Thesis
The local marketing playbook is broken.
Local marketing has three jobs: be findable, capture demand, close customers. In 2026, every one of them works differently than it did in 2020 — and most agencies haven't noticed.
Local marketing has three jobs: be findable, capture demand, close customers. In 2026, every one of them works differently than it did in 2020 — and most agencies haven't noticed.
The playbook that built every local marketing agency in the country still assumes search engines work like they did a decade ago. Ranks first. Drives a click. Lands on a website. Fills a form. Becomes a customer. That sequence still happens, but it's no longer the dominant pattern. The data has been telling us that for years now. The agencies haven't caught up.
We started Sparkul because we think the gap between what local businesses are paying for and what they actually need has become unbridgeable inside the existing model. The work itself has changed. The skills have changed. The infrastructure has changed. The agency relationship has to change too.
Here's what we mean.
The first job: be findable
The old version of local visibility was straightforward. Rank in Google's local pack. Maintain a Google Business Profile. Get reviews. Build citations. The whole industry of local SEO grew around mastering that loop.
That loop still exists. It still matters. But it's now one layer of a multi-layered visibility problem — and the new layer is the one most local businesses can't see.
In Q2 2025, Whitespark ran 540 local search queries across six U.S. cities and found that AI Overviews now appear for 68% of local searches. For informational-intent queries — the kind a homeowner types when they're researching a problem, like "how long does an AC compressor last" — AI Overviews appeared 92% of the time. For hybrid-intent queries like "average cost of HVAC replacement in Phoenix," AI Overviews showed up 97% of the time. The local pack, by comparison, appeared for just 39% of all queries studied.[]
In other words: for a significant portion of the queries that bring customers to a local business, Google now answers the question itself before any business gets a chance to compete.
The question that follows is which businesses Google decides to mention inside those answers. The data on that is even more sobering.
In January 2026, SOCi published its 2026 Local Visibility Index — a study of 350,000+ business locations across 2,751 multi-location brands. Of those locations, ChatGPT recommended just 1.2%. Gemini recommended 11%. Perplexity recommended 7.4%. Compare those numbers to the 35.9% appearance rate in Google's local 3-pack for the same brands. SOCi's conclusion: AI visibility is up to 30 times harder to achieve than traditional local search visibility.[]
That's one in eighty.
We want to be careful about how we frame this, because there's also a real counter-narrative worth acknowledging. In August 2025, SparkToro published research showing that only 20% of Americans use AI tools 10 or more times per month, and that 95% of Americans still use traditional search engines like Google every month. Rand Fishkin, who ran the study, wrote: "My takeaway is that traditional search isn't going anywhere, even for the heavy adopters of AI. The more data we gather, the more I'm convinced the 'AI vs. Search' narrative is largely made up by media and influencers seeking attention, rather than an accurate reflection of reality."[]
He's right. Google is not dead. Local SEO is not dead. But the inverse claim — that nothing has fundamentally changed — is also not true. ChatGPT has 900 million weekly active users as of February 2026, up from 400 million one year earlier.[] BrightLocal's 2026 Local Consumer Review Survey found that 45% of consumers now use AI tools to find local services, up from 6% one year earlier.[]
What's actually happening is that visibility has become a layered problem. Local SEO still matters. AI visibility now also matters. They are different disciplines with different mechanics, and the businesses that win the next five years will be the ones operating across both layers — not the ones who picked a side.
Most agencies have picked a side. Either they keep doing the local SEO they've always done and pretend AI hasn't changed anything, or they sell "AI visibility" as a buzzword without understanding the actual mechanics. Both approaches leave their clients exposed.
The second job: capture demand
The clicks that used to drive paid media are partially disappearing — and the way most local businesses run paid media hasn't adjusted.
Semrush's Q1 2025 zero-click research, partnered with Datos clickstream data, found that 27.2% of U.S. Google searches in March 2025 ended with no click of any kind — up from 24.4% in March 2024. Add clicks that stay inside Google's own properties (YouTube, Maps, Knowledge Panels), and the figure rises to roughly 58% in the U.S. and 60% in the E.U.[]
Google itself disputes the framing. In August 2025, Liz Reid, Google's VP of Search, published a blog post claiming that total organic click volume from Google to websites has been "relatively stable" year-over-year. Publishers responded with data showing 10-25% year-over-year CTR declines on stable rankings, and news publishers reported organic visits dropped 26% between mid-2024 and May 2025. The dispute is unresolved.[]
We don't think the exact zero-click percentage matters as much as the directional reality. Search behavior is shifting. Some queries that used to produce clicks no longer do. The trend is up, not down. Anyone running paid media without acknowledging that is buying a smaller and smaller slice of attention while paying the same prices for it.
But there's a more important problem. The way local paid media gets measured is fundamentally broken.
