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<div style="display: none; max-height: 0px; overflow: hidden;">AI Overviews change Google from a clickthrough engine into a comparison layer, while AI Mode drives fast acceptance and fewer clicks </div>
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<h1><strong>TLDR Marketing <span id="date">2026-05-27</span></strong></h1>
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<strong>Users behave differently in AI Overviews vs. AI Mode (5 minute read)</strong>
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AI Overviews change Google from a clickthrough engine into a comparison layer, while AI Mode drives fast acceptance and fewer clicks. The study of 846,000 search sessions found users reversed scroll direction for 47.5% of total scrolling on AIO pages versus 27% without AIOs, which shows that users re-read and compare results before deciding. Brand searches also lost speed and certainty because navigational queries saw a 40% jump in cursor activity when an AIO appeared, which means even branded traffic now evaluates surrounding SERP content before clicking. Brands should treat AI Mode and AI Overviews as separate optimization problems because AI Mode rewards inclusion in AI-generated shortlists, while AIOs reward stronger SERP copy, title tags, and metadata that hold up during repeated comparison passes.
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<strong>British media buyers are preparing for ChatGPT Ads (3 minute read)</strong>
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OpenAI's ChatGPT ads rollout is creating a new mid-funnel channel that blends search intent with programmatic targeting, so agencies are treating it as an experimental awareness play instead of a direct response channel. Early campaigns in the US started with CPMs near $60, but agencies now report CPMs closer to $30 alongside early conversion signals and high order values. Agencies are advising brands to fund tests from innovation budgets because measurement, brand safety, and attribution standards still lag behind search and social platforms. Advertisers also see long-term value in influencing AI-generated recommendations directly, since brands may gain more from becoming part of the LLM interface than from driving clicks to external sites.
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<h1><strong>Strategies & Tactics</strong></h1>
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<strong>Humor makes it easier to forgive AI mistakes (3 minute read)</strong>
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Self-deprecating humor can make AI mistakes feel more human and less frustrating. In tests with 1,919 people, users were up to 47.8% more forgiving of wrong recommendations when AI used self-deprecating jokes instead of a neutral apology. The tactic works best for low-stakes errors like bad product recommendations or minor customer service issues. Brands using AI support should replace long apologies with light humor, quick retries, and appreciative language like “thanks for bearing with me” to reduce friction and improve customer sentiment.
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<strong>Interrupting buyer journeys: The SEO strategy hiding in plain sight (5 minute read)</strong>
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Instead of matching search queries with direct-intent content, brands can capture high-value traffic by creating content that challenges a query's premise and introduces alternatives the user hadn't considered. LLMs and AI Overviews already model this behavior by surfacing follow-up questions and alternatives after answering an initial query. The strategy works best when targeting research-stage signals like competitor comparisons and pricing searches rather than high-commitment branded purchase queries.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.linkedin.com%2Fpulse%2Fhow-write-emails-ai-accurately-summarize-jeanne-jennings--bdeoc%2F%3Futm_source=tldrmarketing/1/0100019e691d35e4-82da4404-a7c4-4798-8792-2d6e5c2a4b52-000000/knSuWA_aAHLwv6NbXJjj7yHJ-0sOEEv71cm5hg8YdMc=452">
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<strong>How to Write Emails That AI Will Accurately Summarize (7 minute read)</strong>
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Emails are now interpreted by AI before humans read them, and that determines what gets surfaced or distorted. Tests with Gmail and Gemini show that structured, text-based emails are accurately summarized, while image-based content, vague messaging, urgency, and implied intent are often missed or misrepresented. AI can also hallucinate details when context is incomplete or unclear. Emails need to be written for extraction, not just reading, with clear points, explicit CTAs, and live text that preserves meaning in summaries.
