75 = $12KMargin: pending tool quoteBenchmark: $25K–$75K/project
• Architect and configure a full Overhear scan library covering brand portfolio, executive names, 10+ competitors, regulatory topics, and crisis trigger keywords across all supported channels• Build executive-ready intelligence briefing templates with automated export pipelines into the client's data stack or reporting environment• Integrate mention data with existing PR, product, and sales tooling via structured exports and documented API-adjacent workflows• Deliver a governance playbook covering credit allocation strategy, scan ownership by department, escalation protocols, and quarterly keyword review cadence

Scale Economics: Based on Starter Offer

Using Overhear Local Brand Monitor at $1.5K/client. Platform: TBD (contact vendor). Labor: 4h/client × $75/hr.

5 clients
$7.5K
MRR
Net: pending platform cost
10 clients
$15K
MRR
Net: pending platform cost
20 clients
$30K
MRR
Net: pending platform cost

Net = MRR - platform cost - labor (4h/client × $75/hr).

Investment Decision Framework

Strategic vetting analysis for Overhear

Vetting Verdict

Consider

Favorable fit, worth a closer look

Agency Fit(white-label + resell pathway)
51/100
0255075100
Resell Friction(WL + mode + complexity)
60/100
0255075100

Buy If

5
OPERATIONAL FIT

Your clients need competitive intelligence on Reddit or Hacker News specifically, where Overhear scans hourly and daily respectively.

OPERATIONAL FIT

You want to resell a listening tool without monthly subscription overhead, since Overhear's credit model lets you charge clients only for scans they use.

OPERATIONAL FIT

Your clients are SaaS makers or indie founders who need to monitor buying-intent posts and draft replies, a core use case Overhear supports.

OPERATIONAL FIT

You need per-scan cost receipts to show clients exactly what each monitoring run costs, which Overhear provides in its usage dashboard.

OPERATIONAL FIT

You manage multiple brands and want to run keyword scans at different intervals (X and Reddit hourly, LinkedIn every six hours, YouTube and web daily).

Skip If

5
CAUTION

You need white-label client portals with your agency branding, since Overhear does not offer a verified white-label program.

CAUTION

Your clients require a fixed monthly cost for budgeting, because Overhear's prepaid credit model means costs vary with scan frequency and keyword count.

CAUTION

You need integrations with HubSpot, Salesforce, or other CRM platforms, as Overhear does not publish native integrations to those systems.

CAUTION

Your clients operate in regulated industries requiring HIPAA or SOC2 Type II compliance, since Overhear does not publish compliance certifications.

CAUTION

You want to automate lead routing or CRM sync from mentions, as Overhear's core function is labeling and dashboard display, not downstream automation.

Bottom Line

Overhear monitors brand, competitor, and product mentions across X, Reddit, LinkedIn, YouTube, Hacker News, and the web on a configurable schedule, labeling each mention by type (buying intent, complaint, bug report, question, praise). It charges per scan using prepaid credits rather than subscriptions, making it cost-transparent for agencies reselling to clients. Best suited for small marketing agencies, brand managers, and competitive intelligence teams who need scheduled listening without monthly commitments. The credit model works well for variable-volume clients, but requires agencies to manage billing infrastructure and educate clients on credit consumption patterns.

Reality Check

Trade-offs & Gotchas

Overhear charges per scan using prepaid credits, so agencies must either front credit costs for clients or build a separate billing layer to pass through consumption. There is no verified white-label program, meaning client-facing dashboards display the Overhear brand, limiting white-label positioning.

Implementation Reality

Moderate effort: standard configuration with some customization needed

Effort: 3/10Time: 4/10

Academy for Overhear

Work through it in order: the course for this service first, then the modules behind it.

Course for this service

Overhear Agency Implementation, Monetizing Social Listening at Scale

Learn how to set up Overhear monitoring workflows for clients, price listening campaigns using credit-based billing, and deliver actionable reports from mention labeling across X, Reddit, LinkedIn, and YouTube. This course teaches agencies to build recurring revenue by reselling Overhear as a lead generation and reputation monitoring service without monthly subscription overhead.

Open the course

Core concepts

The mental model you need to price and scope the work.

