AIM Visibility is a GEO consultancy
that measures and grows
your Answer Share.
AIM Visibility is a fractional GEO (Generative Engine Optimisation) consultancy that helps forward-thinking online businesses and healthcare brands achieve all three outcomes of AI visibility: Be Found, Be Cited, Be Chosen – at the exact moment a buying decision is forming.
I work with brands already investing in marketing who recognise that AI search – ChatGPT, Perplexity, Gemini, Google AI Overviews – is now where buying decisions begin. The brands that get there first will be the hardest to displace.
“Most brands are asking how to rank higher.
The better question is: why isn’t AI recommending you?”
Vik – Founder, AIM Visibility
Be Found. Be Cited. Be Chosen.
The three phases of AI visibility.
AI recommendation doesn’t happen by accident. It follows a logic – and understanding that logic is the foundation of everything I do. Here’s what each phase means in practice and why it matters for your business.
Be Found
Entity establishmentBefore AI can recommend your brand, it needs to recognise you as a distinct entity in your category. This means having a clear, consistent definition of what your brand is, what it does, and who it serves – structured in a way AI systems can parse and index.
Most brands fail here not because they’re unknown, but because their signals are inconsistent. Different descriptions across their website, social profiles, and directories create ambiguity. AI systems deprioritise ambiguous entities. Phase 1 is about removing that ambiguity.
Be Cited
Topical authorityOnce AI knows you exist, it needs a reason to surface you in relevant responses. That reason is authority – demonstrated through content that answers the exact questions your buyers are asking, structured to match how AI systems retrieve and present information.
Citation means appearing in AI responses. It’s a meaningful step and often where clients start seeing early wins – but it’s not the destination. Being cited alongside five competitors in a list is very different from being the recommended answer. Phase 2 builds the topical foundation that makes Phase 3 possible.
Be Chosen
AI recommendationRecommendation is when AI names your brand specifically – not as one of several options, but as the answer. This happens when your entity signals, topical authority, and third-party validation reach a threshold that makes you the most credible answer in your category.
Phase 3 is where Answer Share converts into pipeline. Buyers who receive an AI recommendation act on it with significantly higher intent than those who receive a list. Being chosen by AI is the commercial objective behind everything in the methodology.
What is Answer Share – and
why does it matter?
Most GEO strategies track outputs – content published, links built, schema added. Answer Share tracks the outcome: how often your brand is the recommended answer when a buyer asks AI who to hire in your category. It is the only metric that tells you whether the work is converting – not just whether activity happened. I run it across four platforms, against a consistent set of commercial prompts, every month. That gives you a reliable trend line you can actually act on.
The three phases Answer Share tracks
How it’s measured
Every audit runs a defined set of commercial prompts across all four platforms – the same prompts a buyer in your category would realistically type. Each response is logged, scored, and classified: was your brand found, cited, or chosen?
The same prompt set runs every month. That gives you a reliable trend line even in a variable environment – not a snapshot, but a direction of travel with numbers behind it.
The process behind
every engagement.
Every engagement follows the same four-phase process. The phases do not change – the scale and speed depend on the service.
Measure – Answer Share Audit
Before any work starts, I establish a dated baseline. I run 50-200 commercial prompts across ChatGPT, Perplexity, Gemini, and Google AI Overviews – recording exactly where your brand appears, where competitors are recommended instead, and what your current Answer Share is across each platform. This is the number everything is measured against.
Prioritise – Gap Analysis and Action Plan
The Audit data tells us which phase you are in across Be Found, Be Cited, and Be Chosen. I use this to build a prioritised action plan – ranked by expected Answer Share impact, not by effort or convention. The highest-leverage moves come first. You see the full plan before any build work begins.
Build – Entity, Content, Authority
The build targets all three phases in the right sequence. Entity signals come first – AI systems need to recognise and understand your brand clearly before they will recommend it. Content architecture and schema markup follow, all engineered backwards from the commercial queries identified in the Audit. Third-party authority building runs in parallel to reinforce citation signals.
Track – Monthly Answer Share Reporting
Every month, I re-run the same prompt set against the same platforms and record the updated Answer Share. You see the exact movement – by platform, by query cluster, by competitor. Not a content delivery report. Not impressions or rankings. The actual number that tells you whether the work is converting.
12 years in SEO.
Built for what comes next.
I spent 12 years ranking product and affiliate sites – the kind of SEO where the work either converts or it doesn’t. No vanity metrics. Just rankings, traffic, and whether the strategy was actually moving revenue.
That background shaped how I think about AI visibility: not as a content exercise, but as a measurable performance problem. When AI search began reshaping where buying decisions start – with ChatGPT, Perplexity, and Gemini becoming the first stop before a website visit – I built AIM Visibility around a methodology that measures the outcome directly, not the activity.
- → 12 years in SEO and digital performance marketing
- → Specialist focus on GEO and AI search visibility since 2023
- → Works with healthcare brands and specialist businesses