The standard paid media report looks like this: impressions, clicks, click-through rate, cost per click, cost per lead. None of those numbers tell a business owner whether their ad spend produced any customers. A lead is not a customer. A form fill is not a customer. A phone call is not a customer. A customer is someone who booked the job, paid the invoice, and showed up on a financial statement.
We think a marketing budget that can't be tied back to booked revenue isn't a marketing budget — it's a guess. And most local businesses are guessing.
The third job: close customers
The third job — turning leads into booked customers — has the clearest data of all three. And the data has been clear for fifteen years.
In March 2011, the Harvard Business Review published research by James Oldroyd (then at MIT), Kristina McElheran, and David Elkington. The study examined 2,241 U.S. companies and over 100,000 web-generated leads. The finding: firms that tried to contact potential customers within an hour of receiving a query were nearly seven times as likely to qualify the lead — defined as having a meaningful conversation with a key decision-maker — as those that waited even sixty minutes. Firms that waited 24 hours or more were sixty times less likely to qualify the lead than firms that responded within the first hour.[]
The companion research from Oldroyd's MIT work with InsideSales.com was even sharper. Contacting a lead within five minutes versus thirty minutes: 100 times more likely to make contact, 21 times more likely to qualify. After five minutes, lead quality drops sharply.[]
Fifteen years of data. The five-minute rule isn't a tactic — it's a structural law of how prospects make decisions. And almost no local business respects it. The average B2B lead response time, according to follow-up research, sits in the tens of hours. Most local service businesses are no better.
This isn't a website problem. You can have the best landing page in your industry. If the lead it produces sits in someone's inbox for three hours before a human responds, you have lost that customer to whichever competitor's response infrastructure was faster. Conversion isn't a project. It's an operating function.
What replaces the old playbook
So if those are the three jobs — and if each of them works differently in 2026 — what's actually required?
We think the answer is three disciplines, run as one system, accountable to one outcome.
Visibility. Not just local SEO. Local SEO and AI search visibility, operated together, because AI engines and traditional search engines pull from overlapping but distinct signals. Schema markup. Structured data. Citation infrastructure. Review velocity and quality. The mechanics differ across ChatGPT, Gemini, Perplexity, and Google's AI Overviews — and a real visibility operation has to instrument for all of them.
Demand. Multi-channel paid media — Google LSA, Google Search, Meta, YouTube — measured against one outcome: booked customers. Every dollar of spend traceable through to the revenue it produced. Phone calls tracked. CRM records tagged. Closed-loop attribution wired into the actual operating system of the business.
Conversion. Landing pages built to convert, not to communicate. Form response time under five minutes, automated and accountable. Lifecycle infrastructure that nurtures the leads that don't close on first contact. Every step of the path from click to booked customer instrumented and measured.
These are three separate disciplines. Together they are an operating system, not a service. That's the work we think local businesses actually need in 2026 — and almost no one is delivering it.
The stance
Here's the position we'll defend.
Local marketing is no longer one job. It's three. They cannot be run as three separate vendors handing off to each other through the gaps. They cannot be run as PDF reports delivered monthly. They cannot be run by an account manager who's never operated a campaign. They have to be operated — by a team — as one system, with one set of dashboards, and one accountability line: booked customers.
The old agency model assumed local marketing was a project you could outsource and check in on quarterly. That model is finished. Not because agencies are bad, but because the work is no longer a project. It's a function. And functions are operated, not delivered.
This is what we built Sparkul to do.
Sources
- [1]Case Study: The Prevalence of AI Overviews in Local Search. Miriam Ellis & the Whitespark team. Whitespark Q2 2025 Local Search Study. May 2025. https://whitespark.ca/blog/case-study-the-prevalence-of-ai-overviews-in-local-search/
- [2]AI local visibility is up to 30x harder than ranking in Google: Report. Search Engine Land coverage of SOCi 2026 Local Visibility Index. January 28, 2026. https://searchengineland.com/ai-local-visibility-report-2026-468085
- [3]AI Adoption Research. Rand Fishkin. SparkToro. August 2025
- [4]ChatGPT reaches 900M weekly active users. TechCrunch (OpenAI announcement). February 27, 2026. https://techcrunch.com/2026/02/27/chatgpt-reaches-900m-weekly-active-users/
- [5]2026 Local Consumer Review Survey. BrightLocal. 2026
- [6]Zero-click searches up, organic clicks down: Report (covers Semrush State of Search Q1 2025). Search Engine Land. June 5, 2025. https://searchengineland.com/zero-click-searches-up-organic-clicks-down-456660
- [7]Google blog post on organic click stability. Google (Liz Reid, VP of Search). August 2025Citation pending verification before publish
- [8]The Short Life of Online Sales Leads. James B. Oldroyd, Kristina McElheran, David Elkington. Harvard Business Review, Vol. 89, No. 3. March 2011. https://hbr.org/2011/03/the-short-life-of-online-sales-leads
- [9]MIT Lead Response Management Study. James B. Oldroyd. Oldroyd / InsideSales.com. 2007-2011 research
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