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Is SEO dead? What marketers and business owners actually say about AI search in 2026.

No, SEO is not dead, but the click is worth less than it was and the answer is worth more. That is the picture from the 2025 and 2026 surveys of marketers, enterprise executives and software buyers, and from the click data published by Google, Pew Research Center, Ahrefs and Seer Interactive. We grouped what they say into fears, myths and wins, and checked each against the numbers.

01 / FIELD NOTES

The short answer.

SEO is not dead. Fewer searches end in a click, especially where an AI Overview appears, but the AI features taking those clicks are assembled from indexed, crawlable pages, and the marketers who answer surveys are updating their SEO, not abandoning it.

“Is SEO dead” is still searched about 590 times a month in the US and 140 in the UK (Google search data via DataForSEO, pulled 10 November 2026). The evidence gives the people asking three things to hold on to: the foundations of SEO decide whether an AI answer can find and quote you at all; being cited by the sources AI engines read now matters alongside ranking; and almost nobody can measure AI visibility well yet, so the loudest claims deserve the most scepticism.

HubSpot’s 2026 State of Marketing put it plainly: “If 2025 was a panic year about what AI search would mean for SEO, 2026 is an action year.” In that survey of more than 1,500 marketers, 70.2% believe they can adapt to changes such as AI Overviews, and 40.6% named updating SEO for search changes a top trend. This digest follows that order: foundations, then mentions, then measurement. For the service side of the same work, our AI search visibility service page sets out the scope.

Six claims, six verdicts
  1. 01 · FEAR“The clicks are gone”: shrinking on informational queries, not gone
  2. 02 · FEAR“Buyers have moved to ChatGPT”: true for research starts, small in traffic
  3. 03 · MYTH“GEO replaces SEO”: it sits on top of SEO
  4. 04 · MYTH“AI traffic converts 23 times better”: one site’s figure, not a benchmark
  5. 05 · WIN“Being cited pays”: consistent, though correlational
  6. 06 · WIN“Joined-up teams get results”: the strongest survey finding of the year

Each verdict has its own chapter, with source, sample and date beside the number.

02 / FIELD NOTES

How we read the evidence.

We used two kinds of source: surveys of what marketers, executives and buyers say they believe and do, and first-party datasets that measure what people actually did. We did not use anonymous social media commentary: it is self-selected, unverifiable and often promotional. Everything below is a published report you can open, listed with dates at the end.

The surveys are HubSpot’s 2026 State of Marketing (1,500+ marketers), Semrush’s companion survey of marketing leaders (26 June 2026), Conductor’s survey of 250+ enterprise executives (as published in its press release of 13 January 2026) and G2’s survey of 1,076 B2B software buyers (March 2026). The behavioural data comes from Pew Research Center, Google, Ahrefs, Seer Interactive, Conductor and Ruler Analytics.

Three cautions. Most of these surveys come from companies that sell SEO or AI visibility software. Self-reported results are weaker than measured ones. And a figure from one website is a case, not a benchmark. If a term is unfamiliar, our AI search glossary defines it in plain English.

03 / FEAR ONE

Fear one: “the clicks are gone”.

Partly true. Where an AI Overview appears, people click organic results far less often. Across all searches, Google says click volume is roughly flat. Both can be true at once because the mix of searches has changed.

The cleanest independent measurement comes from Pew Research Center, which tracked the real browsing of 900 US adults through March 2025. Users who saw an AI summary clicked a traditional result on 8% of visits; users who did not see one clicked on 15%. Only 1% of visits with a summary produced a click on a link inside it.

What 900 US adults did after a Google search (Pew, March 2025)
Clicked a result, no AI summary15%Clicked a result, AI summary shown8%Clicked a link inside the summary1%Ended the session, no AI summary16%Ended the session, AI summary shown26%

Pew Research Center, 22 July 2025. Share of visits to Google search pages, 900 US adults, 68,879 searches, March 2025.

The SEO tool vendors see the same effect. Ahrefs found the average position-one click-through rate for keywords that now trigger an AI Overview fell from 7.3% in December 2023 to 1.6% in December 2025, and says the presence of an Overview correlates with a rate about 58% lower (4 February 2026). Seer Interactive’s client data showed organic click-through on Overview queries falling from 1.76% in June 2024 to 0.61% in September 2025 (September 2025 update). Its April 2026 update, on a larger and broader set of queries, recorded a partial rebound from a floor of 1.3% in December 2025 to 2.4% in February 2026.

