# LaunchSurface

> LaunchSurface is an autonomous go-to-market operator for solo founders and small teams. You give it your product URL. It drafts your ideal customer (Strategy), watches public sources for buying signals (Signals), and runs outreach cycles on its own (Operator): picking prospects, writing email sequences, sending from your own mailbox and reading the replies. Every prospect and action is recorded (Pipeline), and visits from your emails are attributed without cookies (Beacon). A second loop, in beta, measures how AI assistants recommend you and drafts the fixes, publishing approved posts to a blog on your own domain (Radar). It is one product, with one subscription per venture, from $49 a month. Plans run from $49/month to $599/month.

## Core concepts
- An autonomous GTM operator owns four loops (targeting, outreach, learning, and decisioning) without a human approving each step.
- It differs from AI SDR assistants and email sequencers, which keep a human in the seat.
- Every send passes a gate: suppression list, verified address, a per-prospect weekly cap and a per-inbox daily cap. Inboxes whose bounce or complaint rate crosses a threshold are paused automatically.

## Plans
- Starter: $49/month or $490/year. Includes 50 outreach sends a day, 100 Beacon events a day, 10 Radar tracked prompts, and $5 Operator credit each month.
- Growth: $149/month or $1,490/year. Includes 200 outreach sends a day, 500 Beacon events a day, 50 Radar tracked prompts, and $25 Operator credit each month.
- Scale: $599/month or $5,990/year. Includes 800 outreach sends a day, 2,500 Beacon events a day, 200 Radar tracked prompts, and $100 Operator credit each month.

## Capabilities
- [Operator](https://launchsurface.ai/operator): The autonomous agent that runs each go-to-market cycle: target, write, send, read, learn.
- [Signals](https://launchsurface.ai/signals): Collects dated, public buying signals and scores them against your ideal customer.
- [Strategy](https://launchsurface.ai/strategy): Turns your product into an ideal-customer profile and concrete targeting, then refines it from replies.
- [Pipeline](https://launchsurface.ai/pipeline): Every prospect Operator has found, the stage each one is at, and the full history behind it.
- [Beacon](https://launchsurface.ai/beacon): Ties a website visit back to the exact prospect and email that sent them, without cookies.
- [Radar](https://launchsurface.ai/radar): Measures whether AI assistants name and cite you, then drafts the fixes for your approval. (beta)

## Solutions
- [Solo founders](https://launchsurface.ai/solutions/solo-founders): Sell like a team of ten while you keep building, with no sales experience required.
- [Small teams](https://launchsurface.ai/solutions/small-teams): Cover targeting, outreach, and follow-up so a small team punches above its size.
- [Consultants](https://launchsurface.ai/solutions/consultants): A steady pipeline of qualified clients for independent consultants and boutique firms, with no sales team required.
- [Cold outreach](https://launchsurface.ai/solutions/cold-outreach): Personalized, sequenced, and paced from your own mailbox, so it lands in the inbox.
- [Intent-based GTM](https://launchsurface.ai/solutions/intent-based-gtm): Watch the market for buying signals and act on them while people are looking.
- [Agencies](https://launchsurface.ai/solutions/agencies): Run a separate operator per client, each with its own ICP, sending, and pipeline.
- [Warm-prospect follow-up](https://launchsurface.ai/solutions/inbound-follow-up): Follow up when someone you reached replies or comes back to your site, before the interest cools.
- [AI answer inbound](https://launchsurface.ai/solutions/ai-answer-inbound): Prospects ask AI who to use before they ever search. Get named in the answer so qualified demand arrives already sold.

