One-to-one prospecting drafts
Create a first draft after a human has selected a relevant account and reviewed its public website.
Independent tool overview
Cold Mail by DoMore.ai is an existing custom GPT inside ChatGPT that uses the seller's website and a prospect's website to research both businesses, infer a possible fit, and draft personalized formal and informal cold-email options.
Visit the official Cold Mail by DoMore AI site ↗
Overview
Cold Mail by DoMore.ai is a focused drafting assistant, not a lead database or sending platform. Its published workflow asks for two links—your offer and the prospective customer's page—then researches both companies, identifies a possible problem your offer could address, and drafts two outreach variants. That is more useful than prompting a general chatbot with only a company name because the message has at least some source context.
The user remains responsible for the prospect list, factual accuracy, lawful basis or consent, suppression lists, email infrastructure, and final send. Website-based personalization can be stale or speculative, and a polished draft can still be misleading, intrusive, discriminatory, or unlawful. Verify every claim, remove invented pain points, and apply the marketing rules for every recipient's location before sending.
Use cases
The strongest fit depends on the job you need the product to complete, not the size of its feature list.
Create a first draft after a human has selected a relevant account and reviewed its public website.
Compare a seller's published offer with a prospect's public business context before proposing a possible benefit.
Generate formal and less-formal versions for an operator to revise in their own voice.
Help small teams structure thoughtful outreach without adopting a full sales-engagement platform.
Use the draft as material to shorten, fact-check, and improve rather than treating it as an automatic send.
Capabilities
Starts from the user's offer page and a specific prospect page instead of a generic audience description.
Summarizes what the prospective company does from public web material.
Summarizes the user's own company and offer from its website.
Suggests a potential customer problem that the seller's offer might address.
Produces one more formal and one more conversational draft for comparison.
Includes a short proposed subject line with each email concept.
Uses selected public details about the prospect to create a specific opening.
Connects the hypothesized problem to a proposed outcome from the seller's offer.
Ends with a suggested low-friction next step that the sender can revise.
Lets users ask for shorter, clearer, more specific, or differently toned rewrites inside the same conversation.
Process
Step 1
Determine the recipient's jurisdiction, the applicable marketing rules, your consent or lawful basis, and the required records before drafting.
Step 2
Select a person whose role plausibly relates to the offer; do not use sensitive traits or indiscriminate scraped lists.
Step 3
Use public company pages and an accurate offer page. Exclude private CRM notes, credentials, confidential deals, and unnecessary personal data.
Step 4
Provide the seller and prospect pages, then ask it to separate observed facts from inferred needs.
Step 5
Open the sources and verify the person's role, company facts, dates, product claims, and any proposed trigger event.
Step 6
Delete compliments, pain points, or business conclusions that the prospect has not actually stated or that you cannot support.
Step 7
Shorten the message, state the real reason for contact, make the benefit concrete, and avoid pretending the AI conducted personal research.
Step 8
Use accurate sender details and subject lines, required identification and address information, and a simple unsubscribe method where applicable.
Step 9
Use a service that honors suppression lists, authentication, rate controls, consent records, and opt-out deadlines.
Step 10
Track complaints, unsubscribes, positive replies, booked meetings, factual corrections, and reputation by source and campaign.
Cost
Cold Mail by DoMore.ai does not publish a separate fee; access follows the user's ChatGPT plan and limits. Existing GPTs can be used on Free accounts after sign-in. ChatGPT Go is $8 per month in the US, Plus is $20 per month, and Pro is $200 per month. Prices, taxes, regional availability, model routing, and usage limits can change. A sending platform, data provider, email domains, and compliance operations are separate costs.
$0
Use existing public GPTs after signing in, subject to Free-plan limits.
$8/month in the US
Lower-cost consumer plan with higher eligible-feature limits than Free.
$20/month
Consumer plan with higher ChatGPT limits and broader feature access.
$200/month
Highest-access individual plan for users who need substantially more ChatGPT capacity.
Pricing checked . Check current pricing at the source ↗
Assessment
Compare
The right alternative depends on the specific output, workflow, controls and budget your project requires.
Sales
Choose Lavender for a dedicated sales-email coach with inbox workflow and team-oriented writing feedback.
Explore Lavender →Business Operations
Choose standard ChatGPT when you want to design and control your own research, compliance, tone, and review prompt instead of using this preset workflow.
Explore ChatGPT →Content Creator
Choose Email Humanizer when the draft is already researched and you mainly need help making its tone clearer and more natural.
Explore Email Humanizer →Questions
It is a third-party custom GPT in ChatGPT that uses a seller's website and a prospective customer's website to research both businesses and draft personalized outreach.
Yes. Its public GPT page is active. You can view the page without an account, but OpenAI requires users to sign in before chatting with a GPT.
The GPT has no separate published fee. Signed-in ChatGPT Free users can use existing GPTs within plan limits; Go, Plus, and Pro provide different levels of access at their current subscription prices.
No. It creates drafts. You still need an approved sending platform, authenticated email infrastructure, recipient records, suppression handling, and human approval.
The intended inputs are your public offer URL and a prospect's public company page. Avoid private CRM notes, personal identifiers you do not need, confidential data, login credentials, and sensitive attributes.
Not automatically. The sender must determine which laws apply and add the required consent or lawful-basis records, identification, address, disclosure, and unsubscribe controls. Obtain qualified advice for the jurisdictions you target.
OpenAI says GPT builders cannot view individual conversations. However, consumer-plan data use depends on your settings, and a GPT with an external app or API may send relevant input to that third party.
No. OpenAI says custom GPTs do not use saved memory, personal custom instructions, or previous conversations. Each new conversation starts fresh.
Open every cited page and verify the person's role, company details, timing, problem, fit, and claims. Remove anything inferred but unproven, then rewrite the message in the real sender's voice.
Bottom line
Cold Mail by DoMore.ai is a useful free-to-access starting point for one-to-one outreach because it forces the writer to compare a real offer with a real prospect page. Its value ends at the draft: it cannot establish lawful contact, reliable facts, real buying intent, deliverability, or good judgment. Use it for careful research-assisted editing, never automated volume sending.
Visit Cold Mail by DoMore AI website ↗
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