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<h1><strong>Resources & Tools</strong></h1>
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<strong>LinkedIn beats YouTube for B2B video, per Wistia's 2026 State of Video Report (Sponsor)</strong>
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Wistia's 6th annual <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwistia.com%2Fexplore%2Fstate-of-video-report%3F%26utm_source=TLDR%26utm_medium=newsletter%26utm_campaign=state-of-video-2026/2/0100019e691d35e4-82da4404-a7c4-4798-8792-2d6e5c2a4b52-000000/9OMUshIXz198IvJrUM-XAdJnMOYVttsBAD22tIrmjro=452" rel="noopener noreferrer nofollow" target="_blank"><span>2026 State of Video Report</span></a> is here! Find out what 13 million video and 1,000 video marketers reveal about budgets, performance, and the impact of AI. Also - get benchmarks that can help you answer the age-old question: is this video actually working? <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwistia.com%2Fexplore%2Fstate-of-video-report%3F%26utm_source=TLDR%26utm_medium=newsletter%26utm_campaign=state-of-video-2026/3/0100019e691d35e4-82da4404-a7c4-4798-8792-2d6e5c2a4b52-000000/dQITrD-sI8A5j9FH0f-eZj-avIEKuXrlAAvYfBh2E_E=452" rel="noopener noreferrer nofollow" target="_blank"><span>Get your free copy here</span></a>
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<strong>2026 LinkedIn Ads stack (2 minute read)</strong>
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Most LinkedIn Ads stacks are built backwards, starting with creative instead of data. The better setup starts with Attio or HubSpot for closed-won analysis and Claude for ICP and pain point mapping, then Clay for targeting. Dreamdata handles attribution and ROI tracking, Figma or Canva plus Claude speeds up creative production, and Whatagraph consolidates reporting into exec dashboards. Fix data first so targeting, creative, and reporting all compound downstream.
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<strong>How to Make Your Website Agent-Ready (21 minute read)</strong>
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This guide explains how to make a site usable for AI agents by focusing on two layers: the page and the surrounding protocols. It argues these changes do not drive citations directly, but make sites easier and cheaper for agents to read and interpret. It reviews limited and mixed evidence, then outlines practical steps like improving semantic HTML, setting robots.txt rules, adding llms.txt, enabling markdown delivery, and exposing APIs when needed. It also shows who should act now versus wait based on site size and audience.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<strong>How B2B content actually makes money (3 minute read)</strong>
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Content drives revenue when it's tied to clear roles in the buying journey, not output volume. Bottom of funnel blog content converts high intent buyers into demos and sales conversations, newsletters maintain direct relationships that shorten decision cycles and increase trust, and social builds awareness and keeps the brand top of mind but rarely closes deals on its own. The real performance comes from the system working together, where social feeds demand, blogs capture it, and newsletters convert it over time into pipeline.
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<strong>The Arms Race Before the Bell: What OpenAI and Anthropic Are Really Doing Right Now (7 minute read)</strong>
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OpenAI and Anthropic are accelerating launches, partnerships, and acquisitions as they move toward IPOs. Anthropic's Project Glasswing showed Claude Mythos finding thousands of security vulnerabilities across major companies, alongside the Stainless acquisition and major enterprise and government deals. OpenAI is advancing toward a potential $1T IPO while expanding Codex, ads, finance tools, and voice AI in ChatGPT. Both are burning billions while scaling revenue quickly, with every release serving both product growth and investor narrative ahead of going public.
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<h1><strong>Quick Links</strong></h1>
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<strong>Healthy retention is the easiest number to fake to yourself (1 minute read)</strong>
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12 retention mistakes that hide in clean-looking reports.
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<strong>Safe in their seat. Cutting the seat below (1 minute read)</strong>
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94% of marketing leaders think they're safe, yet 60% expect content roles to be cut as AI replaces junior work and flattens teams.
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<strong>Conversion-oriented ads coming to ChatGPT (1 minute read)</strong>
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OpenAI is letting advertisers test conversion-oriented ads in ChatGPT starting this week, using a pay-for-results model where charges only apply when users complete actions like purchases or appointment bookings.
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