Focus. Measure. Plan. Deliver. Repeat.

What is AI Visibility Strategy?

AI Visibility Strategy (AVS) is our end-to-end approach to understanding and improving how AI platforms cite and recommend your business. We don't just measure – we build the strategy to improve it, with the content, PR, and media coverage that AI actually draws from.

At the heart of every paid AVS report is a visibility score out of 100, backed by a 12-pillar breakdown, competitor benchmarking and concrete recommendations. You can see what's driving the number and what to do about it. Reports are built from a tailored set of 300 questions run across three AI engines (ChatGPT, Google AIO, Perplexity) over seven days – that's 6,300 data points per Annual report, and 25,200 per year on AVS Quarterly. This is a real measurement product, not a 25-prompt tool.

Want to try before you buy? The free AVS Exec Brief runs the same 300 questions across the same three engines over one day – roughly 1,000 data points – in exchange for a 20-minute call to walk you through what we found. Start an Exec Brief →

Complex businesses – multiple product lines, multi-market operations, or deeper diagnostic needs – are scoped bespoke and priced case by case. Get in touch.

How is AI visibility measured?

We design a tailored set of queries across your sector, in any market and any language, and run them across our three-engine AVS stack: ChatGPT, Google AIO and Perplexity. The stack was locked on 3 May 2026 after the v1.1 methodology review. Claude can be added on request for clients whose buyers research there specifically; that's the only extension we offer as standard.

We don't take a one-off snapshot. We run structured research waves: daily tracking over seven days per paid report, because that's what the data shows you need for meaningful results. We analyse every response and place your business in one of five measurable bands, from Ghost at the bottom to Known and Cited at the top.

The five AVS bands

Every business falls into one of five bands based on their composite AVS score:

• Ghost (0–10): Effectively invisible in AI answers. A buyer asking the seed question would not learn your brand exists from the engines' answer.
• Whisper (11–30): A trace. The engines occasionally surface you, but only at the edges of the category, with weak or scattered sourcing. Enough to register a heartbeat, not enough to count.
• Emerging (31–50): Real signal, real momentum. Cited regularly enough to count. Not yet a default answer.
• Cited (51–75): The AI engines name your brand as a category answer. Buyers asking the seed question are routinely shown the brand. 55 is "in the answer", 70 is "a top-of-list answer".
• Known and Cited (76–100): The default answer in your category. The engines surface you first, consistently, with strong sourcing. 90+ is reserved for genuine category ubiquity.

Your AVS score is benchmarked against competitors in your sector. The five bands describe where you are today. They move with the score, in either direction, at each measurement cycle.

The end goal: K&C Known and Cited recognition

Reaching the Known and Cited band is one thing. Sustaining it is the K&C standard.

A brand qualifies for K&C Known and Cited honorary recognition when all of the following are true:

• Sustained in the Known and Cited band (76+ composite) across at least 2 consecutive full measurement cycles (Annual, Bi-Annual or Quarterly) on the same methodology version. Exec Brief cycles do not count.
• Tier 1 / Tier 2 citation share of 25% or more (a quarter or more of citations come from peer-reviewed, regulatory, government, professional-body, or established trade-press sources).
• Narrative Fit sub-score of 75 or above.
• AI Visibility sub-score of 75 or above.

The five bands describe where you are. The K&C recognition describes what you have sustained. The mantra "Be Known. Be Cited." is the journey between them.

What are the 12 citation pillars?

The 12 Key Factor Pillars are the categories we test across on every paid AVS report (Annual, Bi-Annual and Quarterly). They're designed to cover every dimension of how AI models evaluate and cite brands in your sector. Each pillar is customised to your specific industry – a SaaS platform gets different questions than a hotel chain or a financial services firm.

These pillars provide a comprehensive framework, but they may be adapted depending on the specific business's market, sector, and competitive landscape. Not every pillar carries equal weight for every business – and that's by design.

The three AVS dimensions

Your overall AI Visibility Strategy is built from three equal dimensions, each contributing 30-40% to the final number:

The tech behind the measurement

Data collection runs on an enterprise measurement platform supplied by our tech partner – structured query collection across multiple AI engines simultaneously, with support for localised queries in any market and any language. The platform provides the data infrastructure; K&C provides the methodology, the analysis, the strategic interpretation, and the human review on every brief.

How often should you audit AI visibility?

Quarterly is our recommended minimum. AI platforms change constantly – models update, training data shifts, competitor content changes, and new features ship. A single audit is a photograph; quarterly re-measurement turns it into a video. The real value is the longitudinal data: seeing what's shifting over time and whether your actions are working.

We offer a frequency model, not a feature ladder. Same methodology, same engine stack, same 12-pillar scoring on every cadence – what changes is how often we re-run it:

• AVS Annual. One full measurement cycle per year. The baseline. 6,300 data points.
• AVS Bi-Annual. Two cycles per year. The full 12-pillar strategic plan delivered on each cycle. 12,600 data points per year.
• AVS Quarterly. Four cycles per year. Multi-market scope with localised recommendations per market. 25,200 data points per year. The cadence that actually moves the score.

The free AVS Exec Brief sits below all three as the entry point – same engines, same scoring framework, single day, in exchange for a 20-minute call.

Pricing tailored to scope and frequency. Get in touch.

Is this a solved science?

No – and anyone who says it is, is overselling. GEO is a new discipline. LLM mechanisms are opaque and changing fast. What we offer is structured measurement, informed recommendations, and ongoing tracking. We're confident about our methodology, not about guaranteed results. Be Known. Be Cited.

As standard, every AVS measures ChatGPT, Google AIO and Perplexity – the three engines that cover roughly 95% of buyer-side AI search in the UK today. Stack locked 3 May 2026 (methodology v1.1). Claude can be added on request where a client's buyers research there specifically.