Google disputes the gloom. On 6 August 2025 Liz Reid, Google’s Head of Search, wrote that “total organic click volume from Google Search to websites has been relatively stable year-over-year” and that third-party reports of dramatic declines rest on “flawed methodologies, isolated examples” or pre-AI changes. Google published no figures.

Verdict: the click is shrinking on informational queries; the search is not

Every independent dataset shows fewer clicks where an AI answer appears; Google’s aggregate claim is compatible with that if more searches and shifting traffic offset the loss. For a business, quick-answer pages will lose visits and should be judged on whether they are cited; commercial pages still earn clicks when they are the clearest source. Our review of the zero-click search data for B2B goes through each study in depth.

04 / FEAR TWO

Fear two: “buyers have moved to ChatGPT”.

True for how research starts, at least in software, and still small in measured traffic. Buyers ask AI early and arrive late, if at all. The risk is being absent from the answer rather than losing sessions.

G2 surveyed 1,076 B2B software buyers in March 2026. Half (51%) start their research with an AI chatbot more often than with Google, up from 29% in G2’s 2025 report. Buyers have not left Google: 61% use both together. The consequences are the part owners should read twice: 85% think more highly of a vendor when AI includes it in an answer, 69% chose a different vendor than planned because the chatbot recommended it, and one in three bought from a vendor they had never heard of.

Measured traffic is quieter. Conductor’s benchmarks across 13,770 US domains in 10 industries found AI referrals were 1.08% of website traffic between May and September 2025, highest in IT at 2.80%, with 87.4% of them from ChatGPT.

Verdict: real, early and under-counted

A buyer who asks ChatGPT for a shortlist and then searches your name shows up as branded search or direct traffic, not as an AI referral. What matters is whether you are in the answer, which takes a morning to check: our guide on how to check your AI search visibility shows the method, and how ChatGPT chooses companies to recommend explains what the answer is built from.

Illustrative example

The kind of question buyers now put to AI first

Buyer asks: “Which IT support companies near Leeds work with small accounting firms?”

What the answer usually does: names three to six firms, often with a line on each drawn from their websites, directories and reviews.

What the owner needs to know: whether their firm is named, whether the line about them is accurate, and which sources the answer relied on.

An invented question for illustration only, not taken from any business’s data.

05 / MYTH ONE

Myth one: “GEO replaces SEO”.

No. Generative engine optimisation sits on top of SEO. Google’s documentation says there is nothing new to add to appear in its AI features, and the marketers surveyed treat AI search as an extension of their SEO work.

Google’s guidance on AI features in Search is explicit: “You don’t need to create new machine readable files, AI text files, or markup to appear in these features,” and there are “no additional requirements to appear in AI Overviews or AI Mode”. A page has to be indexed and eligible to show with a snippet. That is ordinary SEO, done properly. Our guide to llms.txt, schema and AI crawlers covers what the AI companies’ own documentation says about each file and tag.

HubSpot’s survey found that “websites, blogs, and SEO remain the most popular and impactful channels in 2026, especially for B2B companies”. Conductor’s marketing and AEO respondents named making sure AI systems can “reliably crawl and access content” their top challenge, which is technical SEO by another name.

Verdict: right on the foundations, wrong to stop there

“Just SEO” undersells two differences. Answer engines lift passages, so each section has to answer a question on its own; our guide to how to get cited by AI Overviews and ChatGPT sets out the page patterns. And engines read different sources: Ahrefs found AI Overviews and AI Mode shared only 13.7% of their citations despite 86% semantic similarity (15 December 2025), and Semrush found ChatGPT cites an average of 15 sources per response against 3 for Gemini. Ranking is necessary; being quoted by the sites each engine reads is the extra work. For the budget question, see AEO, GEO and SEO compared.

06 / MYTH TWO

Myth two: “AI traffic converts 23 times better”.

The 23 figure is real but belongs to one website. Across the published studies, AI referrals do convert better than organic search, by a multiple from about 1.2 to 23 depending on who measured what.

The 23 comes from Ahrefs’ own analytics (16 June 2025): AI search was 0.5% of its traffic but 12.1% of its sign-ups. Semrush’s July 2025 study of marketing topics found the average AI search visitor “is 4.4 times as valuable as the average visit from traditional organic search, based on conversion rate”. Ruler Analytics’ May 2026 benchmarks, from more than 5 million conversions across 13 industries, put AI referrals at 5.8% against 4.9% for organic search, roughly 1.2 times by our arithmetic, and Ruler calls it “early data” with “relatively modest” volumes.

