# AEO vs Paid Search: Should a SaaS Company Move Budget to AI Search When CPCs Keep Rising?

> Rising CPCs and buyers asking AI first: how much paid search budget to move to AEO, which campaigns to take it from, and how to measure both side by side.

URL: https://onlyaeo.com/blog/aeo-vs-paid-search-budget · Published: 2026-10-23 · Author: Tejas Patil

- **Move a slice of the budget:** fund AEO from your weakest non-brand terms and keep the rest of paid search running.
- **The squeeze is on non-brand terms:** brand clicks stay cheap; the cost that keeps climbing sits on generic category searches.
- **AEO is slower and harder to attribute:** it takes longer to show and much of its effect never produces a click, but it reaches buyers who ask AI before they search.
- **Judge it on pipeline:** compare both channels on opportunities and revenue over a full sales cycle.
- **Keep brand and high-intent ads:** those are the clicks most likely to become pipeline.

## Should you move budget from paid search to AEO?

Move a slice, not the whole budget: keep paying for brand and high-intent searches, and fund AEO from the non-brand terms whose cost per lead has risen fastest. That holds for most SaaS companies watching CPCs climb.

All-or-nothing fails in both directions. [Google's AI optimization guide](https://developers.google.com/search/docs/fundamentals/ai-optimization-guide) says that, from Google Search's perspective, optimizing for generative AI search is optimizing for the search experience, and thus still SEO. AEO builds on search.

[HubSpot's AEO trends report](https://blog.hubspot.com/marketing/answer-engine-optimization-trends) is as direct in the other direction: traditional search remains important, and teams should not abandon it in favour of AEO. Buyers who type into Google still need to find you there.

The size of the slice depends on how fast your non-brand costs are rising, how long AEO takes to show, how you will measure it, and whether you can do the work at all.

If you are still sorting out how AEO relates to organic search, start with [AEO vs SEO](https://onlyaeo.com/blog/aeo-vs-seo-when-buyers-research-with-ai).

## What is really happening to paid search costs?

The increase sits on non-brand search, the generic category terms, while brand search stays comparatively cheap.

Two recent datasets show it from different angles. [Kampaio's 2026 benchmark roundup](https://www.kampaio.com/blog/b2b-saas-google-ads-benchmarks-2026) reports Dreamdata's figures. [PipeRocket's research](https://piperocket.digital/research/google-ads-benchmarks/) draws on the accounts it manages. They cover different periods, accounts and definitions, so treat them as two separate readings.

| | Dreamdata, via Kampaio (Aug 2024 to Jul 2025) | PipeRocket, managed SaaS accounts (Jul 2025 to Jun 2026) |
|---|---|---|
| CPC | Non-brand rose from $4.13 to $5.34, up 29% | Non-brand averaged $13.75; account-wide CPC was flat, down 1% year over year |
| CTR | Non-brand fell from 5.47% to 4.04%, down 26% | Non-brand averaged 3.60% and fell 30% year over year |
| Cost per lead | Not reported; non-brand search fell from 38.10% to 32.83% of B2B marketing budgets | Non-brand about $207, up 16% year over year; blended down 36% while conversion rates rose about 48% |
| Sample | B2B accounts in Dreamdata's data; Kampaio does not state the count | Managed B2B SaaS accounts |

The budget case rests on the gap between brand and non-brand. In PipeRocket's data, a brand search lead cost $34, so a non-brand lead cost roughly 6x as much.

Kampaio puts brand clicks at typically $0.50 to $2.00 and says they convert at 3 to 5x the rate of non-branded terms.

The squeeze reaches beyond SaaS. Optmyzr's Q1 2026 benchmark found cost per acquisition up 4.41% year over year, with impressions down roughly 11%.

Treat every figure here as directional. As Marqeable points out, Google publishes no official B2B CPC or cost-per-lead benchmarks, so these numbers come from agencies' own account data, which carries survivor bias.