## Comparisons
- [LaunchSurface vs Apollo](https://launchsurface.ai/compare/apollo): Apollo is a B2B contact database with outreach tools you run. LaunchSurface is an autonomous operator that finds prospects from public buying signals and runs the outreach itself. A sourced comparison.
- [LaunchSurface vs Clay](https://launchsurface.ai/compare/clay): Clay's waterfall checks many data providers for a work email. LaunchSurface runs enrichment as one step inside an autonomous operator that also writes and sends. A sourced comparison.
- [LaunchSurface vs Gojiberry](https://launchsurface.ai/compare/gojiberry): Gojiberry and LaunchSurface both act on buying signals for founders. How their signals, outreach and pricing differ, with sources.
- [LaunchSurface vs Jam (Spreadjam)](https://launchsurface.ai/compare/spreadjam): Jam offers marketing agents across AI search, social, prospecting and cold email. How its prospecting and AI-search work compare with LaunchSurface, with sources.

## Guides
- [How to steer the operator](https://launchsurface.ai/guides/steer-the-operator): Use the Steer copilot to adjust targeting, messaging, and priorities in plain language.
- [Submitting a support ticket](https://launchsurface.ai/guides/submit-a-support-ticket): Report an issue or ask for help from inside the app, with screenshots or screen recordings.
- [Connecting your mailbox](https://launchsurface.ai/guides/connect-your-mailbox): Send from your own Gmail or Outlook so outreach lands in the inbox.
- [Setting your budget](https://launchsurface.ai/guides/set-your-budget): Top up the wallet and set caps so the operator runs within your limits.
- [Reading your pipeline](https://launchsurface.ai/guides/read-your-pipeline): Track every prospect from first signal to first reply.
- [Understanding signals](https://launchsurface.ai/guides/understand-signals): What buying signals we watch and how they drive targeting.

