The prompt is already a qualification brief
Company size, sector, urgency, budget: the buyer gives all of it to get a good answer. A context hint describing that situation therefore attracts a lead who has introduced themselves before clicking.
// use case · B2B lead gen
A B2B buyer describes their problem, team and budget to ChatGPT before touching a form. The mechanics come down to five links: intent, ad, landing page, conversion event, CRM. At the far end, we read a cost per SQL, never a cost per click.
our 80-person manufacturing SMB is aiming for ISO 9001 within a year, how do we choose the consultancy to support us?
At that size, what matters in a consultancy is its ability to work with your teams without adding a headcount. Before comparing quotes, ask it three questions: who writes the procedures (them or you), how many on-site days are included, and what happens if the certification audit fails?
ISO 9001 for SMBs
Free diagnostic, 12-month plan, quote in 48h.
your-consultancy.com
// why this use case
A lead proves nothing until a meeting has actually happened. On ChatGPT as anywhere else, the channel is judged on meetings held, opportunities opened in the CRM and what they cost.
Company size, sector, urgency, budget: the buyer gives all of it to get a good answer. A context hint describing that situation therefore attracts a lead who has introduced themselves before clicking.
Ad group → intent → ad → landing page → event → CRM: if a single link is missing, you buy clicks without knowing which ones produced a meeting. Hence a complete chain before the first ad.
OpenAI's native report stops at six columns of volume and spend. Cost per SQL is read in your CRM, provided you have clean UTMs and the Conversions API: that's where we look.
// intents
Typical prompt
"Which firm to outsource payroll for a 60-employee company across three sites?"
What the ad has to do
Show up while the buyer has no name in mind: the ad names the situation (60 employees, multi-site), not a list of services.
Typical prompt
"Local integrator or the vendor directly to roll out an ERP in a 150-person SMB?"
What the ad has to do
Carry one concrete, verifiable difference (timeline, support, total cost), with one argument per ad.
Typical prompt
"Our reps keep losing follow-ups, how do we structure tracking without hiring?"
What the ad has to do
Catch the need before it has a category name. The landing page starts from the problem, not the product.
Typical prompt
"What should an industrial maintenance quote include so I can compare three suppliers?"
What the ad has to do
Answer the deciding criteria, then lead to a quote request or a meeting scoped to that exact case.
// context hints
Whether you sell accounting, ERP or recruitment, B2B hints fall into three families: the provider being sought, two options being compared, a problem not yet named. Each family becomes an ad group.
Generate your context hintsIllustrative excerpt. The real structure is built from your search terms, sales calls and support tickets.
AG · Finding a provider
AG · Comparison
AG · Concrete problem
// scenarios
Three examples that tie a conversation to an ad, a page and a metric. They are not delivery promises.
// measurement
For B2B lead gen, the foundation is three pieces: the OpenAI Pixel on the confirmation page, the Conversions API to send CRM statuses back, and UTMs with utm_source=chatgpt on every link. Without them the native report gives you volume and nothing else; with them, the account can be read against the Hiints Index.
Cost per SQL
The number that decides. A low CPL with unqualified leads ends up costing more than a high CPL that finishes in a meeting.
Post-lead qualification rate
Share of lead_created that become SQLs. It tells you whether the context hints describe the right buyers.
Time to meeting
From the click to appointment_scheduled. It shows how mature the captured intent is and sets the attribution window.
Pipeline value
Value of the opportunities the channel opened in the CRM, to be read against spend rather than against the number of leads.
CAC vs Google Ads
Same period, same offer, same definition of a customer. On the HR SaaS case, final customer CAC came out 22% below Google Ads, which says nothing about another account.
Your cost per opportunity vs the Index
Your CPC and cost per opportunity set against comparable B2B accounts, since OpenAI publishes no benchmark.
// honest qualification
Yes, clearly
Your buyer is an operational profile (sales ops, HR, finance, quality, procurement) able to book a meeting alone, your CRM distinguishes lead, SQL and opportunity, and one landing page per intent doesn't scare you.
Yes, with one caveat
Targeting a senior decision-maker (CIO, CFO, enterprise MD)? Ads only show on ChatGPT's Free and Go plans, and those profiles are often on a paid plan, so they fall outside the perimeter. The case stays workable when the operational buyer starts the search, and the reachable share of your target is assessed before you sign.
Not yet
A sales cycle beyond nine months, monthly media under €3,000 or a CRM unable to send a lead's status back: any one of those is enough to rule the project out, because without a feedback loop we only measure forms. We tell you before we start.
Free setup, done in under 48h. Then 15% of ad spend under €5,000 of monthly media, 10% above. See pricing →
// questions
Yes, with a caveat to know before signing: the audience is users on the Free and Go plans, and a senior decision-maker is often on a paid plan, hence out of reach. The channel is workable when the operational buyer (HR, sales ops, finance, quality) runs the research themselves.
The OpenAI Pixel on the confirmation page, the Conversions API to send CRM statuses back, and UTMs with utm_source=chatgpt on every link. To begin with, two events are enough: lead_created, then appointment_scheduled. Remove one piece and all that remains to read is clicks.
One case is published, an HR SaaS: +30 qualified demos per month, 12 SQLs, a CPL of about €250, a demo-to-SQL conversion rate 70% higher and a final customer CAC 22% below Google Ads. It describes a single account and supports no promise of results for yours.
Ideally one per ad group. The page restates the situation described in the hints above the fold, brings one proof, and offers a single next step: quote or meeting. Sending every intent to the homepage is the first cause of clicks without conversions.
No. A context hint describes a buyer in a situation; it doesn't copy an exact query. Your search terms and sales calls stay useful for understanding demand, but the structure gets redrawn into intent families: finding a provider, comparison, concrete problem.
The budget is set by the value of an opportunity and your target CAC: you need enough volume for a few qualified meetings to show whether the chain holds. Setup is free, and the fee is 15% of media under €5,000 a month, 10% above. With less than €3,000 of monthly media, we advise against testing.
// keep reading
ChatGPT Ads B2B: the Free/Go limit to check before you sign
Ads in ChatGPT only reach the Free and Go plans. Who is still reachable in B2B, how to estimate it before signing, and when the honest answer is no.
Read →TrackingMeasuring ChatGPT Ads Conversions: Pixel, API, UTM and CRM
The native report has six columns and no conversions. OpenAI Pixel, Conversions API, a UTM convention, events by business model and CRM reconciliation.
Read →How-toHow to Structure a ChatGPT Ads Account: Campaigns to Ads
One campaign per objective, one ad group per intent family, one ad per angle. Naming rules, intent families and a complete example for a B2B SaaS.
Read →// shall we talk?
Half an hour, live, is enough to place your category in the Hiints Index. You leave with a clear view of the chain to build, or of why waiting makes sense.
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