Glossary

Three-Engine AVS Stack

The Three-Engine AVS Stack is the deliberate set of engines K&C measures, ChatGPT, Google AI Overviews and Perplexity, chosen as the three that actually shape buying decisions.

The Three-Engine AVS Stack is the set of AI engines K&C measures: ChatGPT, Google AI Overviews and Perplexity. We chose these three because they are where real buyers ask real questions, not because three is a tidy number. Measuring five or six engines adds noise from tools few people use for decisions, and dilutes focus on the answers that change outcomes.

Why it matters

Why it matters

It is tempting to think more engines mean a more complete picture. In practice the opposite is true. Most AI assistants draw on the same handful of underlying models and sources, so adding obscure tools mostly adds repetition and noise, not insight. What you want is coverage of the engines where buying decisions are actually formed.

Those three are clear. ChatGPT is used by 900 million people every week (OpenAI, December 2025), making it the default assistant for a vast audience. Google AI Overviews now appear on the majority of searches, so they reach buyers inside the search habit they already have. Perplexity is the engine of choice for research-minded users who want cited, source-led answers, which is exactly the moment a considered purchase is shaped.

Together these three cover the breadth of how people meet AI answers: the conversational default, the search-embedded answer, and the research tool. Each draws on different sources and behaves differently, so measuring all three gives genuine spread. Adding a fourth or fifth rarely changes the conclusion, but it does spread effort thinner.

How K&C uses Three-Engine AVS Stack

How K&C uses the Three-Engine AVS Stack

The stack is the spine of our methodology. We run every buyer question through ChatGPT, Google AI Overviews and Perplexity, separately, because your visibility can be strong in one and weak in another. Collapsing them into a single average would hide exactly the gaps a client needs to fix.

Each engine feeds the AI Visibility Score, our 0 to 100 measure built across a twelve-pillar framework and three dimensions. Where one engine consistently overlooks you, that is a precise, actionable signal: it points to which sources to strengthen and which part of your narrative to sharpen for that engine in particular.

Keeping the stack to three keeps the work honest and focused. We would rather measure the engines that move decisions deeply and repeatedly than measure many engines shallowly. To see how the three treat your brand today, the Exec Brief is free, and ongoing cadences are bespoke priced.

The stack is also designed to stay current. As the AI landscape shifts and new tools earn real buyer attention, we review which engines belong in the three. The principle does not change: measure where decisions are actually made, not where a longer list would look impressive. Three is a deliberate choice about where to be rigorous, and it is one we revisit rather than assume. Be Known. Be Cited.

Frequently asked questions

Why only three engines and not five or six?
Because three is where buying decisions are made. ChatGPT, Google AI Overviews and Perplexity cover the conversational default, search-embedded answers and research-led answers. Adding obscure tools mostly adds noise and rarely changes the conclusion.
Why measure each engine separately?
Each engine draws on different sources and behaves differently, so your visibility can be strong in one and weak in another. Measuring them separately reveals the specific gaps that an averaged score would hide.
Which of the three matters most?
It depends on your buyers. ChatGPT has the widest weekly reach, AI Overviews meet people inside Google search, and Perplexity captures research-minded buyers. K&C weighs all three within your AI Visibility Score.

Related terms

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Be Known. Be Cited.