The Zero-Click Discount:
How AI Search Is Repricing SEO, Affiliate and Content Assets

For more than a decade, buyers of digital businesses treated Google organic traffic as a renewable asset: rank, attract sessions, convert, and apply a multiple to the cash flow those sessions produced. That underwriting model is breaking. AI Overviews and related answer surfaces are converting a meaningful share of commercial and informational queries into zero-click outcomes. The valuation implication is not abstract. Assets whose earnings depend on open-web search referral are being repriced in diligence rooms right now.

This article sets out how Acquiry is reading the evidence, how the zero-click shift should change buyer and seller behaviour, and which digital assets still clear full multiples. It is written for founders preparing an exit, strategics and private equity teams underwriting media and affiliate targets, and operators deciding whether to buy, hold or consolidate under AI search pressure.

01 Evidence

What has actually changed

Google began rolling out AI Overviews widely in May 2024. By March 2025, Pew Research Center analysis of real browsing behaviour from 900 US adults found that roughly one in five Google searches produced an AI summary. When a summary appeared, users clicked a traditional search result in 8% of visits, versus 15% when no summary appeared. Clicks on links inside the summary itself occurred in only 1% of those visits. Users were also more likely to end their browsing session after seeing a summary (26% versus 16%).

Those are behavioural facts, not operator anecdotes. They matter because most SEO and affiliate businesses are underwritten on clicks, not impressions. Impressions that never leave Google do not fund servers, writers, affiliate networks or debt service.

Similarweb’s publisher research, reported widely in mid-2025, put a market-level frame around the same pattern. For news-related Google searches, the share ending without a click rose from 56% in May 2024 to 69% in May 2025. Over a related window, organic traffic to news sites fell from a mid-2024 peak above 2.3 billion visits to under 1.7 billion. Similarweb’s own summary of the US publisher impact states that organic traffic to news sites dropped about 26% after AI Overviews launched. Digiday’s analysis of Similarweb data also noted that referrals from ChatGPT and other AI platforms, while growing quickly, have not offset the broader decline in search-driven visits.

None of this means every website is worthless. It means the conversion of ranking into revenue has changed, and that change must show up in valuation models, earnout design and diligence checklists.

Why this is an M&A event, not only an SEO problem

Digital M&A already prices platform risk. Amazon Associates commission cuts, Meta algorithm changes and app-store policy shifts have all left scars on multiples. AI search is the next platform risk, with a twist: the same company that aggregates demand is also answering the query.

In a transaction, that creates three concrete effects.

First, historical EBITDA becomes a weaker predictor of forward cash flow. A trailing twelve-month P&L built on 2023–2024 search economics can overstate 2026–2027 cash generation if the keyword mix is heavily AI Overview-exposed. Buyers who still pay 4x–6x SDE / EBITDA on unadjusted trailing earnings are underwriting yesterday’s distribution system.

Second, quality of revenue replaces volume of traffic as the primary screen. Buyers care less about “1.2 million monthly sessions” and more about what share of those sessions is branded, email-driven, direct, app-based, paywalled, or otherwise independent of open SERP clicks. Session volume without durability is marketing theatre.

Third, consolidation logic accelerates. Operators who already own diversified distribution, first-party data and brand authority can acquire impaired pure-play SEO assets for the content library, domain authority residue, affiliate relationships or editorial talent — and migrate monetisation off Google-dependent funnels. Distressed sellers who wait for “traffic to come back” often discover the buyer pool has already moved on.

The parallel is imperfect but useful: when programmatic display CPM collapsed in certain verticals a decade ago, the winners were not the publishers who wrote longer posts about CPMs. They were the ones who rebuilt monetisation around subscriptions, commerce, events and owned audiences. AI search is forcing a similar rebuild, only faster.

Evidence, caveats and contrary readings

A rigorous buyer should hold two ideas at once.

On one side, Pew’s click differentials and Similarweb’s zero-click and traffic series are strong evidence that AI answer surfaces suppress outbound referral for affected query classes. Publisher complaints about “impressions up, clicks down” in Search Console are consistent with that mechanism.

On the other side, impact is uneven. AI Overviews appear more often on longer, question-shaped, informational and commercial-investigation queries than on short navigational queries. Branded search, local packs, Top Stories modules and some news intents behave differently. Google has publicly disputed maximalist claims that AI features are “killing the web,” and some publishers continue to grow absolute traffic through brand strength, video, newsletters and product expansion.

