How to improve a website's SEO and grow organic traffic?

Every site that depends on search now lives with a new question: what happens when the search engine answers before sending the visitor to the page?

The short answer is that the visit became more expensive and more selective. The click that is left over goes to whoever the search engine treats as a source, not to whoever merely occupies a line in the list.

Knowing how to improve a site SEO stopped being only a matter of position in the results. The dispute today also includes being cited inside the answer that Artificial Intelligence (AI) assembles before the list of links.

The foundation of Search Engine Optimization (SEO) has not moved. What changed is the layer above it, where the answer reaches the user before any click happens.

Why does improving a site SEO still pay off?

Improving a site SEO still pays off because organic search remains the single largest source of trackable visits. The BrightEdge study that became an industry reference, published in 2019, attributed 53% of trackable site traffic to organic search and 15% to paid search.

Caption: Knowing how to improve a site SEO today means competing for the ranking position and for the citation inside the AI answer.

A team reviewing page performance in the search dashboard: knowing how to improve a site SEO starts with understanding where each visit comes from.

One number from that same study has circulated distorted for years. Adding 53% to 15% gives 68%, and that 68% became, across dozens of articles, the claim that online experiences begin on a search engine.

The survey measured the origin of trackable site traffic, which is a different thing altogether. An online experience includes apps, social networks, email and messaging, and none of that entered the count.

The difference is not editorial fussiness. A team that plans its digital marketing strategy on an inflated number overestimates the channel's return and cuts the budget when the real result lands below the promise.

There is also a question of timing. Paid media delivers visits on the day the card is charged, while organic results take months to appear and keep paying off after production stops.

That asymmetry explains why content marketing and optimization usually travel together. Content is the asset that ranks, and optimization is what makes that asset findable.

For a higher education institution (HEI), the effect shows up directly in student recruitment. Someone searching for a course syllabus or an institution's quality rating sits a few steps from the decision, and the page that answers that question starts generating qualified traffic with no cost per click.

What has changed in Google Search with AI search?

Google Search started answering inside the results page itself. Between January and April 2026, 68.01% of Google searches made in the United States ended without a single click, according to a SparkToro study built on Similarweb clickstream data.

In 2024 that figure stood at 60.45%, and in 2019 SparkToro itself measured 49%. The study's base is the US market, but the slope of the curve is the warning that matters to any site that depends on search.

Two features explain much of the change. AI Overviews assembles an AI-generated summary above the list of links, and AI Mode opens a conversation in which the user refines the question without leaving the search engine.

That replaces the old question. Instead of only checking whether the site sits on the first page, the team starts checking whether it is cited as a source inside the generated answer.

This layer earned names of its own in the market. GEO, short for Generative Engine Optimization, and AEO, for Answer Engine Optimization, describe optimizing to appear in an answer produced by a Large Language Model (LLM), the kind of model behind AI assistants.

The good news is that there is no parallel discipline to learn from scratch. Google states that AI features in Search use the same index and the same ranking systems as traditional search, with no additional technical requirement.

The adjustment is one of emphasis, not of fundamentals, and SEO strategies in the AI era start from that same familiar base.

Anyone who needs to understand how Google's AI is affecting organic traffic will find the breakdown by page type there, because informational and transactional content lose clicks at different speeds.

The two layers reward similar things, though not identical ones. Here is how that sorts out by optimization front:

Table: How each layer of search tends to reward each optimization front. Editorial curation by mkt4edu, not a third-party official standard.

No row in that comparison asks you to drop the previous column. The right-hand column is an addition to the left one, and a site with a weak technical base gets cited by no assistant at all.

When an institution needs to handle that layer with method, the work of optimizing for AI search begins by mapping which questions in the niche already return a generated answer at the top.

Which on-page SEO techniques does a site need?

Four on-page techniques hold up any page: understanding search intent, choosing the right keyword, applying it in the fields the search engine reads, and writing the meta description that justifies the click. None of them lost validity when AI arrived in search.

How to identify the user's search intent?

Search intent splits into three main types. Informational describes someone who wants to learn, navigational describes someone looking for a specific destination, and transactional describes someone ready to hire or to buy.

The cheapest test is to look at the results page for the term itself. If Google returns explanatory articles, the intent is informational, and a sales page will hardly rank there no matter how well optimized it is.

How to do keyword research for a site?

Keyword research starts with the questions the sales team already hears every day. Those questions tend to be long-tail terms, with less volume and far more chance of conversion than the generic term of the sector.

Next comes the cannibalization check inside your own domain. Two pages competing for the same term split signal and authority, and the usual outcome is that neither of them rises.

Where to apply the keyword inside the page?

The main keyword goes in the title, in the URL, in the H1, in at least one subheading and in the first hundred words of the text. The alternative text of images counts too, and it serves accessibility before it serves the search engine.

Repeating the term beyond that point adds nothing. High keyword density is inert or harmful in AI search, which evaluates the meaning of the passage instead of counting occurrences.

What to write in the meta description to win the click?

The meta description is the short text shown below the title in the search result. It is not a direct ranking factor, but it decides much of the click-through rate (CTR), which is the interest signal the search engine observes.

Write the concrete promise of the page there, with the keyword present naturally. In roughly 150 characters, there is room to say what the reader finds.

These four fields enter the review of every new page, and the on-page optimization checklist from SEO training covers the full sequence.

Caption: Six applied tips on how to improve a site SEO, from keyword research to page structure. Video in Brazilian Portuguese.

How to create content that Google and LLMs cite?

