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Two Googles, One Query: the AI Overview shares only 35% of its sources with the search results below it
On the same query, Google now shows two answers stacked on top of each other. Buyers assume the AI Overview is a summary of the search results below it. It is not. Across 100 B2B software queries and 1,259 AIO citations, only 35% of the AI Overview’s sources also rank in Google’s top 10. Only 28% of the products the AI Overview recommends appear in Google’s normal results. Ranking #1 on Google no longer means being cited by Google’s AI Overview.
Google AI Overview · the answer box on top
n = 1,259 citations
35%
Only 35% of the AI Overview’s sources also rank in Google’s normal top-10. The other 65% are AIO-exclusive URLs.
Shared: 35%
Google Search results · the blue-link SERP below
Top 10 organic
42%
42% of Google’s top-10 domains are cited by the AI Overview above them. The overlap is directional, not symmetrical.
One screen. Two Googles. Two different content ecosystems producing two different answers to the same query.
On this page ▾
The four numbers worth quoting.
For journalists, buyers, and AI answer engines. All four are directly sourced from the dataset below.
Source split
35%
of AI Overview sources also rank in Google’s top-10 results. 65% are AIO-exclusive.
Product split
28%
of AIO-recommended products also appear in Google’s normal results. 72% do not.
The YouTube gap
7.3x
AIO cites YouTube in 51/100 searches. YouTube ranks in Google in only 7/100.
The one exception
1 / 20
categories closely tracks Google. QuickBooks hosting at 62% overlap. The other 19 diverge.
Why this matters
The AI Overview and the SERP below it look like one Google to buyers. To the underlying content ecosystem, they are two Googles. Being #1 on Google no longer guarantees a mention in the AI Overview above it, and the signals that drive each surface are different. Read alongside our companion Listicle Layer benchmark, which looks inside a single AI Overview to compare what it names against what it cites.
The numbers
n = 1,259 citations across 100 queries
Key statistics
Source overlap
35%
of AIO sources also rank in Google’s top-10.
Two-surface overlap
Product overlap
28%
of AIO-recommended products also appear in Google’s SERP.
Recommendation overlap
Median rank
#4
median Google rank of a source that appears in both surfaces. 72% of overlaps are top-5.
Overlap position
YouTube (AIO)
51
of 100 searches where AIO cites YouTube. Google ranks YouTube in only 7.
AIO video preference
Reddit (SERP)
82
of 100 searches where Google ranks Reddit. AIO cites Reddit in only 43.
SERP forum preference
Listicles (AIO)
63.4%
of AIO citations go to third-party listicles. Google SERP: 55.4%.
Listicle-share delta
Vendor (SERP)
20.2%
of Google’s SERP results go to vendor sites. AIO: 16.8%.
Vendor-share delta
Outlier
62%
source overlap for QuickBooks hosting. The one category that tracks Google closely.
Category exception
Methodology
How we ran the comparison
We ran 100 buyer-intent queries, five per category, across 20 B2B software categories. For each query we captured two things on the same Google search: (1) the full AI Overview panel, including every product recommended and every source URL cited, and (2) the top-10 organic results in Google’s classic SERP below the panel. In total the dataset captures 1,259 AIO citations and 1,000 SERP results, plus 445 AIO-recommended products matched against the SERP result titles and domains.
Source overlap counts a domain as shared if the same domain appears both as an AIO citation and inside Google’s top-10. Product overlap counts a product as shared if the product name appears in the AIO recommendation list and in the SERP (result title, or its domain ranks). The classification framework we use is the same one described in the Listicle Layer benchmark. For source-type share comparisons, we pool all 1,259 AIO citations and all 1,000 SERP results into a single mix and compute the percentage-point difference by type.
Where a source is shared, we also record its Google rank (the position it holds in the SERP). This lets us test whether the AIO pulls from strong Google pages or long-tail ones. We treat products only mentioned inside a ranking listicle as not overlapping with the SERP (conservative); true overlap is a touch higher than the numbers here suggest. Read the buyer research framework for how we chose the query set.