There is also a measurement problem. Public studies mix news publishers, affiliate review sites, SaaS content engines and marketplace blogs. An iGaming affiliate with comparison tables, exclusive offers and CRM capture is not the same underwriting case as a thin “best X under $Y” content farm. Diligence has to be asset-specific. Industry forums and trade publications have reported large CTR declines on commercial keywords for affiliate operators; those reports are useful directional signals, but they are not audited company financials. Treat them as hypotheses to test against the target’s Search Console and revenue cohorts, not as universal multiples.

Acquiry’s working conclusion: AI search is a material, uneven, durable compression of open-web referral economics — not a temporary ranking glitch — and therefore a permanent input to digital asset valuation.

02 Framework

The Traffic Durability Matrix

Buyers need a shared language in the first week of diligence. This is the screen we use before debating multiples.

Figure 1. Original Acquiry diligence framework for SEO, affiliate and content assets under AI search pressure. Source: Acquiry analysis, August 2026.

Premium / defensible still clears competitive processes. Transitional assets need structure that reflects Google risk. Platform / utility can attract strategics even when top-of-funnel SEO is soft. Structurally impaired inventory is for rebuild theses, not trophy multiples.

Valuation implications

There is no single “AI Overview multiple.” There is a widening spread between assets that still look like media businesses and assets that look like leased traffic.

In practice, we are seeing underwriting conversations move as follows:

Trailing earnings get normalised. Buyers build a “search-stressed” case: apply a haircut to Google-originating revenue based on measured CTR and ranking cohort trends, then capitalise the residual. Where Search Console shows impressions rising while clicks and revenue fall on the same keywords, the haircut is hard to argue away.

Quality-of-revenue premiums expand. A content business with 35% of revenue from newsletter-driven commerce and direct sponsorships can still justify a mid-market media multiple. An otherwise similar business with 90% Google-to-affiliate economics cannot. Same vertical, different instrument.

Structure does more work than headline multiple. Earnouts, seller notes and contingent consideration are being used to bridge disagreement about forward Google economics. That is rational when neither side can forecast AI Mode and Overview coverage with precision. Sellers who insist on 100% cash at close against a Google-concentrated P&L often lose the process to more flexible competitors — or accept a lower headline.

Strategic value can diverge from financial value. A consolidator may pay above a standalone DCF for a domain, content corpus, or affiliate relationships that plug into an owned distribution system. That is not a gift to the seller; it is a bet that the buyer can move monetisation. Pure financial sponsors without an operating platform are less willing to make that bet, which is why some processes now skew toward strategics and operator-led roll-ups.

Public SaaS and cybersecurity megadeals — including Google’s completion of its Wiz acquisition in March 2026 — show that AI can also drive aggressive premiums where the asset is capability, not traffic. Do not confuse those comps with SEO affiliate valuations. Wiz is a cloud security platform. A review site ranking for “best VPN” is a distribution-dependent cash-flow strip. Different instruments, different buyers, different risk.

03 Deal room

Buyer considerations

If you are acquiring SEO, affiliate or content assets in 2026, start with distribution forensics before you argue about EBITDA bridges.

Pull 24–36 months of Search Console by query class, not just domain totals. Segment branded vs non-branded, informational vs commercial, and Overview-exposed vs not. Reconstruct revenue by acquisition channel. Require the seller to show how affiliate EPC, RPM and conversion rates moved as CTR changed. Interview the editorial and SEO leads about what they changed after Overview expansion — diversification plans invented in the CIM week are not operating history.

Model three cases: base (current run-rate with observed decay), stress (further CTR compression on commercial keywords), and rebuild (investment required to grow owned audience and non-Google revenue). Your bid should be anchored to a case you can defend to an investment committee, not to the seller’s nostalgia for 2022 RPMs.

Also decide your thesis type early. Are you buying cash flow, buying a rebuild platform, or buying talent and IP? Cash-flow deals need durability. Rebuild deals need a credible 18-month plan and management who will stay. Talent/IP deals should not be priced like durable media.

For buy-side process design, see Acquiry’s acquisitions advisory and sector pages for media and content M&A.

