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

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Understand and Improve Your Google Search Position

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Last updated on

15/3/2026

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Improving your Google search position is not about gaining a few places in the abstract. It means managing rankings by query, by page and by context (country, device, intent). In 2026, this is more important than ever: richer SERPs (local packs, videos, featured snippets) and generative answers can dramatically reshape click-through rate (CTR). This guide provides a practical method to understand what influences your positions, measure them correctly (Search Console + GA4) and decide what to optimise, using reference points backed by recognised sources (Google Search Central, Semrush, Backlinko, HubSpot, SEO.com and others).

 

Understanding Google Search Position in 2026: Definition, Stakes and SEO Impact

 

 

What exactly does Google rank (page, intent, context)—and why?

 

Your Google search position is the ranking of a page (a URL) in results for a given query. People often talk about ranking for a keyword, but reality is more nuanced: a single URL can rank for dozens (or hundreds) of queries, and its position can vary depending on:

  • intent (informational, commercial, transactional, navigational);
  • context (language, country, sometimes city);
  • device (mobile vs desktop);
  • the SERP at a given moment (local pack, video carousel, AI overview, etc.);
  • a degree of personalisation (location, history, settings).

The practical consequence: you do not manage a site with a single score. You manage a portfolio of query → page → segment and prioritise based on business value.

 

Why rankings still matter in 2026—even with AI answers in the SERP

 

Google remains central to search. According to Webnyxt (2026), it holds 89.9% global market share, and daily searches reach 8.5 billion (Webnyxt, 2026). Even as AI-first engines grow, ignoring Google means cutting yourself off from a major source of demand.

At the same time, AI answers are changing the value of a position. According to Semrush (2025), 60% of searches end with no click (zero-click). And when AI overviews appear, CTR can drop sharply: Squid Impact (2025) reports 2.6% CTR for the first position in that context. That does not make SEO pointless; it means you must think in terms of above-the-fold visibility, cite-ability and contribution to the journey (awareness, reassurance, micro-conversions).

 

What is the impact on visibility, CTR, traffic and conversions?

 

Position strongly affects the likelihood of being clicked—but not linearly. Useful benchmarks include:

  • The organic top 3 captures around 75% of clicks (SEO.com, 2026).
  • Position 1 can reach 34% CTR on desktop (SEO.com, 2026).
  • Page 2 drops to 0.78% CTR (Ahrefs, 2025).
  • Between positions 1 and 5, the traffic gap can reach 4x (Backlinko, 2026).

From a business perspective, traffic is only a means to an end. In B2B, improving a rank for an informational query may primarily boost brand awareness, whereas a modest improvement on a high-intent query can multiply leads. This is why you should connect Search Console (visibility) with Analytics (value).

 

How Google Shapes the SERP: Signals, Systems and Real-World Behaviour

 

 

What is the difference between ranking factors, signals and systems (without over-interpreting)?

 

In SEO, three levels are often mixed together:

  • Signals: observable or inferable elements (links, perceived quality, performance, content consistency, mobile friendliness, etc.).
  • Systems: mechanisms that combine signals (e.g. language understanding, spam prevention, intent interpretation).
  • Factors: a catch-all term that is often oversimplified. HubSpot (2026) references 200+ criteria, but that does not mean 200 levers you can pull; many overlap and depend on context.

A good habit is to avoid rushed cause-and-effect thinking. Work with hypotheses, tests and measurements over several weeks (Search Console data is not real-time, as Google Search Central notes).

 

Why rankings change (SERP features, personalisation, competition)—and how to read the SERP properly

 

The SERP is no longer a stable list of 10 blue links. It includes modules that shift attention and change CTR: rich results, video blocks, People also ask, local packs and sometimes generative answers.

Your average position can therefore hide a segmented reality: a URL might be 4th on desktop, 9th on mobile and barely visible when a module dominates the screen. To read the SERP correctly, always cross-check:

  • the segment (mobile/desktop, country, time period);
  • search appearance (rich results, videos, etc., if available);
  • intent (is the SERP informational, commercial, local?).

