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Free from Outrider Digital · June 2026

The State of Search 2026

The full SEO, GEO & AEO playbook for the AI era. Sourced data. 30 actions. One report.

Backed by 32 cited primary sources

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The numbers
58.5%

of US Google searches end with zero clicks (2024)

SparkToro & Datos clickstream study, 2024
2.5B

monthly users of Google AI Overviews as of May 2026

Google I/O 2026 keynote, Sundar Pichai
−58%

CTR drop for position #1 when AI Overviews are present

Ahrefs analysis of 300,000 keywords (Dec 2025)
1B+

monthly users on Google AI Mode, one year after launch

Google I/O 2026 keynote
90%

of brands have zero mentions in AI search results (Q1 2026)

Victorious AI Visibility Study, 177 brands across 3 verticals
Definitions

First, the definitions

Three terms appear throughout this report. Here is exactly what each one means.

SEO

Search Engine Optimization

SEO is the practice of improving a website's visibility in traditional search engine results, the ranked list of blue links Google, Bing, and similar engines return when someone types a query.

It works by aligning your content, technical setup, and inbound links with signals those engines use to judge relevance and authority. In 2026, those signals have expanded to include E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness), original research, and topical depth, but the underlying goal is unchanged: earn a higher position in ranked results so more people click through to your site.

GEO

Generative Engine Optimization

GEO is the practice of structuring your content so that AI-powered platforms, ChatGPT, Google AI Overviews, Gemini, Claude, Perplexity, select, summarise, and cite it when generating answers for users.

Unlike SEO, which targets a deterministic ranking algorithm, GEO targets probabilistic language models that synthesise information from multiple sources. Success is not a ranked position. It is being trusted, cited, and named by an AI system answering a question your audience is asking. The primary signals are factual density, clear structure, entity recognition, and source credibility, not keyword density or link volume alone.

AEO

Answer Engine Optimization

AEO is the technical layer beneath GEO: optimising specifically for direct-answer surfaces such as Google's featured snippets, voice assistants, and the LLM-generated responses inside AI chatbots.

Where GEO is a strategic frame, AEO is a set of concrete tactics, implementing FAQ and HowTo schema, writing in natural-language Q&A format, structuring pages with clear H2/H3 subheadings, and ensuring AI crawlers can access your site. The goal is to become the source an AI quotes verbatim or recommends by name when a user asks a specific question, rather than simply appearing somewhere in a list of results.

01

Google's 2026 Core Updates, Decoded

Three major algorithm events in the first five months of 2026, each tightening the screws on thin, AI-generated, and expert-lite content.

Google released three significant updates in 2026, each building on the same thesis: verifiable expertise beats stated authority. The era of ranking well by following on-page tactics alone is over.

The March 2026 Core Update (launched March 27, completed April 8) re-weighted 'Information Gain' as a ranking signal, measuring how much genuinely new knowledge a piece adds relative to what already ranks. It drove far higher volatility than December 2025, with 79.5% of URLs in the top 3 changing positions and 24.1% of pages ranking in the top 10 falling out of the top 100 entirely. Sites built on original research and demonstrated expertise recovered or improved; intermediary content farms took the hardest hits.

The March 2026 Spam Update, released in quick succession, targeted AI-generated content lacking human oversight. AI content reviewed by subject-matter experts was largely unaffected; unsubstantiated claims without evidence were penalised regardless of production method.

Google I/O 2026 (May 19) reframed the Search product entirely: AI Mode crossed 1 billion monthly users, Gemini 3.5 Flash became the default model across AI surfaces, and Search queries reached an all-time high quarter-over-quarter.

The May 2026 Core Update (May 21 to June 2) completed its rollout on June 2, 2026. Google's guidance is unchanged: make helpful, original content for people. There is no quick recovery from a core update; the biggest changes tend to follow the next update. Audit and improve content quality now.

79.5%

of top-3 URLs changed position during March 2026 core update

Amsive March 2026 Core Update Analysis
24.1%

of top-10 pages fell out of top 100 after March update

Search Engine Land / Amsive data
02

The Zero-Click Era is Here

58.5% of US Google searches end without a single click to an external website (SparkToro/Datos, 2024). When an AI Overview appears, clickstream estimates put the zero-click rate as high as ~83%, and around 90%+ in Google AI Mode, though these figures vary by source and methodology.

The zero-click phenomenon began with featured snippets around 2014, but AI Overviews have accelerated the trend dramatically. SparkToro and Datos clickstream data shows 58.5% of US Google searches end without an external click, and on mobile that rises to 77%.

The impact is most severe at the top of the results. Ahrefs' December 2025 analysis of 300,000 keywords found that position 1 CTR drops 58% when an AI Overview is present. Positions 2-3 drop 50-47%, positions 4-10 drop roughly 38-29%, and position 10 still loses 19.4%. Only branded queries are an exception: CTR actually increases on brand-name searches when an AI Overview appears, because the overview acts as a trust signal rather than an answer.

HubSpot publicly attributed a 70-80% organic traffic loss between late 2024 and Q2 2025 to AI Overviews absorbing informational queries. Its CEO noted that top-of-funnel content now feeds Google's answers without generating clicks back to the source. This pattern now affects the majority of informational-heavy sites in every vertical.

The counterintuitive finding: AI-referred visitors tend to convert better than traditional organic. Ahrefs found their own AI search traffic represented 0.5% of total visits but drove 12.1% of signups, a 23x advantage in their own data (one company's traffic, not a universal benchmark). Other vendors report similar directional lifts. The implication: fewer clicks, but higher intent per click.