Seller considerations

Founders who wait for “clarity on Google” before preparing an exit often discover that clarity arrives as a lower multiple.

What improves outcomes now is boring and specific. Grow the share of revenue that does not require a cold SERP click: email, membership, direct relationships, tools, lead-gen under contract, co-branded commerce. Document channel economics monthly. Stop presenting “traffic” as the hero metric in the teaser; lead with durability and unit economics. If Google concentration is high, acknowledge it and propose structure — an earnout tied to non-Google revenue growth is often more persuasive than insisting the risk does not exist.

Timing still matters. Buyers remain active for high-quality digital assets, and private capital continues to seek software and online cash-flow businesses. But the bar for “high quality” in SEO-led categories has moved. A clean set of books no longer compensates for a single-threaded acquisition channel.

If you are weighing a process, Acquiry’s sell-side advisory and transaction process overview outline how we prepare materials, buyer lists and diligence defence for digital exits.

Due diligence: what to demand in the data room

Beyond standard legal and financial packs, AI-search-era media diligence should include:

• Search Console exports with query, page, country, device, clicks, impressions and position — ideally monthly for three years.
• A keyword exposure map: which revenue keywords trigger AI Overviews / AI Mode in target geos, sampled and dated.
• Revenue by channel and by content cluster, reconciled to the general ledger.
• Affiliate network statements showing EPC / conversion trends, not only payout totals.
• First-party audience metrics: list size, verified opt-ins, engagement, and revenue per subscriber.
• Content production costs and contractor dependency — AI compression can raise quality bars while shrinking RPM, which squeezes margin from both sides.
• Historical responses to prior Google core updates; pattern recognition matters more than one bad month.

Red flags include unexplained gaps between analytics and affiliate dashboards, sudden “branded traffic” reclassification, and forecasts that assume linear recovery of CTR without product or distribution change.

Where acquisition opportunity still exists

Compression creates inventory. Not all of it is toxic.

Aged domains and authority assets with salvageable brand entities can be attractive if the buyer has a content and distribution engine ready — provided legal title, backlink toxicity and historical spam risk are clean.

Utility-led properties — calculators, databases, compliance tools, account-based research products — sit closer to software economics and can be repositioned as product businesses.

Vertical specialists with regulated or expert content (finance licensing, clinical review, iGaming compliance, industrial procurement) retain citation and trust advantages that generic AI summaries struggle to replace fully.

Portfolio roll-ups that combine several transitional assets under one CRM, one brand architecture and one diversified monetisation stack are the clearest financial-sponsor path, provided the integration thesis is funded and staffed.

What looks less attractive: undifferentiated review networks, parasitic SEO plays dependent on third-party domains, and any asset whose only growth plan is “more content at the same keywords.”

Acquiry’s forward view

We expect AI answer surfaces to remain a structural feature of discovery, not a reversible experiment. That does not end digital media or affiliate M&A. It ends lazy underwriting of Google sessions as if they were contracted recurring revenue.

Over the next 12–24 months, we expect: wider bid-ask spreads on SEO-led assets; more earnout-heavy structures; faster consolidation among operators who already own audiences; and a clearer premium for businesses that look like products or brands rather than ranking tables. Sellers who can prove traffic durability will still find competitive tension. Sellers who cannot should price for a transition partner, not a trophy multiple.

The firms that will do well on both sides of the table are the ones treating AI search as a diligence discipline — measured, evidenced, and priced — rather than as a narrative to fear or ignore.

Sources and references

• Pew Research Center, “Google users are less likely to click on links when an AI summary appears in the results” (22 July 2025): pewresearch.org
• Similarweb, “The Impact of Generative AI on Publishers” / GenAI publisher research (organic traffic and zero-click findings summarised 2025): similarweb.com
• Digiday reporting on Similarweb data, “AI is driving more traffic, but not offsetting ‘zero-click’ search”: digiday.com
• Press Gazette analysis of Similarweb top-publisher zero-click patterns: pressgazette.co.uk
• Google, “Google completes acquisition of Wiz” (11 March 2026): blog.google
• TechCrunch, “Google wraps up $32B acquisition of cloud cybersecurity startup Wiz” (11 March 2026): techcrunch.com

Interpretation, frameworks and transaction guidance in this article are Acquiry analysis. Cited statistics belong to their original publishers. This is not a valuation opinion on any specific company.