AI agents for marketing, built around your team and tools
We build AI agents for marketing teams that respond to and score inbound leads, draft nurture emails and repurposed content, and assemble campaign reports from your ad and analytics accounts. Every customer-facing word goes through a person before it is published or sent.
- New leads answered and scored within minutes
- Drafts checked against your approved claims list
- Opt-outs and consent checked before every send
Where marketing time disappears
Leads cool while they wait
Form fills arrive at night or during a campaign spike, and the reply goes out next afternoon, after the prospect has booked elsewhere.
Reporting eats every Monday
Someone exports from Google Ads, Meta, GA4 and HubSpot, pastes it all into a spreadsheet and writes the same commentary each week.
Content stalls in approval
One webinar should become a blog post, three emails and a set of social posts. Instead it sits in a doc for a month.
Marketing agents we build
Each works inside your CRM, email platform and ad accounts, and each has a review step before anything goes public.
Inbound lead responder
Reads the form or email, checks the CRM for an existing record, sends an approved reply template fitted to the question, and logs the touch in HubSpot or Salesforce.
Lead scoring and routing
Scores each lead on fit and intent from what they wrote and what they viewed, then routes it to sales or a nurture track with the reasoning recorded.
Nurture and re-engagement drafts
Drafts sequences in Klaviyo, Mailchimp or HubSpot from your past best performers, with sender identity, postal address and unsubscribe link left intact.
Content repurposing
Turns a webinar transcript, case study or long post into emails, short posts and a blog draft in your style guide, queued for an editor.
Campaign reporting
Pulls spend, conversions and pipeline from the Google Ads API, Meta Marketing API, GA4 and your CRM into one weekly summary with notable changes called out.
SEO brief builder
Builds content briefs from your keyword data and existing pages, listing questions to answer and internal links to add, for a writer to work from.
Where marketing agents earn their place
Sales hand-off
Qualified leads passed to reps with the conversation summarized.
Agency client reporting
Monthly client reports assembled from each ad account.
Med spa consult inquiries
Inquiries answered quickly, with outcome claims kept out of replies.
Real estate lead response
Portal and website leads answered and logged in the CRM.
Remodeling project inquiries
Inquiries qualified on scope, budget range and timing.
Webinar and event follow-up
Attendees and no-shows sent tailored follow-ups the same day.
Built around the rules marketing has to follow
CAN-SPAM kept in the send path
Commercial email needs accurate sender details, an honest subject line, a physical postal address and a working opt-out that is honored. Drafts cannot strip those elements.
Texts only with the right consent
Marketing texts fall under the TCPA, which requires prior express written consent for many automated messages. The agent checks a consent field before drafting any text, and your counsel sets the rule.
No invented claims or reviews
The FTC treats unsupported performance claims and fake reviews, including AI-written ones, as deceptive. Drafts stick to your approved claims list and never generate testimonials.
Your playbook stays with you
The style guide, prompt library and ad and email connections live in your company's accounts, so changing agencies does not take your setup with it.
“He got me 9 sales in my first 7 days of launching our campaign, which exceeded my expectations!”
Common questions
What are AI agents for marketing?
Software that handles recurring marketing tasks, such as answering and scoring leads, drafting emails and content, and building reports, inside your CRM, email platform and ad accounts, with a person approving what goes public.
How is this different from HubSpot or Klaviyo automation?
Those tools run fixed sequences well, and we use them. An agent adds reading and writing: it understands what a lead actually asked, drafts a reply to that question and picks which sequence fits.
Can the agent write in our brand voice?
It drafts from your style guide and past approved work, and editors correct it in the review queue. The voice gets closer with each correction, but a person still signs off on anything new.
Will it send texts to leads?
Only where your consent records allow it and your counsel has approved the rules. Many clients start with email only, where CAN-SPAM is simpler to design around.
Can it run or change our ad campaigns?
It reads performance data from Google Ads and Meta and suggests changes with its reasoning. Budget and bid changes stay with your team; the agent gets no write access to spend.
How do you handle opt-outs and privacy requests?
Unsubscribes and suppression lists in your email platform are checked before every send. Deletion and opt-out requests under state privacy laws such as the CCPA go to the person who handles them, with the records the agent touched listed.
Find the marketing agent that pays back first
Take the 2-minute AI audit to see where leads and hours leak, and which marketing agent to build first.
- Gather your best past work
Top-performing emails, approved posts, your style guide and a list of claims you can and cannot make. This becomes the agent's reference.
- Draft everything into a review queue
For the first weeks every reply, email and post lands as a draft for a marketer to approve, edit or reject. Edits shape the next draft.
- Let routine replies send alone
Approved template replies to standard inquiries can go out unattended once the edit rate is low. New claims and campaigns stay with a person.
- Compare against last quarter
Each month we report response time, lead-to-meeting rate and hours spent on reporting next to the period before launch.