ChatGPT Ads agent for sales-led B2B companies

Finds the ChatGPT spend caps, billing holds and limits that are silently blocking delivery, and clears them.

Finds rejected or limited ChatGPT ads, fixes what is fixable and appeals what was rejected by mistake.

A weekly ChatGPT readout of spend, conversion volume and cost per goal against baseline, with the three campaigns that moved the number most.

Catches ChatGPT spend spikes and drops against the expected daily pattern before they blow the budget or stall delivery.

Keeps ChatGPT month-to-date spend on the curve that lands exactly at the channel budget, without overspend or a dead last week.

Shows where ChatGPT conversions actually happen by platform (iOS app, Android app and web) and decides which to keep, split out or exclude.

Improves the quality of the conversion data ChatGPT optimizes on: deduplication, match quality, primary vs secondary actions and values.

Checks ChatGPT custom audiences built from first-party lists for age, size and exclusions, and flags what the team needs to fix in the CRM sync. Roadway never uploads contact data.

Joins ChatGPT leads to CRM stages so you can see which campaigns create pipeline, not just form fills.

Summarizes which conversation contexts trigger your ChatGPT sponsored cards and which ones convert, so you can tune context hints.

Detects when ChatGPT conversion tracking breaks or double counts, and protects automated bidding from bad data.

Ad-level decisions for ChatGPT: pause losers only on cost per goal, keep winners, rebuild ads with the right concept and the wrong execution.

Decides which ChatGPT audiences to expand, narrow, exclude or keep, based on cost per goal and lead quality.

Rewrites ChatGPT ad context hints so sponsored cards match the right conversations, since there are no keywords or negatives.

Finds which hooks, formats and messages win on ChatGPT, then drafts the next round of images in Figma, Canva or Runway. Needs an image MCP such as Figma, Canva or Runway connected in Roadway.

Looks at how the title and copy on each ChatGPT sponsored card are performing, replaces the weak ones, adds missing angles and keeps the strongest.

An onboarding audit of the whole ChatGPT account: structure, tracking, bidding, targeting and creative, ranked by impact, with the workflow that fixes each issue.

Builds ChatGPT ad groups for conversations where people compare or look for alternatives to competitors.

Runs a small number of ChatGPT copy tests at a time, one variable per test, and promotes a winner only on cost per goal.

Proposes and runs controlled tests of new ChatGPT targeting, so new audiences are found deliberately rather than by accident.

Tests which offer (demo, trial, discount, lead magnet, quote) and call to action gets the best qualified results on ChatGPT, one change at a time.

Shifts ChatGPT budget between campaigns inside the channel, from the ones past their cost guardrail to the ones with headroom, and holds total channel spend flat.

Finds the ChatGPT campaigns and context hints plus country, platform (iOS app, Android app, web) and custom audience targeting that beat your cost per goal and scales them without breaking efficiency.

When new reviews, ratings, awards or customer wins land, works the strongest proof into ChatGPT ads.

When ChatGPT cost per goal jumps, breaks the change down into what you pay per click, how many people click and how many convert, and fixes the real cause.

Picks the right ChatGPT bid strategy and target for each campaign based on its conversion volume, maturity and goal.

Finds the ChatGPT campaigns where the landing page is the problem, drafts a challenger page in your page builder, and lays out a controlled test against the current page. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

Takes proven ChatGPT targets and tests the adjacent ones (neighboring situations and questions) to find the next layer of scale.

Takes proven ChatGPT campaigns into new countries or regions in a controlled way.

Gradually steps ChatGPT bid targets up or down to find the point where extra volume still pays back.

Watches your changelog and launch calendar, and spins up ChatGPT launch campaigns and copy refreshes for meaningful releases.

When brand search impression share on Google or Microsoft dips below target (usually a competitor bidding on your name), the Meta, LinkedIn and ChatGPT coworkers raise brand-defense spend on the people being targeted: recent site visitors, high-intent accounts and branded ChatGPT contexts.

Builds draft landing page variants from the ad angles that win on ChatGPT, so each winning promise has a page that matches it. Needs a page builder MCP such as Webflow, Framer, Lovable or Ploy connected in Roadway.

A test-and-learn loop for ChatGPT ads: writes new titles and one-line copy from the winning angles, tests each against the current best with a fixed split, and retires the losers on cost per goal once there is enough data.

Finds where extra spend stops paying off for every ChatGPT campaign and sets budgets where the next dollar works hardest.

Spins up paid campaigns on the queries behind your best organic pages, using rankings from the Semrush or Ahrefs MCP, so winners get more than their organic share. Add the Peec AI MCP to include pages that AI answers cite. Needs the Semrush or Ahrefs MCP connected in Roadway.

An opt-in workflow that watches competitor status pages and, during a major outage, proposes a surge of ChatGPT spend on switch-intent audiences with pre-approved copy. Every surge waits for your approval, even if auto-approve is on.

Monitors competitors in the ad libraries (Google Ads Transparency Center, Meta, LinkedIn, X) and through web search, and drafts counter-positioning copy for every channel when their messaging shifts.