Custom-coded · human-approved · Denver built
We make you a bot for the redundant ad tasks you hate. You dream it, we code it and make it real: AI agents for advertising that plug into the Google Ads, Meta and reporting tools you already use, watch your campaigns around the clock, and hand you approvals instead of chores.
You approve spend and public wordsYou own the codeAd pros since 2012
Know what you are buying
All three get called "AI." They do very different jobs, and the difference decides whether your Monday gets easier.
| Question | Ad-platform automation | Chatbot | Custom advertising agent |
|---|---|---|---|
| Where it works | Inside one platform: Smart Bidding, Performance Max, Advantage+, the in-console advisors | In a chat window, when someone types | Across your ad accounts, analytics, CRM, inbox and sheets |
| Whose goal it chases | The platform's conversion signal, with the platform's data | Answering the question in front of it | Your rules: budgets, margins, service area, brand voice |
| What starts it | Auctions, in real time | A person sending a message | A schedule, a new lead, a spend spike, a new review |
| What it can do | Bid, target and assemble ads inside its own walls | Reply with text from scripts or a knowledge base | Read, compare, draft, alert, sync and queue changes for approval |
| Who it answers to | The platform | The visitor | You, with a log of everything it did |
The chatbot-versus-agent split follows TechTarget: chatbots converse, agents act across systems to finish tasks. Platform agents are improving fast; see the Ads Agent launch from Amazon Ads and Google's Ads Advisor as covered by MediaPost. They are strong inside their own walls. Our agents work the gaps between the walls, and they leave the bidding to the platforms.
What it takes off your plate
Each one is a real, repetitive task that marketers, owners and small agencies do by hand every week. Pick one to start; most people do.
It checks spend against your monthly plan several times a day and pings you the moment a campaign is running hot, running dry, or quietly stopped serving.
A human approves: Any budget change. The alert is automatic; the fix is your call.
It reads every new search term, groups the junk (jobs, free, DIY, wrong city), and drafts a negative keyword list with the reason next to each line.
A human approves: Which negatives go live, and at what match type.
It drafts fresh headlines, descriptions and primary text in your voice, checked against character limits and your banned-claims list.
A human approves: Every word before it runs. Nothing publishes on its own.
New form fill, lead ad or missed call? It sends a friendly first touch by text or email right away and tells your team who to call.
A human approves: The templates it may send, and when a person takes over.
Google, Meta, GA4 and your CRM in one plain-English recap: what moved, why it probably moved, and what it suggests next.
A human approves: The report before it goes to a client or a boss.
It loads your ad destinations on a schedule, checks for broken pages, slow loads, missing tags and form errors, and flags them before the money burns.
A human approves: Nothing. It only reports, so there is nothing to approve.
It keeps a running log of what competitors show in the public ad libraries and summarizes new offers and angles once a week.
A human approves: Whether any of it changes your plan.
It drafts warm, specific replies to new Google reviews and nudges happy customers to leave a review right after the job wraps up.
A human approves: Every public reply, especially the unhappy ones.
It matches closed jobs in your CRM back to the ad clicks that started them and prepares the upload, so the platforms learn which leads were real.
A human approves: The mapping of which CRM stages count as a conversion.
Browse all 28 example agent blueprints, filtered by platform and job
Human in the loop, in writing
Before we write a line of code we agree on three lists with you. They become part of the agent's configuration, not a promise in an email.
Your numbers, not ours
Type your own estimates. The calculator only does arithmetic on what you enter; it does not predict results, rankings or sales.
The honest market picture
Adoption is real and rising. So is disappointment, and the reason is usually the plumbing, not the AI.
| Year | Adoption |
|---|---|
| 2025 | 64% |
| 2026 | 74% |
| Year | Share of decisions |
|---|---|
| 2024 | 0% |
| 2028 (forecast) | at least 15% |
In McKinsey's 2025 survey, 62% of organizations were experimenting with agents, yet just 23% had scaled an agentic system in any single function (McKinsey, The State of AI 2025). Gartner predicts a 10-to-1 ratio of AI agents to sellers by 2028, while under 40% of sellers expect to credit agents with a productivity gain; the leaders who clean up data, automation and UX before deploying are five times as likely to get ROI (Gartner press release, July 28, 2026).
