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 structured queries across ChatGPT, Google AI and Perplexity, scored against a consistent framework that lets us track meaningful change over time. Each paid AVS report runs 6,300+ data points.

Complex businesses — multiple product lines, multi-market operations, or deeper diagnostic needs — are scoped bespoke. 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 multiple AI platforms. We don't take a one-off snapshot. We run structured research waves: daily tracking over seven days per report, because that's what the data shows you need for meaningful results. We analyse every response and place your business in one of four measurable bands, with Known and Cited as the named end goal.

The four AVS bands

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

• Ghost (0–20): Effectively invisible in AI answers. A buyer asking the seed question would not learn your brand exists from the engines' answer.
• Visible (21–40): Surfacing, but inconsistently. In the conversation in some form. Cited rarely, or via weak sources, or framed as a fallback. Enough to register. Not enough to win.
• Emerging (41–60): Real signal, real momentum. Cited regularly enough to count. Not yet a default answer.
• Cited (61–100): The AI engines name your brand as a category answer. Buyers asking the seed question are routinely shown the brand. There is daylight inside the band: 65 is "you've made it into the answer", 85 is "you're the answer", 95+ is reserved for genuine ubiquity.

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

The end goal: Known and Cited

Known and Cited is the K&C standard. It is not a fifth band. It is the recognition we give to brands that have not just achieved high citation density, but sustained authoritative surfacing across the field over multiple measurement cycles.

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

• Composite score 90 or above.
• 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.
• Sustained across at least 2 consecutive full measurement cycles (Annual, Bi-Annual or Quarterly) on the same methodology version. Flash / Exec Brief cycles do not count.

The four bands describe where you are. Known and Cited describes what you are working toward. 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:

How we use Authoritas

We use Authoritas — a measurement platform that enables structured query collection across multiple AI engines simultaneously, with support for localised queries in any language. Authoritas provides the data infrastructure; we provide the methodology, analysis, and strategic interpretation. You can learn more at authoritas.com.

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 are released. 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. You can catch emerging trends, competitive movements, and the impact of your own content efforts far more effectively with quarterly tracking.

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. Focus. Measure. Plan. Deliver. Repeat.

As standard, every AVS measures ChatGPT, Google AI Overviews / AI Mode, and Perplexity — the three major AI platforms that expose measurable search-like surfaces. Other engines (Claude, Gemini, Copilot) can be added on request, scoped case by case.