How Users Search

People do not search with one query but with a series: a broad question first, then refinements, comparisons, and only at the end "buy". Understanding how users search decides which pages you need and in what order. This lesson covers the five stages of the journey, three ways queries get phrased, the long tail, and why a share of searches ends without a visit to any site.

Google describes how a query is parsed and answered in «How Google Search works». Your own query numbers live in the Search Console performance report, and those are the ones to plan against rather than somebody else's averages.

Search isn't a single query. It's a session

Classic SEO assumes the user types one query → gets results → leaves. In reality, one task = 11+ queries over 33 minutes (per long-running search-session research). A typical vacation-planning session looks like:

That means: the same user can hit your site multiple times at different stages. The job of SEO is to cover as many of those stages as possible.

The 5-stage user journey

On most sites, only stage 4 (transaction) has dedicated pages. But most of the journey happens in stages 1–3, long before anyone types "buy". Want more traffic? Cover the early stages too.

Where users actually search in 2026: the new landscape

"Search" in 2026 is no longer just the Google results page. It is a family of interfaces, each with its own rules. Google does not publish the split between them and third-party estimates differ several-fold, so the table below lists what changes for SEO rather than percentages.

To see how demand for a topic moves, use Google Trends; for your own impressions and clicks, the Search Console performance report.

How users phrase queries: 3 different languages

The 2026 key shift: in AI interfaces users no longer "drop in" keywords — they describe the full task, with constraints (budget, experience level, context). Your content must answer complete tasks, not keyword fragments.

The zero-click era: why impressions grow and clicks do not

A share of searches ends without a visit to any site: the answer arrives in the results page itself — in a featured block, a business card, an AI Overview. Google does not publish how large that share is. Research firms' estimates differ several-fold and are built on different samples, so memorising someone else's percentage gets you nowhere.

Your own share, though, you can see exactly. In the performance report, compare impressions and clicks for a query across equal periods. If impressions hold or grow, average position is unchanged and clicks fall, something in the results page is answering on your behalf.

What to do about it depends on the query type. For informational queries the goal shifts from holding a line to being the source that gets cited: a short direct answer up front, clear structure, checkable facts. For transactional queries the results page still sends people to sites, and the classic top three is what counts.

For a step-by-step read of a CTR drop, see organic CTR by position and the CTR lens tool.

Long-tail: where the conversions live

The longer and more precise the query, the less traffic it carries — and the closer the person is to a decision. The same ladder as the journey stages:

How much conversion actually rises from stage to stage is a number for your site, not a universal constant: it depends on the niche, the price and the site itself. You can work it out by joining Search Console queries with GA4 conversions.

The long tail is the mass of rare queries that each bring a handful of impressions. Individually invisible, together they often account for a noticeable share of traffic. You can see your own tail in the performance report: sort queries by impressions and look at how many sit at the bottom. Pull the full list with the GSC export and group it by meaning with the intent classifier.

🔥 2026 lifehacks: how to cover the new behavior landscape

1. Optimize for AI Mode follow-ups

Google AI Mode (launched March 2025, global rollout summer 2025) runs multi-turn dialogs: the user asks a follow-up and Google "remembers" the prior context. That means after the first answer, AI Mode searches your content for a possible follow-up answer too.

Lifehack: in every article, after the main answer, list 3–5 likely follow-up questions and answer them in place. A "best running shoes" article should have sections like "What if I have flat feet?", "What about asphalt?", "What about winter?". That's your follow-up surface area.

2. Voice-friendly = conversational answers in the first paragraph

A voice assistant will read out the first ~30 words from your page. If your opening is corporate fluff like "Our company was founded in...", voice will skip you entirely. The formula:

• First paragraph = a direct answer in natural language (the way a human would answer)
• Use the query phrasing as an H2: "How do I set up X?" → H2 "How to set up X"
• 1 sentence answer + 2–3 sentences of context

3. GEO: optimizing for citations in LLMs

ChatGPT Search (800M weekly), Gemini (750M monthly), Perplexity, and Claude read the web differently from classic Googlebot. They love:

• Specific numbers with source and year — easier to quote than general statements
• Direct "X is Y because Z" framing — easier to parse
• Numbered lists over bullets — more structured
• Freshness: publish + last-updated dates are critical
• Author byline with real expertise — E-E-A-T

Check: run your top pages through Perplexity and ChatGPT Search on their head queries. Cited? Great. Not cited? Look at who is and reformat to match.

4. Multimodal: Lens turned images into a search channel

Google Lens handles 12+ billion queries a month, especially among Gen Z who shop via the camera, not the keyboard. What to do:

• Every image gets a meaningful alt and filename (not IMG_4928.jpg)
• schema.org/ImageObject with description and author
• High-res images (≥1200px on the long edge) — Lens recognizes them better
• For e-commerce: Product schema + clean photos on white background

5. Brand search — your insurance against AI Overview erosion

AI Overviews erode traffic on generic queries but almost never appear on branded ones. Brand is the one channel where CTR isn't dropping in 2026. Lifehacks:

• Strategically invest in brand awareness (PR, video, podcasts, Reddit)
• In your content, mention your brand alongside the category: "best headphones according to [Brand]"
• Create reasons for users to search "[Brand] review", "[Brand] vs [competitor]" — pure HQ traffic

6. People Also Search For + AI Mode suggestions

Below the main results, Google shows a PASF block (People Also Search For), and AI Mode shows suggested follow-up questions. That's free reconnaissance on adjacent intent:

• Expand 5–7 PAA questions under your topic — that's your sub-intent map
• Cover them as H2/H3 on the same page
• This pattern almost guarantees cluster ranking — one page hits the top for 10–20 related queries

7. Device-specific behavior — write for each

8. Local: "near me" is the new insider position

Local queries are the hottest traffic there is: the person wants a solution nearby and is ready to walk in or call today. How many such visits you get is in your Google Business Profile reports and GA4; comparing your share with someone else's average proves nothing.

Bare minimum: Google Business Profile + a page on your site for each location/service-in-city + LocalBusiness schema. If you have one office but serve a region — build separate landing pages for "service + city" across a tight list of target cities.

Practice: sort your own queries by stage

Five steps, all on your own data:

1. Open the performance report for the last three months and export the queries — all of them, not the first ten.
2. Label each with a stage: orient, research, compare, buy.
3. Check which stages you have pages for. Usually the last one is covered and the first three are not.
4. Take the queries with impressions but almost no clicks and compare their average position with CTR. A low CTR at a good position is either a snippet problem or a sign that the results page answers for you.
5. Sort by impressions and read the bottom of the list — that is your long tail. Find five to ten recurring phrasings and decide which page should own them.

The top pages report shows where the upside sits. The glossary covers the terms: long-tail keyword, keyword research, search intent, SERP.

How to tell you matched the behaviour

Write down three numbers before you change anything: how many distinct queries bring impressions, how many of those bring clicks, and the average CTR across the group. Look at the same three in a month.

Progress looks like this: more queries bringing impressions (you covered new phrasings), a larger share of them bringing clicks, and CTR holding at the same position. If queries grew but clicks did not, you matched the topic but not the way the answer is phrased.

What not to expect: the long tail paying off immediately. Rare queries accumulate over months and have to be judged as a group, not one by one.

What comes next

We have covered how people search. The next lesson is SEO for an online store: how this behaviour turns into a catalogue structure. The previous lesson on query types is here.