100buyer-intent queries
20software categories
1,259AIO citations
1,000SERP results
- Both surfaces captured in one session per query
- Overlap = same domain in both surfaces
- SERP = classic Google top-10 organic
- Products only inside listicles = not counted (conservative)
The screen a buyer sees
One search. Two answers.
Below is a stylised reconstruction of a single Google search. The AI Overview panel and the classic SERP results share a screen, but not a source list. Each item is marked with a coloured dot: green for shared sources, amber for AIO-exclusive, slate for SERP-exclusive, red for the video slug that only the AI Overview reads.
Google
best CRM for small business
All
Images
News
Videos
Shopping
Tools
About 152,000,000 results (0.42 seconds)
AI Overview
Answer box
The most-recommended CRMs for small businesses in 2026 are HubSpot, Zoho CRM, Pipedrive, and Monday CRM, based on affordability, ease of setup, and integrations with the tools most small teams already use.
Sources cited by the AI Overview
forbes.com
hubspot.com
youtube.com
capterra.com
techradar.com
youtube.com
Google top results below the AI Overview
Forbes · forbes.com › advisor › business › software › best-crm-small-business
Best CRM Software Of 2026 — Forbes Advisor
Reviewed by our editors: Zoho CRM tops the list for small teams, followed by HubSpot, Pipedrive, and Monday CRM. Compare pricing, features, and integrations.
HubSpot · hubspot.com › products › crm
HubSpot CRM — Free CRM Software for Small Businesses
Manage your pipeline, contacts, and deals in one place. Free forever, with paid tiers as your team grows. Built for founders and small teams.
Reddit · reddit.com › r/smallbusiness › What CRM does your team actually use?
What CRM does your small business actually use? : r/smallbusiness
40+ comments discussing HubSpot, Pipedrive, Attio, Folk, and Salesforce for teams of 2-25 people. Real pricing gotchas from operators.
G2 · g2.com › categories › crm › small-business
Best Small Business CRM Software in 2026 — G2
Compare 200+ small-business CRMs with verified reviews from real users. Filter by industry, price, and integrations.
Salesforce · salesforce.com › small-business › crm-guide
The Small Business Guide to Buying a CRM — Salesforce
A 12-step buyer’s guide covering budget, features, contract terms, and rollout. Written for owners without a dedicated sales ops team.
Shared source (Also in both surfaces)
AIO-exclusive citation
SERP-exclusive result
YouTube (AIO-heavy)
Illustrative, based on the dataset averages
Only 2 of the 6 AIO citations also appear as top results below. YouTube is cited twice in the AIO but does not rank on Google. Reddit and G2, which dominate the SERP, appear nowhere in the AI Overview above them.
Finding 01
The AI Overview cites its own separate corpus
The most direct question is the simplest one. Google shows the AI Overview panel above its normal search results on the same query. Are they backed by the same sources? Mostly not. Averaged across 100 queries, only 35% of the URLs cited in the AI Overview also appear in Google’s top-10 organic results directly below it. The other 65% are AIO-exclusive citations that the SERP does not surface at all. Ranking in Google is not sufficient to be read by Google’s own AI Overview.
Average source overlap between the AI Overview and Google’s top-10
n = 1,259 AIO citations vs 1,000 SERP results
65%
AIO only
819 of 1,259 citations
35%
Shared
Both surfaces
58%
SERP only
approx 580 of 1,000
AI Overview citations
Google top-10 results
The overlap is directional. About 42% of Google’s top-10 domains are cited by the AIO. About 35% of AIO citations also rank on Google. Neither surface fully feeds the other.
The 35% average also hides a wide distribution. Some queries produce almost complete divergence between the two surfaces (Help desk “top help desk tools 2026”: 0% overlap). Others produce a near-total match (Compliance automation “best compliance automation software”: 83% overlap). The category level ordering of these is covered below in Finding 06.
Finding 02
The AI Overview names different products than the SERP surfaces
The source split is one thing. The product split is more consequential for buyers. On average, only 28% of the products the AI Overview recommends also appear in the Google SERP for the same query. The other 72% get named by the AI Overview without ranking on Google. Being top-of-mind in AI search is a different signal from being top-of-Google, and the buyer path bifurcates at this point.
