📖 In This Issue

  • Featured Snippets: (News & Resources)

  • Cover Story: Dominate AI SEO With The 1-1-1 Strategy

  • Operator of Interest: Ilana Gershteyn

  • Learn This: Semantic Similarity

📰 Featured Snippets (News & Resources)

Google is finally adding AI search visibility to the Search Console Performance report. I haven’t seen it in the wild yet, but right now it looks like it will only report on Impressions. I guess clicks really don’t matter anymore?

Crista Lopes explains how LLM hallucinations become human hallucinations in their article The Anatomy of a Learning Stall

Our friend Niki Mosier gives us all a quick AI visibility audit framework that you can implement in 10 minutes. IMHO, Niki’s, approach would probably garner more relatable insights than most of the fancy new tools on the market.

Glenn Gabe points out changes to Google docs that pertains to SEO service providers and 3rd party tools that both focus on GEO or AEO. This is not surprising considering the dramatic influx of new tools and people in this space.

Dominate AI SEO With The 1 - 1 - 1 Strategy

Most SEO teams don’t need more ideas. They need fewer inputs, a clearer plan, and protected time to execute it. The hardest part isn’t finding “the next tactic.” It’s keeping your attention clean long enough to build something that compounds.

That starts with information discipline: one or two reliable sources you trust for news, updates, and informed opinion. From there, the job is commitment. Pick the strategy that fits your business, your constraints, your customer journey, your ability to ship; and implement it fully before you chase something shiny. Finally, execution needs a home on the calendar. One hour a day (or any repeatable block) dedicated to implementing the strategy is how you turn intent into outcomes.

1 Source of Information

If you’re responsible for SEO outcomes, your scarcest resource isn’t “more information.” It’s clean attention. Most SEO news streams are a blender: a few real updates, a lot of recycled takes, and an endless loop of “this changes everything” posts that don’t survive contact with your actual data. Picking one or two reliable sources, people, outlets (your favorite email newsletter 😉) that consistently separate observations from speculation, creates a stable baseline. You’re not trying to know everything; you’re trying to notice what actually affects your business, crawlability, indexing, citations, and trust. When you reduce inputs, you also reduce the chance of optimizing for attention instead of outcomes, and you regain the ability to explain decisions in plain language months later.

The practical value is signal-to-noise. With a small set of trusted sources, patterns become visible: repeated warnings, consistent testing methodology, and clear “this is what we know vs. what we’re guessing” framing. That makes it easier to filter what’s actionable (a confirmed Google change, a measurable SERP shift, a reproducible test) from what’s just loud (tool marketing, hot takes, vague AI claims). You can still scan broadly when something breaks or a major update hits, but your default mode becomes disciplined ingestion, not doomscrolling. The result is quieter decision-making, fewer reactive pivots, and more time spent improving the SEO infrastructure that compounds over time.

1 Strategy

A strategy only pays off after it’s been implemented enough to reveal second-order effects: where it breaks, what it costs, what it actually moves. SEO teams don’t lose because they picked “the wrong” idea; they lose because they picked five ideas and finished none of them. Flashy tactics are tempting because they provide a hit of novelty and the illusion of progress, but SEO (and AI within SEO) is infrastructure work. The wins come from consistency: one clear approach that’s aligned to your business model, your sales cycle, margins, content velocity, and technical constraints, executed end-to-end. That means choosing the strategy that matches how you actually win (e.g., demand capture vs. demand creation, programmatic scale vs. editorial depth, technical reliability vs. content expansion), then committing long enough to measure real outcomes instead of vibes.

“Strategy creep” is what happens when the core plan gets quietly diluted by every new opportunity, stakeholder request, or trending play. It’s not a dramatic pivot; it’s death by a thousand exceptions. A little “also we should…” turns into a backlog that competes with the work that matters, and soon nobody can explain what the strategy is, only what the team is busy doing. Protecting against that requires guardrails: define the strategy in plain language, define what you’re not doing this quarter, and tie new ideas to a simple test: does this directly support the chosen path, or is it a shiny detour? If it’s a detour, park it. You can evaluate it later. The discipline is the advantage: fewer moving parts, clearer accountability, and decisions you can defend months later when the novelty has faded and only results remain.

1 Hour A Day

A strategy doesn’t get implemented by belief. It gets implemented by calendar time. One focused hour a day (or whatever block is realistic) turns “we should” into “we did,” and that compounding effect is the whole game. SEO work is easy to postpone because it rarely screams. Technical debt, content gaps, measurement fixes, internal linking, page templates, none of it is flashy, and all of it is consequential. A daily block protects the work that actually builds long-term visibility, because it forces you to move the system forward even when Slack is loud and meetings multiply. It’s also how you keep AI from becoming a distraction: the tool is secondary; the habit of shipping improvements is what makes it a multiplier instead of another tab you scroll.

Scheduling daily implementation time also creates team alignment and reduces “strategy drift.” When everyone knows there’s a dedicated window for the plan, you spend less energy renegotiating priorities and more energy executing them. It establishes a predictable cadence: review what shipped, what broke, what’s next, and what the data says, without needing a major reset every month. Even a small daily commitment makes it easier to defend the strategy internally, because progress is visible and measurable. And if you miss a day, the system doesn’t collapse, you just return to the next block. Consistency is the safeguard: it keeps the strategy alive under load, and it’s the simplest way to give your team the best odds of success.

This isn’t a productivity hack. It’s an anti-chaos protocol.

If you want to implement this in the next seven days, start by locking your one source. Choose a primary source you trust, optionally one backup for major updates, and write down your filter rule: you only act on confirmed changes, reproducible tests, or shifts you can see in your own data. Anything that reliably manufactures urgency without evidence gets muted, even if it’s entertaining.

Next, choose your one strategy for the quarter and make it legible. Write it as a single sentence: “This quarter we win by: .” Tie it to two or three metrics that match how your business actually wins, not vanity. And create a “parking lot” document for everything tempting that doesn’t fit. The point isn’t to ignore ideas. It’s to stop letting them steal execution time.

Finally, schedule the hour (or 2). Put it on the calendar at the same time each day if you can, and treat it like production time, not optional focus time. Start each block by choosing one task that directly supports the strategy, spend most of the hour shipping, then end by logging what changed and what you’ll do next. Don’t let meetings overwrite it unless something is actively breaking.

Use AI the way it behaves best: as a multiplier of execution, not a generator of priorities. Let it speed up drafts, classification, QA, schema scaffolding, internal link suggestions, and summarizing logs. Keep human judgment as the bottleneck for anything that touches indexing, site architecture, templates, canonicalization, structured data, or brand claims. AI will keep producing new tactics. That’s not the threat. The threat is letting novelty choose/distract your roadmap. Build a system that compounds, and AI becomes what it should be: a multiplier of quality, not a distraction that amplifies debt.

👤 Operator of Interest: Ilana Gershteyn

  • Known for: SEO, software engineering, and technical leadership.

  • Works at: Edmunds

  • Follow: LinkedIn

Learn This:

Semantic Similarity: A measure of how closely related two pieces of text are in meaning.

One more thing: AI is only as good as it’s operator, and if you are reading this newsletter, you are better than most!

Till next time,

Joe Hall

PS: Let me know what you think of this issue, or anything else here: [email protected]

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