What I Shared At SEJ Stay

It’s been an eventful begin to the 12 months for AI search, and AI is shifting rapidly, however there’s loads of hype and panic. When actually search is simply doing what it has for the final 30 years, it’s continually self-updating.

At Search Engine Journal, as most different publishers have, we’ve skilled appreciable drops from Google natural visitors. The previous couple of years have been a difficult time for a enterprise mannequin that publishes information and information.

Though this has come to a climax over the previous few months, we recognized adjustments and vulnerabilities a number of years in the past and have taken motion in the previous few years, which has put us in a greater place at present.

Final week, I spoke at the first SEJ reside to speak about the place we are now in 2026, what is working, and what we ought to be abandoning.

From the speak, I’m going to share with you the three foundational issues I feel you want to be focusing on proper now in 2026. Methods you may apply which is able to enable you to as AI impacts our trade.

What You Want To Depart Behind

Earlier than I speak about what you need to be doing, let’s simply be sure to have moved on from outdated modes of considering that may maintain you again.

For those who’re nonetheless obsessively checking rating on a each day foundation, this is like rearranging the deckchairs on the Titanic.

Rating is 2016; visibility is 2026.

The muse of search has at all times been to know who your buyer is, the place they function, and to use content material to join with them and encourage an motion. That interplay at all times used to occur in the SERP, and that was our consideration market.

In 2026, our digitally competent audiences are now working fluidly in a multimodal search journey before shifting to their conclusion. All with an AI layer of visibility interwoven.

Even when you do get a #1 rating, it doesn’t imply you’re going to get a click on as a result of the noise in a SERP can displace the visibility of an inventory proper off the first web page.

Advanced Web Ranking discovered that when an AI Overview is expanded, the first natural consequence is pushed roughly 1,674 pixels down the web page, successfully under the fold on most screens. And AI Overviews are only one layer. Between advertisements, carousels, map packs, and picture outcomes, a primary rating will be nearly invisible.

I’ve skilled shopper product SERPs shift dramatically in the previous few years to the level the place we’ve got given up chasing an arrogance and put our efforts into being inventive to join with prospects.

2026 is all about intent and action-based technique.

Let’s do some precise advertising and marketing and discover these customers the place they are and provides them a motive to have interaction with you. And I feel we are going to all be higher entrepreneurs for it.

What You Want To Transfer Towards – Technique That Can Survive AI

search engine optimization technical excellence is elementary to being found in LLMs. Far from search engine optimization being lifeless, it has by no means been so necessary.

Alongside that, content material is nonetheless the basis of on-line visibility – with out it, you don’t have any visibility.

The next three methods outlined are core components that may supply stability via our transition to the new world of AI search.

1. AI-Proof Content material

What I imply right here is content material that may not be cannibalized/synthesized by AI.

The paradox of visibility in LLMs is that you just need consensus for trust to get attention, however you additionally want high quality and distinction for inclusion. For manufacturers which have already been investing in conducting experiments and collating knowledge, they are one step forward.

I spoke to Grant Simmons on IMHO, and he described this as “golden knowledge“:
Your knowledge.
Your expertise.
Your opinion.

In observe, content material that may keep away from being cannibalized by AI summaries and truly feed the abstract seems to be like:

• Video interviews and first-hand expertise codecs. These acquire visibility throughout social, SERPs, and LLMs as a result of they comprise a human perspective that AI can’t generate from coaching knowledge alone. It’s webinars, it’s IMHOs
• Unique analysis and proprietary knowledge. State of search engine optimization and AI papers
• Opinionated commentary and professional evaluation. Akin to a roster of the finest contributors that are providing their lived expertise.

Anybody can use an LLM to generate a abstract of the question “What is search engine optimization?”

However being a model and a neighborhood providing an expertise of the finest minds in the trade, reside exhibits, distinctive knowledge stories, breaking information, and providing our professional takes on why this issues and what you want to listen to. Being the curator and hub of every part in the trade makes it a vacation spot and supply feeding the LLMs.

Investing on this stage of content material technique can elevate a model to being channel agnostic and cut back your single level of failure from over-reliance on one channel. And that is what we goal to be at Search Engine Journal.

2. Worth-Primarily based Clicks

Completely different stories cite differing numbers, however what is constant is that LLMs are referring visitors.

According to Chartbeat data reported by the Press Gazette, ChatGPT drives 0.02% of referrals to publishers. The Conductor 2026 benchmarks report says that LLM referral visitors is 1.08% of web site visitors throughout 10 industries.

