22/2/2026
SEA vs SEO Click-Through Rate: How to Analyse CTR and Make Sound Decisions
If you want to compare click-through rates between SEA and SEO without being misled by averages, this article takes a method-first approach, focusing on data and common analytical biases. For the wider context (definitions, benefits and investment logic), refer to our guide on SEO vs SEA. Here, we zoom in on CTR and how to interpret it in 2026, including the impact of AI Overviews and zero-click behaviour.
How This Article Complements the "SEO vs SEA" Guide Without Repeating the Basics
Comparing organic and paid CTR has become more complex, because the SERP is no longer simply "10 blue links". Between rich results, video (50% of SERPs contain a visual or video element according to La Réclame, 2026) and AI-generated answers, visibility is distributed differently — sometimes without a click. The aim here is not to re-teach fundamentals, but to provide:
- a practical, operational definition of CTR (and its scope) to avoid misinterpretation;
- reliable numeric benchmarks (SEO and SEA), with clear limitations;
- a repeatable method to compare CTR without bias (brand, intent, device, cannibalisation);
- a GEO perspective: what to measure when visibility no longer automatically translates into clicks.
An Operational Definition of Click-Through Rate (CTR): Formula, Scope and Analysis Pitfalls
CTR is typically calculated as: CTR = clicks ÷ impressions × 100. In practice, the challenge is rarely the formula itself — it is the scope, particularly across three areas:
- What you count as an "impression": in SEO, Search Console logs impressions based on SERP visibility (with specific rules). In SEA, impressions depend on bids, Quality Score, competition and serving constraints.
- The "SERP mix": the same organic position can produce very different CTRs if an AI Overview, a video carousel or sitelinks dominate the screen.
- The quality of the click: a rising CTR is not automatically a business win. Overly clickbait-style messaging can attract unqualified traffic and damage engagement, conversion and pipeline.
Another frequent mistake is comparing unsegmented CTRs (all queries, all devices, brand and non-brand combined) and then declaring one channel "better". Two sets of impressions rarely describe the same user intent, even when the CTR figure looks identical.
What Really Influences CTR in SEO and SEA on the SERP
Position, Intent and Competition: The Three Variables Behind Most CTR Gaps
Three factors explain the vast majority of CTR variation:
- Position: in SEO, Backlinko (2026) reports average CTRs of 27.6% in position 1, 15.8% in position 2 and 11.0% in position 3 (then roughly 3–5% for positions 6 to 10). SEO.com (2026) reports 34% for position 1 on desktop. The key point: a "good CTR" is primarily a function of where you actually appear.
- Intent: for transactional queries (quote, price, demo), paid ads often capture disproportionate attention because the user wants to act quickly. For informational queries, organic results (and certain rich formats) often capture more — until the SERP answers the question directly.
- Competition: in SEA, 63% of sectors are considered "saturated" (Odiens, 2025). The more advertisers compete (La Réclame, 2026 reports +23% active advertisers on Google Ads), the smaller the available click share per ad, all else being equal.
The Impact of SERP Features: Ads, AI Overviews, Rich Results and Zero-Click
In 2025, 60% of searches led to no click (Semrush, 2025), which mechanically puts downward pressure on CTR — in both SEO and SEA. On the subject of AI in the SERP:
- Squid Impact (2025) states that over 50% of Google searches now show an AI Overview.
- For queries that trigger these overviews, Semrush (2025) observed that 95% contain no advertising, meaning SEA cannot capture a portion of those impressions.
- Squid Impact (2025) provides a striking benchmark: 2.6% CTR in position 1 when an AI Overview is present.
The implication is significant: a drop in CTR does not automatically mean marketing performance has declined. It may reflect a shift in where value is created — more visibility without a click, or fewer but higher-quality clicks (Semrush, 2025 notes 4.4x higher engagement for traffic coming from AI, and an average +1.08% CTR uplift when content is cited as a source in an AI Overview).
