Managed by Re:Vault. Advertising budget agreed separately.
Illustrative placement · fictional brand · not a live ChatGPT screenshot
How can a small sales team build pipeline in a new market?
A useful plan starts with a defined audience, a clear offer and a way to follow up.
HHarborFlow Sponsored
Build your next-market pipeline
A practical outreach plan for small B2B teams. See how it works.
harborflow.example / pipeline
THE NEXT MARKET PLAN
Explore the plan ↗
A paid placement has its own brand, creative and destination. OpenAI decides when and where an eligible ad appears.
What the buyer sees
A clearly labeled advertisement alongside the ChatGPT experience. The click leads to your site: a product page, a useful guide, an assessment or a demo request. The offer and landing page should answer the need behind the conversation.
Paid ads remain separate from ChatGPT's answers. Buying an ad does not buy a recommendation in the answer. We receive advertising reports; private conversations and a list of individual ad viewers are not available to us.
A useful starting brief
“We help small B2B teams enter a new market” gives the agent a job to work with: a buyer need, an offer, evidence and a next step. Relevance hints help describe that job; they do not guarantee an appearance against a particular question.
Formats, with a job for each
These are illustrative creative treatments. Final presentation, account eligibility and review are controlled by OpenAI.
Supported in our workspace
Single-image ad
A headline, short description, image and destination. Start here for a service, a specific product or a useful piece of content.
Example offer
A guide to entering a new market
Destination
Guide page with an optional follow-up form
Agent's job
Turn the brief into distinct angles, prepare the image and copy, check the destination, and build the campaign on pause.
Fictional creative example
THE NEXT MARKET PLANAudience → offer → first conversation
A clearer route into your next market
See the audience, offer and outreach steps in one practical guide.
harborflow.example / market-plan
Account-dependent · separate setup
Multiple images, one offer
A standard ad can use four to six square images when the account is enabled. The headline, description and destination are shared. Use the images to show different views of the same offer.
Example offer
Four views of a revenue workflow
Destination
One product walkthrough
Agent's job
Plan the visual story, keep the claims consistent and prepare assets for review. This format is not yet created by our current workspace editor.
Illustrative four-image creative set
Find the market
Shape the offer
Start the conversation
Track the outcome
See your revenue workflow
Explore a connected workflow from account selection to sales conversation.
harborflow.example / walkthrough
Account-dependent · separate setup
Product-feed advertising
For eligible catalog businesses, product data supplies the items an ad can use. This is a different campaign setup from a service ad and needs a maintained feed.
Example offer
A selection of workspace products
Destination
The relevant product page
Agent's job
Check titles, descriptions, links and feed quality, then propose relevant product groups. Feed connection and measurement are scoped separately.
Fictional catalog examples · conceptual layout
Task lightFocused desk lighting
Desk organizerA place for the essentials
Catalog content, destination and availability must stay current.
Three sequences we can plan around your offer
These are campaign designs, not reported client results. Timing is illustrative. A sequence advances on a real event or a planned campaign step; an ad impression does not reveal a person's identity.
Situation: a B2B team has a focused offer for a new market and needs both proactive conversations and inbound demand.
Define the offer and account segmentThe agent reviews the brief and approved evidence, then drafts a market-specific angle and landing-page outline.
Publish proof and begin LinkedIn outreachA useful post supports the outreach. Example message: “We put the first-market steps into one guide. Is that work on your desk this quarter?” The sending profile and audience must be approved.
Run contextual ChatGPT advertising in parallelThe ad carries the same offer. Relevant situations might include planning outbound sales or comparing ways to enter a market. It can reach eligible buyers beyond the LinkedIn list.
Route an identified enquiry to salesA submitted form or a LinkedIn reply becomes the handoff. The agent checks the record, prepares the next response and avoids duplicate outreach.
What the agent learns
Compare the questions in replies with landing-page enquiries and campaign reports. Propose a clearer next angle. Clicks alone do not establish which message generated pipeline.
From useful guide to qualified callChatGPT Ads + landing page + permission-based emailexpand_more
Situation: buyers need to understand a problem before they are ready for a product demo.
Offer an answer worth openingExample ad: “Plan your first outbound campaign.” The landing page contains the promised guide and a clear choice to request follow-up.
Deliver what the person requestedOn form submission, the connected email workflow sends the guide. Example: “Here is the market-entry worksheet you requested. Which market are you working on?”
Follow up with one useful next stepIf the person opted in and has not replied, a planned follow-up can offer an example relevant to their stated role. The agent checks consent and previous messages before preparing the next touch.
Hand the conversation to the right personA positive reply becomes a sales conversation. A booking, decline or unsubscribe stops the corresponding follow-up sequence.
What must be connected
The form, email sender and CRM events. Attribution and conversion instrumentation are configured for the campaign; they are not automatically supplied by an advertising API key.
One launch, several ways to discover itLinkedIn Ads + founder content + ChatGPT Ads + sales follow-upexpand_more
Situation: a product launch has a defined audience, a credible demonstration and a booking or enquiry destination.
Build a shared campaign briefThe agent maps each buyer concern to proof: a product walkthrough, a practical document or an answer from the founder.