## Articles
- [Introducing Radar: See How AI Answers Your Buyers, Then Do Something About It](https://launchsurface.ai/blog/ai-search-visibility-tool): Today we are launching Radar. It asks the questions your buyers type into ChatGPT, Perplexity, Gemini, Claude, and Google AI Overviews, shows you whether the answers mention you, and then drafts the work that changes them. Watching your visibility was never the hard part. Moving it is.
- [Cold Email Mistakes That Quietly Kill Reply Rates](https://launchsurface.ai/blog/cold-email-mistakes-kill-reply-rates): Most dead cold email campaigns die from a few quiet mistakes: loose targeting, me-first copy, multiple CTAs, bad timing, ignored deliverability, and no follow-up. Here is each one and the exact fix.
- [How to Write a Value Proposition for Cold Outreach](https://launchsurface.ai/blog/value-proposition-cold-outreach): A value proposition for cold outreach names one specific outcome the reader cares about, ties it to a trigger you can see, and drops the jargon. Here is a simple structure with before-and-after rewrites.
- [Introducing Multi-Source Prospecting: The Right Leads, From One URL](https://launchsurface.ai/blog/best-ai-prospecting-tool): Today we are launching multi-source prospecting. Operator searches more than 50 live sources at once, judges every match against who you actually sell to, and hands back reachable people who fit, all from a single URL. The hard part of outbound was never finding leads. It was finding the right ones.
- [The Outbound Metrics a Founder Should Actually Watch](https://launchsurface.ai/blog/outbound-metrics-founders-watch): Watch four numbers: positive reply rate, meeting rate, cost per meeting, and deliverability health. Opens and total sends feel productive but they tell you almost nothing about whether outbound is working.
- [Re-engaging Cold Leads: When and How to Follow Up Later](https://launchsurface.ai/blog/re-engaging-cold-leads): Re-engage a cold lead with a new reason to reply, not another bump. Wait for a real trigger, lead with that, give them an easy out, and stop for good after two or three quiet touches.
- [Deliverability Monitoring: The Signals to Watch Every Week](https://launchsurface.ai/blog/deliverability-monitoring-signals): Watch five signals every week: bounce rate, spam complaint rate, inbox-versus-spam placement from seed tests, blocklist status, and domain reputation. Each one has a threshold that tells you to slow down before the damage spreads.
- [Setting Up Your Cold Email Infrastructure From Scratch](https://launchsurface.ai/blog/cold-email-infrastructure-setup): Cold email infrastructure is a separate sending domain, a handful of warmed mailboxes, correct SPF, DKIM, and DMARC records, and a tight daily send limit per inbox. Here is the exact setup a founder can finish in an afternoon.
- [List Building Without Buying Lists](https://launchsurface.ai/blog/list-building-without-buying-lists): You can build a sharper, fresher prospect list without ever buying one: pull from public signals, directories, and your own research, then verify every address before you send. Here is how, and why bought lists usually cost you more than they save.
- [Lead Qualification for Outbound: Who to Skip](https://launchsurface.ai/blog/lead-qualification-for-outbound): Qualifying outbound leads means deciding who to skip before you send and who to drop after they reply. The fastest gains come from disqualifiers, not from chasing every maybe.
- [How to Handle Replies: Triage, Routing, and the First Response](https://launchsurface.ai/blog/how-to-handle-cold-email-replies): Sort every cold-email reply into one of six buckets, answer fast, and route the hard ones to a human. Speed wins early conversations, and the first response sets the tone for the whole thread.
- [Cold Email A/B Testing: What to Test and How to Read the Results](https://launchsurface.ai/blog/cold-email-ab-testing): Test the things that move replies: subject line, opening line, offer, and CTA. Change one variable at a time, give it enough volume, and judge on positive reply rate, not opens.
- [How to Verify Email Addresses Before You Send](https://launchsurface.ai/blog/verify-email-addresses-before-sending): Verifying an address before you send means checking that the syntax is valid, the domain can receive mail, and the mailbox actually exists, so you stop bounces before they wreck your sender reputation. Here is how each check works and when to run it.
- [Multichannel Outbound: Combining Email and LinkedIn Without Being Annoying](https://launchsurface.ai/blog/multichannel-email-linkedin): Combine email and LinkedIn into one sequence by giving each channel a job: email carries the ask, LinkedIn warms and adds a human face. Space the touches, never repeat the pitch, and stop when there is no signal.
- [What Is an Autonomous GTM Operator?](https://launchsurface.ai/blog/what-is-an-autonomous-gtm-operator): An autonomous GTM operator runs your outbound end to end: it chooses targets, writes and sends outreach, reads the replies, and adjusts on its own. Here is what that means, how it differs from an AI SDR, and why it works now.
- [Cold Email Deliverability in 2026: The Complete Guide](https://launchsurface.ai/blog/cold-email-deliverability-2026-playbook): Deliverability in 2026 comes down to authenticated sending, a clean sending identity, slow ramping, and an automatic stop on bounces and complaints. Here is the full playbook, including what changed this year.
- [Why 'AI SDRs Don't Work': Separating Hype From Reality](https://launchsurface.ai/blog/why-ai-sdrs-dont-work): Most AI SDRs fail for three reasons: they need constant babysitting, they chase volume that burns your domain, and they report metrics that flatter them instead of measuring pipeline. Here is how to tell a real operator from a demo.
- [AI SDR vs Human SDR: What the Data Actually Says in 2026](https://launchsurface.ai/blog/ai-sdr-vs-human-sdr-2026): AI wins on research, sequencing, signal-triggered first touch, scale, and cost. Humans still win on complex multi-stakeholder deals, trust, and real discovery. Here is the honest split and a framework for deciding which work goes where.
- [The Solo Founder's GTM Playbook: Outbound With No Sales Team](https://launchsurface.ai/blog/solo-founder-gtm-playbook): You can run real outbound as one person if you pick a thin stack, automate sending and research first, and target on live signals instead of a static list. Here is the lean playbook and a realistic cadence for a team of one.
- [What to Demand From an AI Outbound Tool Before You Buy](https://launchsurface.ai/blog/ai-outbound-buyer-checklist): Before you buy an AI outbound tool, demand six things: traceable real metrics, hard deliverability controls, honest data sourcing, ICP discipline, clear guardrails, and references you can actually call. Here is the checklist and the failure modes it catches.
- [How Much Should a Founder Spend on Outbound?](https://launchsurface.ai/blog/founder-outbound-budget): Before product-market fit, most founders should spend almost nothing on headcount or retainers and instead pay for tooling, data, and their own time. Here is how the four common models compare on cost per meeting.
- [AI GTM Operator vs AI SDR vs Sales Engagement Platform](https://launchsurface.ai/blog/gtm-operator-vs-ai-sdr-vs-sep): An AI GTM operator runs outbound on its own, an AI SDR drafts work for a human to approve, and a sales engagement platform is a manual sequencer with automation bolted on. Here is how the three differ and which one fits your team.
- [How to Read Cold Email Benchmarks (Most Don't Apply to Your Stage)](https://launchsurface.ai/blog/reading-cold-email-benchmarks): Most cold email benchmarks do not apply to you, because reply and open rates swing wildly by ICP, offer, list quality, and company stage. The number that matters is your own baseline, measured against your past self.
- [Your First 100 Customers: An Outbound Plan for Pre-PMF Startups](https://launchsurface.ai/blog/first-100-customers-outbound): Before product-market fit, outbound is a learning tool, not a growth channel. Start with a painfully narrow ICP, send a small number of personal emails by hand, and read every reply. Here is the full plan.
- [Why Open Rate Is a Vanity Metric (and What to Track Instead)](https://launchsurface.ai/blog/open-rate-vanity-metric): Open rate is unreliable because Apple Mail Privacy Protection auto-loads tracking pixels and inflates the number, while the pixel itself can hurt deliverability. Track positive reply rate, meeting rate, and cost per meeting instead.
- [The Buying Signals That Actually Predict a Reply](https://launchsurface.ai/blog/buying-signals-that-predict-replies): The signals that predict a reply are recent, role-relevant, and tied to your product. A new hire who owns the problem you solve beats a stale company-level intent score every time. Here is how to tell signal from noise and how to weight it.
- [Trigger-Based Outbound: Reaching Buyers at the Right Moment](https://launchsurface.ai/blog/trigger-based-outbound): Trigger-based outbound sends a message because something just happened at the account, a funding round, a new hire, a tech change, instead of blasting a static list. Here is what counts as a trigger and how to build the motion.
- [How to Build an ICP From Live Intent Signals, Not Demographics](https://launchsurface.ai/blog/build-icp-from-intent-signals): A demographics-only ICP (industry, headcount, title) tells you who might buy in theory, not who is buying this week. Build it from triggers and behaviors instead, then let reply and engagement data tighten it over time.
- [Personalization at Scale: Going Beyond {First Name}](https://launchsurface.ai/blog/personalization-at-scale): Real personalization is relevance to a trigger, role, or context, not a merge tag. Here is how to do it across thousands of sends, where the creepy line sits, and what actually moves replies.
- [The Cold Email Follow-Up Sequence: How Many Touches, How Far Apart](https://launchsurface.ai/blog/cold-email-follow-up-sequence): Send three to five follow-ups, spaced roughly three to seven days apart, and make every one add a new angle instead of bumping the thread. Here is the cadence, the spacing, and when to stop.
- [Google and Yahoo Bulk Sender Rules: What Senders Must Do](https://launchsurface.ai/blog/bulk-sender-rules-2026): Since February 2024, anyone sending bulk mail to Gmail or Yahoo must authenticate with SPF, DKIM, and DMARC, offer one-click unsubscribe, and keep spam complaints under 0.3 percent. Here is the full checklist and what it means for cold senders.
- [Subject Lines for Trigger-Based Outreach](https://launchsurface.ai/blog/subject-lines-trigger-based): The best subject line for trigger-based outreach names the trigger plainly and stops. Short, lowercase, no clickbait, no spam words. Relevance beats cleverness every time.
- [Dedicated Domains vs Your Main Domain for Cold Email](https://launchsurface.ai/blog/dedicated-domain-vs-main-domain): Send cold email from a separate domain, never your main one. A bad sending reputation on your primary domain can hurt every email you send, including invoices and customer replies. Here is how to set up sending domains, subdomains, and redirects the right way.
- [Cold Email Teardown: Why Trigger-Based Beats Templates](https://launchsurface.ai/blog/cold-email-teardown-trigger-based): A reply-worthy cold email opens with a real, timely trigger, explains why you specifically, and makes one soft ask. Template-first email fails because it could have gone to anyone. Here is the anatomy, with a teardown.
- [Why Your Cold Emails Land in Spam (and How to Diagnose It)](https://launchsurface.ai/blog/why-cold-emails-go-to-spam): Cold emails go to spam mostly for five reasons: broken authentication, a damaged domain reputation, spammy content, a dirty list, and sudden volume spikes. Here is how to diagnose which one is hurting you and how to fix each.
- [What Is Intent Data? A Practical Guide for Outbound](https://launchsurface.ai/blog/what-is-intent-data): Intent data is any signal that a person or company is moving toward a buying decision. Here is how first-party and third-party intent differ, which public signals actually predict outreach, and where the noise hides.
- [Email Warmup: How It Works and How Long It Really Takes](https://launchsurface.ai/blog/email-warmup-guide): Email warmup is the process of slowly building a new mailbox's sending reputation by ramping volume and earning positive engagement. Done right it takes about two to four weeks, and skipping it is the fastest way to land in spam.
- [How to Pass DMARC for Cold Email Without Risking Your Main Domain](https://launchsurface.ai/blog/pass-dmarc-cold-email): To pass DMARC for cold email, send from a separate domain (not your primary), align SPF and DKIM to that sending domain, then publish DMARC at p=none, read the reports, and only then tighten to quarantine or reject.

