Improve how your company appears in AI-generated answers.
Ksenai helps companies understand how AI systems describe their company, whether they appear for relevant client questions, and what needs to change to become clearer, more visible, and more trusted in AI search.
A potential client may meet your business inside an AI answer first.
The first question happens before the website visit.
A decision-maker asks AI for guidance in a real business situation.
AI assembles the shortlist.
Providers are compared using the explanations and evidence AI can find.
Clarity shapes who feels worth contacting.
A stronger digital representation makes the next step easier to justify.
Ksenai makes the baseline visible.
Mentions, competitors, sources, and missing evidence become measurable.
Review → Improve → Measure
Start small. Continue only when the first evidence is useful.
Signs your company may be missing AI search opportunities.
Many companies are trying to create new lead-generation channels because traditional Google search, referrals, or paid traffic no longer produce enough qualified demand. AI search becomes part of this new discovery layer, but only if the company is visible, clear, and trusted in AI-generated answers.
Google search alone may not be enough
Organic traffic may still exist, but it does not create the same volume or quality of leads. Companies need to understand whether AI search can become an additional discovery channel.
AI systems mention competitors instead
When clients ask AI systems for recommendations, competitors may appear while your company is absent, unclear, or described too weakly.
The company is hard to understand
The website may contain useful information, but services, expertise, proof points, and category positioning are not structured clearly enough for AI systems to interpret.
There is no measurable baseline
Without a repeatable AI visibility audit, it is difficult to know which questions matter, where the company appears, which competitors dominate, and what should be fixed first.
See the independent research behind this shift →
From AI visibility analysis to practical improvements.
We assess how AI systems find and describe your business, identify the most valuable improvements, and help put them into practice, from website content and structure to technical accessibility.
Review AI answers
We test real client questions and examine whether your company appears, how it is described, and which competitors are recommended instead.
Identify gaps
We identify where your website, FAQ, service pages, brand positioning, and proof signals are unclear for AI systems.
Build improvements
We prioritise practical changes to your website content, structure, internal links, and relevant technical signals.
Implement and check
Ksenai can make the agreed website changes directly or work with your team, then check implementation. Follow-up reviews are agreed when useful.
The audit focuses on visibility, clarity, trust, and comparison.
Visibility in AI answers
- Does your company appear for relevant client questions?
- Which competitors appear instead?
- Is your category understood correctly?
How AI describes your company
- Is the description accurate?
- Are your services explained clearly?
- Are important strengths missing?
Website clarity
- Are service pages easy to interpret?
- Are client questions answered directly?
- Are claims supported with evidence?
Trust and proof signals
- Is expertise visible?
- Are credentials, examples, and proof points clear?
- Can AI systems understand why the company is credible?
Bruton Lloyd - AI Search Visibility
“AI is changing the way people search for services, and we want Bruton Lloyd to be part of that change.
Over the past few months, we’ve been working with Ksenia Zybkovets to improve how Bruton Lloyd is discovered through Google and AI search.
Until recently, AI search wasn’t bringing us any enquiries. Now we’re seeing people find Bruton Lloyd through ChatGPT, visit our website, and then get in touch via the site, WhatsApp or Telegram.
More broadly, the work on our website and search visibility is starting to turn into real enquiries, not just more traffic.”
Co-Founder and Director, Bruton Lloyd
Original recommendation on LinkedIn ↗The results
Google Search impressions
Google Search clicks
Google Generative AI impressions
Daily averages · ~1 month before work completion → ~2 months after
Choose how far you want to go.
Start with an audit. The scope depends on your goal: a focused audit is the quickest way to see your first priorities. Every audit is built around your real client questions, not a generic prompt checklist. Improvements and follow-up reviews are planned after the findings.
AI Visibility Audit
How AI systems describe your company, which competitors appear instead, and what to fix first.
- Focused (from €250): 5–7 client questions, key pages, critical technical checks, priority action plan
- Extended (quoted individually): broader question sets, competitor analysis, more AI platforms
Key findings, a priority action plan (which pages, content, links, or technical issues to fix first), and supporting evidence: tested AI questions and answers and website checks.
Visibility Improvements
We implement agreed website changes directly or with your team, then check indexing and implementation.
Prefer your own team? The action plan works as a ready brief for your developer, marketer, or content owner.
- Priority pages, headings and metadata
- Content, FAQ and internal links
- Technical and indexing fixes
- Briefs for off-site work: articles, reviews, external profiles
Updated pages (service descriptions, headings, metadata, FAQ, internal links, technical fixes), implementation QA, and a handover summary of what was done and what still needs attention.
Follow-up Review & Support
After changes go live: what has improved, where competitors stand now, and what to do next.
- Repeat review against the original baseline
- Updated competitor and query check
- Revised priorities: what to continue, what to close
- Optional: small improvements in the same round
A comparison with the original baseline, updated competitor and query findings, and a revised priority list.
A focused diagnosis built around your real client questions.
Ksenai is designed for companies that need more than a generic SEO report: a focused diagnosis of how AI systems understand the company, explain the offer, compare competitors, and evaluate trust signals for the questions your clients actually ask.
Start with your business goal
We start with the commercial question: how AI visibility could support qualified leads, product understanding, trust, or competitive choice. The audit follows that goal, rather than a universal SEO checklist.
Review how your expertise is represented
We examine positioning, expertise, use cases, and supporting evidence alongside website structure and technical issues, so the recommendations reflect what makes your business credible.
Test questions your customers could ask
The question set reflects your services, audience, geography, competitors, and decision-making scenarios. It is built for your business, rather than copied from a generic prompt list.
Turn findings into tasks your team can use
You receive recommendations tied to specific pages, content, proof, or technical issues. Your team can use the action plan, or Ksenai can implement agreed improvements as a separately scoped engagement.
Questions before you start.
Start with an audit. Choose further work only when the findings make it useful.
What does a focused audit include?
A short brief, 5–7 priority client questions, a compact AI/search visibility check, review of 1–2 key website pages and critical technical signals, and 3–5 priority issues with concrete first actions. It does not include a full-site review, detailed competitor research, or implementation.
Can our own website team implement the action plan?
Yes. The findings and priority action plan can become your team’s brief. You can implement them independently or ask Ksenai to work alongside your team.
Do I have to order further work after the audit?
No. The audit is a standalone service. Further work is optional; there is no required next purchase.
Is repeat measurement included?
The audit provides an initial baseline. Visibility Improvements include implementation checks within the agreed scope. A repeat review against the baseline is part of Follow-up Review & Support and uses comparable questions and conditions. The 5–7 questions of a focused audit are a screening tool, not a statistical assessment of improvement.
Can you guarantee AI visibility or enquiries?
No. We distinguish completed changes, search discovery, and observed business outcomes. Google and AI systems decide whether and how a site appears. We review progress without treating an observed increase as proof of causality.
What is the difference between a focused and an extended audit?
A focused audit checks 5–7 priority client questions and key pages to find your first priorities. An extended audit covers broader question sets, detailed competitor research, and more AI platforms. You can order an extended audit directly; scope and price are confirmed before work starts.
What can a follow-up include?
It depends on what changed since the audit. Example: a follow-up a few months after the audit included SEO/AEO optimisation of one new page, an updated visibility review against the original baseline, a check of three competitors and current non-brand queries, and a revised list of next priorities.
Find out how your company appears in AI-generated answers.
Start with an AI Visibility Audit from €250 of your priority client questions and key pages. Get clear first actions; decide on further work only if you need it.