An AI Outreach Agent for Everything Except Pressing Send
Your sending tool is fine. The reason your outbound isn't working is upstream of it: a list nobody qualified, personalisation nobody sourced, and replies nobody got to in time. This agent owns those three jobs — it builds a cost-capped list from a plain-English ICP, scores every lead against real evidence with a dated source URL, and triages the replies when they land. You keep your sender. You just stop feeding it guesses.
No credit card · No mailboxes to warm up · First list in about 10 minutes
Outbound Broke at the Research Step, Not the Sending Step.
Sending infrastructure is a solved, commoditised problem. There are a dozen good tools that manage mailboxes, warm them up, rotate senders, and protect deliverability. Buying another one will not fix your reply rate. These will:
- 01
The list was never qualified.
A scraper returned 500 rows and nobody could tell you why row 1 should be contacted before row 400 — so the sequence went out to all of them.
- 02
The personalisation was invented.
“I saw you're scaling fast” is not research, and the recipient knows it. Real personalisation needs a specific, checkable fact with a date on it.
- 03
The same person got contacted twice.
Nobody reconciled the new list against who was already in a sequence.
- 04
The replies sat.
A positive reply that gets answered on day three is a lost deal. Most outbound stacks invest everything in outflow and nothing in the inbound side of the conversation they just created.
Those four failures all live before and after the send, never during it. That is the half of outbound this agent owns.
This Does Not Send Your Cold Email, and That Is Deliberate.
Worth being blunt about, because most products in this category are senders and you should not find this out after signing up.
SketricGen has no sending infrastructure. No mailboxes, no domain warmup, no inbox-placement monitoring, no LinkedIn sender rotation, no deliverability dashboard. We are not going to be better at that than the tools built for it.
What we do instead is the part those tools leave to you: deciding who is worth contacting, finding the specific reason to contact them now, proving it with a source, and dealing with what comes back. Keep your sender. Point it at a list that has actually been thought about.
The stack this assumes: SketricGen for research, targeting, and reply handling → your existing sending tool for delivery.
Three Jobs, Each One a Working Template You Can Open and Edit.
Setup times below are measured from the tested workflows, not estimated.
| Job | What the agent does | Template | Setup |
|---|---|---|---|
| Build a qualified list | Takes your product and ICP in plain language, runs one cost-capped search, scores every result against real evidence, and writes to Google Sheets only after you approve the shortlist. | Lead Generator | ~10 min |
| Build a local or niche list | Turns a plain description of your ideal customer into a clean, deduplicated, scored list of businesses with CSV export. Built for local and category prospecting. | Web Lead Extractor | ~10 min |
| Find the angle before you write | Discovers who you're actually competing against and turns sourced positioning, SEO, content, and offer evidence into an opportunity brief. | Competitor Intelligence Analyst | 10–15 min |
| Handle what comes back | Triages your inbox into urgent / needs-reply / FYI / spam, drafts context-aware replies for the ones that need them, logs the important threads to Notion, and pings Slack on anything urgent. | AI Email Manager | ~10 min |
| Walk into the meeting briefed | Builds a briefing before every call: attendee research, company news, and your own past email and Slack history with that account. | Pre-Meeting Prep | 10–15 min |
| Book it without a call | Answers the prospect's blocking question from your own content and books the meeting on your calendar, inside the chat. | AI Receptionist | 5–10 min |
Start with the list. The reply handling only matters once the list is good enough to produce replies.
Every Lead Arrives With a Reason, a Source URL, and a Date.
This is the section worth reading twice, because it is the only thing separating a qualified list from a scrape. When the Lead Generator scores a lead, it attaches two things:
- 01
A fit score —
how well the company matches the ICP you described, judged against collected evidence rather than assumed from a job title or a headcount band.
- 02
A why-now trigger —
a specific, recent reason this account is worth contacting this week, carrying the URL it came from and the date it was published.
That dated source means your first line writes itself and is true, you can audit the agent by opening the source, and stale triggers are visible before you send.
Three Guardrails Around the Score.
| Guardrail | What it prevents |
|---|---|
| A hard spend cap on every run | Scraping is billed per record. Every run carries a maximum charge and a per-conversation lock, so a rerun can't quietly double-charge you. |
| A contacted ledger | The agent reads your existing rows and a record of who has already been contacted before it writes anything, so the same person doesn't get a second cold email from a different list. |
| An approval gate | Nothing is written to your sheet until you've seen the shortlist and signed off. The agent proposes; you commit. |
One more honest behaviour: if your described audience doesn't fit a B2B database at all, the agent says so up front — before it spends anything.
From One Sentence to an Approved List, in About Ten Minutes.
Setup, once: connect Google Sheets, describe your product and your ideal customer in plain language, and set the spend ceiling for a run.
- 01
Step 1
You say how many leads you want.
The agent prices the run against your cap before anything executes.
- 02
Step 2
It sources candidates matching the ICP —
category, location, quality thresholds, required fields, exclusions.
- 03
Step 3
It cleans the results:
duplicates removed, tracking junk stripped from URLs, invalid contact data dropped.
- 04
Step 4
It scores each remaining lead for fit
and attaches a why-now trigger with a source URL and date.
- 05
Step 5
It checks every lead against the contacted ledger
and existing sheet rows, and greys out anyone already in play.
- 06
Step 6
It shows you the shortlist.
You approve, edit, or reject.
- 07
Step 7
On approval, it writes to Google Sheets
— ready to hand to whatever you send with.
What you get: a list where the ordering means something, every row has a reason attached, and nobody gets contacted twice.
Sits Between the Tools Your Outbound Already Runs Through.
Research in, list out, replies handled. These connect natively; another 2,000+ apps are available from the connector library.
Connect natively
- Google Sheets
- Gmail
- Google Calendar
- Slack
- Notion
Don't see your sender? That's fine — the handoff is a sheet or a CSV, which every sending tool on the market ingests. Any agent can also call a REST API or a custom MCP server directly.
What This Outreach Agent Will Not Do.
- 01
It will not send cold email.
No mailboxes, no warmup, no deliverability management, no inbox placement reporting.
- 02
It will not send LinkedIn connection requests or DMs at scale.
No sender rotation, no account farming.
- 03
It will not run your sequences.
Step timing, A/B splits, and stop-on-reply logic live in your sending tool.
- 04
It will not guarantee contact-data accuracy.
It cleans and validates what it collects and drops what fails, but it is not a contact database vendor and does not claim their coverage.
- 05
It will not write your whole sequence for you.
It gives you a sourced, dated reason to write — the judgement about the offer stays yours.
- 06
It does not do voice.
No cold calling, no call recording, no dialler.
If you need a sender, buy a sender. If you need the list that sender is pointed at to be worth sending to, this is the part that's missing.
Where a Research Agent Beats Another Sending Seat.
Agencies building lists for clients
A new ICP every engagement, and a spend ceiling that has to hold. Plain-English ICP in, cost-capped and evidence-scored list out, with sources the client can check.
Founders doing outbound themselves
You have no SDR and no time to research 200 accounts. The agent does the research pass; you do the twenty minutes of judgement that actually needs you.
Sales teams already running a multi-tool stack
You have the sender. You have the CRM. What you don't have is the layer that decides who goes in and why, which is currently a spreadsheet and somebody's afternoon.
Local and category prospecting
Businesses by category, location, rating, and review threshold — deduplicated and CSV-ready, which the general-purpose B2B databases handle badly.