How much better AI referrals convert than organic search, by study
Ahrefs, its own site (Jun 2025)23×Semrush, marketing topics (Jul 2025)4.4×Ruler, 13 industries (May 2026)about 1.2×

Ahrefs, 16 June 2025; Semrush, 21 July 2025; Ruler Analytics, 26 May 2026 (5.8% vs 4.9%, multiple calculated by Prolinkage). Different samples and definitions; not directly comparable.

Verdict: better, by an unknown multiple

The direction is consistent across three unrelated datasets. The size is not: the broadest dataset shows the smallest lift. Plan on a small, high-intent channel and measure your own multiple before anyone quotes one at you. Our review of whether AI visibility drives revenue weighs the same studies and their limits, and our guide to tracing AI referral traffic to pipeline shows how to see it in GA4 and a CRM.

07 / WIN ONE

Win one: being cited pays.

Where an AI Overview appears, the brands it cites get more clicks than the brands it leaves out. The evidence is correlational, but it points one way.

Seer Interactive’s September 2025 update found a brand cited in an AI Overview earned 35% more organic clicks (0.70% against 0.52%) and 91% more paid clicks (7.89% against 4.14%) than when not cited, on Q3 2025 averages. Its April 2026 update put the organic effect at 120% more clicks per impression, while noting that even cited brands earn fewer clicks than with no Overview at all.

Verdict: consistent, though not proof of cause

Seer says its data cannot separate cause from correlation; cited pages may be the ones people would have clicked anyway. Even so, the pattern holds across a year of data, and it changes the goal: on informational queries the aim is to be the source the answer quotes. Which sources that means depends on your category. Our study of where AI answers get their sources recorded every citation in 36 answers to B2B buying questions, and our analysis of off-site sources AI trusts for B2B ranks them by effort and value.

08 / WIN TWO

Win two: joined-up teams report results.

The clearest finding in the 2026 surveys is organisational, not technical. Companies that run SEO and AI visibility as one programme report results far more often than companies that split them, and the enterprises spending most are spending on SEO plus AI, not instead of it.

Semrush’s companion survey (26 June 2026) found that among organisations that fully integrate SEO and AI visibility into one workflow, 81% reported increased traffic or leads from AI platforms; among those managing the two separately, 36% did. Semrush does not state the sample size and the result is self-reported, so treat the gap as large rather than precise.

Conductor’s survey of more than 250 senior enterprise executives, as published in its press release of 13 January 2026 (we read the release, not the full report), found 94% planned to increase AEO and GEO investment during 2026, after allocating an average of 12% of digital marketing budgets to it in 2025. Nearly all (97%) said the work was already having a measurable, positive effect on the funnel in 2025, and respondents ranked it their top strategic marketing priority for the year. Their stated challenges: data quality of AI visibility insights, scaling AI-optimised content, and making sure AI systems can crawl their content.

Verdict: the strongest survey finding of the year, with the usual caveats

Both results come from vendors with a product to sell, and “reported increased leads” is not measured pipeline. But the direction matches everything else here: the teams reporting wins treat AI answers as an extension of search.

09 / FIELD NOTES

What marketers say they are doing.

Side by side, the surveys describe a profession that feels ready, is spending more, and cannot yet prove much. That gap is where wasted budgets come from.

What the 2026 surveys found
Enterprises raising AEO/GEO spend (Conductor)94%Believe they can adapt (HubSpot)70.2%Buyers starting with an AI chatbot (G2)51%Can’t measure AI visibility (Semrush)45%Updating SEO is a top trend (HubSpot)40.6%Have tools to track it all (Semrush)9%

Conductor release, 13 January 2026 (250+ executives); HubSpot 2026 State of Marketing (1,500+ marketers); G2, 15 April 2026 (1,076 buyers); Semrush release, 26 June 2026 (sample not stated).

G2 also interviewed 39 B2B software marketers. Its summary: “Most know it matters. Few are fully prepared.” For many, the trigger was a competitor named in an AI answer while their own brand was missing; the most proactive now type buyer questions into ChatGPT, Gemini and Perplexity each month to see who shows up.

10 / FIELD NOTES

The measurement gap.

