Tech for Retail 2025 Workshop: From SEO to GEO – Gaining Visibility in the Era of Generative Engines

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SEO, SEA and SEM: Differences, Scope and Use Cases

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Last updated on

22/2/2026

Chapter 01

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Understanding SEO, SEA and SEM: Definitions, Differences and How They Work Together (With a GEO Angle)

 

 

Introduction: Clarifying the Terms Without Yet Another Basic Comparison

 

If you want to understand the relationship between SEO, SEA and SEM without falling back into a binary debate, start with the reference article SEO vs SEA, which is already very comprehensive on trade-offs, KPIs, budget and ROI. Here, the aim is more specialised: to define the precise scope of each lever, explain what "search engine marketing" (SEM) really covers, and show how the rise of AI Overviews and LLMs demands a more systems-based view — including a GEO perspective.

 

Why This Clarification Is Becoming Critical With AI Overviews and LLMs

 

The topic is no longer just about "getting a click". A growing share of searches ends without a visit: 60% of searches result in no click at all (Semrush, 2025). At the same time, AI Overview-style interfaces answer directly within the SERP and shift the relative value of organic and paid: 95% of queries that trigger AI Overviews contain no advertising whatsoever (Semrush, 2025). The result is that performance is increasingly read as on-screen presence, citations, reassurance and contribution to the user journey — not simply sessions.

In this context, being precise about "organic search", "search advertising" and "SEM strategy" helps avoid two common B2B pitfalls: (1) investing in ads without building durable editorial assets, and (2) expecting organic search to compensate, on its own, for a short-term demand gap.

 

SEO and SEA: What You Need to Know to Make Decisions Quickly

 

 

SEO Defined: Objectives, Scope and Measurable Signals

 

SEO (Search Engine Optimisation) encompasses the practices that improve a site's visibility in organic results. Operationally, it spans three families of levers: technical (crawl, indexing, performance), content (intent coverage, structure, clarity) and authority (trust signals, links).

What changes in 2026 is not the definition itself, but how you interpret signals. For example, the top three organic results capture 75% of clicks (SEO.com, 2026), but this average varies considerably once the SERP includes feature modules (video, carousel, local pack, AI Overviews). Even an excellent ranking may not translate into a click when users get their answer directly on the results page.

 

SEA Defined: Auction Logic, Targeting and Control Levers

 

SEA (Search Engine Advertising) means buying visibility through ads shown on targeted queries, using an auction-based model. The principal advantage is speed: you can capture existing demand as soon as you launch, often within a matter of hours (Start'Her, 2026). The downside is structural — performance depends on budget and stops the moment spend stops.

A few useful reference points to frame orders of magnitude (without treating them as guarantees): the average Google Ads Search CTR is 3.17% (WordStream, 2025) and the average conversion rate is 3.75% (WordStream, 2025). The average Search CPC is $2.69 (WordStream, 2025), with significant sector variation (for example, $6.75 in legal services, WordStream, 2025). These figures help you estimate speed of impact and cost sensitivity, not benchmark an account to the last penny.

 

What You Can Validate Quickly in Google Search Console and Google Analytics

 

Without multiplying tools, you can already make the organic versus paid distinction tangible using Google Search Console and Google Analytics:

  • Search Console: impressions, clicks, CTR and positions by query and by page — your "intent to visibility" view.
  • Analytics: engagement, conversions (direct and assisted), contribution by landing page and by channel — your "traffic to value" view.

In a SEM approach, the real value lies in bringing these two perspectives together, so you avoid snap conclusions such as "page X doesn't convert" (when it actually assists conversions later) or "campaign Y is performing" (when it is mainly harvesting demand that your content already created).

 

SEM: A Systems-Based Approach to Orchestrating Organic and Paid Search

 

 

Where Each Lever Starts and Ends: Structuring Actions and Reporting

 

SEM (Search Engine Marketing) is the umbrella scope aimed at maximising visibility and acquisition from search engines. In its most common definition, it combines organic search (SEO) and search advertising (SEA). Some organisations also include adjacent activities (depending on team structure, sometimes SMO), but from a management perspective the key is to define a single decision framework: which queries to target, with which lever, over what time horizon, and how impact will be measured.

