VerixionFixed fee · one-off engagement
AI Visibility Audit (GEO/AEO)
15,000₺ + VAT
Türkiye
The report is yours — carry out the implementation with your own team, or continue with a monthly improvement model.
AI Visibility Audit (GEO/AEO)
An AI Visibility Audit measures whether your brand appears in AI-powered answer engines, diagnoses why it doesn't, and produces the technical and content roadmap that will improve that visibility.
Why this matters now
Search behavior is changing: users increasingly put their questions to an AI assistant, and those answers usually cite only a handful of sources. If your brand is not in that narrow set, you are effectively nonexistent to this channel's customers. Research shows two things clearly: targeted optimization can lift visibility in AI-generated answers by up to 40% (Princeton, KDD 2024), and brands recommended by a leading AI assistant are 2.5 times more likely to receive a site visit within seven days (Similarweb). AI-driven traffic is still a small share today — but a share that grew roughly tenfold in nineteen months and rewards early movers.
- lift in visibility in AI-generated answers through targeted optimization (Princeton, KDD 2024)
- up to 40%
- more likely to receive a site visit within seven days when recommended by a leading AI assistant (Similarweb)
- 2.5×
Sources
What are GEO and AEO?
Generative Engine Optimization (GEO) is the work of getting your brand cited as a source in generative AI answers. Answer Engine Optimization (AEO) targets the systems that answer questions directly — voice assistants, answer boxes, AI summaries — so that your brand is the answer itself. Together they begin where classic SEO ends: not appearing in rankings, but being named in the answer.
What does the audit cover?
Technical foundation scan: AI crawlers' access to your site, robots configuration, structured data (schema.org), and llms.txt status.
Entity consistency: machine-readable consistency of name, address, and identity details across official records, your site, and your profiles.
Visibility panel: a 20-question panel prepared for your brand and category, run across AI engines — who gets named, and where you stand.
Competitor citation analysis: which sources feed the competitors named in answers, and a prioritized roadmap to close the gap.
Process and deliverables
In a short kickoff call we define your category queries together. The panel run and the technical scan are completed. You receive two things: a findings report showing where you stand today, and a roadmap ordered by priority. You can carry out the implementation with your own team, or we take it on with a monthly improvement model.
Kickoff call
We define your category queries together.
Panel run + technical scan
The 20-question panel and the technical foundation scan are completed.
Report + roadmap
A findings report showing where you stand today, and a roadmap ordered by priority.
Applied to our own brand firstWe applied this methodology to our own brand before selling it to our first client: the technical foundation, content blocks, and entity alignment are all live on verixion.com.
Frequently asked
- Why doesn't my brand appear in ChatGPT?
- Usually a lack of signals: without structured data, business listings, and answer-first content, it is hard for engines to cite you with confidence. The audit lists exactly these gaps.
- How soon are results visible?
- Technical fixes go live within days; showing up in AI-generated answers can take weeks and varies between engines. The honest expectation: this is not a sprint but an early-positioning investment.
- Which engines are measured?
- The panel runs on widely used assistants such as ChatGPT, Gemini, and Perplexity, and is reported per engine — because each engine draws on different citation sources.
Related reading: Human-Approved AI Agents