ASK-Media-Solutions

Findability, search and AI

Search engine optimization is often presented as a trick, a checklist or something that can be added to a website afterwards. In practice, findability starts much earlier: with clear text, understandable structure, useful page titles, honest metadata, meaningful links, accessible markup and pages that describe what they are actually about.

The aim is not to hide the process behind vague SEO promises, but to make search interpretation visible. Page titles, snippets, metadata, links, headings and repeated wording all influence how a website is read by search engines and AI systems, and how it may be summarised elsewhere.

What SEO is, and what it is not

SEO stands for Search Engine Optimization. It covers changes that help search engines understand, index and present a website better. That can include page titles, descriptions, headings, link text, image descriptions, structured content, technical performance, mobile usability and accessibility.

Good SEO is not the same as repeating keywords as often as possible. Search engines do not work by simply counting one magic word. They look at combinations of words, page context, structure, links, usefulness, technical quality and the relationship between the search question and the page. Often the best improvement is not adding more keywords, but rewriting text so that the right words appear naturally next to each other in the right place.

Writing for people and search engines

Findability depends strongly on the words people actually use. A website may describe the right work, product, project or organisation, but still be hard to find because the wording does not match the language used by visitors. Sometimes a page focuses on a formal term while people search for a practical problem. Sometimes a text uses internal language that makes sense to the organisation, but not to outsiders.

Part of the work is looking at the text together. Which words describe the subject clearly? Which terms are too broad, too competitive or too misleading? Which combinations of words belong near each other? Which questions should the page answer? What should be in a heading, what belongs in the normal text, and what should not be forced into the page at all?

Metadata and snippets

Metadata helps describe a page, but it is not magic. A page title, description and keywords can help clarify what a page is about, but search engines may still choose their own snippet when another part of the page better matches a search query. Metadata works best when it accurately supports the visible page content.

We explain what metadata can and cannot do, how titles and descriptions are shown in search results, why snippets may change, and how page structure, headings and visible text influence the way a page is understood.

How AI systems read pages

Search is no longer only about traditional search engines. AI systems and large language models may summarize pages, compare sources, infer relationships and sometimes make mistakes when the public signals are unclear. A page can be technically correct but still be misread if surrounding pages, snippets, labels or links suggest the wrong framing.

Where relevant, we look at how AI systems may interpret the website. This can include checking whether a page overstates services, hides important context, mixes separate activities, uses ambiguous names, or creates the wrong relationship between a project, organisation, product or activity. The goal is to make public information clearer for people first, and therefore also harder for search engines and AI systems to misread.

Using AI carefully

AI can be useful when working on findability, but it should not replace understanding. It can help compare wording, find unclear sentences, suggest search phrases, summarize pages or reveal how a page might be interpreted. It can also invent facts, overgeneralize, copy commercial patterns, or turn careful project work into a sales narrative.

We use AI as something to inspect and question, not as an authority. The important questions remain: is the text true, is it understandable, does it fit the purpose of the website, does it respect privacy, and does it describe the work without creating the wrong expectations?

Just ASK

Findability work usually starts by looking at the existing website, the audience, the wording, the structure and the technical signals. This may include reading the pages, checking titles and metadata, looking at search snippets, reviewing internal links, running browser and Lighthouse tests, checking performance and accessibility, and comparing how the website is presented by search engines or AI tools.

From there we can work step by step on better titles, clearer descriptions, improved headings, rewritten text, more useful links, better page structure, more accessible markup and clearer public information. For existing websites, this may also involve looking at the CMS, theme, plugins, licences, trackers, analytics, embedded services and privacy consequences.

Good findability is not a one-time setting. It changes when the website changes, when new pages are added, when the audience changes, when search engines change, or when AI systems start interpreting public information in new ways. The aim is to understand these changes well enough to keep the website clear, findable and maintainable over time.