SEO in 2026: How Businesses Stay Discoverable in Google and AI Search

Yes, SEO still matters in 2026. AI Overviews, Google's AI Mode and assistants like ChatGPT search all draw on web pages they can crawl, understand and trust, so the fundamentals of SEO now decide whether a business shows up in AI answers as well as in ordinary results. What has changed is the shape of the work. Ranking a page for one phrase matters less than being the clearest, most credible source on the things your customers actually ask about, with a site structure that makes that obvious.

Does SEO still matter in 2026?

Google's own guidance is direct about this. Its documentation on AI features and your website says there are no additional requirements to appear in AI Overviews or AI Mode, and no special optimisation is needed: a page has to be indexed and eligible to show in Search with a snippet. The work is making the site easy to understand and worth citing.

What changed with AI Overviews and AI-assisted search

Three things are genuinely different from a few years ago.

First, more questions are answered on the results page. A customer asking how a service works, what it costs or how two options compare may get a summarised answer before they see a list of links. Fewer of those simple informational searches turn into clicks.

Second, AI features look wider. Google describes a "query fan-out" approach, where AI Mode and AI Overviews run several related searches across subtopics to build a response. That gives pages covering a specific sub-question a chance to be cited even if they would not rank first for the broad term.

Third, there are more places to be found. ChatGPT search, for example, relies on OpenAI's OAI-SearchBot crawler, and OpenAI's crawler documentation says sites that block it will not appear in ChatGPT search answers. Many businesses have blocked AI crawlers by default, sometimes through a security plugin or CDN setting, without realising what they were opting out of. Whether to allow each crawler is a business decision, but it should be a deliberate one.

What has not changed

Most of what made a site rank still applies, because AI features are built on the same index.

• Pages need to be crawlable and indexable, with clean status codes and no accidental noindex tags.
• Each page needs a clear job: one service, one product category, one question answered properly.
• Content needs to be useful to a person. Google's guidance on helpful, people-first content asks who created it, how, and why, and whether it shows first-hand expertise.
• Links between pages still tell search engines which pages matter and how they relate.
• Search Console is still where you see what Google is doing with the site. Google notes that traffic from AI features is included in the overall Web search figures in the Performance report.

Why clear service architecture matters

The most common problem we see on service business sites is a structure that hides what the business does, far more often than a lack of content. Services are bundled onto one page, sector pages repeat each other, and blog posts compete with the service pages they should be supporting.

A clear architecture gives each service its own page with a specific answer to "what is it, who is it for, what happens next", and uses articles to answer the questions around it. When we rebuilt the FORJ site this year, the Interior Design and Digital capabilities each got their own service pages, and every article was given one primary service to support. Any business can do the same, and it makes the site easier to read for a person, a search engine or an AI system deciding which page answers a question.

Why original examples and case studies matter

AI systems are good at summarising generic advice, which makes generic advice less valuable to publish. What they cannot produce is your own evidence: a project you delivered, a decision you made and why, a photograph of the finished work, a result with its period and context.

Case studies, worked examples and specific opinions are what make a page worth citing. They also help customers. A page that says "we help ecommerce brands grow" tells nobody anything. A page that explains how a brand's paid media account was restructured for a product launch, with what was changed and why, does.

Internal linking and crawlability

Internal links are how a site explains itself. Each article should link to the service it supports, using words that describe the destination, and service pages should link to the articles and projects that back them up. Orphan pages, links that only exist in menus, and anchors like "learn more" all make that harder.

Site migrations are where this most often goes wrong. Google's guidance on site moves with URL changes recommends mapping every old URL to its new equivalent, using server-side permanent redirects, redirecting directly to the final destination rather than through chains, and keeping redirects in place for at least a year. On our own rebuild, every old blog URL was redirected in one hop to its own new article, not to the homepage or a general listing page. Redirecting many old pages to one unrelated page is one of the quickest ways to lose search visibility built up over years.

Authorship, sources and entity consistency

Search engines and AI systems both try to work out who is behind a page. That is easier when:

• articles name a real author with a profile that explains their experience
• facts and figures link to their original sources, with dates
• the business name, address, services and descriptions are consistent across the site, Google Business Profile and other listings
• structured data (Organization, Article, Breadcrumb and so on) matches what is visible on the page, never more

These steps reduce ambiguity, which matters more when a system is summarising your content rather than just listing it.

What we would prioritise before publishing more content

When search visibility has stalled, the instinct is to publish more articles. We would usually check these first:

1. Indexing. Are the important pages indexed? Are any blocked, duplicated or carrying the wrong canonical?
2. Service pages. Does each service have a page that answers what a buyer needs to know, with proof?
3. Cannibalisation. Are several pages competing for the same intent? Merging or refocusing them often helps more than adding a new one.
4. Internal links. Do articles point to the service they support, and do service pages link back?
5. Crawler access. Are search and AI crawlers you want to be found by allowed in robots.txt and at the CDN?
6. Evidence. Are there case studies, real examples and named authors, or is everything general?

Only then would we plan new content, based on the questions customers ask and the queries Search Console shows the site is already close to ranking for. If enquiries are the goal, our article on generating more qualified leads online covers how search fits with paid media, landing pages and follow-up.

How to measure whether the work is helping

Rankings for a handful of phrases are a weak measure on their own. More useful signals are:

• impressions and clicks in Search Console for non-brand queries, by page and by service
• the number of pages receiving impressions, which shows whether more of the site is being surfaced
• enquiries or sales from organic search, tracked properly in analytics
• whether the queries a page appears for match the job it was written to do

Expect some informational queries to bring fewer clicks as AI answers absorb them, and judge the work on whether qualified traffic and enquiries for your services are moving.

If search visibility has changed or you're planning a site migration, send us the site and the services that matter most. Our SEO work starts with how the site is structured and what it is trying to rank for, and where the structure itself is the problem, it becomes a website design question.