AI Visibility Resource Library

Many AI-powered search and answer engines no longer just produce text — they show their work. Alongside an answer, they include references, citations or source attributions that point to the websites, articles and organisations the AI used to build its response. Open ChatGPT with browsing, Gemini, Claude, Perplexity or Copilot and you will see this pattern repeatedly: a clear answer, supported by a list of sources.

Those citations do more than decorate the response. They shape:

The way people discover information online is changing. For more than two decades, the dominant model was straightforward: type a question into a search engine, scan a list of blue links, and click through to find the answer. That habit shaped how businesses thought about being found online. It led to the rise of search engine optimisation, content marketing built around keywords, and an entire industry focused on earning higher rankings in results pages.

That model is now shifting. Increasingly, people skip the list of links altogether and ask an AI system directly. Instead of "best CRM software for small business" typed into a search box, they ask ChatGPT, Gemini, Claude, Perplexity or Copilot for a recommendation in plain language. The AI replies with a summary, a comparison, or a short list of suggestions. The user often acts on that answer without ever visiting a traditional search results page.

The phrase "AI SEO" is used in several different ways, which can make comparing platforms difficult.

In some cases, AI SEO refers to using artificial intelligence to improve traditional search engine optimisation activities such as content creation, keyword research and technical optimisation.

Getting cited by an AI assistant is not about tricking a system. It is about making your content the most trustworthy, precise, and accessible answer available for a given question. AI models do not browse the web live for every query; they rely on training data, retrieval-augmented search, and real-time browsing to select sources.

To increase your chances of being cited, focus on becoming the best answer for a well-defined topic cluster. Specificity wins over breadth. An in-depth guide to "cold email deliverability for B2B SaaS" is far more likely to be cited than a generic "email marketing tips" article.

Search Engine Optimization (SEO) and Answer Engine Optimization (AEO) are related but distinct disciplines. SEO is about ranking on a search results page. AEO is about being chosen as the source an AI assistant quotes in its direct answer.

In SEO, success looks like position one on Google. In AEO, success looks like a citation in a ChatGPT, Perplexity, Gemini, or Claude response. The user may never visit the search results page at all — the AI answers their question directly and names your site as the source.

A probe, in the context of Answer Engine Optimization, is a test signal that an AI system uses to evaluate whether a piece of content is accurate, relevant, and safe to cite. Think of it as an invisible quality check that happens before your page is ever quoted in an answer.

Probes can be explicit — such as fact-checking against known knowledge bases — or implicit, like cross-referencing multiple sources to see if your claim is corroborated. AI assistants do not simply retrieve the first matching page; they probe candidate sources for consistency, recency, and depth.

In Answer Engine Optimization, authority is the perceived trustworthiness and expertise of a source — as judged by an AI assistant rather than a search engine algorithm. When ChatGPT, Perplexity, or Gemini cites your content, it is making a trust decision in real time.

Authority in this context is not a single score like Domain Authority. It is a composite signal drawn from citation patterns, source diversity, content freshness, and how clearly your expertise is demonstrated within the page itself.

llms.txt is a proposed convention for giving AI assistants a curated, human-written map of your site's most important content. Think of it as a sitemap, but written for an LLM that needs context, not a crawler that needs URLs.

It is not (yet) a way to block or grant access — that is what robots.txt and per-bot user-agent rules are for. Instead, llms.txt is a hint: "if you're going to summarize this site, start here."

Answer Engine Optimization (AEO) is the practice of making your site readable, trustworthy, and citable by AI assistants like ChatGPT, Gemini, Perplexity, Claude, and DeepSeek.

Unlike classic SEO — which optimizes for a ranked list of blue links — AEO optimizes for being chosen as the source the assistant quotes in its answer. The economics are different: one citation in an AI answer can be worth dozens of organic clicks because it arrives at the moment the user is deciding.

AI search has changed how people find businesses. Instead of scrolling through ten blue links, more and more buyers are asking ChatGPT, Google's AI Overviews, Perplexity, Claude, and Gemini for a direct answer — and the brands that get named in those answers win the conversation.

That shift has created a new category of software: AI visibility tools. The category is young, the labels are inconsistent, and the platforms inside it do very different things. Some focus on tracking. Some focus on prompts. Some focus on technical readiness. A few — SeenAndCited included — focus on the full lifecycle of becoming visible, staying visible, and improving over time.