Citable content depends on three combined moves: delivering the answer in the first sentence of each section, citing named sources, and using verifiable statistics with a date attached. Academic research and industry studies converge on these three tactics as the ones with the largest effect on AI citation.

The first move is front-loading the answer. AI systems retrieve passages instead of whole pages, so a paragraph that only delivers its point at the end arrives chopped up or does not arrive at all.

The second is the named source. Writing "according to SparkToro, with Similarweb clickstream data" is worth more than "recent studies indicate", because the model can attribute the information to someone verifiable.

The third is the statistic with an explicit scope. A number with no year, no country and no methodology is the kind of data that turns into distortion the moment someone repeats it outside its original context. A quote from a named expert does similar work in opinion pieces.

None of this replaces the real usefulness of the text. Google's guidance on creating helpful, people-first content remains the criterion that decides what survives each core algorithm update.

Real audience questions work well as subheadings. The People Also Ask box in Google Search is a free map of how the public phrases a doubt, and each question there becomes an H2 or a FAQ item.

Writing with the support of a generative model is accepted, as long as the result carries information of its own. The risk sits in thin text produced at scale, and how to create content with AI deals precisely with where human review belongs in that flow.

How do hyperlinks and backlinks build site authority?

Hyperlinks build authority in two ways. Internal links distribute relevance among the pages of your own domain and guide the crawler, while backlinks from external sites work as a third-party recommendation and remain among the strongest trust signals a search engine reads.

The internal link settles the dispute inside the house. It tells the search engine which page of the domain is the main one on a topic, and the anchor that names the subject is what carries that context.

The backlink, in turn, depends on an editorial reason. Content with proprietary data, original research or a genuinely useful tool attracts spontaneous citation, which is the only kind of link that sustains position over the long run.

There is also a newer effect, tied to AI search. A brand mention in trusted sources, even with no clickable link, helps the model recognize the entity and associate it with the topic, so press relations and presence in sector listings regained optimization value.

Does user experience improve a site SEO?

User experience (UX) improves a site SEO as hygiene, not as the main lever. A page that is slow, unstable or hard to use on a phone pushes conversion down and abandonment up, yet no performance fix compensates for content that fails to answer the question.

Core Web Vitals are the set of metrics Google publishes to measure that experience: the time until the main content appears, visual stability during loading, and responsiveness to the first interaction.

On mobile the bar sits higher, because most access happens there. An unstable connection, a small screen and a hurry turn any loading delay into immediate abandonment.

Three fixes solve most cases: compressing images, cutting third-party scripts and enabling caching on the server, all of it inside the technology team's routine.

Reading what user experience means for SEO helps separate what is design perception from what is a metric the search engine can actually observe.

How often should you update and audit site SEO?

Published content needs periodic review, and the technical audit of the site asks for a cycle of its own. The most common practice in the market is to review the highest-traffic content every six to twelve months and to run the full technical audit once per semester.

Updating pays off more than new publishing in a good share of content marketing programs. An article that already carries history and earned links climbs with fresh data and a corrected structure, while a brand-new text starts the dispute from zero.

The technical audit covers what the reader never sees. Crawl errors, orphan pages, redirect chains, duplicate content, repeated titles and pages with no meta description all surface in the same report.

The starting point is the URL inventory of the domain. Understanding how search engine optimization works across an entire site keeps you from optimizing loose pages while the architecture stays confusing.

Caption: An on-page SEO checklist applied step by step, from the title tag to the alternative text of images. Video in Brazilian Portuguese.

Which SEO tools show whether the strategy worked?

Two SEO tools are enough to start: Google Search Console, which delivers data straight from the search engine about your own property, and a competitive analysis platform to compare position and term coverage. Everything else is refinement on top of those two.

Search Console shows four numbers per query and per page. Impressions, clicks, click-through rate and average position together tell a story that none of them tells alone.

The cross-reading is what reveals the effect of AI search. Impressions rising with clicks flat indicates that the page does appear, but the answer is being resolved before the click.

When that happens, the reaction is not to give up on the term. The path is to rewrite the section so that the cited answer carries the brand and leaves an open question only the full page resolves.

Measuring citation inside AI answers is still manual work. Run the ten core questions of the business through the main assistants once a month and record who was cited in each one.

Pick few key performance indicators (KPIs) and keep the same ones for at least two quarters. Changing the metric at every meeting prevents the comparison that would show whether the effort to grow organic traffic worked.

Frequently asked questions about how to improve a site SEO

What to prioritize first to improve a site SEO?

Prioritize in the order of what already has traction. Pages that collect impressions and no clicks are the cheapest stock of gain available, because they already convinced the search engine that they are relevant and lost only on presentation.

Then attack the answer structure of your main content. Rewriting the first paragraph of each section to deliver the complete information costs a few hours per article and is the fix that brings the text closest to being cited in a generated answer.

Only then move to new production. Creating fresh content before fixing what already exists means investing in the slow part of the cycle while the fast part sits idle.

The technical base runs in parallel, with the technology team. Speed, crawling and mobile responsiveness do not compete for agenda with the writing, and the two fronts together shorten the time to the first result.

None of this works in isolation from the institution's digital marketing strategy. Organic results belong in the same dashboard as paid media, and comparing channels is what shows which one will generate traffic at a decreasing cost.

Keep one simple rule so you do not lose your way. If a fix makes life better for the person reading, it almost always improves performance in Google Search as well, and the reverse is not true.

If your site already has published content and you still cannot say which pages lost clicks in the last six months, the problem sits in the diagnosis rather than in the production. The mkt4edu team can map where your organic traffic is leaking and point out what to fix first.