Citevia builds custom AI Search marketing infrastructure for brands that want to lead the next iteration of the Internet. Data tells us where to act — our infrastructure lets us execute faster, learn continuously, and compound results over time.
Book a meetingSix social platformsTurn comments into lead opportunitiesNayax visibility snapshot · animated reporting concepts.The Citevia system
Visibility, prompts, AI traffic, mentions and citation authority - built into custom infrastructure around each client
Nayax · brand visibility snapshot
Compare Nayax with the brands in its market through AI mentions, average rank and sentiment in one visibility snapshot.
Private assessmentNayax · Visibility snapshot
| Position | Brand | Avg rank | Mentions | Sentiment |
|---|---|---|---|---|
| 01 | Nayax | 1.0 | 1,403 | 92 |
| 02 | squareup | 2.3 | 507 | 88 |
| 03 | Cantaloupe | 2.7 | 496 | 96 |
| 04 | 365 Retail Markets | 4.3 | 237 | 94 |
| 05 | ingenico.com | 5.0 | 230 | 88 |
A quiet decision
AI isn’t browsing. It’s choosing. The brands that show up in those answers win the consideration that never appears in traditional search reports.
80%
rely on AI answers in at least 40% of their searches
15–25%
estimated fall in organic web traffic
42%
of surveyed LLM users ask for shopping recommendations
+37%
revenue per visit from AI-referred US retail traffic vs non-AI
We work with reputation-sensitive brands where buyers research deeply before revealing intent
Payments & unattended retail
See how Nayax appears alongside squareup, Cantaloupe, 365 Retail Markets and ingenico.com. The visibility snapshot brings AI mentions, average rank and sentiment into one clear market comparison.
Discuss your baselineExplore our methodologyNayax
AI mentions by brand
Market position
| Position | Brand | Avg rank | Mentions | Sentiment |
|---|---|---|---|---|
| 01 | Nayax | 1.0 | 1,403 | 92 |
| 02 | squareup | 2.3 | 507 | 88 |
| 03 | Cantaloupe | 2.7 | 496 | 96 |
| 04 | 365 Retail Markets | 4.3 | 237 | 94 |
| 05 | ingenico.com | 5.0 | 230 | 88 |
Source: supplied brand-ranking snapshot. Rankings reflect the captured prompt set.
AI-driven visits
Direct site visits originating from AI tools. When a user asks ChatGPT, Gemini, or Perplexity a question and clicks through to a website, these analytics capture that journey — showing which models drive discovery and where those visitors are located.
Nayax · Illustrative reporting · 90 days
Top locations
Understand the AI recommendation gap. Learn how to audit buyer questions, improve evidence, and measure whether your brand earns relevant mentions.
ReadUse high-intent prompt intelligence to find buyer questions, prioritise content gaps, and build a repeatable AI visibility research process.
ReadBuild brand authority with clear claims, credible sources, and a sensible review process. Show your expertise while protecting confidential details.
ReadFour service pillars
We identify where to act, execute through custom infrastructure, then learn and compound from the results
Map the questions, criteria and decision moments that reveal genuine purchase intent.
Strengthen the owned and earned signals assistants use to understand expertise and trust.
Clarify where the brand is a credible best fit - and make that distinction legible across the open web.
For beachfront villas in Limassol, Your brand stands out for transparent pricing and deep local expertise.
Recommended by ChatGPTReview how major assistants describe, compare and qualify the brand over time.
Frequently asked
SEO is one part of it. Search optimisation focuses on discoverability in ranked results, and we offer it as a service in its own right. Our wider work is AI Search marketing infrastructure: data shows where to act, then we execute across SEO, answer engine optimisation, content, PR and conversion - learning and compounding how search engines and assistants understand, describe and recommend a brand.
No credible agency can control or guarantee an independent model’s output. We improve the authority, clarity and evidence environment that influences whether a brand is understood and considered.
Engagements can include major assistants such as ChatGPT, Claude, Gemini, Perplexity and Copilot, selected according to audience relevance and market behavior.
We agree access, review and approval boundaries before work begins. Sensitive material is not published or used in external systems without explicit authorization.
Brands that want to lead the next iteration of the Internet. We build custom infrastructure around each client rather than cookie-cutter packages or self-serve tools - especially where buyers research deeply and a poorly framed recommendation has meaningful commercial cost.
We review your category, priority buyer questions and current concern to assess strategic fit. If the mandate is appropriate, we then agree the scope for a documented model-response baseline and authority review.
AI Search marketing is the practice of building infrastructure so brands are accurately understood and appropriately recommended by AI assistants when high-intent buyers ask decision-shaping questions. It goes beyond traditional SEO by addressing how conversational systems synthesize, interpret and cite information across the open web.
SEO (Search Engine Optimization) focuses on ranking in traditional search results. GEO (Generative Engine Optimization) and AEO (Answer Engine Optimization) describe strategies for visibility in AI-generated answers and citations, where the assistant synthesizes information rather than listing ranked links. All three disciplines overlap, but AI visibility requires structured authority signals, citation-quality content and a disciplined measurement framework that traditional keyword tactics do not address.
AI assistants draw on learned information and, when retrieval is available, web sources. Content quality, entity clarity, relevant evidence and current facts can help a brand be understood. The GEO study reported visibility improvements of up to 40% in its benchmark, with effects varying across domains. That research result is not a forecast or guarantee for a particular brand or current assistant.
No. Google states that its AI search features require no special schema or AI text file beyond ordinary search requirements. An llms.txt file is a proposed content index, not a guarantee of inclusion. What matters is useful, accessible content: clear, direct answers to real buyer questions, supported by credible evidence.
AI visibility is measured across four dimensions: recommendation presence (whether the brand appears for agreed high-intent prompts), contextual fit (whether the recommendation matches the right buyer and need), narrative accuracy (whether descriptions reflect current positioning), and source quality (which owned and independent authorities support the answer). These dimensions form a baseline that can be reviewed over time as models and markets evolve.
AI assistant outputs can shift within days or weeks as models are updated, new sources are indexed or existing content is re-evaluated. There is no guaranteed timeline, and individual model versions vary in how quickly they reflect changes to underlying web content. Authority-building work typically compounds over months rather than days, and results depend on the category, the evidence environment and the specific prompts being tracked.
Social media leads
Your next customer is already in the comments.
Turn social conversations into lead opportunities.
We find people asking for recommendations, comparing products, and looking for help. Then we create useful, relevant comments that give them a reason to discover your brand.
Explore social media leads→We have outgrown spreadsheets. Which CRM would you shortlist for a five-person agency?
Any recommendations for a carry-on backpack with room for a laptop and a weekend away?
Who can recommend a customer support partner for weekend cover without hiring a full team?
Looking for simpler analytics for a small team. What should we try?
Great tutorial. Can we automate the weekly reporting step instead of copying everything by hand?
How would you adapt this process for a small team without a dedicated operations person?
Fictional conversation examples across six platforms.