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A few stories with real strategic implications, and one that's generating more heat than light this week.

First: Microsoft Clarity adds branded vs. non-branded query segmentation to its AI Citations dashboard. Cassie breaks down what the new filtering actually shows you, why separating brand-led demand from category discovery changes how you interpret your citation data, and what Share of Authority looks like when you can finally split it by query type.

Then: LinkedIn publishes its first comprehensive B2B AI search guide, backed by internal data and eighteen months of their own testing. Cassie pulls out what's actually useful, including why LinkedIn is the number one most-cited domain for professional queries in AI search, how articles and posts do different jobs in the citation ecosystem, and the org alignment point that most brands are still missing.

Plus: Sundar Pichai announced Gemini hit one billion monthly users, Shopify's Q2 data shows AI-referred sessions growing 197% year-over-year with double the conversion rate in research-heavy categories, and the Claude watermarking story — what we actually know, what's still speculation, and why you shouldn't change your workflow yet.

In this episode:

• What branded vs. non-branded grounding query segmentation actually tells you
• How to use Share of Authority data now that you can filter by query type
• Why LinkedIn articles and posts do different jobs in AI search
• The org alignment problem LinkedIn's own guide surfaces
• What Profound's citation timing data means for how you evaluate new content
• What Gemini's milestone signals about where AI search is headed
• What Shopify's Q2 data says about buyer behavior in research-heavy categories
• What we actually know about Claude's watermarks — and what's still noise

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

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Two stories in a slow week. First, Microsoft launched its first Advertising product newsletter and used it to announce that Microsoft Clarity's AI visibility suite now reports citations, citation share, grounding queries, and share of authority — a platform-defined, free metric for how often AI systems pick your domain over everyone else's.

Cassie breaks down what's actually in the dashboard, why it matters that Microsoft framed this as bringing "the same rigor and transparency of reporting" to the AI era, and the org problem hiding in plain sight: this entity data landed in a paid media newsletter, with paid media recommendations attached.

Then: Google told The Verge that Reddit gets no special preference in its ranking systems or AI search features — while Reddit absorbs a core update, a spam update, and a wave of people gaming it for AI placement. Cassie makes the case for why concentration risk on any single third-party surface is the real story there.

Plus a note on why newsletter content is worth more than it used to be, and what Microsoft publishing this on LinkedIn might be doing.

In this episode:

• What Microsoft Clarity's four AI visibility metrics actually measure
• Why "share of authority" being platform-defined matters
• The question to ask your team this week about Clarity
• How to treat Microsoft's conversion stats before you put them in a deck
• What Clarity shows you — and the layer it doesn't
• Why a newsletter with a public archive is a retrieval surface, not just a list
• The gap in Google's Reddit denial
• Third-party mention concentration and why it's a risk

Resources:

Microsoft's Product Newsletter August 4, 2026

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Send us Fan Mail

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Rose Ann Mullet spent years as a content lead inside a major corporation where every piece of content moved through four or five approval layers. She streamlined the process and is proud of the system they still use. It still took a considerable amount of time to get anything out the door — which turns out to be an AI visibility problem, not just a workflow one.

Then she left, started RM Content and Consulting, and began applying the same framework to solo attorneys who can publish the same afternoon they decide to. Same signals, radically different speed. This conversation is about what that gap actually costs.

In this episode:

• What it looks like to push for AI visibility from inside an org where leadership says yes in principle and nothing moves
• The "if we get the SEO right, AI will follow" argument, and why Rose and her SEO manager both knew better
• A 50% lift in ChatGPT-referred traffic after restructuring one section of a corporate site — and why they never got to properly test it
• Why regional and local offices describing the brand differently is an entity problem, not a brand-consistency nitpick
• Freshness as a retrieval signal, and why your approval chain sets a ceiling on it
• How Rose applied Freshness, Structure, and Authority to a solo attorney's personal brand, LinkedIn, and dormant blog
• Getting that attorney recommended by AI within 30 days — including the competitive-set caveat that makes the result honest
• Watching AI characterize a client using language from content Rose ghostwrote for him
• Why competitor analysis is now a weekly exercise instead of an annual one
• Where local PR fits into a visibility strategy for service businesses

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

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AI Overviews now appear in roughly 43% of Google searches, up from 15% a year ago. But buried in the same dataset is a number almost nobody is quoting: as of May 2026, only about 6.8% of U.S. ChatGPT desktop queries returned an answer that cited anything at all. Citations are growing fast. They're also still the exception.

This week's news update covers four developments that all point the same direction — your brand's visibility is increasingly being determined on surfaces your content team doesn't own and can't see.

• The Similarweb data behind the 43% figure, why the 6.8% citation rate is the more useful number, and what it means that ChatGPT's click-through share jumped from about 25% to nearly 60% after its May update
• Search Console platform properties going global — verifying TikTok, Instagram, X, and YouTube accounts as properties, plus what Google's new analysis guide reveals about the "what people are saying" carousel and the query groups card
• Why Google's consumer post about AI Mode is a strategy document in disguise, and what changes when Search starts calling stores and booking tickets instead of just answering questions
• The correction gap: why old news resurfacing inside AI summaries is an entity accuracy problem, and why suppression is the wrong fix

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

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Most brands treat AI search visibility as a technical problem. Add the schema, clean up the structure, fix the crawl paths, wait to get cited. Then nothing happens.

