Subsig
TL;DR
Subsig shows how ChatGPT, Perplexity, and Google AI Overviews rank your brand in buyers' prompts, traces every AI answer back to the review or mention that produced it, and runs AI agents that rank which reputation fixes lift your visibility fastest.
Key Facts
Free version: Free forever plan with 3 AI visibility prompts, 6 tracked review platforms, 5 keywords, and 1 report per day — no credit card required.
Pricing
Starting at $49 lifetime deal
Free
- 3 AI visibility prompts
- 6 review platforms tracked
- 5 keywords/brands
- 1 workspace
- 1 AI visibility report/day
License Tier 1
- Unlimited users
- 2 workspaces
- 10 tracked prompts
- 240 lifetime AI credits
- 2,000 review capacity
- 1,000 mention capacity
- OpenAI provider
License Tier 2
- 3 workspaces
- 25 tracked prompts
- 450 lifetime AI credits
- 3,500 review capacity
- 3,000 mention capacity
- All Tier 1 features
License Tier 3
- 10 workspaces
- 50 tracked prompts
- 900 lifetime AI credits
- 7,000 review capacity
- 5,500 mention capacity
- Adds Perplexity + Google AI Overview tracking
License Tier 4
- 20 workspaces
- 100 tracked prompts
- 1,500 lifetime AI credits
- 13,000 review capacity
- 12,000 mention capacity
- Perplexity + Google AI Overview tracking
Additional Pricing Information
Subsig runs freemium: a free plan (3 prompts, 1 report/day) and paid plans from $79/month. The AppSumo lifetime deal replaces the subscription with a one-time payment from $49 (Tier 1) up to $499 (Tier 4), each with a lifetime allocation of AI credits rather than unlimited model access.
Details
What is Subsig?
Subsig is an AI visibility and reputation platform built on a simple, urgent premise: buyers stopped googling and now ask ChatGPT, Perplexity, and Google AI Overviews which tool to buy — and you have no idea what those models say about you. It answers by producing daily visibility scores across those engines, showing the exact buyer prompts where AI names you, a competitor, or nobody, then tracing each citation to the specific review, Reddit thread, Hacker News post, or community mention that produced it. Around that core it wraps social listening (Reddit, HN, X, GitHub, LinkedIn), aggregated review sentiment from G2/Capterra/Trustpilot, and nine AI agents that run root-cause analysis and rank which fixes would lift citations fastest — always human-in-the-loop before anything is published. The problem is that there are no independent reviews yet, only vendor-published review badges and a polished launch page, so real-world accuracy, quota burn, and agent usefulness are unproven. It fits marketing and growth teams at B2B SaaS and AI companies who want a single pane for how AI talks about them, but it ships with real caveats: quota-capped tracking, AI providers gated by tier, a very young vendor, and a category that changes month to month.
Key Features
- AI Visibility Tracking — Daily-refreshed scores showing where your brand is named, loses to a competitor, or is ignored across ChatGPT, Perplexity, and Google AI Overviews
- Citation Tracing — Maps every AI answer back to the exact review, thread, or page that produced it
- Prompt-Level Benchmarking — See the specific prompts where competitors appear next to you and watch share of voice shift weekly
- Multi-Platform Mention Feed — One stream of brand mentions across Reddit, HN, X, GitHub, and LinkedIn with AI sentiment scoring
- Review Sentiment Aggregation — G2, Capterra, and Trustpilot ratings consolidated with competitor comparison and alerts
- Autonomous AI Agents — Nine agents generate a prompt-coverage roadmap, root-cause analysis, and ranked fixes
- Human-in-the-Loop Publishing — Nothing posts on your behalf; every agent output requires approval
- Workflow Integrations — API, webhooks, Slack alerts, plus MCP, Claude, and OpenAI connections
- Subscribed Profile — A vendor-hosted brand profile with verified badge for how you appear where buyers research
Who is it for?
- Marketing and growth teams at B2B SaaS, developer tools, and AI companies whose buyers research via AI chat
- Agencies managing multiple brands who need citation tracing to prove the source behind an AI answer
- Founders worried AI recommends competitors instead of them and want a prioritized, evidence-backed fix list
- Reputation teams who want review sentiment merged with social listening in one view
- Teams comfortable with Slack/webhook/API workflows who want AI agents to do analysis while humans approve
Who is it NOT for?
- Consumer or influencer brands — no Instagram or Facebook monitoring, and the product skews B2B technical
- Teams needing deep historical trend reporting and long-range analytics
- Anyone expecting fully autonomous set-and-forget posting — every agent action requires approval
- Enterprises needing a mature partner with an established track record and SOC-style assurance from a 1-year-old company
- Budget-constrained users who refuse quota-capped monitoring
The Bottom Line
Subsig is one of the smartest pitches in the crowded AI-visibility category — it doesn't just hand you a vanity 'AI score,' it traces each answer to the exact review, thread, or mention behind it and tells you which fix to make first. That trace-and-fix loop is genuinely differentiated against Otterly, Peec AI, and Profound, and the free plan lets you test it for nothing. But it's a two-month-old, ten-person company with zero AppSumo reviews, self-published review badges, quota-capped 'lifetime' buckets, and a core premise that evolves every few months. The $49 entry is cheap enough to buy as a reputation-monitoring experiment — just don't bet your whole brand strategy on the agent layer surviving the vendor.
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