Don't chase AI mentions.
Become the source AI can find.

Findability

Can AI and Search actually find the information?

This is more than technical SEO. We evaluate the entire retrieval surface of a brand, the sum of everything an AI system can reach and read when it goes looking for an answer in your category. Google has confirmed that AI Overviews and AI Mode are grounded in the same Search index and the same eligibility rules as classic Search. If you are not in that index, you cannot be in the answer.

The Findability audit covers crawlability, indexability, internal linking, information architecture, search-intent coverage, site rendering, structured data, text accessibility, image and video discoverability, local and product data where relevant, Search Console visibility, and AI-search eligibility.

Findability is the floor. It is necessary and it is not sufficient. Plenty of perfectly crawlable sites are never cited, because being present is not the same as being worth choosing. That is what the next four pillars decide.

In practice, the Findability audit looks for the failures that quietly keep you out of the answer set: pages blocked by robots rules or noindex tags, content that only renders after JavaScript an AI crawler may not execute, thin internal linking that strands important pages, information architecture that buries your best material five clicks deep, and intent gaps where the questions your buyers actually ask have no matching page at all. Each of these is invisible in a normal marketing review and decisive in whether an engine can reach you.

Originality

Why would an AI system need your information?

This is the intellectual heart of the framework. Most websites contain information that everyone else already has, the same definitions, the same summaries, the same commodity advice rephrased. An AI model has read a thousand versions of it. It has no reason to reach for yours.

Originality asks a sharper question: what information exists because you exist? Proprietary research. Original statistics. Experiments and benchmarks. First-hand customer data. Expert opinions and first-hand observations. Original methodology. Product testing. Unique case studies. Documented failures and the lessons from them. Proprietary tools, calculators, and datasets. Original images and video. Google's May 2026 generative-AI guidance explicitly rewards valuable, unique, non-commodity content, so we make Originality a first-class pillar rather than folding it into a vague notion of "quality."

Originality is also the hardest pillar to fake, which is precisely why it is so valuable. Anyone can rewrite a definition. Almost no one can publish the results of a study they actually ran, the numbers from clients they actually served, or the honest account of an approach that failed and what replaced it. When an AI model encounters information that appears in exactly one place, attributed to a credible source, it has a strong reason to reach for it, because there is no commodity alternative. The strategic move is therefore to inventory what your organization uniquely knows and to publish it deliberately, rather than producing yet another summary of what is already common knowledge.

Understanding

Does the machine understand what you are talking about?

AI does not need keywords. It needs to understand entities, context, and semantic relationships. Who are you? What do you do? What do you sell? Who are you relevant to? What problems do you solve? What topics are you authoritative about? Which people, products, and organizations are connected to you?

We answer this by building an Entity and Context Layer that reads like a clear factual statement of identity, for example: a cybersecurity company specializing in XDR for mid-market enterprises, expert in ransomware detection, founded by a named person, serving named industries, with named research. Then we connect the graph:

This is much deeper than "add Organization schema." Schema helps Search understand content, but Google is clear that no special schema is required for AI Overviews or AI Mode. Understanding is semantic clarity, the words on the page unambiguously establishing who you are, not schema stuffing.

The failure mode here is ambiguity. When a site describes itself in vague marketing language, "we deliver transformative solutions for forward-thinking partners", a model has nothing concrete to attach to your entity. It cannot tell what you sell, who you serve, or what you are authoritative about, so it declines to represent you at all. The fix is unglamorous and powerful: say plainly what you are, name your specialisms, name the problems you solve, and connect yourself explicitly to the people, products, and topics that define you. Clarity is a ranking-adjacent asset in the age of retrieval.

Networked Authority

Does the world independently reinforce what you say?

Your website can claim expertise all day. AI systems operate in a much larger information environment and weigh what others say about you. So we map authority across four layers.

The objective is not "get backlinks." It is to create independent corroboration of your expertise and identity. Google acknowledges that generative Search can surface information from across the web, including blogs, videos and forums, while warning that inauthentic, manufactured mentions are not a legitimate strategy. So the metric that matters is not volume but independence.

Demonstrability

Can you prove that you are worth trusting?

This is the pillar that turns a well-structured site into a citation-worthy one. The shift is from assertion to evidence. Not "we are the leading agency," but "here is the research." Not "our methodology works," but "here are 47 implementations." Not "our software is faster," but "here is the benchmark." Not "our founder is an expert," but "here are their publications, research, interviews and documented experience."

Every important claim should carry a chain: claim, then evidence, then methodology, then context, then source. That produces content an AI can quote without risk, which is exactly what it prefers to cite. The goal is not merely to be mentioned. It is to become a defensible source of information.