Brand vs Non-Brand: Why Results Are Not Comparable Without Segmentation
Brand queries frequently distort comparisons. If you already rank first organically for your brand name, running ads may create cannibalisation — paying for clicks you would have earned for free — particularly when there is little or no brand bidding competition. Conversely, if competitors bid on your brand, a defensive strategy can protect click share and conversions. Comparing SEO and SEA CTR only makes sense if you separate, at minimum:
- brand vs non-brand;
- informational vs transactional queries;
- genuinely comparable landing pages.
Mobile vs Desktop: Screen Size, Scrolling and Layout Effects on Clicks
CTR varies considerably by device because the visible real estate changes. Mobile accounts for 60% of global web traffic (Webnyxt, 2026) and 58% of Google searches are reportedly conducted on smartphones (SEO.com, 2026). On smaller screens, AI Overviews, video and local packs often push organic results and ads further down the page, reducing CTR for certain positions — even when the relevance of the content or ad has not changed.
Benchmarks and Hard Data: Where to Find Reliable Reference Points
How to Read Averages Without Getting It Wrong: Sector, Query Type and Account Maturity
Benchmarks are useful for spotting signals (underperformance, opportunity), not for making definitive judgements. Two concrete examples:
- In SEA, WordStream (2025) reports an average CTR of 3.17% for Google Ads Search (all industries). This is a broad marker, but it conceals major variation by intent, brand, ad quality and sector.
- In SEO, Backlinko (2026) and SEO.com (2026) publish CTR by position (27.6% for position 1 on average, or 34% for position 1 on desktop, depending on methodology). These figures do not apply uniformly when the SERP is feature-heavy (AI Overviews, carousels, etc.).
Before comparing, ask yourself: "Does my SERP resemble the SERPs in the study?" If not, treat the average as a starting point only.
SEO Reference Points: Using Organic CTR Data Without Over-Interpreting
For SEO, the most robust benchmarks are generally position-based. Backlinko (2026) provides an average distribution from positions 1 to 10, and SEO.com (2026) also notes that the top three results capture 75% of clicks. However, these benchmarks must be revisited in the context of zero-click searches (Semrush, 2025: 60% without a click) and AI Overviews (Squid Impact, 2025: over 50% of searches show an AI Overview).
When to Use SEO Statistics and How to Connect Them to Your Search Console Data
Use SEO statistics when you want to:
- spot an anomaly (low CTR at a comparable position);
- prioritise snippet optimisation (title and meta description) for queries with high impression volume;
- estimate the potential uplift from moving up positions.
Then systematically connect those benchmarks to Search Console by segmenting on: query, page, country, device, and (where available) "Search appearance". For broader up-to-date reference points, you can also consult our SEO statistics (use them as reference points, not universal targets).
SEA Reference Points: Understanding Advertising Benchmarks and Their Limits
In SEA, benchmarks are useful for an initial health check, but they are highly sensitive to delivery context. A few reference points from WordStream (2025):
- Average Search CTR: 3.17%
- Average Display CTR: 0.46%
- Average Search CPC: $2.69
- Average Search conversion rate: 3.75% (2.41% in B2B)
As a further caution, Odiens (2025) estimates click fraud at 11.7% in SEA, which is a strong reason to interpret CTR carefully if post-click signals (engagement, conversions) do not follow.
When to Use SEA Statistics and How to Cross-Check Against Your Campaigns
Use SEA statistics when you want to:
- quickly assess whether an account is broadly "in range" (before deeper analysis by intent and audience);
- identify a structural issue (irrelevant ads, overly broad targeting, missing extensions);
- build a testing plan (messaging, extensions, landing pages).
Then cross-check your own campaigns by separating brand vs non-brand, match type, the actual search terms triggered, and landing pages. For current macro reference points, also see our SEA statistics.
Comparing SEO and SEA CTR: A Clean, Repeatable Analysis Method
Step 1: Define a Comparable Scope (Queries, Pages, Countries, Devices, Periods)
A rigorous comparison starts with a strict scope. A minimum framework might include:
- Queries: same intent (e.g. transactional), same semantic set, noise excluded.
- Pages: same promise and offer (avoid comparing an SEO guide page with a "book a demo" SEA landing page).
- Country and language: SERP layouts and competition vary significantly.
- Devices: split mobile and desktop.
- Period: align the same weeks (seasonality can overwhelm everything else).
