A search everywhere strategy means showing up where your buyers actually look, not only where Google ranks you: in AI assistant answers, in short video, in reviews and marketplaces, and then in Google for the final check. Buyers now research in several places before they ever type your name, and a strong Google ranking can sit beside a flat pipeline because the decision was made somewhere you weren't. The fix isn't to be everywhere. It's to find the three or four places your buyers use, be the answer there, and keep Google as the place they confirm you.
TL;DR
- Buyers research in AI, video, and reviews before Google. Rankings alone miss that.
- Being cited in the answer now matters as much as ranking for the query.
- Pick three or four home platforms from what customers tell you, not from trends.
Why can a good ranking sit beside a flat pipeline?
Because the click is disappearing while the influence isn't. ClickVision's 2025 compilation puts around 60% of Google searches ending without a click, and about 77% on mobile. When an AI Overview appears, Seer Interactive measured organic click-through falling from 1.41% to 0.64% on the queries it tracked. So the page can rank second, the report can look healthy, and the buyer can still have made up their mind from the answer above it, or from a video, or from a review thread, without visiting you. By the time someone searches your business by name, they've usually already decided.
Where are buyers searching now?
In more places, and AI is growing fastest. Similarweb's 2025 generative AI report counted more than 1.1 billion referral visits from AI platforms to websites in June 2025, up 357% on the year before, and ChatGPT alone passed 800 million weekly users. Short video and social platforms work as search engines for product discovery, especially for younger buyers. Review sites, marketplaces, and Google Maps are where a shortlist gets checked. Google is still where most people land last, to find the official site or confirm a phone number.
A realistic research path for a service business: see the problem explained in a short video, ask an assistant "who does this well near me," read the reviews on the two names it gives, check the website, call. You were either in steps two and three or you weren't in the decision.
Does being cited beat ranking?
It adds to it. Seer's follow-up study found that brands cited inside an AI Overview earned 35% higher organic click-through and 91% higher paid click-through than brands that weren't, with Seer's own caveat that this is correlation, not proof of cause. The question to add to your reporting is: when buyers research our category, are we named in the answer? That's measured by asking the assistants your buyers' questions once a month and logging who gets cited, which is set out in what an AIO tracker should measure.
What does each platform want from you?
Google: pages that are easy to extract. One question per page, the answer in the first sentence, clear headings, FAQ schema. The full program is in the complete guide to AI search optimization.
ChatGPT, Perplexity, and other assistants: evidence. Specific facts only you have, the same business name and description everywhere, and third-party mentions that back up what your site says. The signals are in what signals make AI search engines recommend a business.
Short video: one question answered per video, said out loud in the first sentence so captions and search pick it up. A tradesperson explaining one sign of a problem on a phone between jobs outperforms polished brand video.
Reviews and marketplaces: volume and detail. Reviews that name the service and the town, replies to every one, and the FAQ answered on the listing itself, not only on your site.
YouTube: a short series on one topic, so a viewer watches three in a row and leaves knowing who to call.
How do you decide where to show up?
Ask, don't guess. Add "where did you first hear about us, and where did you look before calling?" to your intake form and your first sales call, and read the answers for a month. Check analytics for direct and unattributed traffic spikes, which is often what AI and social referrals look like. Then pick three or four home platforms: usually Google plus Maps, one AI-search effort, one review platform, and one content channel your buyers named. Doing four well beats doing nine badly.
Then run one loop: write one strong, specific piece on a buyer question, and cut it into what each platform wants (the page for Google and the assistants, a short video, a review-site FAQ answer, an email). The repurposing method is in how to repurpose long-form content into micro-content. That one-piece-many-platforms volume is the part that's slow by hand, and it's what AI Marketing Labs builds the AIO System to produce, from your own knowledge base and in your voice.
Frequently asked questions
Is Google SEO still worth doing?
Yes. Google is still where buyers confirm a business, and the AI assistants mostly draw from pages that already rank. What's changed is that ranking is the entry ticket, not the whole game.
Does a small business need to be on every platform?
No. Three or four, chosen from what your own customers say they used. A plumber's four are different from a software company's, and the intake question tells you which yours are.
How do I know if AI assistants mention my business?
Ask them. Run ten questions your buyers would ask through ChatGPT, Perplexity, and Google's AI Mode once a month and log which businesses are named. That's your baseline, and it's the number that moves first.