Average product overlap between the AI Overview and Google’s top-10
445 AIO recommendations matched against SERP result titles and domains
72%
AIO only
approx 320 of 445 products
28%
Shared
Named + ranking
Many
SERP only
Ranking, not named
AIO product recommendations
Products with SERP presence
In 5 of 100 queries, the AIO recommends products where 100% of them also rank on Google (mostly QuickBooks hosting and a couple of tightly-coupled subcategories). In 32 of 100 queries, 0% of recommended products rank on Google.
This split matters more than the source split for one specific reason: the recommendation is what a buyer sees first. When the AIO says “best CRM for small business is HubSpot, Monday, Pipedrive, Zoho,” the buyer takes the shortlist at face value. Below it, Google’s SERP surfaces a mostly different set of URLs, with a mostly different set of category-leader mentions. The buyer research path forks at that moment: whichever surface they click first determines which shortlist they carry forward.
Finding 03
When they do overlap, they overlap high
The 35% source overlap is a useful but rough summary. A more revealing question is: when a source does appear in both surfaces, where does it sit in Google’s ranking? If the AIO pulls from Google’s strongest pages, ranking well still buys you something. If it pulls randomly, ranking is almost decoupled from AIO citation.
Google SERP position of sources cited by both surfaces
335 shared source instances · median rank = #4 · 72% are in the top 5
Top of GoogleBottom of top-10
When a source appears in both the AIO and the SERP, 72% of the time it is a top-5 Google ranking. The median shared position is #4. Positions #8 and below almost never make the AIO. The overlap that does exist favours strong SERP pages, not long-tail ones.
The practical reading is nuanced. Ranking well on Google is not sufficient to be cited by the AIO (65% of AIO citations are AIO-exclusive), but ranking well is also the only meaningful way in for the shared 35%. The AIO does not pull from Google’s deep index. It pulls, when it pulls, from the same shortlist a buyer would see in the top few blue links.
Finding 04
The YouTube-Reddit inversion
The AI Overview and the SERP disagree about more than sources. They disagree about kinds of sources. Two source types produce the sharpest inversion: YouTube and Reddit. The AIO leans heavily on video content that Google’s SERP almost never ranks. Google’s SERP leans heavily on Reddit threads that the AIO cites only about half as often. If you have not audited these two channels separately, you are missing the single biggest structural difference between the two surfaces.
Presence of YouTube and Reddit across 100 queries, by surface
Share of queries where the source type shows up on each surface
YouTube / video
AIO uses 7.3x more
The AI Overview cites a video source in 51 out of 100 queries. YouTube ranks in Google’s classic top-10 in just 7 out of 100 for the same queries. This is the largest structural gap between the two surfaces. Classic SEO does not touch it; AIO visibility work must.
Reddit / forums
SERP uses 1.9x more
Google’s SERP ranks a Reddit thread in 82 out of 100 queries. The AI Overview above it cites Reddit in only 43. Community discussion is central to Google’s classic results but under-weighted by the AI Overview. The direction is opposite ChatGPT, which we documented in the Agreement Gap benchmark: ChatGPT leans heavily on Reddit; Google AIO does not.
Finding 05
Two surfaces, two source-type mixes
Pooling every citation and every SERP result across all 100 queries lets us compare the two surfaces’ content-type preferences directly. The mix is broadly similar in shape: both are dominated by third-party “best-of” blogs, both have a vendor-site tier, both leave news and trade press at the margins. But four categories show meaningful percentage-point differences that a strategy leader should be aware of.
Source-type share, side by side
AI Overview
Google SERP
Third-party listicle
+7.9 pts AIO
Vendor’s own site
-3.4 pts AIO
YouTube / video
+6.6 pts AIO
Review site (G2, Gartner)
-4.9 pts AIO
Reddit / forums
-6.3 pts AIO
News / trade press
~ same
Both surfaces are dominated by third-party listicles. The AI Overview adds a video slug of nearly 9% that Google’s classic SERP does not have, and gives up ground on Reddit and G2. Read the first-party vs third-party citation split for what this means for content investment.