Proper now, it would really feel like a fraction of what we grew accustomed to from Google, however don’t overlook, 1% of trillions of searches is nonetheless a substantial market of alternative.

To capitalize on this is to think about what we will supply to encourage the clicks from the LLM to our model web site. Ask your self:

• Why is somebody clicking on a hyperlink in an LLM?
• Why would somebody need to learn greater than the AI abstract?
• Or, why would somebody need to know extra about my model/services or products.

Pre-carousels, featured snippets, and AI summaries, it was far simpler to acquire a click on from rating extremely on a SERP. While you’re certainly one of solely 10 choices, you’re going to get the check click on that checks out when you are the web page they are searching for.

However, very like it was a much more troublesome job to retain that click on, when you have one thing of worth that connects with the person, you may nonetheless get the click on from a quotation or card in LLMs or SERP AI summaries.

Featured snippets may have reduced click-through rate, however they didn’t kill it. Visibility layers will be alternatives, and SEOs labored exhausting to get #0 as a result of it was a method to soar up the SERP to a high place.

What can drive a click on in an AI search atmosphere:

• Depth the abstract can’t comprise, case research, implementation element, nuance that gives a motive to need extra.
• Credibility and belief, in accordance to Amsive, branded queries with AI Overviews truly see an 18% CTR improve.
• Actionable belongings, providing sources the place the intent can’t be glad by a abstract.

For those who can distinguish the distinction between prompt reply visitors and construct content material for the individuals who don’t need the abstract or the fast reply, then your model can grow to be precious to customers.

3. SERP Alternatives Resistant To AI

Regardless of the concern that AI is going to kill Google, the search engine is not going anywhere.

The place Google has the edge in the race in opposition to LLMs is years of understanding their person and understanding how to ship solutions to queries to fulfill the shopper. They’ve a longtime viewers and know-how infrastructure. And a LOT of knowledge.

No matter the stampede in the direction of LLMs and the AI hype cycle, there is nonetheless loads of opportunity to be had from the search engine.

Brightedge data says that simply over half of queries have AIOs, and Conductor stories that simply over one quarter of analyzed searches triggered an AIO (21.9 million unique Google searches).

This signifies that something between half and three-quarters of SERPs do not have an AI overview. And this implies, there are loads of searches the place intent shall be glad by clicking on a web page. Content material that targets these queries and drives a selected motion sidesteps the AIO drawback fully.

Take into consideration what is resistant to LLMs:

• Information – breaking information that is occurring too rapidly for LLMs.
• Branded – lean into belief and construct a neighborhood that actively searches for you.
• Downloads – my favourite conversion device that has labored for years.

My perception is that AIO would possibly take away visitors quantity, however not the visitors of worth.

Construct Consensus With Your Web site As A Hub

Lastly, if there was one tip I might supply to everybody that would have the most affect, this is able to be “consensus.”

LLMs generate responses primarily based on statistical patterns throughout their coaching and grounding knowledge, so when a model or message seems constantly throughout many sources, it is extra possible to floor in AI solutions. Ahrefs discovered that branded net mentions had the strongest correlation with showing in AI conversations, stronger than some other issue examined. For those who can preserve constant messaging throughout a number of channels, you are in the finest place to be featured.

Alongside this, a study from the University of Toronto discovered that LLMs favor ‘earned media’ from trusted sources that may supply extra authority than posting on your individual web site.

Posting and layering your content material throughout channels reminiscent of Reddit, LinkedIn, YouTube, or any trade publications related to your trade, will assist to construct the messaging related together with your model and assist with inclusion in LLMs.

Make your web site into the hub that connects to all the channels on-line the place you are energetic and contributing, and don’t be afraid to put a few of your finest content material on different channels to get visibility.

The three Adjustments We Made At Search Engine Journal

The largest mistake publishers made in Q1 wasn’t AI. It was treating AI as one thing occurring to them as a substitute of one thing they will navigate strategically.

At Search Engine Journal, we’ve made three particular adjustments in response:

1. We shifted editorial towards experience-first codecs with interviews, evaluation, and authentic analysis.
2. We moved from programmatic income to asset-based sponsorship.
3. We made rising a direct viewers our high metric precedence, in order that we personal our personal viewers.

For those who’re nonetheless utilizing the identical techniques you have got been making use of to search engine optimization since 2020, you then want to rethink what your viewers needs, the place they function, and who your rivals are.

search engine optimization in 2026 consists of visibility in all discovery engines. To stay related, be certain you are a part of the conversations.

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Featured Picture: Shelley Walsh/Search Engine Journal