You're sending the same email to 1,000 people and wondering why nobody replies.

AI writes personalized emails using your prospect's job title, company, industry, and pain points. Built-in spam word detection rewrites trigger phrases before they hit filters. Every email reads like you spent 10 minutes researching. You spent zero.

Start Writing Emails That Convert See How It Works

No credit card required. Personalized at scale.

See why generic emails destroy your reply rate — and what AI does differently

The problem isn't your offer. It's that your email sounds like everyone else's.

Writing emails manually

Spend 10 minutes per email researching the prospect — can't scale past 30/day
Copy-paste the same template, swap the first name, hope it works
Use words like 'guaranteed results' and 'act now' — land in spam
Follow-up emails sound exactly like the first one — prospect tunes out
No idea which version of your pitch actually performs better
Hire a VA to 'personalize' — they add the company name and call it done

With AI copywriting

AI reads 10+ data points per prospect — role, industry, company size, location, website
Every email is uniquely written, not template-swapped
Built-in spam checker catches 500+ trigger words and rewrites them automatically
Spintax generates infinite variations — no two follow-ups read the same
A/B test subjects and body copy with data showing what converts
One prompt generates 100 personalized emails in minutes, not days

Here's how the AI turns prospect data into emails that get replies

From prospect data to personalized email in three steps.

Upload your leads. Describe your offer. AI handles the rest.

Upload Prospects

CSV with name, title, company, industry, location, website — the more data points you include, the more personalized the output. The AI uses every column you give it.

Describe Your Offer

Tell the AI what you sell and what problem it solves. It scrapes your website to understand your business, identifies your USP, and maps your solution to each prospect's likely pain points.

Generate & Send

AI writes a unique subject line and email body for each prospect. Spam checker rewrites flagged words. Spintax adds variation. Push directly into a campaign sequence — no copy-paste needed.

What the AI produces from your prospect data

Input: prospect data points

Sarah Chen

VP of Sales at Apex Logistics

Industry: Freight & Logistics Location: Chicago, IL Company size: 200+ Website: apex-logistics.example

AI analyzes all data points to identify likely pain points and match them to your offer

Output: personalized email

Subject: Struggling to fill your pipeline?

Hi Sarah,

Running sales for a logistics operation in the Midwest means your team is probably spending more time prospecting than closing.

At Apex, with 200+ employees moving freight, every hour your reps spend researching leads is an hour they're not on the phone with shippers who are ready to sign.

We could help your team get 50+ qualified prospects delivered weekly so they focus on what they do best — closing.

Would it be worth seeing how it works?

Built-in spam word detection and rewriting

The spam checker scans your email against 500+ trigger words and phrases. If it finds any, the AI automatically rewrites those sections — keeping the meaning while avoiding the filters.

Before (flagged)

We guarantee a 100% increase in your pipeline. Act now to get free access to our platform.

After (clean)

We consistently deliver significant pipeline growth for our partners. Get started at no cost to see the results for yourself.

10+

Data points per prospect

500+

Spam trigger words checked

100

Emails per batch

0 min

Manual writing time

Generate Your First Batch

Free to try. See real output before you pay.

Here's what makes this different from ChatGPT and generic AI writers

Not a chatbot prompt. A purpose-built email writing engine.

Generic AI tools write generic emails. This system was built from the ground up for cold outreach — every feature exists to get replies.

Role-Aware Personalization

The AI doesn't just swap first names. It reads the prospect's job title and adjusts the entire email accordingly. A CEO gets company-wide benefits. A VP of Sales gets team-level impact. An individual contributor gets personal productivity gains. Same offer, different framing — because a CMO and a sales rep care about different things.

Website Intelligence

Before writing, the AI scrapes your prospect's website to understand their business — what they sell, what problems they face, and what language they use. It extracts the company's offer, USP, top problems, and target roles. Your email references their actual business, not generic industry assumptions. That's the difference between "Dear Business Owner" and a message that makes them stop scrolling.

Automatic Spam Filter Avoidance

The spam checker scans every email against 500+ known trigger words and phrases — the same ones Gmail, Outlook, and corporate filters flag. Words like "guarantee," "act now," and "free access" get caught and rewritten automatically. The system loops until the email is clean, up to 10 passes. Your message says the same thing — just without the words that send it to the junk folder.

Spintax & Variable Interpolation

After the AI writes your email, spintax converts 45-55% of each sentence into randomized alternatives. Combined with template variables like <> and fallback syntax like <> , a single email template produces thousands of unique combinations. Email providers see unique content for every send. Your deliverability stays high because no two emails are identical.

Low-Friction CTAs That Get Replies

The AI is trained to end every email with a question that can be answered with a simple yes or no — "Would you like to learn more?" instead of "Would you be open to scheduling a call?" Low-friction CTAs get 3-5x more positive replies because they don't ask the prospect to commit to anything. A "yes" reply is the start of a conversation, not a calendar invite.