## Why do fewer searches end in a click?

Google answers more questions on the results page, and buyers increasingly ask AI assistants instead. Both shrink the pool of clicks that non-brand ads and organic listings compete for.

SparkToro's 2026 study found 68.01% of US Google searches ended without a click in early 2026, up from 60.45% in 2024. In the same study, only 276 of every 1,000 US searches reached the open web, against 374 in 2024.

AI Overviews hit ads unevenly. Involve Digital's 2026 research, as reported by Kampaio, found AI Overviews cut paid CTR by 68% on informational queries, while high-intent transactional queries held.

Google adds caveats of its own. AI Overviews often don't trigger, because they appear only when its systems judge them additive.

Google also says clicks from results pages with AI Overviews are higher quality, meaning people spend more time on the site.

The ad money is moving too. eMarketer, as reported by PipeRocket, expects Google's share of US search ad spending to fall to 48.5% in 2026, the first time in more than 20 years it drops below half.

## How do buyers find software through AI answers instead?

They ask a long question, the assistant runs its own searches, and it answers with a shortlist and its sources. The buyer may never see a results page or an ad.

ChatGPT decides for itself when to look things up: according to [OpenAI's help page on ChatGPT search](https://help.openai.com/en/articles/9237897-searching-the-web-with-chatgpt), it may search on its own whenever current information would improve the answer.

When it does, it typically rewrites the question into targeted search queries, and answers built on that search can include citations that open the source page.

Those questions are long. HubSpot, citing The Growth Memo's 2025 report, puts the average US search query at 3.37 words and the average ChatGPT prompt at 23 words.

A prompt that long carries the buyer's company size, stack and constraints, context a keyword bid never sees.

Google's AI features work in a similar way. Its [AI features documentation](https://developers.google.com/search/docs/appearance/ai-features) says AI Overviews and AI Mode may use query fan-out, running related searches across subtopics and showing a wider set of links than a classic search; the model generates those related queries concurrently.

Fan-out rewards breadth over a single head term. A Surfer study, reported by MADX, found pages ranking across several fanned-out sub-queries were 161% more likely to be cited in AI Overviews than pages ranking only for the head term.

There is a catch for measurement. Virayo notes that many buyers who discover a brand in an AI answer never click the citation; they search the brand name, use a bookmark or tell a colleague. Whatever visit follows arrives through another channel.

## How we tested this question

On 23 October 2026 we asked ChatGPT and Claude this page's main question with web search available, as part of OnlyAEO's engine check before writing.

Claude searched the web and cited Google Ads benchmark pages and AEO guides. ChatGPT answered from what it already knew, without searching. Neither named OnlyAEO.

For a budget question like this, being cited depends on the pages AI reads when it does search, and on what the models already know when they don't.

## How do AEO and paid search compare as investments?

They differ on timing, durability and measurement far more than on cost per click.

| | Paid search | AEO |
|---|---|---|
| How you pay | Per click, at auction prices that move with competition | A fixed program: answer-first pages, crawler access and mentions on sites AI reads |
| Time to pay off | Traffic arrives the day a campaign goes live, but revenue lags: Kampaio puts the average B2B SaaS close at 84 days after the first click | Early signals typically in 2 to 6 weeks, per HubSpot; first measurable results usually take at least 60 days for OnlyAEO clients; off-site presence typically takes 3 to 6 months to compound, per Virayo |
| What happens when you stop | Clicks stop with the budget | Published pages and earned mentions stay readable to AI engines, though answers keep changing |
| How it is measured | Click and conversion tracking; on 42 Agency's account data, via Kampaio, non-branded B2B SaaS search shows about 78% first-touch ROAS but 553% when attributed to pipeline | Visibility in AI answers, AI referrals and what buyers say about how they found you; much of it leaves no click |

The conversion evidence for AEO is encouraging but thin. HubSpot reports that, at HubSpot itself, lead conversion from AEO was 3x higher than from other sources. It comes from one company with a very large content library.

