What used to be a fairly linear funnel (search, click, landing page, call) is now fragmenting into AI-generated answers, conversational recommendations, compressed SERPs, and automated interpretation layers that sit between intent and action.
For law firms, this creates two simultaneous realities: Google is getting more automated, less transparent and more competitive at the keyword level, while ChatGPT is introducing a conversation-native ad environment where intent is interpreted instead of explicitly searched.
ChatGPT Ads for lawyers: the first real look at conversational advertising
ChatGPT Ads mark a shift from keyword-based search advertising to conversational intent. Instead of bidding on searches, ads are inserted into AI-driven conversations where users ask questions, describe problems, and receive direct answers.
ADSQUIRE has been active in the early rollout, and got the first legal ad to serve as inventory opened. The platform is still evolving quickly, but the structure is already clearly different from Google Ads: minimal setup, no keyword system, and delivery driven by conversational context rather than search queries.
Structurally, the system is intentionally simple:
- One headline
- One description
- One image
- A destination URL
- A logo set at account level
But simplicity on the surface hides complexity underneath. Legal advertisers face friction around verification, category restrictions and creative approval sensitivity.
Context hints in place of keywords
Targeting is done through context hints, short descriptions of conversation types where ads should appear. There are no keywords or match types. Instead, advertisers define intent environments, and ChatGPT determines placement based on relevance in conversation.
Simple setup, early-stage pricing
Campaigns require only a headline, description, URL, image and logo. CPCs around $3.50 and $25/day minimums are still low due to limited competition, especially in legal. This pricing window is likely temporary.
Instead of capturing demand, ads are being inserted into the formation of demand itself. Google is declared intent. ChatGPT is interpreted intent. That difference changes everything about targeting, messaging and timing.
Google’s “sticky scroll” AI box: SERPs becoming answer engines
Google is testing a sticky “Ask Anything” AI prompt that follows users as they scroll through search results, including ads, organic listings and AI Overviews. When users interact with it, they are moved into a conversational experience where ads are no longer visible, organic listings are bypassed, and follow-up queries stay inside AI Mode.
This is a funnel compression mechanic. Instead of search leading to decision points on external websites, Google is increasingly keeping users inside its own AI layer where additional questioning replaces clicking.
AI ad group prioritization: meaning over keywords
Google is now using AI to decide which ad group enters the auction based on semantic meaning, not just keyword matching. Ad groups compete internally, landing pages influence eligibility, and Google interprets meaning clusters across campaigns.
Campaign structure now directly affects eligibility. Two identical keyword sets can perform differently depending on grouping, landing pages and semantic alignment. Structure is no longer organizational, it is strategic.
What we are doing about it:
- Rebuilding ad groups into tighter intent clusters
- Auditing landing page alignment per ad group
- Testing exact match against AI-routed performance differences
- Monitoring cannibalization across campaigns
What this means for your firm
Search is no longer a single system. Google controls structured intent capture and monetization, ChatGPT introduces conversational intent interpretation, and AI systems increasingly decide visibility before users even click.
For law firms, the competitive advantage is shifting away from keyword management and toward intent control, structural campaign design, cross-platform visibility strategy, and conversion-quality discipline.
The firms that win next will not be the ones that adapt to one platform. They will be the ones that understand how all of them are reshaping attention at the same time.