Write Your First Batch Free

See real personalized output in minutes.

How does this compare to what you're using now?

Honest comparison: this vs. the alternatives.

Most people write cold emails one of three ways. Here's how they stack up.

	AI Copywriter	ChatGPT / Claude	Manual Writing	VA / Freelancer
Personalization depth	10+ data points Role, company, industry, location, website	Whatever you paste in Manual copy-paste per lead	Varies by effort 10 min research per email	First name + company Surface-level at best
Spam word detection	500+ trigger words Auto-rewrite until clean	None You check manually	None Hope for the best	None VAs don't check
Output per hour	100+ emails Batch generation	5-10 emails Prompt + edit loop	3-6 emails Research + write + review	15-20 emails Low personalization
Spintax generation	Built-in 45-55% sentence variation	No	Manual	No
Campaign integration	Direct to sequence No export/import needed	Copy-paste Export, format, import	Copy-paste Manual entry	Spreadsheet handoff Format mismatch risk
Cost	Included Part of the platform	$20-100/mo Plus your time	Free tool But 4+ hours/day of your time	$500-2,000/mo Quality varies widely

According to Woodpecker, personalized cold emails get 2-3x higher reply rates than generic templates. The difference is specificity — mentioning the prospect's actual role, company, and business challenges versus swapping a first name into a mass template.

Still not sure? Zero risk to find out.

No credit card required

Upload prospects, describe your offer, and see real personalized emails before you pay anything. Judge the quality yourself.

Edit before sending

Every AI-generated email can be reviewed and edited before it goes out. You're not handing over your outreach to a bot — you're getting a first draft that's already 90% there.

Integrated, not isolated

Generated emails flow directly into campaign sequences. No exporting to CSV, no reformatting, no manual copy-paste into another tool.

Try It Free

Try it free, cancel anytime.

Why I built this

I was writing cold emails for 6 hours a day. Research the prospect on LinkedIn. Check their website. Figure out their likely pain point. Write a personalized opener. Draft the pitch. Check for spam words. Send it. Repeat 30 times. That's a full workday for 30 emails.

I tried using ChatGPT. Better, but I still had to paste in each prospect's details one at a time, edit the output, check for spam triggers manually, then copy it into my sending tool. The "AI workflow" saved maybe 20% of my time and introduced a whole new category of errors.

So I built a system that takes a CSV of prospects, reads every data point it can get — title, industry, company, location, website — and writes a unique email for each person. Then it runs the email through a spam checker and rewrites any flagged words. Then it converts it to spintax for variation. Then it pushes it straight into a campaign sequence. No copy-paste. No manual review of 500 trigger words. No switching between 4 tabs.

What used to take me 6 hours takes 10 minutes. And the emails are better than what I was writing by hand — because the AI never skips the research step.

Common questions

The system is specifically trained to write at a conversational, 6th-grade reading level — no corporate jargon, no flowery language, no "I hope this finds you well." It starts with a personalized question about the prospect's actual business, references their company by name, and ends with a low-friction yes/no question. If anything, they sound more human than what most salespeople write because they include specific details about the prospect that most people skip.

Everything in your CSV — first name, last name, job title, company name, industry, location (city/state), website, phone, LinkedIn profile, keywords, and any custom columns you add. The AI also scrapes the prospect's website to understand their business, extract their offer and USP, and identify the problems they face. More data points = more specific emails = higher reply rates.

It checks your email against a database of 500+ known spam trigger words and phrases — things like "guarantee," "act now," "free access," "limited time," "100%," and hundreds more that email providers flag. If any are found, the AI rewrites those sections while keeping the meaning intact. It loops up to 10 times until the email is clean. You can also pass your own list of words to avoid — useful if you know specific terms that trigger filters in your industry.

Yes. Every email can be previewed and edited before sending. You can also build a feedback loop — edit the AI output, and those edits inform future generations. Think of the AI as a first-draft machine. It does the research and writes the email. You review, tweak if needed, and approve. Over time, the output gets closer to your voice because the system learns from your corrections.

Yes — they're built on the same platform. Generated emails push directly into campaign sequences. The spintax and variables carry through to the sending engine, so each email is personalized at send time with the prospect's specific data. No export, no reformat, no manual import. Write in one place, send from the same place.

Those tools write one email at a time, usually in a browser extension. You still have to open each prospect, trigger the AI, review the output, and paste it into your sending tool. This system takes a batch of 100 prospects, reads all their data points, scrapes their websites, writes unique emails for each one, checks for spam words, generates spintax, and pushes them into campaign sequences — in one operation. It's batch personalization, not one-at-a-time assistance.

Every generic email you send trains your prospects to ignore you.

The people who would have replied are responding to the competitor who mentioned their company by name and their actual pain point.

Start Writing Emails That Get Replies

No credit card. See real personalized output in minutes.