Small Businesses Are About To Get Better Leads From Search - If they do it right
The search behaviour is changing and therefore the opportunities for small businesses. Here are some data points and my personal take on SEO for small businesses.
My Thesis
“Small businesses that have a clearly defined ICP, and a good on- and off-page structure and a decent amount of social signals will see a steady stream of leads.”
How Do I Come Up With This Thesis?
After taking a break from SEO for over a year to focus on other parts of my career, I found myself watching how people search. Not on purpose, it just kept happening. The way search has changed in the last eighteen months is just mind-blowing to me.
What I noticed in myself and in other people is that searching got more detailed. Instead of throwing two keywords in and hoping the result is the right one, people take their time and write down what they are actually looking for. Nobody did that for the last twenty years, because it did not work.
Search is getting more granular, and that increases the chance for a small business to get the last click.
Most of what I read says the opposite. The argument goes that Google now keeps the answer, the click never happens, and the small site starves.
The Search Box Got Longer
For about twenty years people typed two or three words into Google and scanned the results. "plumber berlin." "crm software." That habit is breaking down.(Luckily 🕺)
Search-enabled ChatGPT prompts grew from 4.7 words to 8.7 over twelve months in Semrush's US clickstream panel (Semrush). People stopped translating themselves into keyword language and started describing their situation.
The queries ChatGPT writes for itself got longer too. Peec tracked 20 million of the machine-generated fan-out queries sitting behind those prompts and found their average length roughly doubled, from about six words in October 2025 to twelve by January 2026, with a near-identical trendline across all five countries it sampled (Peec AI).
So specificity is rising from both directions. The person types more, and the machine turns what they typed into longer, sharper searches of its own.
The number I find most useful sits back in the Semrush study. For most of the period they measured, between 65% and 85% of prompts had no match in Semrush's 27-billion-keyword database (Semrush). The way people phrase things to ChatGPT largely does not exist as tracked search volume.
Longer More Detailled Searches
I assumed people were asking a long chain of follow-up questions and closing in on an answer over many turns. Semrush's panel logs about 1.75 queries per ChatGPT session as of February 2026. It sat flat at roughly 1.2 for most of 2025 before jumping in the final four months (Semrush). Semrush reads that jump as power users going deeper. Either way it is nowhere near the back-and-forth I had pictured.
What happens instead is that someone types their whole situation into the first message, and ChatGPT breaks that single prompt into two or three sharper searches on its own. The number of those sub-searches barely moved even as their length doubled, sitting at 2.4 to 2.8 per prompt in October and 2.3 to 2.8 in January (Peec AI). Peec's read is that the machine is making each search more precise rather than running more of them.
Somebody Will Click And It Will Be The Right Person
There is a fair objection here, which is that a mention inside an AI answer is worth nothing when 68% of US Google searches already end without a click, up from 60% in 2024 (SparkToro). Those two figures come from different panels, so treat the gap as directional rather than precise.
What keeps the click alive is that people are trusting these answers less while using them more. In 2025, 82% of US consumers said AI search was more helpful than traditional search. Asked the same question a year later, 54% did, and outright skeptics went from 3% to 17%. However, 70% said they use AI tools for search more than they did last year (Search Engine Land).
Where that combination ends up: 50% of people who use AI-featured search daily say they click through to a cited source, against 14% of infrequent users (GWI via Search Engine Journal). GWI reads this as habit rather than doubt. These are people who treat the AI answer as a starting point and the cited source as the destination.
It is self-reported, with no published sample size, and it says nothing about how often any single search produces a click. But the direction is the part that matters to a small business. The deeper somebody goes into AI search, the more likely they are to go looking for the source. And assuming that we will see way more power users in the future, that source can be you.
Being Big Stopped Helping
Google ranks you higher when other websites link to you (Don't feel offended SEOs; it's just simplified🫶🏼). Twenty years of SEO were mostly a fight over that, and it was a massive battlefield.
Inside an AI answer it does close to nothing. Surfer analysed five million cited URLs across AI Overviews, AI Mode, ChatGPT and Perplexity and found domain authority barely registered. Correlations with PageRank, harmonic centrality and Surfer's own Domain Score all landed between -0.07 and +0.03, close enough to zero to be noise (Surfer).