How we build it
Four stages, each with a clear deliverable you can say no to.
A free 30-minute call where you show us the task. We map the steps, the tools, the logins and the places a mistake would cost money.
We code the agent for your accounts and rules, test it against a sandbox or read-only data, and write down exactly what it may touch.
For the first weeks every action is only a suggestion. You say yes or no, we adjust the rules, and we log the hours it really frees.
You get the code, the docs and a kill switch. An optional care plan keeps watch and keeps it current with platform changes.
Security and data
Anything that can touch your ad spend gets the same caution as handing someone the company credit card.
If a job only needs to look, the agent only gets to look. Write access covers the exact approved actions on the exact accounts involved.
A readable trail of every report pulled, draft written, message sent and setting changed, with times and approvers.
API keys and tokens live in accounts you control, not ours. Model and hosting usage is billed to you at cost.
Model vendors and settings are picked so your business data stays out of their training sets, and you can read those terms yourself.
Flip it and the agent stops running and cannot write anything. A second step pulls its access entirely. You can pull it from your phone, and so can we.
Health practices: patient information stays out of the agent unless every vendor in the chain has signed a BAA with you. Finance and lending: approvals on every message, and ads that follow the platform's special category rules.
Pricing, honestly
Our own starter pricing is not set yet. For context, agencies that publish 2026 figures quote about $5k–$25k for one-job agents, $15k–$75k for custom integrated ones and $100k–$450k+ for production multi-agent systems; lightweight hosting commonly runs $50–$300 monthly and upkeep 15–30% of the build per year (Neoteric, Cleveroad, DP Vision).
Every Eye To Ad Media agent is quoted as a fixed price after a free 30-minute workflow audit, with no hourly meter. Most single-task agents for small businesses land at the low end of these ranges. See build cost versus running cost.
Questions
It is software that does a repeatable piece of ad work for you on a schedule or a trigger: it reads data from your ad accounts and tools, decides what needs attention using rules and a language model, and then either does a safe task itself (like sending an alert or drafting a report) or puts a suggested change in front of a person for approval.
No. We turn down projects that aim for that. The agent takes the clicking, copying and checking off a person's plate so they can spend their hours on strategy, offers and talking to customers. People still own the decisions that cost money or speak for the brand.
Only if you explicitly allow it, and by default we do not. Our agents suggest budget, bid and status changes and wait for a yes. If you later want small, capped actions to run on their own (for example pausing an ad that points to a broken page), we set that limit in writing and log every action.
Platform AI such as Smart Bidding, Performance Max, Advantage+ and the new in-console advisors works inside one platform toward that platform's view of results. A custom agent works across your accounts, your CRM, your inbox and your spreadsheets, follows your business rules, and does the chores around the campaigns that the platforms do not touch.
Most builds start with Google Ads, Meta (Facebook and Instagram), Google Analytics 4 and Google Search Console, plus the tools around them: Gmail or Outlook, Google Sheets or Excel, HubSpot, GoHighLevel, Slack, Twilio for texts, Calendly, Google Business Profile, Shopify and WordPress. If it has an official API or a reliable export, we can usually work with it.
Yes. The code, the prompts, the rules and the documentation are yours, the API keys sit in accounts you control, and the usage bills go to you at cost. If you ever part ways with us, the agent keeps working and any developer can maintain it.
Our public price list is not set yet. The pricing section above shows the published 2026 market ranges. We quote each build as one fixed number once we have seen the workflow on a free audit call, and small one-job agents usually sit near the bottom of the market range.
It depends on how many systems it touches and how fast we can get access approved. A single-job agent that reads one ad account and sends alerts is a short build. Anything that writes to an ad account adds API access approval and a supervised pilot before it goes fully live. We give you a dated plan after the audit.
Thirty minutes, no slides. Walk us through the ad chore that eats your week and we will sketch the agent, what it would touch, and what you would approve.