## Key pages
- [Home](https://launchsurface.ai): Product overview and how it works.
- [Product](https://launchsurface.ai/product): The whole system on one page, with every capability.
- [Pricing](https://launchsurface.ai/pricing): Starter, Growth, and Scale plans.
- [Trust](https://launchsurface.ai/trust): Security practices, data handling, and the subprocessors the code calls.
- [Blog](https://launchsurface.ai/blog): Field notes on autonomous go-to-market.
- [Guides](https://launchsurface.ai/guides): Step-by-step walkthroughs for steering Operator.
- [Solutions](https://launchsurface.ai/solutions): Use cases by team and by motion.
- [Compare](https://launchsurface.ai/compare): Sourced comparisons with other tools.
- [Changelog](https://launchsurface.ai/changelog): Shipped changes, newest first.
- [About](https://launchsurface.ai/about): What LaunchSurface builds, who it is for, and how the team works.
- [Contact](https://launchsurface.ai/contact): Support, privacy, security, and billing contacts.
- [API documentation](https://launchsurface.ai/docs): Endpoints, authentication, errors, and rate limits.
- [Privacy Policy](https://launchsurface.ai/privacy): How LaunchSurface collects, uses, and protects information.
- [Terms of Service](https://launchsurface.ai/terms-of-service): The terms that govern use of LaunchSurface.