 

The Difference Between SEO and SEM Is a Question of Scope, Not Technique

 

The difference between SEO and SEM is not some mysterious method — it is a matter of scope:

  • SEO is a lever (organic) with its constraints (time, competition, authority) and its assets (durable pages and content).
  • SEM is an orchestration strategy that combines multiple search levers to maximise presence, learning and conversions.

In other words, you do not "replace" SEO with SEM: you use a SEM approach to decide how SEO and SEA each contribute to overall performance.

 

Common Misunderstandings: How to Avoid Them in Briefs and Dashboards

 

Three confusions consistently lead to suboptimal decisions:

  • Confusing channel with objective: "we run SEA for ROI" and "we do SEO for brand awareness". In B2B, both can drive leads, but over different time horizons.
  • Confusing visibility metrics with value metrics: rising impressions can signal an increased share of voice, even if CTR declines due to SERP features or zero-click results.
  • Confusing a query with a page: in SEM, you manage an intent (query), then select the best page and the best lever — organic, paid, or both — to serve it.

 

Building a SEM Strategy Without Cannibalisation: A Practical B2B Method

 

 

Segment by Intent and Time Horizon: Fast Impact vs Durable Asset

 

The most robust approach is to segment your search universe along two axes:

  • Intent: discovery (definition, problem), consideration (comparisons, methods), decision (pricing, demo, quote).
  • Horizon: 30/60/90-day needs versus a 6/12-month build.

Why? Because search is largely specific: 70% of searches contain more than three words (SEO.com, 2026). That granularity favours a portfolio approach — some queries can be won sustainably through organic search (often long-tail), whilst others are best captured quickly via campaigns, particularly when the intent is explicitly transactional.

 

Deciding What to Buy, What to Build and What to Protect on the SERP

 

To avoid cannibalisation, think in three simple verbs, each of which maps to a very concrete budget decision:

  • Buy: activate search advertising when time-to-rank is incompatible with your goals — at launch, against quarterly targets, or in highly competitive markets.
  • Build: invest in pages and content capable of absorbing recurring demand, strengthening credibility and reducing dependence on CPC over time.
  • Protect: decide whether brand defence is incremental (competitors are bidding) or cannibalising (you are already first organically and bidding alone).

 

Turning Campaign Learnings Into Editorial Priorities

 

A mature SEM approach uses SEA as a fast learning loop: identifying which keywords trigger qualified demand, which messages lift click-through rate, and which objections surface on landing pages. You then convert those signals into durable SEO and GEO actions: better-structured solution pages, content that addresses objections directly, conversion-oriented FAQs, and supporting evidence or comparisons.

This is particularly valuable when buyer journeys are long — the classic B2B scenario — and several pieces of content influence the decision before the final conversion takes place.

 

Managing Overlap Areas: Brand, Competition and Key Pages

 

Overlap between organic and paid is not a problem in itself. It becomes one when you pay for clicks you would have earned anyway, with no net uplift. The areas to watch are:

  • Brand: potential cannibalisation if you already dominate the SERP and no competitor is bidding against you.
  • Key pages: an ad may temporarily outperform because it makes a clearer promise than the organic page delivers. In that case, the priority optimisation is often the page itself.
  • Competition: if competitors bid on your terms, a paid defence can preserve click share and conversions — to be weighed against margin and lead value.

 

Measurement and Trade-Offs: Linking Each Lever to Performance and ROI

 

 

KPIs Not to Mix Up: What Each Lever Really Measures

 

In SEM management, clarity comes from avoiding comparisons between metrics that tell fundamentally different stories:

  • SEO: share of visibility (impressions), rankings, CTR contextualised by device and SERP features, and contribution to conversions (direct and assisted).
  • SEA: CPC, CTR, conversion rate, CPA and segment-level analysis (brand vs non-brand, intent, geographies).
  • SEM: incrementality (what is genuinely additional), cannibalisation (what you pay for with no net gain) and assistance (what influences conversion without being the last click).

