Short answer
AnswerBid builds workflows for Conversational Intent Advertising (CIA): a repeatable way to turn the questions B2B buyers ask AI assistants into ads, pages, named companies and sales conversations. There are seven: question mapping, intent tiering, conversation-matched creative, continuation pages, company identification, signal routing and the answer loop. Together they replace "pick accounts, then wait for intent" with "answer the intent, then learn the account".
Why B2B needs new workflows
B2B marketing workflows were built for a world where intent was hidden. You picked accounts, showed them ads on LinkedIn and across the web, and waited for a sign: a download, a surge score, a pricing page visit. Most of the budget went to accounts that weren't buying yet.
AI assistants change that. Buyers describe their problem, their constraints and the vendors they're weighing to an assistant, often before they visit a single website. In G2's 2026 survey, 51% of B2B software buyers said they start research in an AI chatbot.
Most advertisers in ChatGPT today run it like search: a list of keywords pasted in as context hints, one generic ad, the homepage as the landing page. That captures some clicks. It misses the point of the channel.
We're building new workflows for Conversational Intent Advertising because we believe this shift will change how the B2B market buys and sells as deeply as ABM did. These are the seven workflows we run for clients every week.
Workflow 1: Question mapping
Goal: a list of the questions your buyers ask before they choose, in their words.
- Sales call notes and recordings: the first thing prospects say they're trying to fix
- CRM won and lost reasons
- Reviews of you and your competitors
- Support tickets from the first 90 days of new customers
- What ChatGPT, Perplexity, Google AI and Copilot answer about your category today, and who they name
Output: 30–60 buyer questions, each with the company size, industry and stack that make it yours. This is the same map we use for AI visibility, so paid and organic work from one list. How to build a buyer question map.
Workflow 2: Intent tiering
Goal: an account structure where each ad group is one question at one stage.
| Tier | Example question | Budget weight | Judged on |
|---|---|---|---|
| Decision | "[Product] vs [competitor] for a 400-person company: pricing?" | High | Meetings, opportunities |
| Vendor | "Best close software for NetSuite companies" | High | Fitting companies identified |
| Solution | "Tools that automate account reconciliations" | Medium | Fitting companies, page depth |
| Problem | "Why does month-end close take two weeks?" | Low | Cost per fitting company, new questions learned |
Each ad group gets 20–60 context hints: the ways buyers phrase that one question. Narrow hints spend more slowly, and that's expected, because only buyers like yours describe that problem. How to write context hints.
Workflow 3: Conversation-matched creative
Goal: an ad that reads like the next useful line in the conversation.
- Answer the question the buyer will ask next, not the one they just asked
- Use the buyer's words from the question map, not your positioning statement
- Make one specific claim you can prove on the landing page
- Stay inside OpenAI's ad policy on claims, comparisons and sensitive categories
| Generic ad | CIA ad for the same question |
|---|---|
| "Ledgerline: modern accounting software. Book a demo." | "Close in 5 days on NetSuite. See how 300-person teams cut close time, with pricing." |
More examples: how to write ads for conversational AI.
Workflow 4: Continuation pages
Goal: a page that continues the conversation instead of starting a new one.
- The first line restates the buyer's question
- The first screen answers it, with a number, a comparison or a price
- One next step that fits the stage: pricing, a comparison, a demo
- Written so AI assistants can read and quote it, which also helps your AI visibility
One page per group of related questions, usually 3–6 pages for a first test. Which landing pages work for ChatGPT ads.
Workflow 5: Company identification and ICP scoring
Goal: know which companies came from each question.
- Visits from business networks are matched to company records. Companies, never individuals.
- Each company is scored against your ideal customer profile: size, industry, region, stack
- Companies on your target account list are flagged
- Up to 250 named companies a month are included in every AnswerBid package
This is what turns a question-based channel into account-based results. Which companies come from ChatGPT?
Workflow 6: Signal routing
Goal: every fitting company reaches the right next step the same day.
| Signal | Goes to | What happens |
|---|---|---|
| Fitting company, decision question | CRM and Slack or Teams, same day | Account owner follows up with the question as context |
| Fitting company, any question | LinkedIn company-list audience | The buying group sees ads on the same topic |
| Target-list account | Programmatic priority tier | Higher frequency until a meeting is booked |
| Non-fitting company | Report only | Used to tighten context hints |
Details: sending company signals to your CRM and orchestrating ABM with AI ads.
Workflow 7: The answer loop
Goal: paid ads and AI visibility make each other better.
- Questions that bring fitting companies are the ones that matter most to your pipeline.
- For those questions, we improve the pages and sources AI assistants read, so the organic answer names you too.
- When the organic answer names you, the ad underneath reinforces it instead of fighting it.
- Questions that bring nothing are retired, and new ones from sales calls are added.
This is why our packages combine ChatGPT ads with AEO and GEO. In CIA, being the answer and being the ad under the answer are one strategy.
The weekly rhythm
Every Monday, the report and the changes follow the same order:
- Which questions brought companies that fit your profile, and at what cost
- Which target accounts showed up, and what they read
- Budget moved towards the questions that work
- Context hints tightened where non-fitting companies came
- New questions added from sales feedback
- Pages and sources to improve for the answer loop
The first 90 days
| Weeks | What happens |
|---|---|
| 1–2 | Question map, intent tiers, account setup, tracking, company identification, first continuation pages |
| 3–6 | Campaigns live on click bidding; weekly reports; first named companies to sales |
| 7–10 | Conversion bidding once demo requests are tracked; routing to LinkedIn and programmatic; answer-loop page work |
| 11–13 | Scorecard: scale, fix or stop, question by question |
How we score the test: how to measure Conversational Intent Advertising.
What CIA workflows change for B2B
| The usual B2B workflow | The CIA workflow |
|---|---|
| Start from an account list | Start from the questions buyers ask |
| Infer intent from behaviour | Respond to intent the buyer declares |
| The ad interrupts content | The ad continues the answer |
| Account known before the click, intent unknown | Intent known at the click, account named after it |
| SEO, paid and ABM run by different teams | One loop from question to ad to page to sales |
| Judged on impressions and clicks | Judged on fitting companies, meetings and pipeline |
We think these workflows will change the B2B market, and we're building them in the open. Our case study, public audit and sample reports show the work. The channel is young, though, and we date and source every claim we make about it.
Questions
Do we need an ABM platform to run CIA workflows?
No. The workflows work with a CRM and a Slack or Teams channel. If you have an ABM platform or a DSP, identified companies can feed it as a priority tier.
Can we run these workflows in-house?
Yes. Everything here can be done by an in-house team with time for weekly analysis. Agencies help most with the question map, creative and identification setup. See our agency vs in-house guide.
Which ad platforms do the workflows use?
ChatGPT ads are the core in 2026. The same question map can drive ads in Microsoft Copilot and Google's AI features, and feeds LinkedIn and programmatic audiences.
How long until we see results?
Named companies usually arrive in the first weekly reports after launch. Meetings and pipeline take longer and depend on your sales cycle, so plan for a 90-day test.
Facts checked against the sources below on 14 October 2026. AI ad platforms change quickly: if something here no longer matches what you see, tell us and we will update it.