Marketers are honest about this one. Semrush found 45% of marketing leaders cannot accurately measure their brand’s visibility in AI-generated answers and only 9% have the tools to track all relevant metrics across platforms. The gap is real, and partly fixable.

Google has closed part of it. On 3 June 2026 Search Console gained Search Generative AI performance reports showing impressions, pages, countries and devices for AI Overviews and AI Mode, rolled out to all websites by 31 August 2026. Clicks are not among the listed metrics. For ChatGPT and the other chatbots there is no equivalent; you see referrals in analytics and nothing about the answers themselves.

What a business can do this quarter: a GA4 channel group for AI referrers so ChatGPT, Perplexity and Gemini stop landing in “Unassigned”; a “how did you hear about us?” field on every form, because the buyer who read about you in a chatbot and then searched your name is otherwise invisible; and a fixed panel of buyer questions run through each engine monthly. Our plays on tracking AI referrals in GA4 and asking leads how they heard about you cover the first two, and our one-page AI visibility scorecard turns the panel into something a board will read.

11 / THE SELF-CHECK

Myth or fact? Test yourself.

Six claims you will hear this year. Pick an answer for each and see the verdict with its source. Nothing you choose is sent anywhere.

Answer the six claims to see your score.

12 / FIELD NOTES

What to do this quarter.

Take what the surveyed marketers are actually doing and skip what they are being sold: protect the foundations, earn citations and mentions, and measure what you can.

  • Check the foundations. Can search engines crawl and index your key pages, and are they snippet-eligible? Does each service page say plainly what you do, for whom and where? This is SEO fundamentals, and Google says it is the whole entry requirement.
  • Rewrite your top ten pages answer-first. Open each section with a one- or two-sentence answer that stands on its own.
  • Find where your category is discussed. List the directories, review sites and publications the answers cite, and fix or earn your presence there.
  • Set up measurement. An AI referrer channel group in GA4, a source question on your forms, and Search Console’s generative AI report.
  • Ignore anything sold as a shortcut. Special files, promised placements, or a conversion multiple with no source behind it.

None of this is new work for a team already doing SEO well; it is the same work pointed at more engines. If you want it run as one programme for being named in AI answers alongside your search work, that is the scope of our service, and the questions in the panel below apply to us as much as to anyone.

13 / QUESTIONS

Questions owners ask.

Is SEO dead in 2026?

No. Fewer searches end in a click where an AI Overview appears, but Google’s AI features are built from indexed, snippet-eligible pages, and 70.2% of marketers in HubSpot’s 2026 survey say they can adapt. SEO now has to be judged on visibility, citations and enquiries, not sessions alone.

Is GEO different from SEO?

Mostly not at the foundations. Google says no special files or markup are needed for its AI features. The extra work is writing passages that answer a question on their own and being mentioned on the sources each engine cites; Ahrefs found AI Overviews and AI Mode share only 13.7% of theirs.

Are buyers really starting with ChatGPT instead of Google?

In B2B software, half now do: G2’s March 2026 survey of 1,076 buyers found 51% start with an AI chatbot more often than Google, while 61% use both. Measured AI referrals remain small, at 1.08% of website traffic in Conductor’s 2025 benchmarks, because much of that research never produces a visit.

Does AI traffic convert better than organic search?

Every published study says yes, by very different multiples: about 1.2 times in Ruler Analytics’ 13-industry benchmarks (May 2026), 4.4 times in Semrush’s study (July 2025) and 23 times on Ahrefs’ own site (June 2025). Measure your own multiple before planning around anyone else’s.

How do marketers measure AI search visibility?

Few do it well: Semrush found 45% of marketing leaders cannot measure it accurately and 9% have full tooling. The workable approach combines a monthly panel of buyer questions, Search Console’s generative AI impressions report, a GA4 channel for AI referrers and a source question on enquiry forms.

Sources, all read 14 November 2026: HubSpot 2026 State of Marketing; Semrush, 26 June 2026 and 21 July 2025; Conductor, 13 January 2026 release and AEO/GEO Benchmarks Report; G2, 15 April 2026; Pew Research Center, 22 July 2025; Google, 6 August 2025, 3 June 2026 and Search Central AI features documentation; Ahrefs, 16 June 2025, 15 December 2025 and 4 February 2026; Seer Interactive, September 2025 and April 2026; Ruler Analytics, 26 May 2026; DataForSEO, pulled 10 November 2026.

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