 

Using Benchmarks Without Over-Interpreting Them

 

Benchmarks are useful for setting ranges, but they become misleading when context is ignored — sector, maturity, competition and SERP composition all matter. Use them to frame a hypothesis, then validate against your own Search Console and Analytics data.

 

When to Use SEO statistics to Set Growth Expectations

 

To estimate the potential value of an organic investment, rely on market-structure and user-behaviour reference points. For example, the first organic position can achieve a 34% desktop CTR (SEO.com, 2026), whilst page two drops to just 0.78% CTR (Ahrefs, 2025): these gaps justify prioritising "winnable" pages rather than spreading effort too thinly. For further benchmarks and sources, consult the SEO statistics published by Incremys.

 

When to Use SEA statistics to Estimate Costs and Speed of Impact

 

To quantify a short-term scenario — a quarterly target or market test — SEA benchmarks help frame costs and timelines: average Search CPC at $2.69 (WordStream, 2025), average Search CPA at $48.96 (WordStream, 2025), and profitability reached in under three months for 61% of campaigns (Odiens, 2025). For a consolidated view covering CTR, conversion, automation and costs, refer to the SEA statistics.

 

Attribution and Incrementality: Avoiding Last-Click Decisions

 

In B2B, the final conversion often occurs after multiple touchpoints. Relying solely on last-click attribution mechanically favours paid brand campaigns and undervalues the organic content that educated, reassured or built preference at an earlier stage.

Rather than chasing perfect attribution, aim for a consistent reading: compare brand versus non-brand, analyse assisted conversions, and test time windows suited to your sales cycle (30, 60 or 90 days, or longer for extended cycles). The goal is to identify where SEA genuinely adds incremental value and where SEO builds an asset that lowers acquisition costs over time.

 

GEO Angle: How AI-Assisted Search Is Reshaping These Levers

 

 

From Ranking to Being Cited: New Visibility Objectives

 

With AI-assisted search, the challenge goes beyond ranking: you also need to become a source that is cited or used in synthesised summaries. Several signals point in this direction: 87% of ChatGPT citations match the top Bing results, and 99% of AI Overviews cite the top ten organic results (Squid Impact, 2025). This directly links organic work — quality, authority and structure — to visibility within generative interfaces.

Worth noting too: more than 50% of Google searches are now reported to display an AI Overview (Squid Impact, 2025). Even if these figures vary by country, device and query type, they are sufficient to justify extending SEM management naturally towards GEO objectives: cite-ability, content structure and the provision of verifiable evidence.

 

Adapting Content to Be Reused: Structure, Evidence, Entities and Readability

 

"GEO-compatible" content is not simply about length. It needs to be extractable and verifiable:

  • Structure: an H1-H2-H3 hierarchy increases the likelihood of being cited by 2.8 times (State of AI Search, 2025), and 80% of cited pages use lists (State of AI Search, 2025).
  • Evidence: expert and data-led content increases the probability of being cited by an LLM by 40% (Vingtdeux, 2025).
  • Entities: keep definitions stable and make relationships explicit — SEO, SEA, SEM, ROAS, cannibalisation, incrementality — to help models understand and reuse your information accurately.

Finally, keep freshness in mind: 79% of AI bots index content from the past two years (Squid Impact, 2025). Editorial maintenance is becoming a visibility lever in its own right.

 

How to Decide When Clicks Decline: More Content, More Paid, or Better Extractability

 

When zero-click behaviour increases, three responses are available — and they are not mutually exclusive:

  • Strengthen organic where you can become a cited reference (definitions, frameworks, data, methods), building authority and on-screen presence even without a direct click.
  • Activate paid on highly transactional intents, where speed is paramount and the landing page is optimised to convert.
  • Improve extractability (GEO): direct answers, concise sections, benchmark tables and dated sources. The objective is to increase the probability of being reused, cited and recognised.

This triage needs to happen query by query, taking into account business value, competitive intensity and how much screen space is genuinely visible to users.