58.5%

zero-click rate for US Google searches (2024)

SparkToro & Datos clickstream study, 2024
~83%

est. zero-click rate when AI Overview is present (varies by study)

Similarweb measurement of post-AIO search behavior (via Searchlab.nl, secondary source)
−58%

CTR drop at position #1 when AI Overview is present

Ahrefs analysis of 300,000 keywords, Dec 2025
23×

conversion advantage in Ahrefs' own traffic (their data, not a universal benchmark)

Ahrefs own traffic analysis: 0.5% of visits, 12.1% of signups (via Averi.ai, secondary source)

The Zero-Click Escalation

Share of searches ending without an external click

US Google (baseline) 58.5%
When AI Overview shows (est.) 83%
Google AI Mode (est.) 93%

Sources: SparkToro/Datos 2024; Similarweb / Searchlab.nl 2026

CTR Decline by Ranking Position (AI Overview Present)

Percentage drop vs. same position without AI Overview

Position 1
-58%
Position 2
-50.8%
Position 3
-46.4%
Position 4
-38.8%
Position 5
-32.6%
Position 6
-30.5%
Position 7
-29.7%
Position 8
-28.8%
Position 9
-29.7%
Position 10
-19.4%
Source: Ahrefs analysis of 300,000 keywords, December 2025
90% of brands have zero AI search mentions
90%

90% of brands have
zero AI search mentions

Across healthcare, SaaS, and financial services, 9 out of 10 brands are completely absent from AI-generated search answers. If you're not actively optimising for AI visibility, you almost certainly have none.

Source: Victorious AI Visibility Study, Q1 2026, 177 brands

Still to come

The rest of the report

You've read the first two shifts in full. Here's the headline of every section still ahead, the why and the how for each is in the report.

03

The AI Search Landscape in 2026

Google still owns 90%+ of traditional search. But in the AI chatbot layer, the race is wide open, and fragmented in ways that fundamentally change your visibility strategy.

04

Modern SEO: What Still Works in 2026

Technical SEO and content fundamentals have not died. They have become the foundation for every other layer of search visibility, including AI citation.

05

GEO: Generative Engine Optimization

GEO is the practice of optimising content so AI-powered platforms select, summarise, and cite it in generated answers. It is distinct from SEO, and in 2026, it is non-optional.

06

AEO: Answer Engine Optimization

AEO focuses on LLM visibility specifically, optimising for probabilistic, generative models rather than deterministic search engines. It is the technical layer that sits under GEO.

07

llms.txt: The Honest 2026 Verdict

The hype was significant. The empirical data is clear. Here is what you actually need to know about llms.txt before investing time in it.

08

Your 2026 Search Strategy Action Plan

Thirty concrete actions, organised by priority. Start with the foundations: everything else builds on them.

Myths

Common myths, debunked

8 things you may have heard, and what the data actually shows.

Myth

SEO is dead

Reality

SEO is the foundation everything else builds on. AI systems cite pages they can crawl and trust, and trust largely follows traditional SEO signals: topical authority, quality backlinks, clean technical setup, and E-E-A-T. The surface has expanded beyond blue links, but the fundamentals have not been replaced.

Myth

You cannot influence what AI says about you

Reality

Influencing AI-generated answers is precisely what GEO and AEO are designed to do. Answer-first content structure, factual density, schema markup, entity consistency across the web, and earning citations on domains AI models trust are all measurable, actionable levers. 90% of brands have zero AI mentions because they have not tried, not because it is impossible.

Myth

More keywords equals higher rankings

Reality

Keyword stuffing has been actively penalised since Google's Panda update in 2011. In 2026, topical authority, the depth and breadth of coverage within a defined subject area, is the dominant content signal. One comprehensive, well-structured piece on a narrow topic outperforms ten thin posts that force-fit the same phrase.

Myth

AI Overviews killed all organic clicks

Reality

Click volumes are down significantly, position 1 CTR drops 58% when an AI Overview is present (Ahrefs, 300,000 keywords). But the visitors who do click tend to convert at higher rates: in Ahrefs' own data, AI-referred traffic was 0.5% of visits but drove 12.1% of signups (a 23x advantage in their data). Fewer clicks, higher intent per click.

Myth

llms.txt is essential for AI visibility

Reality

Of 500 million AI bot visits monitored over 90 days, only 408 targeted llms.txt (Limy.ai). GPTBot, ClaudeBot, PerplexityBot, and Google-Extended all ignore the file and crawl HTML directly. The one legitimate use case is IDE agents like Cursor and Continue. For everyone else, the effort is better spent on structured data and crawler access.

Myth

You need to rank #1 to get AI citations

Reality

AI Overviews pull citations from positions up to approximately 40, not just the top 10. Pages ranking 11-20 have a real and documented shot at AI citation. Factual density, schema markup, and clear structure often matter more than raw ranking position for whether a page gets cited.

Myth

Schema markup is optional

Reality

Schema is a primary AI retrieval lever. Google's own AI search documentation lists structured data as a best practice for AI visibility. FAQ, HowTo, Article, Organisation, and Person schema give AI engines machine-readable signals about your content's purpose, authority, and structure, signals they use to decide whether to cite you.

Myth

Paid search is a safe backup when organic traffic drops

Reality

Paid CTR on AI Overview queries dropped 68% (Yotpo AEO Tools Report 2026). If AI Overviews are suppressing your organic clicks, they are likely suppressing your paid clicks on the same queries too. Diversifying into content that earns organic AI citations is a more durable response than increasing paid spend on the same keywords.

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