Similarweb, cited in HubSpot's report, found AI referral traffic converting at 11.4% in ecommerce, more than double the 5.3% from organic search. It is ecommerce data; none of our sources gives a comparable figure for B2B SaaS demos.

In an example Nextiny drew from HubSpot portals, organic search brought 4,000 visits, 42 leads and 1 client, while AI referrals brought 90 visits, 2 leads and also 1 client in the same period.

Per visit, AI looked far better; as a channel, it was still small.

## How much budget should move, and from which campaigns?

Enough to fund AEO work on a defined set of buyer questions, sized from your own account data. The steps below pick the terms to take it from.

For scale, Gartner's 2026 CMO Spend Survey puts the average marketing budget at 7.8% of company revenue, with 15.3% of that already allocated to AI.

Kampaio puts typical B2B SaaS Google Ads budgets at $5K to $15K a month for SMB-focused products, $15K to $50K for mid-market and $50K+ for enterprise.

1. **Rank non-brand terms by pipeline.** Pull cost per lead and pipeline for each term group over a window longer than your sales cycle. Use pipeline: the comparison table shows how badly first-touch ROAS can understate search.
2. **Protect brand and high-intent terms.** Keep the cheap, high-converting brand terms and the transactional queries that held up against AI Overviews, both covered above.
3. **Find the question behind each weak term.** For every expensive generic term, write down the buyer question it stands for, in the words someone would type into ChatGPT: the comparison, the use case, the objection.
4. **Fund AEO on those questions as a fixed slice.** Pause or trim the weakest term groups and move that amount into the AEO program from the comparison table, aimed at the mapped questions. Keep it fixed so the result is readable.
5. **Set the review date about a quarter out.** Place it after the first measurable window in the comparison table, then decide whether to widen, hold or reverse the shift.

If finance wants an expected return before approving the slice, see how to [forecast AEO ROI before you spend](https://onlyaeo.com/blog/forecast-aeo-roi-before-you-spend).

## How do you measure AEO next to paid search?

Measure both on pipeline over the same window, and decide up front how you will count the AI influence that leaves no click.

- **Know where the credit goes:** LSEO explains that GA4 cannot reconstruct an AI exposure that produced no click, and [Nextiny](https://blog.nextinymarketing.com/measure-answer-engine-optimization-roi-hubspot-aeo) notes that when ChatGPT recommends a company and the buyer later Googles the brand name, Google may get the credit. Some conversions on your brand ads may be AI demand.
- **Define sourced and influenced first:** LSEO recommends writing down "AI-sourced pipeline" (an identifiable AI acquisition source) and "AI-influenced pipeline" (an AI touchpoint before the opportunity, or self-reported AI discovery) before reporting either.
- **Don't call influence revenue:** in LSEO's example, $2 million of pipeline with some evidence of AI influence is not a $2 million return.
- **Treat branded search as a hint:** LSEO calls a rise in branded search alongside stronger AI visibility a correlation, because ads, PR, launches, events and seasonality also lift brand demand.
- **Combine signals and ask buyers:** Nextiny recommends combining AI referrals, branded search, direct traffic, sales feedback, self-reported attribution, closed-deal interviews and CRM data, and asking buyers whether they used ChatGPT, Gemini, Perplexity or another AI tool while researching.
- **Use Google's own reporting:** Search Console has a Generative AI performance report for content in Google's AI features, and LSEO reports its worldwide rollout finished in August 2026. Elsewhere in Search Console, AI Overviews and AI Mode traffic sits inside the Web totals.
- **Set the rhythm:** Nextiny suggests reviewing AI visibility, citations and share of voice as monthly trends, and pipeline and revenue quarterly.