## Developer resources
- [LaunchSurface API documentation](https://launchsurface.ai/docs): Base URL, bearer authentication, endpoints, JSON error shapes, and rate-limit headers.
- LaunchSurface OpenAPI specification: https://launchsurface.ai/openapi.json (OpenAPI 3.1, also served from https://api.launchsurface.ai/openapi.json).
- LaunchSurface API base URL: https://api.launchsurface.ai. Every response is JSON, including errors.
- Authentication: `Authorization: Bearer <token>` using a LaunchSurface session JWT.
- Errors return `{ error, message, hint, correlationId }`; the same id is on the `X-Correlation-ID` header.
- Rate limits are published live on the `RateLimit-Limit`, `RateLimit-Remaining`, `RateLimit-Reset` and `RateLimit-Policy` response headers, with `Retry-After` on a 429.
- Service status: https://api.launchsurface.ai/health.

## For agents
- Any page on this site is available as markdown: send `Accept: text/markdown`. Blog posts also answer at `/md` (e.g. https://launchsurface.ai/blog/<slug>/md).
- API catalog: https://launchsurface.ai/.well-known/api-catalog (application/linkset+json).
- Sitemap: https://launchsurface.ai/sitemap.xml. Crawl policy: https://launchsurface.ai/robots.txt, which names AI agents explicitly.