Objection Handler / OpenAI Ads Client Partner, Ads Solutions · Application by Tomi Gbeleyi

You're looking at the prep tool
I'd run my book with.

For my application to the Client Partner role, I figured it's better to show than tell. Objection Handler maps the objections advertisers are raising about ChatGPT ads, by vertical: what's true, the counter, the next step.

objection-handler · live demo
Mapping Travel

Travel

airlines, OTAs, hotels
01

The Room

A VP of Performance who owns blended CAC, and a Head of Measurement with the veto. Interested, unconvinced, better at math than you.

02

Objection One

They say
"Attribution is unproven and the reporting is thinner than Google's."
What's true
It is, today.
The counter
Design the test on their incrementality framework, not our reporting.
Next step
Their measurement lead in meeting one, not meeting three.
03

Objection Two

They say
"By the time the ad shows up, the model already told the traveler what to book."
What's true
Sponsored slots render after the answer. Published design.
The counter
In travel the answer is a shortlist, and a shortlist is where a contender wins.
Next step
Build around comparison queries, not single-answer ones.
04

Objection Three

They say
"Our budgets are committed to Google and Meta."
What's true
Nobody unwinds core spend for an early platform.
The counter
The ask is experimental budget with a proof bar, not a reallocation.
Next step
Size it so finance can approve without touching the annual plan.
05

Test Structure

Geo-holdout or cohort test. Incremental bookings and cohort CPA vs blended CAC. Scale gate agreed in writing.

06

The Close

A 90-day cohort on their framework, exec review at day 45. Small enough for a yes, structured enough to scale.

Retail & Beauty

omnichannel, DTC
01

The Room

A VP of Media and an eCommerce lead, with brand and legal one door down. Curious, brand-protective.

02

Objection One

They say
"An AI conversation is a brand-safety risk we can't control."
What's true
The bar should be high.
The counter
Ads are labeled and separate from answers; sensitive-conversation limits are published policy.
Next step
Do the policy walkthrough before they ask.
03

Objection Two

They say
"What if the model recommends against us and our ad sits under it?"
What's true
The answer is earned, not bought. As it should be.
The counter
Show up in comparison moments in categories you already win on merit.
Next step
The ad amplifies. It never argues.
04

Objection Three

They say
"Early click-through rates look weak next to search."
What's true
Early CTRs trail Google's. On record.
The counter
Measure assisted basket size and new-to-brand rate, not last-click.
Next step
Agree the metric set before launch, or the retro writes itself.
05

Test Structure

Assisted-journey cohort vs a paid-social lookalike: new-customer CPA, basket size, loyalty signups.

06

The Close

One category, 60 days, brand team in the room.

Local & Delivery

marketplaces, on-demand
01

The Room

A VP of Growth plus finance, at a company that runs its own ads platform. They'll out-math a weak pitch in ten minutes.

02

Objection One

They say
"Your CTR is lower than what we get on Google."
What's true
On early benchmarks, yes.
The counter
Judge the surface on CPA and incrementality, not CTR.
Next step
Offer the geo-holdout on day one.
03

Objection Two

They say
"Branded search already captures this demand."
What's true
Some of it, at a rising price.
The counter
A new surface is the cleanest read on what's truly incremental.
Next step
Frame it as the cannibalization audit finance already wants.
04

Objection Three

They say
"The tooling is rudimentary. Very few levers."
What's true
Fewer levers than Google Ads. No pretending.
The counter
The window is before the tooling matures and the auction fills.
Next step
Their product feedback becomes part of the deal.
05

Test Structure

Geo-holdout, two matched metros: new-customer CPA, 90-day frequency, measured cannibalization.

06

The Close

Six weeks, two metros, read together weekly. If the holdout works, scaling is a spreadsheet conversation.

Fintech

regulated categories
01

The Room

Compliance first, CMO second, growth third. That ordering is the point.

02

Objection One

They say
"We can't risk a regulatory headline for an experimental channel."
What's true
Completely. No test is worth an enforcement letter.
The counter
Policy before commerce: cleared products, approved claims, then spend.
Next step
First meeting is compliance-to-policy, not sales-to-marketing.
03

Objection Two

They say
"AI answers about money are a minefield."
What's true
Money deserves the highest bar on any surface.
The counter
Answer-ad separation beats any keyword blocklist they run today.
Next step
Policy docs in their compliance file before the pitch deck.
04

Objection Three

They say
"The measurement is thin, and our audit trail needs more."
What's true
Reporting is early. Regulated advertisers need more.
The counter
Define the audit trail together; their requirements become the template.
Next step
Route them to the ads team as product feedback.
05

Test Structure

Cleared-scope pilot, one product line. Metrics set after scope, not before.

06

The Close

Two quarters: policy now, pilot next. How I built Google's regulated book from zero.

Live demo · auto-plays, no input required · the demo shows the room and the first objection; the full report adds two more, the test structure, and the close
Static mockup, pre-written from public reporting. No OpenAI advertiser relationships assumed or represented.
Tomi Gbeleyi · tgbeleyi@gmail.com · linkedin.com/in/tomigbeleyi