 

What you should not confuse (rankings, share of visibility, true performance)

 

Three common confusions are costly:

  • Position ≠ traffic: a low-volume query can rank well with little impact.
  • Traffic ≠ value: unqualified sessions can hurt your KPIs (engagement rate, conversions).
  • Visibility ≠ clicks: with zero-click behaviour (Semrush, 2025), impressions can increase without proportional session growth.

The goal is therefore twofold: improve rankings where it is profitable and increase the page's ability to win the click (snippet) or support the journey (reassurance, micro-conversions, cite-ability).

 

How to Measure and Track Keyword Rankings Reliably (A Repeatable Method)

 

 

How to choose the right keywords (brand, non-brand, intent, business value)

 

Useful tracking starts with a manageable set. To choose your queries:

  • separate brand vs non-brand (different dynamics and competition);
  • categorise by intent (awareness → consideration → decision);
  • assign a target page to each primary query (or cluster);
  • prioritise by value: pipeline, MQL/SQL, opportunities, average deal size or assisted contribution.

A useful reference point: according to SEO.com (2026), 70% of searches contain more than 3 words. Long-tail queries are therefore structural: they often carry clearer intent and can deliver stronger CTR (SiteW, 2026 reports 35% for long-tail vs 22% for very short queries).

 

How to set a tracking framework (country, city, device, timeframe, target pages)

 

Set a stable framework to avoid false signals:

  • country (and sometimes city if you have a local footprint);
  • mobile vs desktop (60% of global web traffic comes from mobile according to Webnyxt, 2026);
  • timeframe: compare 28 days vs 28 days, or 90 days to smooth volatility;
  • target pages: each query should map to an owned page to limit cannibalisation.

 

How to measure results (positions, changes, impressions, CTR, conversions)

 

Measuring properly means combining two views:

  • Google Search Console for SERP metrics: impressions, clicks, CTR and average position (by query and by page).
  • GA4 for post-click performance: sessions, engagement, events, conversions and contribution to revenue or pipeline.

Track at minimum: (1) average position changes on target queries, (2) impressions (share of visibility), (3) CTR (snippet effectiveness) and (4) direct and assisted conversions. This chain explains real impact.

 

Why a better ranking does not always mean more traffic

 

Four frequent reasons:

  • low demand (the query has little volume);
  • CTR captured by SERP modules (local packs, video blocks, AI answers, etc.);
  • an unconvincing snippet (generic title, inconsistent meta description);
  • intent mismatch (Google shows you, but users do not click—or bounce).

MyLittleBigWeb (2026) reports that an optimised meta description can increase CTR by +43% (results vary by SERP). This is a classic quick test when impressions rise without corresponding click growth.

 

Using Google Search Console to Manage Rankings

 

 

Where to find the key data (clicks, impressions, CTR, average position)

 

In Google Search Console, the Performance report contains the indicators most directly tied to rankings: clicks, impressions, CTR and average position. Its key advantage is the queries ↔ pages view, which helps you understand why Google shows you and where your headroom lies.

A common, actionable pattern in analysis: high impression volume with an average position between 4 and 15 often signals optimisation potential (snippet, structure, intent fit, internal linking).

 

Which segmentations to use (queries, pages, devices, countries, appearances) to avoid false diagnoses

 

Without segmentation, you risk drawing the wrong conclusion about rises or drops. The most useful segmentations are:

  • queries (dominant intent, brand vs non-brand);
  • pages (which URLs actually drive visibility);
  • devices (mobile/desktop gaps);
  • countries (useful for multi-market sites);
  • search appearance where available (rich results, etc.).

Remember the data is not instantaneous. Focus on trends over days or weeks and note changes to content, templates or internal linking.

 

How to spot opportunities (queries ranking 8–20, high-potential pages, cannibalisation)

 

Three highly effective filters:

  • queries in positions 8–20 with strong impressions: often quick wins (better intent match, strengthen the key section, rework the title and promise).
  • pages with high impressions but low CTR: improve the snippet (title, meta description) and intent alignment.
  • cannibalisation: multiple pages share the same queries, diluting signals. A typical sign is URL swapping in results and unstable average position.