David Kirkdorffer has been doing B2B marketing since the nineties and now works with CMOs, CROs, and CEOs on exactly this. His argument: the technical layer is a building block, not the answer. What actually gets pulled into an AI-generated answer is the language on your page — and if five different teams are describing your company five slightly different ways, you've given the model nothing to be confident about.

In this conversation, David and I get into why messaging drift quietly moves your brand into a different category, why product marketing may be the highest-leverage seat in your AI visibility strategy, and why large enterprises are often better at this than scrappy startups (for reasons that have nothing to do with budget).

What we cover

• Why SEO gets you on the shelf but doesn't get you quoted
• "Word math" — how small wording changes move your brand into a different semantic category without anyone noticing
• The hub-and-spoke model: product marketing as the source of messaging for PR, demand, partner, and sales
• Corroboration as a trust signal, and why consistency across surfaces beats volume
• Why big companies quietly solved this decades ago, and what small brands can borrow
• The digital footprint gap, and why challenger brands compete against a mountain of existing content
• How LLMs decompose a query, fan it out, and let retrieved chunks compete on completeness and semantic alignment
• Why efficiency is a retrieval criterion most people ignore
• The hiring problem: why "AI search optimization" job descriptions are mostly technical SEO
• What happens when your predecessor's positioning is still live across the internet

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com

Send us Fan Mail

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Join the weekly 3-2-1 on AI search + marketing: subscribe

This week was one of the busiest news cycles we've had in a while. Five stories, all connected.

What we cover:

• Alphabet Q2 2026 earnings: Google reported $119.8 billion in revenue, up 24% year-over-year, with Google Cloud growing 82%. Search revenue hit $63.3 billion and queries are at an all-time high. But here's the tension: AI experiences are driving more search activity while simultaneously sending less traffic to publishers.
• The publisher revolt: Reddit, USA Today, Politico, Reuters, and The Economist are all reconsidering how much access they give Google. According to Semrush data, organic Google traffic to USA Today's US site fell nearly 50% between June 2025 and June 2026. Business Insider dropped more than 85%. Reddit's $60 million/year Google licensing deal is up for renewal — and Reddit is weighing whether it's still worth it.
• Google's VP of Search on where search is headed: Tech Brew published a sit-down with Liz Reid this week. She said links aren't going away, that AI Mode and Gemini have different north stars, and that personalization is the next frontier.
• The OpenAI/Hugging Face security incident: OpenAI's models found a zero-day vulnerability, escaped a testing sandbox, gained internet access, and compromised Hugging Face's production infrastructure — all while trying to solve an internal benchmark. OpenAI called it an unprecedented cyber incident.
• Claude's "Record a Skill" feature: Anthropic launched a new feature in Claude Cowork that lets you record a screen walkthrough of a task and turn it into a reusable skill. Available on Pro, Max, and Team plans.

Resources mentioned:

• Alphabet Q2 2026 earnings
• Tech Brew interview with Liz Reid
• OpenAI + Hugging Face security incident disclosure
• Claude "Record a Skill" announcement

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant

Website → https://cassieclarkmarketing.com

Substack → https://substack.com/@cassieclarkmarketing

YouTube → https://www.youtube.com/@foundinaipodcast

Send us Fan Mail

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Join the weekly 3-2-1 on AI search + marketing: subscribe

Vlad Pivnev has been doing digital marketing for 16 years. Two years ago, he watched AI start dismantling the traditional agency playbook in real time and decided to build toward it instead of around it. He's now CEO of Stive, where his team runs competitive intelligence, LLM visibility, and AI-driven marketing strategies across hundreds of clients.

In this episode, we talk about what his agency has learned from running over 100 experiments, the five factors that determine whether a brand shows up in AI-generated answers, and why competitive intelligence — once a once-a-year project — is now something you can run weekly.

We also get into something I think gets underused in AI visibility strategy: tracking which sources are citing your competitors, not just where your brand appears.

In this episode:

• Why 90% of Vlad's experiments produce nothing (and why he runs them anyway)
• The five-factor framework his team uses to diagnose AI visibility
• Why LLMs prefer unlinked brand mentions over links to your website
• What brand clarity actually means when an LLM is reading about you
• How to use competitive citation data to find your next distribution move

If you're listening to this and thinking I need someone to lead this for me, that's what I do.

I'm an AI search visibility consultant and a fractional content strategist for startups and enterprise brands. If that sounds like the kind of help you're looking for, email me at cassie@cassieclarkmarketing.com.

Or request your 7-Day AI Search Visibility Audit: https://cassieclarkmarketing.com/ai-search-visibility-audit/

Let’s connect:

LinkedIn → Cassie Clark | AI Search Visibility Consultant
Website → https://cassieclarkmarketing.com