  1. Overhear Credit Burn RateConcept

    Overhear bills per scan from prepaid credits, so the agency's real cost driver is scan frequency multiplied by keyword count, not a seat count. A client monitored hourly across 40 keywords burns credits roughly 24 times faster than the same client on a daily cadence. Before quoting a retainer, run a one-week pilot at the client's intended cadence, read the per-scan cost receipts in the usage dashboard, and multiply. The $10 pack (6,000 credits), $25 pack (16,000 plus 1,000 bonus), and $50 pack (35,000 plus 5,000 bonus) give you three top-up sizes to map against that measured burn. Agencies that skip the pilot tend to underprice variable-volume clients and absorb the overage; agencies that measure first can set a scan cadence the retainer actually covers and sell cadence upgrades as a paid tier.

  2. 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.

  3. 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.

Decision and risk

How to judge the fit, and the ways it goes wrong.

  1. When to Adopt Overhear: Only for Variable-Volume Clients Below 35,000 Credits a MonthEvaluation Rule

    Adopt Overhear only when you can meter credit burn per client and rebill it, and keep subscription-based listening tools for accounts that need continuous coverage.

  2. 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.

  3. Should Your Agency Adopt Overhear? (Prepaid Credit Listening vs Retainer Commitments)Decision Framework

    IF your client roster has variable mention volume and you want listening billed per scan rather than per seat, THEN Overhear's prepaid credit packs ($10 for 6,000 credits, $25 for 16,000 plus 1,000 bonus, $50 for 35,000 plus 5,000 bonus) let an agency buy capacity once and draw it down across accounts. IF you need sentiment scoring depth, share-of-voice dashboards, or multi-year historical backfill, THEN skip it: Overhear labels mentions by type (buying intent, complaint, bug report, question, praise) across X, Reddit, LinkedIn, YouTube, Hacker News and the web, but the value score of 2.1 signals thin analytics beyond that labeling.

  4. The Overhear Credit Burn Trap: Why Agencies Fail With Prepaid Scan BudgetsFailure Pattern
  5. The Mention-Volume Trap: Why Social Listening Deliverables Stall After the First Client ReadoutFailure Pattern

Frequently Asked Questions

Answers about pricing, setup, implementation

Overhear scans X, Reddit, LinkedIn, YouTube, Hacker News, and the web for mentions of keywords you specify, running on a schedule you set. Each mention is labeled by type (buying intent, complaint, bug report, question, praise, or other), and you see per-scan cost receipts in a usage dashboard. Agencies can use it to monitor brand reputation, track competitor mentions, find buying-intent leads, and surface customer complaints for client accounts.

Overhear has a free plan; its paid prices are not published.

No verified white-label program is available. Client-facing surfaces display the Overhear brand, so you cannot present a fully branded portal to clients. You can resell the service as a managed listening tool under your agency's service offering, but the dashboard and reports will show Overhear branding.

Overhear does not publish native integrations with HubSpot, Salesforce, or other CRM platforms. It functions as a standalone listening tool with a usage dashboard and per-scan receipts. Agencies must manually export findings or use the dashboard directly with clients.

Setup is minimal once your agency account is configured. You add a keyword, select scan frequency (hourly, six-hourly, or daily), and start receiving labeled mentions. First results appear within the scan interval you choose. Onboarding a client typically takes 10-15 minutes to configure keywords and explain the dashboard.

Overhear is built for solo founders and indie SaaS makers who need to monitor product mentions and buying-intent signals. It also serves small marketing agencies, brand and reputation managers, and competitive intelligence teams. Any client in B2B SaaS, e-commerce, or consumer tech who wants to track Reddit and Hacker News discussions about their product or competitors is a strong fit.

Overhear provides per-scan cost receipts, so you can pass through credit consumption directly or bundle scans into a fixed retainer. For example, if a client's typical monthly monitoring uses 2,640 credits (about 14 mentions per scan at default cadence), you can purchase the 35,000-credit pack for $50 USD and allocate a portion to that client's retainer. Unused credits are refundable within 14 days, so you can test pricing with clients before committing.

Yes. You can set up separate scans for each keyword or brand, each with its own schedule. Costs are per scan, so monitoring three keywords at default cadence (X and Reddit hourly, LinkedIn six-hourly, YouTube and web daily) would consume approximately 7,920 credits per month based on typical mention volumes.