 

How to diagnose a drop (update, loss of relevance, technical issue, SERP change)

 

Work by elimination:

  • segment (a mobile-only drop often points to UX/performance);
  • check indexing (excluded pages, inconsistent canonicals, redirects);
  • review the SERP (new competitors, new modules, a shift in dominant intent);
  • check freshness (outdated content, dated examples, obsolete offers);
  • correlate with your changes (migration, redesign, tracking rollout, template edits).

At scale, remember Google makes between 500 and 600 updates per year (SEO.com, 2026). Stability usually comes from solid technical foundations and consistently useful content.

 

Connecting Analytics to Ranking Tracking: From Positions to Business Outcomes

 

 

What does GA4 add compared to Search Console (behaviour, journeys, conversions)?

 

Search Console explains your performance on Google (impressions, clicks, CTR, position). GA4 explains what happens after the click (engagement, navigation, events, conversions). It is not a competition—it is a sequence.

A simple example: a page gains 3 positions, clicks rise, but leads stay flat. GA4 helps you check whether traffic is less qualified, whether the CTA is hard to see on mobile or whether the form creates friction.

 

How to set up measurable B2B conversions (without overcomplicating tracking)

 

In B2B, start with a lean model that is testable and manageable:

  • macro-conversions: demo request, contact form submission, booked meeting.
  • micro-conversions: email click, phone click, document download, form open, CTA click to a solution page.

Because GA4 is event-based, the goal is to define 5–10 truly decision-making events, then analyse their distribution by organic landing page.

 

How to value gains and assess the impact on leads and revenue

 

To value ranking improvements, think in terms of contribution rather than last interaction. In B2B, informational content often opens the journey. Measure:

  • direct conversions from SEO landing pages;
  • assisted conversions (return visits, multi-page journeys);
  • quality signals (engaged time, strategic internal clicks).

To structure this approach, you can use our resource SEO ROI to connect visibility, leads and value for better prioritisation.

 

Improving Performance on Google: Priority Levers and Best Practice

 

 

How to align content with intent (structure, depth, evidence, updates, originality)

 

Intent alignment remains the highest-ROI lever. Practical best practices include:

  • start with a clear answer (definition, framework, method), then go deeper;
  • use strong structure with H2/H3, lists and reference tables (useful for SEO and for AI consumption);
  • add dated evidence (figures with named sources) and operational examples;
  • update content ahead of seasonal peaks (Google Trends helps visualise seasonality, but it shows relative interest, not absolute volume);
  • avoid generic writing: standard content is quickly overtaken, especially in competitive SERPs.

For editorial benchmarking, Webnyxt (2026) reports an average of 1,447 words for a top-10 article, while Backlinko (2026) often recommends 1,500–2,500 words for informational content. The right length is the one that fully satisfies intent without padding.

 

Which on-page optimisations matter (title, headings, internal linking, structured data, UX)

 

  • Title: clear promise + benefit + differentiator (year, method, checklist) when relevant.
  • Heading hierarchy: what is readable for users is often readable for search engines.
  • Internal linking: guides crawling, distributes authority and supports the user journey. Aim for contextual links to solution pages.
  • Structured data: useful for specific rich results (depending on content type).
  • UX: navigation, mobile readability, speed and clear CTAs.

On this topic, you can read Google ranking to explore related concepts—without treating ranking as a single score.

 

Which technical foundations to prioritise (indexability, canonicals, performance, mobile, rendering quality)

 

Before optimising content, secure eligibility to rank:

  • indexability: pages not blocked (robots, noindex), clean sitemap, coherent coverage.
  • canonicals and URLs: avoid duplication and fragmentation (http/https, www/non-www, trailing slash).
  • performance and mobile-first: Google (2025) notes that 40–53% of users leave a page that is too slow, and HubSpot (2026) cites a +103% bounce increase with 2 extra seconds of load time.
  • rendering quality: critical resources not blocked; main content accessible.