Our guide to [tying AI referral traffic to pipeline](https://onlyaeo.com/blog/track-ai-referral-traffic-ga4-pipeline) walks through the GA4 side. For the deals no tool can see, a [self-reported attribution survey](https://onlyaeo.com/blog/capture-ai-sourced-deals-self-reported-attribution-survey) fills the gap.

## When should you keep the budget in paid search?

Keep it when any of the cases below applies. Moving money into a channel you cannot execute weakens both.

- **Payback still fits:** if a non-brand term group earns back its cost inside your payback target, there is no case to cut it. Kampaio puts the 2026 median CAC payback for private SaaS at 23 months, and cites Involve Digital for a 3:1 LTV:CAC ratio as the SaaS industry standard.
- **Nobody can answer the questions:** AEO needs pages written with subject expertise on buyer questions. Google says unique, compelling content will likely influence presence in generative AI search more than anything else in its guide, and without experts on staff that content does not get written.
- **The site is not eligible yet:** Google's AI features need pages that are indexed and eligible to show with a snippet, with the site included in those features in Search Console. ChatGPT search needs a site to allow OAI-SearchBot and OpenAI's published searchbot IP addresses.
- **Someone is selling a shortcut:** a vendor promising to move AI answers fast is a reason to keep the money where it is. Google is blunt that no outside tool can see inside its ranking or AI systems, and it warns against any that promise ranking success. Churning out a page for every query variation to sway AI answers breaks its scaled content abuse policy.
- **You want proof before you move money:** run a scoped test first, as described in [the AEO pilot guide](https://onlyaeo.com/blog/the-aeo-pilot-30-day-test), and leave paid search untouched until it reads out.

## Where does OnlyAEO fit?

OnlyAEO is the AEO platform that tracks where ChatGPT, Claude and Gemini name your brand and creates the content to change it. Our team can also run it for you.

Before writing on any buyer question, we run the engine check described above. For a budget shift, the useful part of the [platform](https://onlyaeo.com/platform) is that it separates an AI recommendation of your brand from a passing mention or a source link, so you can see whether the questions you funded start naming you as an option.

The platform's LLM Attribution recognises 170+ AI crawlers and captures AI-referred visits that GA4 misses.

For a team shifting budget out of paid search, that gives a record of where you stand on the mapped questions before the slice moves, and the same questions re-run before the review date.

If our team runs it for you, nothing goes live until someone on your side has signed it off. We do not offer a results guarantee or promise specific citations.

## More questions about AEO and paid search

### Does Performance Max make paid search cheap enough to skip AEO?

Not on its headline numbers alone. PipeRocket found B2B SaaS Performance Max averaging a $0.75 CPC and $25 per lead against $11.02 and $143 for Search, but Performance Max blends in softer conversions, so compare it on pipeline first.

### Is LinkedIn a better place for the budget than Google Search?

For some B2B accounts it has been. Dreamdata's 2026 LinkedIn Ads report, as cited by PipeRocket, found LinkedIn delivered 121% ROAS in 2025 for the B2B accounts it tracked, against 67% for Google Search and 51% for Meta. That compares ad channels only; it says nothing about AEO.

### Are paid search leads more expensive for technical SaaS?

Much more expensive. PipeRocket found dev tools and security SaaS leads averaging $855, about 6.8x the $126 for GTM and martech SaaS.

### Does ranking in Google's top results help get cited in AI Overviews?

Usually, yes. Nextiny reports that HubSpot Academy's AEO Certification, citing Ahrefs, says 76% of AI Overview citations come from pages ranking in Google's top 10 organic results.

### Do I need llms.txt or special schema for AI search?

Not for Google. Google's AI optimization guide says Google Search ignores llms.txt and other special AI markup, and that no special schema.org markup is needed for its generative AI features, though structured data still helps with rich results.

### How is share of voice in AI answers calculated?

Divide your brand's mentions by all brand mentions across the prompts you track. In HubSpot's example, 25 of 100 total mentions is a 25% share of voice.