Observed Signal · Sep 8, 2026 · Technical Release · Source: onlinemarketing.de · Impact: 4/5 · Sentiment: Positive
Google Tests Exact and Phrase Match in AI Mode
Google is currently testing the display of text ads from Search campaigns with Exact and Phrase Match keywords in its AI Mode. The confirmation came from Ginny Marvin, Google's Ads Product Liaison, in a LinkedIn comment. Initially, only AI Max, Performance Max, or Broad Match campaigns could serve ads in AI Mode. The test is limited, according to Search Engine Roundtable's Barry Schwartz, and not a broad rollout. This could offer advertisers more control, allowing them to use existing campaigns without additional automation. However, Google emphasizes that user queries must clearly match the targeting context. The move is significant as competition for AI environment advertising grows, with OpenAI also testing new targeting options for ChatGPT ads.
Major platform update from Google regarding AI Mode ad serving, expanding targeting options for advertisers.
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Key Takeaways & Evidence Grounding
- Google confirms Exact and Phrase Match keywords can serve text ads in AI Mode.
- Confirmation came from Ginny Marvin, Ads Product Liaison at Google, in a LinkedIn comment.
- Previously, only AI Max, Performance Max, or Broad Match with Smart Bidding could serve ads in AI Mode.
- The test is limited and not a broad rollout, according to Search Engine Roundtable.
- Exact and Phrase Match ads require user queries to have a clear context matching the targeting option.
Connected Companies & Entities
2 Entities mapped“Google tests the display of Search ads with Exact and Phrase Match in AI Mode....”
“OpenAI is testing a new targeting option for ChatGPT Ads to exclude certain chat contexts....”
Ontology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
AI Makes Search Conversational, Reshaping Ad Targeting
Google says AI is shifting search from short keywords to longer, conversational queries, changing how ads are matched and displayed. Dan Taylor, Vice President, Global Ads at Google, told a media session that users now ask more complex questions that are more likely to trigger AI-generated responses. Google is using language models to interpret intent and match ads by context rather than exact terms, and Taylor said model improvements have reduced irrelevant ads by about 40%. Automation tools—cited examples include Google Ads Advisor, Analytics Advisor and AI Max for Search campaigns—are starting to handle routine campaign tasks, prompting marketers to focus more on strategy and creative inputs. Ads may appear alongside or within AI-generated summaries, so brands must provide richer product and content signals to remain discoverable.
Google Announces New AI Max Features for Search Ads
Google expanded its AI Max advertising product, extending it beyond search into shopping and travel and adding new advertiser controls. The update, announced the week of April 30, 2026 (after Alphabet reported Q1 revenue of $110 billion, up 22% year-on-year), introduces AI Brief — a natural-language control plane for describing messaging, targeting and audience constraints — plus Final URL Expansion with text-disclaimer controls and integration with Merchant Center product feeds. Google positions AI Max as a middle ground between fully automated Performance Max and manual campaign management, shifting advertiser work upstream from keyword lists and bid mechanics to higher-level objectives, data signals, creative guardrails and intent prompts. Google emphasizes these features as optional steering tools, while industry voices note ongoing concerns about control and transparency. Epiminds founder Elias Malm noted the trend toward responsive, asset-driven ad formats.
Google tests 'Strongest match' labels in Search Ads
Google has begun an experiment that adds two new labels — “Strongest match” and “Strong match” — to some paid Search Ads to highlight which ads best match a user’s query. The rollout is initially limited to the United States and a small subset of users. According to the publisher, the labels are assigned by evaluating signals of ad relevance and quality; Google has not published the exact criteria. The company’s Google AdsLiaison account (Ginny Marvin) announced the experiment on X. The change comes amid broader AI-driven shifts in search (AI Mode, conversational ad formats) and a strong Search advertising business: Alphabet reported $77.3 billion in Google Advertising revenue in Q1 2026. Google positions the labels as a way to help users find the most relevant paid information and help advertisers reach better-intent audiences.
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