So the thing that kept a five-person company off page one for twenty years does not apply to the answer your customer is reading now.
of AI citations, in a 2025 study of long-tail queries, went to pages sitting outside Google's top 100 for that query
is all the top-cited domain gets. Reddit is ChatGPT's most-cited source and still takes under three percent
How Social Signals Are Getting More Important Than Ever For Small Businesses
When I say social signals I do not mean likes and shares. I mean the mentions themselves: a YouTube video that names you, a LinkedIn article that quotes you, a Reddit thread that recommends you. Those are the pages AI engines pull from when they build an answer.
Social platforms make up about 5.54% of all AI citations. Within that slice, Reddit accounts for 46.4%, YouTube for 31.8% and LinkedIn for 13%, with Reddit and YouTube together carrying 78.2% (OtterlyAI). A separate report from Wellows found the same rank order across 350,000 citations from five engines (Wellows).
The correlation data points the same way. Across 75,000 brands, YouTube mentions correlated with brand mentions in AI answers at 0.71 to 0.74 depending on the engine, ahead of everything else Ahrefs measured. Branded web mentions came in between 0.66 and 0.71. Link metrics were described only as "very weak," far below every brand signal in the study (Ahrefs).
LinkedIn is where this gets interesting for anyone running a small business. Semrush analysed 89,000 LinkedIn URLs cited by ChatGPT Search, Google AI Mode and Perplexity across 325,000 prompts. On ChatGPT Search and on Google AI Mode, content published by individual members made up 59% of all LinkedIn citations. Company pages only came out ahead on Perplexity. LinkedIn articles accounted for 50 to 66% of cited LinkedIn content, while feed posts managed 15 to 28% (Semrush).
What one person writes gets quoted more than what the company account publishes, on two of the three biggest engines. Small businesses have never been on the right side of a rule like that before.
What Does This Mean For Small Businesses And Their SEO Efforts
Off-page SEO now means presence rather than links.
For twenty years, off-page work meant acquiring backlinks, and whoever had budget acquired more of them. The signals that predict whether an engine quotes you are mentions, videos, articles and threads on platforms anyone can post to. Backlinks still feed Google's classic index, so this is an addition to the job rather than a replacement.
On-page changed too, and in a smaller way than people expect. Engines pull passages, not pages. A section that buries its answer three paragraphs down gets skipped even when the answer is good.
What decides which passage gets picked is how closely it matches the question. Of the pages ChatGPT retrieved while building an answer, those whose title overlapped 50% or more with the query were cited 20.1% of the time, against 9.3% for pages under 10% overlap (AirOps). AirOps does not define how it measured that overlap or test whether editing a title changes the outcome, so read it as evidence that specificity gets rewarded rather than as a title-rewriting trick.
A page built around "marketing agency" has close to nothing to match against a twelve-word description of somebody's actual problem. A page that names the exact customer and the constraint they are working under matches on contact.
The uncomfortable part is that this is good news for owner-operators and bad news for the way most agencies sell. Getting cited in a Reddit thread, or having a founder's LinkedIn article quoted, does not require a media budget. It requires having something specific enough to say that somebody repeats it. That is a different constraint from the one small businesses have been losing on, and it is one they can actually clear.
Two things temper it. Reddit is the most-cited domain in AI answers and it is a platform you do not control, where self-promotion gets punished and you often compete against a thread about your own category rather than a competitor. And building brand presence is slower than buying links ever was, which favours whoever started earlier.
If you take one thing from this section: your LinkedIn articles and your YouTube appearances are doing SEO work now, and your backlink budget is doing less of it than it used to.
Here are my practical step for small businesses
Was My Thesis Right?
My thesis was that small businesses that have a clearly defined ICP, and a good on- and off-page structure and a decent amount of social signals will see a steady stream of leads. Based on the data, I would argue it is going in that direction. With one big condition attached, which I will get to.
The part I am confident about is that the barrier came down. Domain authority no longer decides who gets quoted, citations spread across thousands of domains instead of concentrating on page one, and the pages that match a specific question get picked over the pages that match a category. Those are four separate studies pointing the same way.
And something is working against me. The strongest predictor of visibility is now how often people mention you, and being widely talked about is a slower process. Big Brands with bigger budgets and more resources can execute that strategy faster but not necessarily better.
Which brings me to the condition. All of this only holds IF small businesses take the change seriously.
That means rethinking your content strategy and positioning yourself as the expert across the channels that matter. I know this sounds painful, and I know 90% of people do not want to do it. But if you want to stay relevant and credible, you have to put yourself out there and show what you know. Only then do your chances of being visible go up.
I wish you good luck with it. I believe in you 🫶🏼