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Business Strategy · Positioning ·
AI Visibility · Marketing + AI Systems |
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The weekly briefing for
businesses ready for what’s next
Monday
Market Watch
| AI | Search | Marketing | Real-World Insights |
Vol. 3 | Oct 6, 2026 |
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A quick note before we begin
Hi Reader,
Yes, Monday Market Watch is showing up on Tuesday.
I made it safely to Houston. Now I’m somewhere between unpacking boxes, rebuilding my office, and remembering which box I put the thing in that I specifically packed so I could find it.
Moving from Maine to Texas is no small undertaking. So this week, I’m giving myself a little grace.
AI, apparently, took no such pause.
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There’s plenty happening across search, social, agents, advertising, and the infrastructure holding all of it together. But two developments caught my attention—not just individually, but because of what they mean together.
Google is putting AI Overviews in front of more branded searches.
And an analysis of roughly nine million AI answers is challenging some of the tidy “GEO best practices” being sold as if somebody has already figured this whole thing out.
Here’s the question underneath both:
When someone searches for your business, who gets to explain it first?
And does that explanation sound anything like the business you’ve actually built?
This week in one sentence
Your brand can rank first and still lose control of the explanation.
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| The Quick Read |
- → Google AI Overviews reportedly surged across tracked branded searches in late September.
- → A nine-million-answer analysis challenges several popular assumptions about what earns AI citations.
- → Google’s September spam update is still rolling out, according to the status cited for this issue. A few days of ranking movement are not a reason to tear apart your content strategy.
- → If you self-host n8n, the reported October 1 security update deserves your attention. That’s a practical maintenance issue, not another invitation to chase an AI trend.
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The 3 things I’m watching
Because context changes everything
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01
Google is answering before people reach you.
Recent tracking reported AI Overviews on more than 80% of the branded queries being monitored by the end of September, up from roughly 26% at the beginning of the month.
That’s a substantial change within that dataset—not a claim that every business will see the same thing.
But consider the situation.
Someone hears about you. Maybe a client referred them. Maybe they read something you wrote. Maybe they’ve been quietly watching your work for months.
Then they search your name.
Before they reach your website, Google may have already offered an explanation of who you are, what you do, and whether you’re relevant to what they need.
That’s the part I’m paying attention to.
Brand search has long felt like the closest thing we had to home territory. You did the work to create awareness, someone looked you up, and your website had a chance to carry the conversation forward.
Now there may be another explanation sitting between that awareness and your front door.
My concern isn’t simply, “Did we rank?”
It’s:
Did the answer get us right?
Did it understand what we actually do?
Did it surface the evidence—or just repeat whatever was easiest to find?
This is why I don’t treat AI visibility as SEO with a new label slapped on it.
Rankings matter. But I also want to know whether the information surrounding a business makes its expertise, offers, relationships, and proof understandable.
More visibility isn’t much of a win if the explanation is wrong.
Read the source →
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02
Nine million answers, no magic formula.
An analysis of roughly nine million AI answers across multiple platforms challenges some familiar advice about earning citations.
The broad takeaway: the findings don’t support one guaranteed content format, one third-party platform, or one simple sentiment tactic that reliably gets a business cited.
And being cited isn’t necessarily the same as being prominently named.
A source can help shape an answer without giving its brand the visibility a marketer might expect.
That distinction matters when somebody is selling you a report full of impressive-looking numbers.
What, exactly, did those numbers measure?
A citation? A mention? A recommendation? An accurate explanation of your offer?
Those are not interchangeable outcomes.
I’m skeptical of anyone selling “the GEO formula” as though the uncertainty has already been resolved.
That doesn’t mean we shouldn’t experiment. It means we should be honest about what an experiment actually proves.
My approach is still to look at the whole business footprint:
- Is the positioning clear?
- Does the owned content explain something useful?
- Is there credible evidence behind the claims?
- Are the names, offers, and relationships consistent?
- Do third-party sources reinforce—or contradict—the story?
- Can the systems access and interpret the information?
A Reddit post might be useful. So might a well-built comparison page or better structured data.
But I’m not going to mistake any one of those for a substitute for doing the deeper work.
The tools are changing. I still want a business to be understandable—and able to back up what it says.
Read the source →
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03
A moving dashboard is not a verdict.
The September spam update began September 24, with a stated rollout window of up to two weeks. The dashboard cited for this issue still lists it as active.
