What Google Paid Search Costs Right Now

The average CPC on the Google Search Network sat at $4.66 in 2024, up from $4.22 in 2023 and $4.01 in 2022 — roughly a 10% year-over-year increase across most industries. Cost per lead climbed too: the average CPL across all industries reached $70.11, following a 24% jump from 2023 to 2024, according to WordStream/LocaliQ benchmarks.

Those are blended averages. In practice, the spread is wide. Legal and financial services keywords regularly exceed $200 per click. Real estate saw year-over-year CPC jumps of more than 25%. For a competitive B2B SaaS keyword, $15–$40 per click is common. By contrast, lower-competition niches can still find clicks in the $1–$3 range.

PPC Hero reported in July 2025 that 86% of industries saw higher CPCs in 2024 than the year prior — meaning the inflation is broad, not confined to a few verticals. Skai's Q3 2025 Digital Advertising Trends Report placed average CPCs at their highest level in six years.

One number that deserves scrutiny: Google's own Form 10-K reports show just a 2.33% average annual CPC increase from 2019 to 2024, far below the agency-level experience that practitioners report. The divergence exists because Google aggregates globally, including low-competition markets and new advertiser segments that dilute the average. B2B advertisers in competitive verticals should treat Google's published figure as context, not budget guidance.

Why CPCs Keep Rising Despite Falling Click Volumes

The paradox of Google paid search in 2026 is this: clicks are declining, yet advertisers are paying more for each one. Google Search spending grew 9% year-over-year in Q1 2025, while click growth was only 4% — a 5-percentage-point gap that represents more budget chasing fewer opportunities, according to Seer Interactive data reported by Search Engine Land.

Several forces are converging:

• AI Overviews compress click supply. When Google answers a query directly above the fold, fewer users scroll to ads. BrightEdge found that overall search impressions are up nearly 50% year over year, yet paid CTRs are down roughly one-third.
• Zero-click searches are at 58.5%. Nearly six in ten Google searches end without any click at all, a number analysts expect to approach 70% by late 2026.
• More advertisers competing for that remaining click pool. Auction dynamics mean that shrinking supply plus stable or growing demand pushes clearing prices up — regardless of what Google's aggregate numbers say.
• Privacy changes reduce targeting efficiency. The deprecation of third-party cookies and the transition to server-side tagging forces advertisers toward broader audience signals, which lowers per-impression precision and drives up effective CPCs.

For B2B teams, this creates a budget squeeze that spreadsheets often understate. If an account was converting at $70 CPL last year and CPCs are up 10% while CTR is down 15%, the effective CPL is rising faster than either metric alone suggests. Understanding the compound effect matters when defending or planning annual paid search budgets.

For a deeper look at how B2B lead generation costs are shifting across channels, the B2B Lead Generation Cost: 2026 Price Guide is worth reading alongside this data.

How AI Overviews Are Reshaping Paid Search Performance

The arrival of AI Overviews has had an uneven impact on paid search — better for some query types, damaging for others. According to Seer Interactive data published by Search Engine Land in February 2026, paid CTR on queries featuring AI Overviews dropped 68% — falling from 19.7% to 6.34% between June 2024 and September 2025.

That headline number alarmed a lot of advertisers. But the more nuanced picture from the same analysis is worth understanding: AI Overviews appear to pre-qualify users. Someone whose basic question is answered by a generated summary and still clicks through is, by definition, a higher-intent prospect. The same Search Engine Land piece models a scenario where a 45% CPC increase and 30% volume decline produce only a 3.6% increase in cost per acquisition — because conversion rates improve from 5% to 7% among the remaining clickers.

This isn't a universal outcome, but it points to a structural reframing: paid search in 2026 may deliver fewer clicks that are worth more individually. Advertisers who optimize for lead quality rather than click volume may find AI Overviews less destructive than the raw CTR decline suggests.

The agency view is more mixed. José de Carvalho, Head of Paid Search at Gain, told Digiday that U.S. clients had seen a 15–20% decrease in CTR since Overviews launched. Ashley Deibert at VML noted a noticeable shift toward protecting brand terms, with some advertisers increasing brand budgets by up to 20% to maintain visibility when AI-generated answers feature competitor links.

The query types that suffer most are informational and top-of-funnel — exactly the searches where a generated answer fully satisfies intent. High-intent transactional queries ("[software category] pricing", "[vendor] demo", "best [tool] for [specific use case]") show greater resilience because they carry purchase intent that an AI summary alone can't satisfy.

This is directly relevant to the growing case for building organic presence inside AI answers — not as a replacement for paid search, but as a way to own the informational layer that paid search can no longer efficiently reach. The AEO vs SEO: What B2B SaaS Teams Must Know in 2026 guide covers how these channels interact.

