At this time’s Memo is a obtain straight from my mind concerning the present state of Search and AI. A lot occurred in the previous couple of weeks, and I haven’t had an opportunity to type out my ideas.
Till now.
I’m ending this Memo with unique perception into the KPIs I measure for search proper now for premium subscribers .
On this problem, we’re taking a look at:
- The function of clicks in the way forward for search engine optimization.
- How our work “followers out” into many channels.
- AI Mode and agentic search.
- The recent battle between Google and ChatGPT.
Let’s dive in!
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On April 16 at 9 a.m., OpenAI dropped ChatGPT o3.
By midday, I’d already scrapped the slide deck I had completed the evening earlier than.
That whiplash has turn into routine: Every new mannequin triggers the identical loop – panic that it’s smarter than I’m. Reduction once I discover the perimeters. Then, contemporary panic because the cycle restarts.
When my coach, Heather, heard me vent, she dropped a killer quote that caught with me since: “Kevin, fixed change is the brand new regular.”
She’s proper.
Releases land weekly, search interfaces mutate in a single day, and the bottom underneath each search engine optimization technique retains sliding.
As we cross the midpoint of 2025, I need to freeze-frame what’s taking place to go looking proper now – and what it means for you.
Right here’s the brief model:
- Google’s AI Overviews (AIOs) inflate impressions whereas suffocating clicks.
- The clicks that survive carry extra buy intent than ever.
- “Efficiency” search engine optimization is morphing into an “affect” play that spans Google, LLMs, and each social feed your prospects seek the advice of for a second opinion.
Let’s unpack every shift, beginning with the energy we’ve been counting all unsuitable.
Empty Energy
Since Google widened AI Overviews (AIOs) in March, one sample guidelines all of them: impressions up, clicks down.

Why the hole?
Two causes:
- Individuals run more searches attributable to AIOs.
- Google now information an “impression” the second somebody expands the overview, and each cited supply is logged as place 1.
The consequence: visibility inflation with out guests.
2024 was the yr of peak visitors.
And taking a look at how few folks clicked on hyperlinks (just a few p.c) within the AIO usability study makes me assume it’s completely potential clicks drop to 10% or much less of what we’ve been used to in 2024. And that’s okay.
Clicks have all the time been empty energy anyway. They have been helpful as a number one indicator for conversions/income/pipeline/gross sales/and so on. (However that’s about it. Clicks didn’t imply {dollars}, and so they didn’t imply actual enterprise progress.)
After all, to us search engine optimization people, dropping clicks sounds grim till you look nearer at person conduct:
- We thought pogo sticking was dangerous, however it’s simply regular search conduct.
- The one click on that issues is the one which ends the journey.
- In our examine, 80% of these “closing reply” clicks nonetheless land on natural outcomes, not the AIO.
- When folks do click on, it’s to validate, examine, or purchase – high-intent actions that convert.
So, sure, uncooked clicks are vanishing, however the ones that survive are pure protein, not empty energy.
From Efficiency To Affect
Clicks are collapsing, however the ones that stay are loaded with intent.
That flips search engine optimization’s worth prop on its head.
For 20 years, we offered search engine optimization as a efficiency channel, whether or not we needed to or not.
The usual calculation was: Search quantity ✕ CTR ✕ CVR = Projected {dollars}.
When a key phrase couldn’t survive that spreadsheet, it died in committee.
In the meantime, those self same executives drop seven figures to get a brand the dimensions of a postage stamp on an F1 automobile – no attribution mannequin in sight.
Why? Affect.
The assumption that persistent visibility bends choice.
search engine optimization is crossing the identical Rubicon. In an AIO-and-LLM world, you’re not simply preventing for visitors; you’re preventing for mindshare wherever prospects ask questions:
- Google’s AI Overviews.
- ChatGPT.
- Reddit threads, YouTube feedback, Discord chats.
Your model must echo throughout all of them.
Meaning new yardsticks (i.e., KPIs, which I specified by the premium part on the finish of the article).
In brief, search engine optimization is graduating from direct-response to affect.
Deal with it – and price range for it – like every other model channel that shapes choice lengthy earlier than the purchase button.
Channel Fan-Out
AI Mode turns a single immediate into dozens of behind-the-scenes queries – a course of engineers name “fan-out.”
The identical factor is occurring on the channel stage: Search itself is fanning out, escaping the browser and popping up in each feed, app, and machine.
Though search engine optimization professionals have been speaking about it for years, in 2025, that lastly, truly issues – and for 3 massive causes:
1. LLMs have injected search into each app. Need a cookie recipe breakdown in Microsoft Excel? You possibly can have it. Meta shipped a standalone Meta AI and wove it into WhatsApp, IG, and FB. YouTube and Netflix are testing AI Overviews so you possibly can “search” for the proper video with out ever leaving their partitions.1
Translation: discovery not begins – or ends – on Google.com. Every walled backyard is now its personal mini-SERP, and Google has to struggle a thousand little AI serps, not simply ChatGPT.
2. Individuals cross-check AI with people: Our AIO usability examine confirmed a constant sample: Customers learn the AI reply, then hop to Reddit threads, YouTube feedback, or Discord chats to see whether or not actual folks agree.
Credibility now comes from echoing throughout each machine solutions and human conversations. In case you’re invisible on social or neighborhood platforms, you’re invisible within the closing determination loop.
3. The pie is by some means getting larger. TikTok, Fb, Instagram, Threads, Bluesky, YouTube, Google, ChatGPT, Perplexity, Claude, Snapchat – the listing retains rising, and so do their each day energetic customers.
The place’s the additional time coming from? Principally legacy media: linear TV, radio, even mainstream information websites. Consideration is being reallocated, not reinvented.
What it means:
- Your model’s “search” footprint is now the sum of each place folks ask questions.
- Monitoring solely Google rankings is like checking the climate on one road nook.
- To win price range, tie every extra platform again to concrete buyer perception – ideally gathered from, you guessed it, speaking to prospects and utilizing instruments like Sparktoro.