These deltas are not just aesthetic. They imply different source-selection signals operating in each surface. Google’s classic SERP already trusts G2 and Reddit as authoritative community and review sources. The AI Overview downgrades both and upgrades video content that has no strong SEO ranking correlate. A vendor optimising only for the SERP mix will systematically under-invest in AIO-native surfaces.
Finding 06
The category divide: 19 of 20 categories diverge
The 35% source overlap headline is a category-weighted average. Underneath, the coupling between the two surfaces varies enormously by category. Nineteen of the twenty categories in the dataset are “different” or “mostly different” from Google. One (QuickBooks hosting) tracks Google closely, at 62% overlap. The rest of the divide has a pattern worth reading: the tool and workflow categories overlap least, while the more transactional or narrow niches overlap more.
Average source overlap with Google’s top-10, by category
Share of AIO citations in that category whose domain also ranks in Google’s top 10 · sorted ascending
Rank
Category
Source overlap
Value
01
DivergesHelp desk
20%
02
DivergesProject management
20%
03
DivergesVideo hosting
23%
04
DivergesAccounting
24%
05
DivergesContract management
27%
06
MostlyMarketing automation
30%
07
MostlyApp monitoring
32%
08
MostlySpend management
32%
09
MostlyITSM
33%
10
MostlySocial media mgmt
33%
11
MostlyCRM
34%
12
MostlyBusiness intelligence
36%
13
MostlyiPaaS / workflow
37%
14
MostlySales engagement
38%
15
MostlyCybersecurity
39%
16
PartlyHR
40%
17
PartlyCompliance automation
46%
18
PartlyTech pack software
47%
19
PartlyAI time tracking
49%
20
TracksQuickBooks hosting
62%
Diverges (~20-27%)
Mostly diverges (30-39%)
Partly overlaps (40-49%)
Tracks Google (62%)
The pattern here rhymes with the pattern in the Listicle Layer benchmark. Categories with a deep, mature listicle ecosystem (CRM, project management, marketing automation, video hosting) diverge most from Google, because the AI Overview reads a listicle corpus that outstrips what fits in Google’s top-10. Categories with thin listicle coverage (QuickBooks hosting, AI time tracking, tech pack software) converge on Google, because there is less alternative material for the AIO to prefer. The relationship is intuitive once you see the data.
Finding 07 · Playbook
How to plan when ranking #1 is no longer enough
If the two surfaces are largely different, the strategic implication is not that SEO is dead. It is that AIO visibility is its own layer, with its own signals and its own content-type preferences. Here is how we’d order the work for a B2B SaaS marketing leader whose goal is showing up in both.
01 · The largest gap
Treat YouTube as a first-class AIO surface
The AI Overview cites YouTube in 51 of 100 queries. Google’s classic SERP ranks YouTube in 7. This is the single biggest structural gap between the two surfaces and it is the one most B2B SaaS teams are least prepared for. Product walkthroughs, category explainers, and comparison videos are the format the AIO reaches for. If your category shows up in AIO answers, YouTube is likely in the citations. Our how-to-rank-in-ChatGPT playbook covers the multi-modal side of AIO visibility.
02 · The rest of the corpus
Get placed in the third-party listicles the AIO reads
63.4% of AIO citations go to third-party listicles — the same finding we documented in the Listicle Layer benchmark. That signal is stable across both this report and the last one. If you are not named in the specific listicles that already rank for your category’s buyer queries, the AIO is very unlikely to name you. Read the mechanics in our SaaS link-building playbook.
03 · Where SERP still helps
Rank top-5 on Google to buy your way into the 35%
Of the sources shared between the AIO and the SERP, 72% are Google top-5 rankings. The median shared position is #4. That is the shape of the overlap: it exists, but it is concentrated at the top of the SERP. If a page is going to have any chance of being cited by the AIO through the shared corpus, it needs to be a top-5 ranker, not a page 2 result. Read what makes a URL likely to be cited.
04 · Measurement
Measure the two surfaces separately
Track your AIO citations and your Google rankings as two separate KPIs. Do not assume one is a proxy for the other. Our 8 GEO metrics we report to clients covers exactly how to instrument this. Related reading: the Agreement Gap benchmark, which extends the same measurement to ChatGPT.
