TLDR Marketing

TLDR MARKETING 2026-05-13

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01GENERAL

03STRATEGIES & TACTICS

11 TIPS TO GET BLOGS CITED

Blogs that earn AI citations start with topics where AI answers are weak, tested using AI tools and search results before writing. Content is built around real user questions from sources like Google's People Also Ask feature and keyword research tools, then mapped into clear H2 and H3 structures. Each section opens with a direct answer followed by supporting detail for easy extraction. Posts include first hand examples, screenshots, and walkthroughs to demonstrate real experience. Writing stays simple and direct with clear visuals that explain key points. On page SEO includes optimized titles, headers, URLs, meta descriptions, and internal links. Technical setup includes proper indexing, schema, and regular audits. After publishing, content is updated, expanded with new questions, and tracked for AI citations and rankings.

linkedin.com2 min read

5 THINGS TO DO BEFORE YOU DELETE YOUR FAQS

Google has removed FAQ rich results, but FAQ content still matters and shouldn't be deleted. Keep Q&A sections on pages to improve user experience and engagement, and recognize their growing value for AI tools like ChatGPT that pull from structured answers. Shift schema efforts toward formats Google still supports such as article or how-to markup, and turn high performing FAQ questions into standalone sections or pages to capture search intent. Rewrite FAQs to mirror how people phrase prompts in AI tools so they're more likely to surface in AI-driven search.

linkedin.com1 min read

04RESOURCES & TOOLS

Sponsored

PLAID ADDS $382K IN PIPELINE WITH TLDR CAMPAIGN

Plaid achieved their best-performing direct buy to date, adding $382k in pipeline, earning 70 leads, and achieving 20.1x ROI. This case study breaks down their strategy, results, and example ads. Read the

advertise.tldr.techSponsor

THE ORGANIC MEDIA MIX: THE STRATEGY DOCUMENT EVERY CMO SHOULD BE BUILDING RIGHT NOW

AI visibility now depends on a portfolio of organic channels, not just your website, so you need an Organic Media Mix that allocates resources based on where AI models actually cite brands. The framework starts with citation reports across tools like ChatGPT, Gemini, and Claude to identify which sources shape AI answers in your category, then scores those channels by influence, implementation difficulty, commercial intent, and sentiment. The data often overturns assumptions because citations can vary significantly by industry and brand. This framework enables teams to use citation data to guide ad placements, PR investment, influencer programs, and content production around the same high-intent queries.

brainlabsdigital.com5 min read

SPRINGBOARDS

Springboards is a creative workspace built to generate a wide range of ideas across campaigns, not just a single output. It combines multiple AI models with features like customizable boards to spark different angles, a “voltage” control to adjust how safe or wild ideas get, pins to capture and remix ideas in real time, and an infinite canvas to organize and develop strategy collaboratively. It also includes reusable templates and flexible customization so teams can tailor workflows.

springboards.aiTool

WE TRACKED 1,885 PAGES ADDING SCHEMA. AI CITATIONS BARELY MOVED

Despite the claim that JSON-LD schema is a direct AI visibility lever, an analysis of 1,885 pages found that it doesn't increase AI citations in Google AI Mode, ChatGPT, or Google AI Overviews. The study found a 2.4% lift in AI Mode and 2.2% lift in ChatGPT, but both results fell within statistical noise, while AI Overview citations dropped 4.6% relative to control pages. Schema correlates with stronger SEO operations rather than causing AI citation growth on its own. Sites that already invest in authority, technical SEO, and content quality still win AI visibility, even without schema changes. Schema still supports rich results and knowledge graph visibility, but brands should not expect it to drive measurable AI citation gains on already indexed pages.

ahrefs.com7 min read

05MISCELLANEOUS

TRADITIONAL MARKETING DOESN'T WORK ON AI SHOPPING AGENTS

A study simulating how AI shopping agents interact with product pages found that most e-commerce persuasion tactics refined for human cognition either fail or backfire when evaluated by AI. Of 8 promotional mechanisms tested across four models and over 16,000 shopping rounds, only ratings produced a consistently positive effect. Scarcity badges, bundling, and anchored pricing showed no reliable pattern, and advanced models like GPT-5 sometimes reacted negatively to aggressive promotional cues. The researchers recommend focusing on pricing and review fundamentals first, then building simulation environments to continuously test how each model responds.

hbr.org6 min read

BEHIND THE SCENES AT WIRECUTTER FOR AN EPIC DUEL OF AIR PURIFIERS

Wirecutter has maintained its lead in product recommendations by investing in original, hands-on testing where staff evaluate everything from air purifiers to mattresses. The publication has grown to 180 editorial employees and 15 million monthly readers since becoming part of a major news organization, more than tripling traffic in recent years. Reviewers operate behind a strict editorial wall with no visibility into affiliate revenue from their recommendations, a structure built on the principle that consumer trust is the only sustainable advantage. That independence has helped the brand weather an era in which competitors chasing affiliate revenue through SEO were penalized by algorithm updates targeting aggregated or low-expertise content.

niemanlab.org13 min read