AI Mode
AI Mode is the “closing boss” of search.
Sundar Pichai instructed Lex Fridman that “the outcomes web page is only one potential UI,” and VP of Search Liz Reid referred to as it “a assemble.”
In different phrases, Google’s completely happy to toss the basic SERP the second the mathematics works.

However proper now, the mathematics doesn’t.
Similarweb exhibits AI Mode in exactly 1% of queries, by design.
A single AI Mode reply can swallow 20-50 follow-up searches, erasing the advert slots these pages used to hold.
Till Google finds a brand new strategy to cost (embedded adverts, pay-per-chat, who is aware of), rollout will keep throttled.
When that enterprise mannequin lands, AI Mode turns into paradise for anybody who understands person intent.
Behind every immediate, Google “fans-out” dozens of micro-queries – worth, specs, comparisons, close by, evaluations – and stitches the solutions collectively.
These micro-queries are the exact same long-tails you optimize for right now; they’re simply fired in parallel and reassembled right into a narrative.
The right way to prep whereas the gate remains to be half-closed:
- Map the possible fan-out set for each core matter (take a look at Individuals-Additionally-Ask, Associated Searches, Reddit threads, and so on. – extra in a future Memo).
- Monitor rankings for every micro-query; gaps there equal misplaced citations in AI Mode.
- Construction content material so it’s straightforward to cite: tight solutions, clear sub-heads, wealthy schema.
Do the homework now and also you’ll be prepared when AI Mode graduates from beta to default – at the very least till the subsequent boss struggle, totally agentic search, exhibits up.
ChatGPT Vs. Google
The twist of 2025 is that Google is assembly ChatGPT by itself turf.
AI Mode lifts Google’s outcomes web page into the identical chat-first UI that OpenAI popularized – proof that Google is prepared to “stage down” from its ad-optimized SERP if that’s what customers count on.
Final yr, I shared this graphic for the launch of ChatGPT Search and received a lot of questions:

Two Takeaways From The Newest Projection (Chart Beneath):
- In case you extrapolate the complete knowledge set, ChatGPT overtakes Google in October 2030.
- In case you extrapolate solely the final 12 months, the crossover occurs mid-2026.

Necessary Caveats:
- Progress shouldn’t be future. Google nonetheless owns distribution (Android, Chrome, Safari offers) and might sluggish ChatGPT by matching its options inside AI Mode and Gemini.
- The projection measures question share, not income share. Even when ChatGPT wins utilization, Google’s adverts can preserve the money register ringing longer.
- A single platform tweak (bundling, default settings, service offers) can bend both curve in a single day – consider how Microsoft pushed Bing Chat through Home windows updates.
What To Watch Subsequent:
- Pay-per-chat or embedded-ad experiments: Whichever firm nails monetization with out wrecking UX will dash forward.
- Default-search contracts (Apple, Samsung, Mozilla) renewing in 2026–27. Shedding any of these can be a physique blow for Google.
- Cell latency and offline mode: If ChatGPT can run acceptably on-device, Google’s net moat shrinks quick.
Backside line: deal with the Google-ChatGPT battle as a reside A/B check for the way forward for search.
Your job is to be seen in each ecosystems till a transparent winner emerges – and that will take years.
Conductor Mode

So, the place does all of this go away search engine optimization (leaders)?
Much less within the weeds, extra on the rostrum.
Your job is not to fine-tune a single channel; it’s to maintain a whole orchestra in time as search fragments throughout AI Overviews, chatbots, and social feeds.
No different function sits on the intersection of a lot (intent) knowledge – and that provides you license (and accountability) to conduct.
1. Paid Media
- Pipe impression, click on, and conversion knowledge from basic SERPs, AIOs, and AI Mode again into one shared Looker Sprint.
- Swap key phrases and inventive weekly; AI churn calls for shorter suggestions loops.
2. Social & Neighborhood
- Mine Reddit threads, TikTok feedback, and Discord chats to floor the “why” behind queries.
- Feed these insights straight to content material so each article solutions an actual objection.
3. Product Advertising and marketing
- Hand them the precise language customers copy-paste into prompts; that’s gold for positioning.
- Return the favor by baking the newest differentiators into each meta description, schema tag, and featured snippet reply.
4. Content material/GTM
- Bundle what you study into knowledge tales, interactive instruments, and professional POVs – property price citing by each people and LLMs.
- Construction it so brokers can raise solutions wholesale: tight headers, clear claims, proof hyperlinks.
What’s Subsequent?
Search will get much more agentic.
We may quickly optimize not only for folks however for the AI helpers who act on their behalf.
Meaning:
- Increased perception density per paragraph.
- Structured outputs (tables, JSON, how-to checklists) prepared for zero-click consumption.
- APIs or embeddings that allow brokers pull your knowledge instantly.
We’re not there but, however the runway is brief.
Shift from tactician to conductor now, and also you’ll have the rating in hand when the orchestra modifications devices once more.
Baton up.
1 YouTube Tests AI Overviews In Search Results; Netflix Tests New AI Search Engine to Recommend Shows, Movies
Featured Picture: Paulo Bobita/Search Engine Journal
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