Step 2: Isolate Bias (Cannibalisation, SERP Changes, Seasonality, Brand Effects)
Four recurring sources of bias appear time and again:
- Cannibalisation: running SEA on a query where organic is already dominant (often brand queries).
- SERP variations: an AI Overview or video block reduces the clickable share.
- Seasonality: CPC can spike during peak periods (Odiens, 2025 reports +24% CPC during seasonal peaks), affecting delivery and therefore impressions and clicks.
- Brand effect: recognised brands often earn higher CTR at the same position, in both SEO and SEA.
Step 3: Think in Incrementality, Not Theoretical Click Share
The right question is not "which channel has the higher CTR?" It is: "which clicks and conversions does SEA deliver in addition to organic — or vice versa?" This incremental view prevents you from overpaying for clicks that would likely have happened anyway. It is particularly critical for brand queries and for queries where organic already sits in the top 1–3 positions.
Step 4: Tie CTR to Business Value (Conversion, CPL, ROAS, B2B Pipeline)
CTR is an attention metric, not an outcome metric. In SEA, a high CTR can be a warning sign if messaging attracts unqualified clicks and drives CPC upwards. In SEO, a lower CTR can still be acceptable if the page converts strongly and supports the buyer journey (DemandGen, 2026: 40% of consumers review 3 to 5 pieces of content before buying).
In B2B, always connect CTR → engagement → conversion → lead quality → closing rate. WordStream (2025) reports a B2B Search conversion benchmark of around 2.41%. HubSpot (2025) reports a 14.6% close rate for leads from SEO, and a cost per lead 61% lower than outbound, reinforcing the long-term value of organic acquisition in many B2B contexts.
Improving SEO CTR Without Harming Quality: Priorities and Best Practice
Rewrite Titles and Meta Descriptions: Align Intent, Promise and Proof
SEO CTR is often won at the snippet level through better intent alignment. Two useful reference points:
- Onesty (2026) observes an average +14.1% CTR uplift when the title is phrased as a question (use only where it matches the query intent).
- MyLittleBigWeb (2026) attributes +43% CTR to an optimised meta description (as long as it remains faithful to the content; otherwise you pay for it in bounce rate).
A practical rule: promise what the page delivers, add evidence (a number, year, source or method) and make the intended audience clear (for whom, and in what scenario).
Improve SERP Appearance: Structured Data and Eligible Formats
CTR depends on clickable surface area and readability. Structured data can help trigger certain enhanced displays (subject to eligibility). In addition, SEO.com (2026) reports a 6% CTR for featured snippets, which can be attractive for informational queries, especially in competitive SERPs where visibility is hard-won.
Manage Cannibalisation: One Query, One Priority Page, One Clear Message
In SEO, internal cannibalisation (multiple pages competing for the same query) can reduce overall CTR: Google alternates between URLs, snippets vary and users hesitate. The solution is rarely "publish more content". More often it is: clarify the priority page, consolidate internal linking and differentiate intents.
A Common Diagnostic Pattern: High Impressions, Low CTR, Stable Position
This pattern often indicates:
- a SERP change (AI Overview, video, local pack) absorbing attention;
- a weaker snippet (generic title, no proof, vague promise);
- an intent mismatch (you rank, but not for what the user actually expects);
- a device effect (heavy mobile share, result pushed below the fold).
Improving SEA CTR: Quick Wins and Controllable Levers
Account Structure and Ad Quality: Query–Ad–Landing Page Consistency
SEA CTR remains one of the most controllable levers available: bids, queries, audiences, copy and extensions. However, an "artificial" CTR (too broad, over-promising) is costly. In a context of CPC inflation (La Réclame, 2026), the goal is a qualified CTR that matches the landing page and the stage of the funnel.
Extensions and Messaging: Increase Useful Surface Area Without Diluting Intent
Extensions can improve performance when they reinforce relevance. Two benchmarks to note:
- Start’Her (2026) reports that 41% of users interact with ad extensions.
- Odiens (2025) measures an average +21% CTR uplift with call extensions.
One important caveat: extensions must stay aligned with intent; otherwise you may lift CTR whilst simultaneously damaging conversion rate.