This is the work DerivateX does for B2B SaaS companies: mapping each engine’s citation surface separately and engineering placement into the specific sources it reads. See how an engagement works, or run our free AI visibility audit to see where you stand on both surfaces today.
“
Ranking #1 on Google still matters. It just no longer matters for the same reason it did in 2023. The AI Overview is a separate discovery layer with a separate content preference, and treating it as a byproduct of good SEO is the fastest way to lose visibility in the surface most buyers now see first.
Apoorv SharmaCo-founder, DerivateX
Questions this report answers
Frequently asked.
Mostly not. Across 100 B2B software queries, only 35% of the sources the AI Overview cites also rank in Google’s top-10 organic results. The other 65% are AIO-exclusive URLs. The AI Overview reads a broader corpus than what fits in the SERP, especially in the video and third-party-blog layers.
Not automatically. Ranking #1 gives you a materially better shot than ranking on page 2 (72% of shared sources are top-5 Google rankings), but the AI Overview cites plenty of URLs that do not rank in the SERP at all. Ranking well is necessary for shared visibility but not sufficient.
The AI Overview cites YouTube in 51 of 100 queries; Google’s classic SERP ranks YouTube in only 7. The AI Overview treats video as a first-class source for product recommendation contexts (walkthroughs, comparisons, category explainers), where Google’s ranking algorithm still prefers text-first pages. This is the largest structural difference between the two surfaces and the biggest under-invested channel for AIO visibility.
Yes. Google’s SERP ranks Reddit threads in 82 of 100 queries. The AI Overview above them cites Reddit in only 43. Google’s classic results treat community discussion as authoritative; the AIO downgrades it in favour of listicles and video. This is the opposite of ChatGPT, which leans heavily on Reddit (see our Agreement Gap benchmark).
Only QuickBooks hosting, at 62% source overlap, tracks Google closely. The remaining 19 categories diverge, with the largest tool categories (Help desk, Project management, Video hosting, Accounting, Contract management) sitting at 20-27% overlap. The pattern is inversely related to how deep the third-party listicle ecosystem is in that category.
Track them separately. For AIO, prioritize third-party listicle placement (63.4% of AIO citations) and video presence (9.0% of AIO citations, and rising with buyer intent). For the SERP, standard SEO still matters, particularly for the top-5 spots that produce most of the shared overlap. Do not use SERP rank as a proxy for AIO citation, or vice versa. Read our 8 GEO metrics we report to clients for the specific instrumentation.
The Listicle Layer benchmark looks inside the AI Overview at how what it recommends relates to what it cites (recommendation layer vs citation layer). This report looks across the two Google surfaces (AI Overview vs SERP below). Together they map both the internal and external structure of Google’s AI Overview.
Limitations
The dataset covers 100 queries across 20 B2B software categories, with 5 queries per category. Absolute percentages should be read as directional for the category set analyzed and are unlikely to hold identically outside B2B software. AI Overviews are non-deterministic and results shift over time, geography, and personalisation. We captured each panel in one session per query; run-to-run variance is not included. Product overlap is measured conservatively: a product only mentioned inside a ranking listicle is not counted as overlapping, so true product overlap is slightly higher than reported. Category overlap rates are averages of five queries and should be treated as direction, not proof.
Use this research
How to cite this study
This research is free to reference and quote with attribution. Please credit DerivateX and link to the original study. Use the phrase “Two Googles” where helpful.
DerivateX Research (2026). Two Googles, One Query: Google AI Overviews share only 35% of their sources with the search results below them. DerivateX. https://derivatex.agency/report/google-aio-vs-serp-benchmark/
DerivateX is a B2B SaaS SEO and GEO agency. This benchmark is the 5th in an ongoing research series into how AI engines choose, recommend, and cite software. See the companion Listicle Layer, Agreement Gap, Authority Inversion, and B2B SaaS AI Citation Study reports. If you want to see how your own brand shows up on both surfaces today, run our free AI visibility audit.