Labelled and separate
Sponsored, shown under the answer, never inside it.
LLM B2B ads
LLM ads are labelled placements inside or beside answers from large language model assistants. For B2B they reach buyers at the most specific moment in research: the question itself. IntentBid runs them in your own accounts and names the companies that click.
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Which month-end close software should a 300-person finance team shortlist?
For a team that size on NetSuite, three tools come up most:
Sponsored, shown under the answer, never inside it.
You describe when your offer is relevant; the model matches the conversation.
Relevance-weighted: a better-matched ad can win with a lower bid.
Clicks turned into named, scored companies.
The terms overlap. LLM ads describes where the ad runs: inside assistants built on large language models. AI ads is the broader term that also covers AI features in search. Conversational advertising describes how the ad is matched: to a conversation rather than a keyword or a profile. For B2B, all three mean the same practical thing: being on screen when a buyer asks an AI assistant who to shortlist.
Context hints are not exact-match keywords. Write them as plain phrases about what your product does, who it suits and when it helps.
Advertisers only get aggregated data from OpenAI: impressions, clicks, spend and the conversions they measure. They never see conversations. IntentBid fills the gap for B2B: the company behind each click, the pages it read, its score and stage, and whether it is on your target list.
Pricing
Your own ad accounts, no media markup. Ads and reports never use credits. Standard includes $25 of credits a month.
No. OpenAI says ads run on separate systems and advertisers can't change ChatGPT's responses.
In 2026, ChatGPT (Free and Go users) and Microsoft Copilot show ads, and Google shows ads in AI Overviews through Search campaigns.
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