So if your rankings are moving, take a breath before deciding what that movement means.
Three pages dropping this week does not, by itself, tell you that your entire strategy is broken.
Four days of lower traffic does not, by itself, tell you to delete good content.
And an automated report calling something a “cause” does not make it one.
Watch what’s happening. Annotate the dates. Check for actual technical problems. Compare the patterns.
Then make the larger strategic decisions with enough evidence to support them.
I’m not suggesting you ignore your data.
I’m suggesting you don’t let a few unsettled days make decisions for you.
Read the source →
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The move I’d make this week
Search your own business.
Not just the keyword you’d love to rank for. Your actual business.
Try:
- Your business name.
- Your founder’s name.
- Your primary offer.
- Your business name + reviews.
- Your business name + “what do they do?”
Look at what appears before you click your own website. Then ask an AI system the same kinds of questions.
Read the answers as if you were a prospective buyer who had never met you.
Is the information accurate?
Is it current?
Can you tell what makes the business different?
Is there proof you would trust?
Who is being cited—and what important information is missing?
For me, that’s a more useful starting point than a visibility score with no clear connection to a buying decision.
I want to know what someone encounters when they’re trying to understand whether we can help them.
And I want to know where that explanation falls apart.
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From the field
What I’m seeing inside the work.
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I’ve spent part of the last few weeks putting language around something we’ve been practicing inside Momentive for a long time:
Verified data only.
Not “close enough.”
Not “the AI gave us a very convincing paragraph.”
Not “this number would make the case study look better.”
If a metric is disputed, we don’t polish it until it sounds believable.
If attribution is unclear, we don’t quietly turn it into a claim of causation.
If we can’t verify something, we mark it inconclusive.
And if the evidence supports a smaller claim than the one we wanted to make, we make the smaller claim.
I know. This sounds like it should be obvious.
But it’s worth stating explicitly, especially when we’re using tools that can make an unresolved question read like a settled conclusion.
The standard I’m building into our audits, case studies, and AI systems is simple:
Improve the evidence. Narrow the claim. Attribute it correctly. Or leave it unresolved.
Sometimes the most useful thing we can say is, “We don’t know that yet.”
I’d rather have an honest gap than a polished fiction.
Christina Rae
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On my radar
A few things I’m watching without turning every update into a new project:
- n8n security: The reported October 1 advisory addresses multiple high-severity vulnerabilities. If you self-host, check your installed version against the advisory’s fixed versions. The advisory says cloud installations were patched automatically.
- Creator infrastructure: TikTok, LinkedIn, and Threads are adding tools around creator relationships, identity, and real-time engagement. I’m watching for something that serves the work—not assuming every new feature needs a place in the strategy.
- AI orchestration: More tools want to be the layer that coordinates multiple models and agents. My question is less “How impressive is the demo?” and more “What happens to the business context, evidence, and judgment once this thing starts working?”
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One question for you
When you search your business on Google—or ask ChatGPT about it—does the answer sound like the business you’ve actually built?
Not just the category you fit into.
Not just a list of services.
Your business.
Hit reply and tell me →
I read those replies.
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From the blog
This week’s thread connects directly to my work around AI Visibility and Business Archaeology.
Before we build more content, more agents, or more automation, I want to understand what’s already there.
What does the business know?
What can it prove?
What has been buried in old documents, scattered systems, client conversations, and the founder’s head?
And how much of that is actually available to the people trying to understand the business?
That’s the work beneath the surface.
Not creating a louder version of an unclear story. Getting clear enough that the story can hold up.
Read the latest Momentive insight →
I’m Speaking at AI in Motion
I’m also preparing for the upcoming AI in Motion Summit, where I’ll be speaking about The Visibility Paradox.
It’s the gap between technically existing online and being understood.
You have the website. The profiles. The content. Maybe years of experience and client results.
But when someone—or an AI system—tries to put the pieces together, the picture still isn’t clear.
That’s the conversation I’m bringing to the summit: visibility, authority, evidence, and what it takes to make the substance of a business easier to recognize.
Because being online and being understood are not the same thing.
Explore the AI in Motion Summit →
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See you next Monday,
Christina Rae
Founder + Strategist
Momentive Media
Strategy beneath the surface. Visibility built on evidence.
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600 1st Ave, Ste 330 PMB 92768, Seattle, WA 98104-2246
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