Testing and Learning: What to Measure to Avoid False Positives
In SEA, a CTR "winner" can be a business loser. At minimum, measure: CTR, CPC, conversion rate, CPA/CPL and post-click quality (engagement, page depth, micro-conversions). Start’Her (2026) notes +17% conversion via creative A/B testing, and Odiens (2025) reports an average two-week optimisation window after an A/B test — so keep your test period long enough to avoid rushed conclusions.
The GEO Angle: How AI Answers Change Click Logic (and What to Measure)
When Visibility No Longer Drives Clicks: Adapt Your Success Metrics
With 60% of searches ending without a click (Semrush, 2025) and position-1 CTR potentially dropping to 2.6% in the presence of an AI Overview (Squid Impact, 2025), CTR alone is no longer sufficient to judge performance. It is necessary to add off-click visibility metrics: presence in enriched surfaces and, where observable, being cited as a source.
Semrush (2025) also links AI-driven visits to 4.4x higher engagement versus classic organic, supporting the idea of lower volume but potentially better-qualified traffic.
Write Content That Can Be Cited: Credibility Signals, Evidence and Reusable Passages
GEO rests on a straightforward principle: to be cited, you must be understood and trusted. Useful reference points:
- Squid Impact (2025) reports that 99% of AI Overviews cite results from the top 10 organic: SEO remains the foundation of citability.
- State of AI Search (2025) observes that structured pages (H1–H2–H3 hierarchy) are 2.8 times more likely to be cited, and that 80% of cited pages use lists.
- Vingtdeux (2025) estimates that expert or statistical content increases the likelihood of being cited by an LLM by +40%.
In practice: clear definitions, numbered steps, sourced figures with dates, and "quotable" passages — short sentences that summarise an idea without ambiguity.
Measurement: What You Can Track in GA4 and Search Console (and What Will Remain Partly Opaque)
Search Console and GA4 remain your foundations, but some AI visibility remains opaque (impressions within AI interfaces, citations not consistently tracked). Even so, you can already:
- monitor CTR drops with stable position (a signal of enriched SERPs or direct answers);
- cross-read performance by page and by intent;
- analyse post-click engagement (GA4) to distinguish "fewer clicks" from "better clicks".
Measuring and Managing Performance: Search Console, GA4 and ROI-Led Cross-Reading
In Google Search Console: Segment CTR by Query, Page and Search Appearance
In Search Console, work primarily by segment:
- queries: brand vs non-brand, intent, long-tail (SEO.com, 2026: 70% of searches contain more than three words);
- pages: one page = one primary promise;
- devices: mobile vs desktop;
- periods: compare like-for-like time windows (avoid atypical weeks).
In Google Analytics 4: Engagement, Conversions and Post-Click Quality
In GA4, CTR becomes truly useful when you tie it to what happens after the click: engagement rate, conversions and, in B2B, events that signal pipeline activity (downloads, contact requests, sign-ups). A lower CTR can be acceptable if session quality improves — especially as the SERP increasingly answers questions before the click ever happens.
A Simple Dashboard: CTR, Position, CPC, Conversion Rate and Value
A minimal, actionable dashboard might track:
- SEO: impressions, clicks, CTR and average position (by segment);
- SEA: impressions, clicks, CTR, CPC, conversions and CPA/CPL;
- shared: value (revenue, margin or lead score) and an incremental view for critical queries.
A Note on Incremys: Industrialising Analysis and Connecting CTR, Content and ROI
Centralise Search Console and Google Analytics 4 via API to Prioritise Optimisations
Incremys is a 360° GEO/SEO SaaS platform that integrates Google Search Console and Google Analytics 4 via API to automatically cross-analyse impressions, CTR, rankings, engagement and conversions. In the context of comparing the SEO vs SEA click rate, the value lies primarily in prioritising optimisations (high-potential queries and pages), identifying cannibalisation and linking content actions to measurable ROI — without endless exports and spreadsheets.
FAQ: SEO and SEA Click-Through Rate
What Is the Difference Between SEO and SEA?
SEO aims to earn clicks through organic results by building a long-term asset (content, technical foundations and authority). SEA buys immediate visibility through ads: clicks start as soon as the campaign serves, and stop when the budget does. In practice, most organisations use both, because they serve different time horizons.
