AI Visibility Audit
ALUNO analyses how AI systems discover, understand, and recommend brands—then identifies what is preventing yours from being selected.
A specialist reviews every audit personally — no automated score.
A specialist-led diagnostic. No automated score and no promise of rankings or recommendations.
The behaviour shift
Your customers are asking different interfaces. The shortlist is getting shorter.
What are the best cybersecurity consultancies for a mid-market company?
Illustrative AI-search response. It is not a client result.
The evidence
Consumers are increasingly turning to AI to research, compare, validate, and decide. The shift is still developing, but the behavior is already measurable across large-scale studies.
01 / Preference
Many consumers already prefer GenAI product recommendations to traditional search—and a substantial share say they are prepared to act on them.
12,000 consumers · 12 countries
Capgemini Research Institute · 2025The ALUNO visibility model
It is a structured reading of how a brand can be found, understood, evidenced, and selected.
01
Can systems access the information needed to identify the company?
Crawlability · indexability · rendering · structured information
02
Can systems interpret the entity, category, offer, and differentiators correctly?
Entity clarity · category language · relationships · proof
03
Can important claims be corroborated through clear, authoritative sources?
Citations · source diversity · claim consistency · validation
04
Does the brand surface in relevant answers where buyers compare options?
Mention presence · citation presence · competitive gaps · question coverage
Scope of Work
Where your brand appears across relevant search and answer-led queries.
Which competitors show up more clearly, more often, or with stronger positioning.
Questions your audience is asking that your site does not answer well enough.
Whether your site makes your company, category, offer, audience, and proof easy to understand.
A clear list of what to fix first across content, structure, FAQs, schema, and authority signals.
Services
The flagship AI Visibility Audit is the starting point. Other work extends its evidence and priorities when the brief calls for it.
Methodology
We define the category, market, buying context, and relevant competitors.
We test representative questions across relevant AI-search systems.
We analyse visibility, citations, entity clarity, evidence, and competitive gaps.
We translate findings into business implications and prioritised actions.
Every audit is manually reviewed by a specialist — no automated scores, no black-box AI, no data shared with third parties.
Read the methodologyFit
âś“B2B SaaS
âś“Hospitality
âś“Professional services
âś“E-commerce
Best suited to organisations whose buyers actively research alternatives, providers, or recommendations online.
It is not the right purchase when demand depends primarily on impulse, a local brand without digital competition, or a promise of immediate rankings.
FAQ
A focused review of how search systems index, synthesize, and present your brand, including traditional searches, direct answer boxes, and generative summary engines.
Founders, marketing teams, consultants, and service brands competing for search and answer visibility.
Traditional SEO focuses on page rankings. This audit reviews the wider information ecosystem—evaluating how search systems synthesize your brand data and recommend your services.
Yes. We analyze competitor presence and positioning to show where they have stronger clarity or authority.
You receive a visibility snapshot, competitor comparison, missed-question map, content/structure recommendations, schema/answer-readiness notes, and a prioritized roadmap.
No. Rankings and answer visibility cannot be guaranteed. The audit identifies practical improvements that make your site clearer, more useful, and easier to understand.
Contact
Share your work email and company domain. We’ll get back to you with next steps.