 

A Word on Incremys: Industrialising Orchestration Without Adding Process Overhead

 

 

Centralising Search Console and Analytics via API, Then Prioritising Content, Tests and Reporting

 

Incremys was designed to help marketing teams manage an integrated SEO, SEA, SEM and GEO approach without creating additional silos. The SaaS platform integrates and encompasses Google Search Console and Google Analytics via API, connecting intent (queries, impressions) with value (conversions, ROI), then prioritising content opportunities, generating briefs, planning production and tracking ranking changes over time. The objective is entirely practical: decide faster, execute cleanly and iterate with comparable data across organic and paid channels.

 

FAQ: SEO, SEA, SEM and GEO

 

 

What Are SEO and SEA?

 

SEO refers to organic search: technical, editorial and authority optimisations designed to win organic rankings. SEA refers to search advertising: you buy distribution through an auction system (such as Google Ads), achieving fast impact but remaining dependent on budget to sustain it.

 

What Is SEM, and How Does It Differ From the Other Two Levers?

 

SEM is the overarching approach to marketing on search engines. It generally combines SEO (organic) and SEA (paid) to orchestrate visibility, acquisition and measurement — rather than managing the two in entirely separate silos.

 

What Is the Difference Between SEO and SEM?

 

SEO is a lever (organic search). SEM is a scope and orchestration strategy that includes SEO and, most commonly, SEA. The difference therefore lies in the breadth of the management framework, not in any specific technique.

 

Does SEM Always Include SEA, or Can You Run a Strategy Without Advertising?

 

In most organisations, SEM includes both SEO and SEA. That said, you can run a search-led strategy without advertising if your objectives and timelines permit. The main risk is forgoing a fast learning lever and losing immediate capture on transactional intents.

 

Should You Run SEA if You Already Rank Organically for the Same Query?

 

Not necessarily. If organic is already capturing most clicks and no competitor is bidding, paid spend can cannibalise free traffic. However, if the SERP is highly competitive, if competitors are bidding on your brand terms, or if you want to occupy more visible space on the page, a paid presence may still be worthwhile — best tested through incrementality analysis.

 

How Do You Prevent Paid Campaigns From Taking Conversions That Would Have Come Via Organic?

 

Separate brand from non-brand, compare periods with and without ads across the same query sets, and analyse assisted conversions in Analytics. The aim is to determine whether SEA is bringing additional conversions (incrementality) or simply harvesting demand already won by your content.

 

Which KPIs Should You Use to Manage a B2B SEM Approach?

 

For SEO: impressions, share of visibility, rankings, contextualised CTR and assisted conversions. For SEA: CPC, CTR, conversion rate, CPA, ROAS and brand versus non-brand segmentation. At SEM level: incrementality, cannibalisation, multi-touch assistance and contribution to pipeline (lead quality).

 

How Should Budget Be Split Between Organic and Paid Over 30, 90 and 180 Days?

 

There is no universal ratio. At 30 days, paid typically helps you capture demand and test quickly. At 90 days, the aim is usually balance: optimised campaigns alongside the first durable editorial gains. At 180 days, the goal is generally to shift part of CPC dependence into organic assets — pages, content and authority — on queries that are genuinely winnable, whilst retaining SEA for highly transactional intents or those that are too slow to win through organic search alone.

 

How Does GEO Change the Way You Think About SEM?

 

GEO adds a no-click visibility objective: being reused, cited and summarised. Because AI Overviews rarely contain advertising (Semrush, 2025), cite-ability becomes a complementary challenge alongside conversion. This pushes you to structure content more carefully, provide verifiable evidence, and track presence signals that go beyond session data alone.

 

Which Content Is Most Likely to Be Cited by LLMs and AI Overviews?

 

Structured content using H1-H2-H3 headings, with lists, stable definitions and dated evidence. Expert and data-led content increases the likelihood of citation by 40% (Vingtdeux, 2025). Freshness matters too, as AI bots largely prioritise content published within the past two years (Squid Impact, 2025).

 

Which Vocabulary and Reporting Mistakes Create the Most Confusion Between These Three Levers?

 

The most common errors are: using "SEM" to mean SEA only, comparing non-comparable KPIs such as rankings versus CPA, failing to separate brand and non-brand traffic, and drawing ROI conclusions based on last-click data alone. Addressing these points immediately improves the quality of strategic decisions.

To explore further analysis on SEO, GEO and digital marketing, visit the Incremys Blog.

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