What Is the Main Advantage of SEO Compared with SEA?
The key advantage of SEO is the compounding effect: a page can continue generating visits for months or even years. HubSpot (2025) also reports a cost per SEO lead 61% lower than outbound and a 14.6% close rate for SEO-sourced leads, which strengthens the long-term case for SEO — especially in B2B.
What Is a Good Click-Through Rate in SEO?
A "good" SEO CTR depends first on position and SERP layout. As benchmarks, Backlinko (2026) reports 27.6% in position 1 (average), 15.8% in position 2 and 11.0% in position 3. However, when an AI Overview is present, Squid Impact (2025) estimates position 1 can drop to 2.6%, so always contextualise by device, SERP features, intent and brand.
What Is a Good Click-Through Rate in SEA?
As a starting point, WordStream (2025) reports an average CTR of 3.17% for Google Ads Search (all industries) and 0.46% for Display. A good SEA CTR is, above all, a profitable one — assessed alongside CPC, conversion rate and CPA/CPL, not in isolation.
Why Does CTR Drop While Rankings Stay Stable?
The most common cause is a change in SERP layout: AI Overviews, video carousels, local packs or more visible ads. With 60% of searches ending without a click (Semrush, 2025) and over 50% of searches showing an AI Overview (Squid Impact, 2025), the "clickable share" shrinks even if your position does not move.
How Do You Compare SEO and SEA CTR Without Brand Bias?
At minimum, segment brand vs non-brand, then compare only query sets with the same intent (informational or transactional), in the same country and on the same device. Then apply an incremental lens: what SEA adds beyond organic (or what organic adds beyond paid), rather than comparing raw CTRs.
Does SEA "Steal" Clicks from SEO (and How Can You Verify It)?
Yes, it can (cannibalisation), especially on brand queries if you already rank first organically and no competitor is bidding. To test it, compare periods with and without SEA running (using an identical scope) and track changes in organic clicks, paid clicks and total conversions.
Should You Buy Ads If You Already Rank Well Organically?
Not automatically. It depends on competition for the query (particularly brand terms), lead value and measurable incrementality. A pragmatic approach is to maintain SEA where it drives additional conversions and reduce spend on queries you already "own" organically.
How Do You Identify the Highest-Priority Queries to Optimise in Search Console?
Target queries with high impressions, a position close to the top three (or stable) and a CTR that underperforms relative to comparable pages. Then check the SERP (AI Overviews, video, etc.) to choose the right lever: snippet, format, intent alignment or content improvement.
Which Optimisations Increase SEO CTR Without Attracting Unqualified Clicks?
The most reliable improvements clarify intent and add credible proof in the snippet (year, figures, method), without promising more than the page delivers. Question-style titles can help (Onesty, 2026: +14.1% average CTR uplift), and a well-crafted meta description can contribute (MyLittleBigWeb, 2026: +43%), provided it remains consistent with the content.
Which SEA Optimisations Improve CTR Without Sending CPC Through the Roof?
Start by improving relevance (query–ad–landing page alignment), then use extensions aligned with intent (Odiens, 2025: +21% CTR with call extensions). After that, test messaging variants whilst also measuring conversion and CPA/CPL to avoid false positives.
How Do AI Overviews and Zero-Click Searches Change Expected CTR?
They mechanically reduce expected CTR for many queries because answers may be delivered before the click. Semrush (2025) estimates 60% of searches end with no click, and Squid Impact (2025) reports a 2.6% CTR for position 1 when an AI Overview is present. As a result, you also need to track visibility indicators such as enriched appearances, citations and share of voice.
Which Metrics Should You Track Alongside CTR to Manage B2B Acquisition?
Alongside CTR, track: post-click engagement (GA4), conversions, CPL/CPA, lead quality (MQL/SQL), close rate and value (LTV, margin). In B2B, CTR alone rarely explains performance, particularly with longer sales cycles and multi-touch journeys (DemandGen, 2026: 3 to 5 content pieces consumed before purchase).
To explore SEO, GEO and performance measurement in greater depth through a data-led lens, you can find further analysis on the Incremys blog.
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