TLDR Marketing 2026-03-24
Two-date blogging tip ✌️, AI anxiety in agencies 😬, GSC’s average position explained 📖
AI is squeezing marketing agencies from both sides (6 minute read)
Clients expect AI-driven cost savings to reduce their retainers, while agencies that refuse to adopt AI risk falling behind competitors and in-house teams. 53% of agency owners now see AI as a significant threat, and 66% worry that junior team members will have fewer career opportunities as AI automates the foundational tasks that once served as training grounds. Larger and more specialized agencies are faring better, while generalist shops struggle most.
Big Tech's strategy for selling AI: Dogfooding (3 minute read)
Big Tech is using AI internally to sell it externally, making executives and employees the first users to signal value. At Meta, Nvidia, and Salesforce, leaders tie performance to AI usage while marketing presents this as proof that it works. Spending on AI is rising, yet productivity gains remain modest, with about 40% of adults using AI at work and saving only 2% of hours, and 9% of roles fully replaced. Companies adopt norms set by industry leaders, increasing demand, while massive investments in data centers, chips, and power push firms to justify usage and accelerate adoption.
How HubSpot solved the two-date problem (1 minute read)
Showing both publish and updated dates can hurt CTR if Google surfaces the older one in search results. HubSpot avoids this by displaying only the updated date in standard format while listing the original publish timing as plain text, which Google ignores. This keeps search listings looking fresh while still giving readers context, helping maintain SEO performance.
The Backstory behind Clay's new Pricing Model (5 minute read)
Clay updated its pricing to reflect platform use beyond data, adding an “actions” metric alongside data credits and reducing tiers from 5 to 4. The team spent a year testing with agencies and customer segments to ensure fairness. Actions remain invisible for most users while guiding power users to upgrade. Transparent communication included videos, memos, and grandfathering legacy customers. Short-term revenue may drop 10%, but long-term upgrades are expected as action usage grows.
Vector's Organic Content Strategy Breakdown (4 minute read)
Vector drives growth with a system that turns founder insights into high-volume content. The team runs biweekly interviews and uses AI trained on each founder's voice to create LinkedIn posts. Founders stay active and post consistently. Engagement is the main lever, with 58% of follower growth coming from daily comments on relevant posts. The company page focuses on employee content. A podcast built on real internal discussions fuels the strategy, influencing 80% of open opportunities and serving as source material for posts
Your emails are landing in Spam more often than you think (Sponsor)
If you send 100 emails today, how many actually reach the inbox? Spoiler: not many! 1 in 5 emails never hits the inbox.
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Reach prospects. Not spam.The science of how AI picks its sources (8 minute read)
AI citations are concentrated among a few domains, with content breadth and structure outweighing rankings. About 30 domains capture 67% of citations, and top Google results are cited only 43.2% of the time. ChatGPT retrieves many sources but cites few, with 85% of pages never cited and 67% of cited URLs appearing only once. Longer, structured content covering multiple queries performs best, and placing key information in the first 30% of a page maximizes attention.
Search Console's Average Position, Explained (2 minute read)
Average position in GSC is an aggregated metric that often misleads and offers little actionable insight, so it is usually best ignored. An overall average position of 25 means a site ranks around page 3, since Google shows about 10 organic results per page. Query-level average position is more useful because it reflects how a specific URL ranks across users, such as averaging 1.5 if it appears in position 1 for one search and 2 for another. Special elements like image packs and AI Overviews count as positions, and appearing in them can raise a URL to position 1 even if its organic ranking is lower. Reported positions can vary due to personalization, device differences, and limited visibility of features like “People also ask,” which makes exact rankings harder to verify.
This Reddit Watchdog Changed Everything Brands Thought They Knew About The Platform (5 minute read)
The subreddit r/companiesthatspam appeared in February to call out brands astroturfing on Reddit, quickly ranking in Google search. It was removed within a month, but the risk remains. Reddit is the top-cited domain on major AI platforms at 3.11%, ahead of YouTube and Wikipedia, so bot-driven backlash can appear in AI searches. Brands like Mint Mobile that maintain genuine community engagement outperform those using agency-run manipulation.
What Happens When A Brand Fails To Deliver On Its Basic Promise (5 minute read)
FedEx's slogan, "The World on Time," sets high expectations, so any delivery failure feels like a breach. Despite a 95.3% on-time rate, PwC found 1 in 3 consumers will leave a brand after one bad experience. A recent 45-hour delay on a priority shipment shows how gaps like drivers missing store hours and poor customer service cause more reputational damage than the delay itself. Brands with high expectations need recovery processes to match.
Goodbye two by two. Hello two by nothing. A framework for building distinctive brands (4 minute read)
The “two by nothing” framework shows competitors fighting over dimensions like price or quality, while the brand creates a new plane where it stands alone. Airbnb illustrates this by shifting from a place to stay to a way to experience a destination or travel together, which enables more distinctive campaigns and positioning. The approach requires mapping competitors, uncovering brand and audience insights, and reframing industry assumptions into something people care about. It works even if the product is similar, since differentiation can come from values and identity rather than features.
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