Core Web Vitals remains a differentiator: SiteW (2026) estimates only 40% of sites pass the assessment, leaving competitive headroom.

 

How to build credibility and authority (trust signals, external links, proof pages)

 

On competitive queries, authority often makes the difference. Backlinko (2026) notes that 94–95% of pages have no backlinks, and that position 1 has an average of 220 backlinks. Without chasing those volumes, the aim is to earn relevant links and strengthen trust signals:

  • proof pages (about, expertise, references, methodology);
  • named sources and dated data;
  • editorial consistency through topic clusters.

 

Scaling a Tracking and Optimisation Strategy

 

 

How to prioritise by impact vs effort (quick wins, foundational work, new pages)

 

A robust prioritisation combines visibility, feasibility and value:

  • quick wins: queries ranking 8–20 with strong impressions, underperforming CTR, already indexed pages.
  • foundational work: templates, mobile performance, internal linking, architecture redesign.
  • new pages: when demand exists but no page properly satisfies the intent (do not stay trapped in what already exists).

According to SEO.com (2026), only 22% of pages reach page one after a year—another reason to target winnable pages and iterate.

 

How to organise your editorial plan (clusters, consolidation, updates, avoiding duplication)

 

An effective editorial plan looks like a map:

  • one pillar (main guide) per business theme;
  • satellite pieces per intent (definition, comparison, method, use cases);
  • regular consolidation (merge, redirect, improve) to prevent duplicates.

The goal: every important query has a legitimate destination page, and every page guides users towards a next step (proof, demo, resource).

 

What operating rhythm to adopt (weekly, monthly, quarterly)

 

  • weekly: monitor anomalies (sudden drops, excluded pages, technical issues).
  • monthly: review opportunities (near-top-10 queries, CTR, cannibalisation, high-potential pages).
  • quarterly: structural decisions (architecture, new clusters, link strategy, template redesign).

 

Tracking and Analysis Tools in 2026: How to Choose Without Multiplying Dashboards

 

 

Google-native tools vs third-party solutions: accuracy, bias, coverage and costs

 

Google's native tools are the baseline:

  • Search Console: the best source for performance in Google (impressions, clicks, CTR, average position).
  • GA4: the best source for post-click behaviour (events, conversions, journeys).
  • Google Trends: excellent for seasonality and phrasing, but it measures relative interest, not absolute volume.

Third-party tools can add granularity (daily tracking, SERP features, multi-engine coverage), but they also introduce measurement bias (simulated location, panels, approximations). Consider them when you have a clear need (multi-country, advanced alerts, competitive tracking).

 

Selection criteria (multi-country, SERP features, alerts, API)

 

  • segmentation capability (country, device, city);
  • SERP feature tracking;
  • alerting (CTR drops, loss of indexed pages, strong volatility);
  • exports and API access (to automate reliable reporting).

 

How to automate reporting (access, data quality, metric consistency)

 

Automation does not mean stacking dashboards. Aim for a single model with stable definitions:

  • consistent comparison windows (28 days, 90 days);
  • consistent segments (brand/non-brand, mobile/desktop, country);
  • a consistent funnel of metrics (impressions → clicks → conversions).

Finally, document access (Search Console owners, GA4 permissions) to avoid loss of control when teams change.

 

Mistakes to Avoid for Sustainable Progress

 

 

Why focusing on a single ranking instead of an outcome (visibility, conversions) holds you back

 

Chasing one position encourages optimisation for the tool rather than the user. Yet in 2026, performance is often driven by the trio: (1) visibility (impressions), (2) attractiveness (CTR), (3) value (conversions). A ranking gain that does not improve these three dimensions can be a false win.

 

How to avoid over-optimisation without strategy (cannibalisation, redundant content, incoherent internal linking)

 

  • one primary query → one owner page (or a clearly structured cluster);
  • consolidation: merge similar content, redirect and clarify canonicals;
  • intent-led internal linking: links to the next step (proof, solution, contact), not just more articles.

