07 September 2026

46 new posts across 6 marketing sources — 7 worth your time.

One week of Marketing, 7 stories, as published.

Product Pages Get 24% Of AI Citations, Reddit & YouTube 4% via @sejournal, @gregjarboe

A citation study by Ten Speed reveals that product pages receive 24% of AI citations for B2B buyers, significantly outperforming Reddit and YouTube, which each receive only 4%. The study highlights that these citations are verified only after passing through six specific fact-checking questions.

Why it matters — B2B marketers should prioritize optimizing structured product pages over social platforms like Reddit, as product pages are six times more likely to be cited by AI engines.

Search Engine Journal · 07 September 2026 · Read the original →

Content

How to turn data thought leadership into a growth channel, according to Semrush’s marketing lead

Semrush's marketing lead shares how the company transitioned from sporadic, ad-hoc data studies to a structured, continuous data thought leadership program. This shift was driven by AI's disruption of organic search and increased market competition, turning data studies into a predictable growth channel.

Why it matters — Standardize and scale proprietary data studies into a continuous pipeline to build defensible organic traffic that AI search engines cannot easily replicate or bypass.

HubSpot Marketing · 07 September 2026 · Read the original →

Privacy & Policy

Should I Block AI Crawlers At Robots.txt Or Server Level? – Ask An SEO via @sejournal, @HelenPollitt1

This post evaluates the technical trade-offs of blocking AI crawlers at different levels of the web stack. While robots.txt relies entirely on voluntary bot compliance, enforcing blocks at the server, CDN, or Web Application Firewall (WAF) level provides a foolproof way to stop unauthorized AI scraping.

Why it matters — Relying on robots.txt is insufficient for blocking aggressive AI scrapers; teams must implement server-level or CDN-level blocks to guarantee exclusion.

Search Engine Journal · 07 September 2026 · Read the original →

AI & Discovery

Demystifying Grounding Queries with Real Data

This article analyzes how Google Gemini utilizes "grounding queries" to pull real-time facts and validate information. It advises marketers to stop targeting zero-volume keywords and instead optimize content structure for machine-based search retrieval.

Why it matters — Shift SEO focus from traditional keyword volume to structuring data for machine-readable grounding queries that LLMs use to verify real-time facts.

Moz · 07 September 2026 · Read the original →

AI & Discovery

Using LinkedIn for AEO: How marketers can use social media to improve their AI visibility [experiment]

An experiment reveals that AI search engines like Perplexity frequently cite individual LinkedIn posts and articles alongside major publications and consulting firms. This trend offers B2B marketers a direct path to improve their brand's AI search visibility through executive and social platform content.

Why it matters — Publishing authoritative, niche insights on LinkedIn can bypass traditional domain authority hurdles, as AI engines actively index and cite social posts for B2B queries.

HubSpot Marketing · 07 September 2026 · Read the original →

Privacy & Policy

Google Dodged a Breakup, but Experts Say Alternatives Are Misdirected

Industry experts analyze the fallout of Google's antitrust trial, where the company avoided a forced breakup of its ad exchange and publisher ad server. The piece highlights the division among ad tech leaders regarding whether court-mandated behavioral remedies will successfully restore market competition.

Why it matters — Marketers must prepare for behavioral remedies rather than structural breakups in the ad tech ecosystem, which may alter how inventory is bought and measured without dismantling Google's core stack.

Adweek · 07 September 2026 · Read the original →

AI & Discovery

How To Build Site Authority and Multi-Channel Relevance in the Age of AI

This post explores methods for establishing site authority in an AI-driven search landscape through off-site campaigns. It covers leveraging off-site signals to boost visibility in Large Language Models (LLMs) and improving content ROI.

Why it matters — To maintain search visibility, growth teams must optimize for LLM training data and discovery engines using off-site signals rather than relying solely on traditional on-page SEO.

Moz · 07 September 2026 · Read the original →

Another week of trying to trick a slightly different user-agent.

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