Google AI Mode and What It Means for Advertisers

Google AI Mode officially launched in May 2025 and is now available to all U.S. users without a waitlist. It's a conversational, multi-turn search experience powered by Gemini — designed for complex, exploratory queries that a standard keyword search handles poorly. Search Engine Journal's analysis describes it as a post-keyword environment where prompt context matters more than exact match signals.

Google is testing ads inside AI Mode in the U.S., targeting queries that represent what Google calls "deeper, more complex" buying moments — questions like "what's the best B2B data enrichment tool for a 50-person sales team using Salesforce" rather than "B2B data enrichment software." Vidhya Srinivasan, VP & General Manager for Ads at Google, noted at Google Marketing Live 2025 that Google sees over five trillion searches a year and is embedding generative AI across its ads layer, not retreating from it.

The advertiser implication: AI Mode requires broad match or keywordless targeting to function well, which shifts optimization control toward Google's automated systems and away from manual keyword management. For B2B advertisers accustomed to tight keyword control, this is a significant shift in how campaigns need to be structured.

Corey Kahn, SVP & Head of Search at Digitas, told Digiday that conversations have started internally about allocating a portion of paid budgets to platforms like Perplexity's ad inventory — though scalability isn't yet there. The market is exploring AI-native ad formats, not yet committing to them.

For B2B teams thinking about where buyers are actually researching solutions, the AI-Powered Search Engines: The 2026 B2B Visibility Guide maps the landscape across ChatGPT, Perplexity, and Google AIO.

The Answer Equity Problem Paid Search Can't Solve

A Search Engine Land essay from April 2026 introduced a concept that cuts to the core of what's changing: Answer Equity — the value a brand accumulates by being among the sources that AI systems trust enough to cite. The author frames paid search dependency as a structural liability with a direct test: "If you cut PPC spend by 20%, does lead volume drop 20%? If so, you have no foundation — you're renting revenue."

This is the paid search problem that more spend cannot fix. Every dollar in paid search rents a position that disappears the moment the bid stops. It produces no compounding asset. As AI Overviews absorb informational queries and AI Mode redefines transactional intent, the gap between brands that own their answers and brands that rent clicks is widening.

Building Answer Equity means creating content that AI engines cite — structured to answer specific buyer prompts, hosted on the brand's own domain, mapped to the exact queries where the brand is currently invisible. That's distinct from traditional SEO (which targets Google's blue-link index) and from paid search (which rents positions in the auction). It's a third channel with different mechanics and different compounding properties.

Gartner predicted in February 2024 that traditional search engine volume would decline 25% by 2026 due to AI chatbots and virtual agents. Whether or not that exact figure materializes, the directional shift is observable in every paid search account: more spend per click, fewer clicks, flatter or negative pipeline from the same budget. The brands responding by building AI search presence alongside paid are treating this as a portfolio decision, not an either/or.

Chatterbubble monitors real buying queries daily across ChatGPT, Perplexity, and Google AIO — tracking per-prompt visibility across 100+ brands. Where a client is invisible, the platform creates AI-optimized content published directly on the client's domain, not behind a third-party paywall. Unlike tools that show a dashboard pointing at the same visibility gap every week, the gap gets closed with actual content. Every article ties back to a specific buyer prompt, and full attribution — UTM-tagged by source platform — lands in the client's CRM. For B2B teams already managing paid search budgets, that kind of end-to-end AI search coverage addresses the layer paid search structurally cannot reach.

For teams benchmarking alternatives to add AI search presence to their stack, the Generative Engine Optimization: The 2026 B2B Guide covers the strategic framework in detail.

What B2B Advertisers Should Actually Do in 2026

The practical response to rising google paid search costs and shrinking click pools is not to abandon paid search — it's to make it more precise and supplement it with channels that compound.

Protect high-intent transactional keywords. Branded and bottom-funnel terms (pricing, demo, comparison) are the most resilient to AI Overview disruption. Several agencies report that clients are increasing brand budgets by up to 20% specifically to hold these positions as AI-generated answers increasingly feature competitor mentions.

Rethink informational spend. Top-of-funnel keywords that AI Overviews now fully answer are producing diminishing returns in paid search. That budget has a better home in AI-optimized content that actually gets cited in the generated answer — building pipeline at the query level rather than renting a position below it.

Track CPL, not just CPC. A 10% CPC increase combined with a 15% CTR decline can produce a 25%+ CPL increase that a CPC-only view masks. B2B advertisers should monitor cost per qualified lead weekly, not monthly, given the pace of SERP changes.

Build attribution across channels. If paid search drives a click but the buyer first encountered the brand via a ChatGPT answer, standard last-click attribution misreads the actual acquisition path. Proper UTM architecture across AI-sourced and paid-sourced traffic gives a cleaner read on what's actually closing deals. The best B2B lead generation tools for 2026 covers attribution infrastructure worth evaluating.

Test AI Mode campaigns with controlled budgets. The format is early, the inventory is limited, and the optimization signals are different from keyword-based campaigns. Small, instrumented tests now build institutional knowledge before the format scales.