 

Which technical signals you must not ignore (excluded pages, blocked resources, slowness, incomplete rendering)

 

Three priority alerts:

  • pages excluded from the index without a business reason (duplication, unexpected canonical, accidental noindex);
  • blocked resources that harm rendering (essential CSS/JS);
  • mobile slowness (direct impact on abandonment and engagement).

 

2026 Trends: What Shapes Visibility in Modern SERPs

 

 

How enriched SERPs and AI answers affect CTR and your content strategy

 

Two trends are reshaping visibility:

  • SERP densification: La Réclame (2026) indicates that 50% of SERPs include a visual or video element.
  • growth of zero-click search: Semrush (2025) estimates that 60% of searches generate no click.

The implication: optimise content to be understood quickly (direct answers, structure, lists) and to be citable in summaries—whilst still creating entry points that genuinely bring users to your site (tools, comparisons, downloadable resources, proof).

For quantified benchmarks on these shifts, see GEO statistics and SEO statistics.

 

Why freshness, usefulness and reliability are becoming decisive—and what that means for production

 

Useful freshness (updates, accuracy, dated examples) is increasingly an advantage, especially in fast-moving SERPs. Squid Impact (2025) reports that 79% of AI bots index content from the last two years; keeping key pages up to date becomes an SEO and GEO action.

 

How to manage ROI-focused measurement (rankings, visibility, business performance)

 

An ROI-focused approach combines:

  • rankings and impressions (Search Console);
  • post-click quality (GA4: engagement, micro-conversions);
  • value (qualified leads, opportunities, attributed or assisted revenue).

To frame a full organic + paid strategy (without mixing KPIs), the article SEO SEA SEM helps structure trade-offs.

 

How Incremys Helps Structure Diagnosis and Roadmapping

 

 

How to audit, prioritise and track gains with a data-driven approach

 

Incremys is a B2B SaaS platform dedicated to SEO and GEO optimisation: opportunity analysis, planning, creation supported by personalised AI, rank tracking and ROI interpretation. The aim is to make portfolio-based management easier (queries, pages, segments) and turn insights (high impressions, low CTR, near-top-10 positions, indexing issues) into a prioritised action plan. To start with a full diagnosis (technical, semantic, competitive), the audit SEO & GEO 360° Incremys module can provide a solid methodological baseline.

 

Useful resource: audit SEO & GEO 360° Incremys

 

If you want a structured starting point before industrialising your strategy, the audit SEO & GEO 360° Incremys helps define priorities (technical foundations, intent coverage, competitive opportunities) and build a measurable roadmap.

 

FAQ: Google Search Position

 

 

How do you measure results reliably?

 

Combine Search Console (impressions, clicks, CTR, average position by query and by page) with GA4 (engagement, events, conversions). Segment at least by device and country, compare like-for-like periods (28 days vs 28 days, or 90 days) and look for directional consistency rather than perfect equality between clicks (GSC) and sessions (GA4).

 

How do you build an effective routine with limited time and resources?

 

Focus on 10–20 high-potential pages, then iterate: (1) queries in positions 8–20 with strong impressions, (2) snippet improvements when CTR is low, (3) targeted content enrichment to match intent, (4) internal linking to the next step. Run a monthly review and a quarterly consolidation.

 

What mistakes should you avoid when optimising (content, technical, authority)?

 

Avoid (1) duplication and cannibalisation (multiple pages targeting the same intent), (2) large unmeasured changes (no annotations, no test plan), (3) technical oversights (noindex, inconsistent canonicals, mobile slowness) and (4) publishing generic content with no evidence or differentiation.

 

How does it compare with alternatives?

 

Alternatives (Bing, AI engines, platforms) matter more each year, but Google remains dominant (Webnyxt, 2026). In practice, strong visibility on Google can also create a flywheel effect: AI systems frequently cite pages that are already highly visible in traditional search (Goodness, 2026). The most resilient strategy is therefore to optimise for Google and make your content citable (structure, definitions, data, reliability) to capture generative visibility.

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