Give each channel its own creativeA LinkedIn feed ad can introduce the demonstration to the selected audience. A founder post explains the problem. The ChatGPT ad offers the walkthrough when relevant.
Keep the destination and promise consistentEach link carries its own campaign tags. The landing page shows the same offer, while enquiries retain the source recorded by the connected systems.
Continue in the channel the person choseRespond to a LinkedIn reply in LinkedIn, an email enquiry by email, or an opted-in Telegram conversation in that chat. The salesperson receives the question and relevant campaign context.
What the agent coordinates
Creative versions, channel-specific copy, known contact state and next actions. We do not assume that a LinkedIn contact and an anonymous ChatGPT viewer are the same person.
What makes this AI-agent managed?
The agent works on a continuing campaign task with a brief, tools, saved state and a decision history. Each recommendation has an input, an action and something to check afterward.
Campaign work
What the agent does
Evidence / human decision
Choose an angle
Reads the approved offer, audience and source material. Drafts several buyer situations and creative variants.
A person checks factual claims, positioning and the first campaign direction.
Prepare the campaign
Checks fields, dates and budget currency; creates the campaign, ad group and single-image ad on pause. Keeps saved IDs for retries.
The prepared campaign can be inspected before launch. OpenAI reviews eligibility.
Coordinate channels
Adapts the offer for LinkedIn, email and the landing page. Uses connected CRM and reply state to prepare the next action.
Approved audiences, working integrations and a known contact determine what can be sent.
Review delivery
Reads spend, impressions and clicks. An operator can ask it to compare creative and explain a proposed next test.
Reports can lag. Conversion conclusions require configured measurement and enough evidence.
Improve the next version
Combines campaign evidence with the objections people actually raised. Proposes one change and the result it should improve.
Launches, budget increases and material strategy changes remain human decisions.
Available in our workspace today
Connect an ad account, prepare a single-image campaign on pause, see campaign delivery, retry an interrupted setup and pause a campaign.
Configured for the engagement
Landing pages, forms, conversion events, CRM joins and cross-channel workflows. Extra formats depend on account access. A recurring autonomous optimization loop is not part of the current Ads integration.
Re:Vault agents manage the advertiser's work. OpenAI operates ad selection and delivery. These are separate responsibilities.
Where channels can overlap
A shared offer and learning
Use the same buyer problem, proof and destination across channels. Questions from LinkedIn replies can improve an ad brief. A submitted enquiry can inform the next sales response. Campaign tags keep the sources distinguishable.
Audience lists, where eligible
OpenAI supports first-party custom audiences subject to account, rights, matching and size requirements. Inclusion currently needs at least 25,000 matched users. Personalized audiences are unavailable for EEA and Switzerland campaigns. A typical small B2B prospect list is not enough.
Broker-sourced lists are not accepted for OpenAI audience uploads. We do not upload a purchased sourcing list or identify people from private chats. For a small B2B campaign, start with contextual relevance and a clear conversion path.
Measure the step you are paying for
Delivery
Impressions, clicks and spend in the connected ad account.
→
Enquiries
Recorded forms, requested content and identifiable replies.
→
Sales outcomes
Qualified conversations, meetings and deals in your connected CRM.
Our current Ads reporting covers delivery. Website events and CRM reporting require their own setup. A click is not a lead, and a platform-attributed conversion is not automatically a qualified meeting. Spend can appear later than clicks; we use the agreed campaign budget to constrain the test.
What we need to start
Your offer and evidenceThe audience, the problem, substantiated claims, usable brand assets and a working destination.
A campaign scopeCountries, objective, total media budget, schedule and the follow-up channels we will connect.
Account and written authorizationOne ad account for your business, the required review and billing setup, and authority for Re:Vault to manage your advertising.
A reviewed launchWe prepare the campaign on pause. A person checks the final settings and authorizes activation in Ads Manager.
You pay Re:Vault. We manage the media purchase.
Our engagement separates management from the agreed advertising budget. Re:Vault handles payment to OpenAI under the agency arrangement. Each advertiser keeps a separate campaign account and reporting scope. The proposal states the funding terms, limits and reconciliation; this page does not start a subscription or a campaign.
Bring one offer. We will map the campaign.
We will work through where ChatGPT Ads fits, what LinkedIn and email should do around it, and what we need to measure before calling the test successful.
No. Paid placements are separate from the answer. We buy advertising delivery, not a recommendation inside the response.
Can you reach the exact people on our LinkedIn list?
We can coordinate the campaign offer and follow-up across channels. OpenAI audience matching has separate data, market and size requirements. We cannot promise that a particular LinkedIn contact sees a ChatGPT ad.
Will the agents launch and increase budgets on their own?
The current integration creates campaigns on pause. Activation is handled separately in Ads Manager. A person approves launch, budget increases and material strategy changes.
Do you already have ChatGPT Ads client results?
This page shows illustrative campaign designs, not performance case studies. We will agree the test, its measurement and the decisions it can support before launch.
Platform references
Platform capabilities checked 4 November 2026. Availability depends on account, market and approval.