Methodology

We treat AI visibility as a decision system, not a single score.

Every finding must answer three questions: where you are absent, who appears instead, and what can actually be changed on the website. Platform caveats are marked separately.

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Prompt to action

Measurement needs a work path.

Every signal connects a prompt, a source, and a website change.

01
Buyer promptA real decision question is tested.
INPUT
02
Cited sourceCitations, mentions, and caveats are separated.
EVIDENCE
03
Action QueueThe finding becomes page or schema work.
OUTPUT
Source-less answers stay a caveat, not proof.

Prompt map

We start with buyer questions, not a keyword list.

Competitor citations

We capture which domains and brands appear instead of you.

Website blockers

We check content, structure, structured data, and pages AI can cite.

Measurement rules

The methodology must separate visibility signals from promises.

How does Citara measure AI visibility?

Citara starts with buyer-decision prompts, checks ChatGPT, Perplexity, Gemini, and Google AI Overviews answers, separates citations from mentions, and records which sources win instead of the client domain.

What is a sourceful answer?

A sourceful answer has a visible source or cited domain. If an answer recommends without sources, it is treated as a caveat and cannot support a strong proof claim.

When should a rerun happen after a sprint?

Technical readiness can be checked immediately after implementation. AI visibility reruns are more useful after an indexing window or explicit Citara approval for an early rerun.

How can I measure whether new buyers come from ChatGPT or other AI tools?

Measurement is usually directional: AI referrers, customer surveys, GSC, and analytics changes can help, but not every AI recommendation passes a clean source. Citara separates immediate validation from signals that need more time and supporting data.

What should I do if AI answers describe my business incorrectly?

Fix the public facts AI can rely on: what the company does, who it helps, which services it offers, what the methodology is, and what the limits are. After changes, rerun checks can show whether AI answers understand the company more accurately, but no specific answer can be guaranteed.

How we choose the work

We move from the buyer question to the specific pages that need work.

Question to fix

A buyer question becomes a concrete fix.

We separate the question, AI answer, competitors, and the page that needs work.

01Prompt

A real buyer question is tested, not an abstract keyword.

12 prompts
02Answer

Mentions, citations, sources, and missing context are separated.

AI tools
03Gap

We see which competitors have clearer pages or proof.

gap
04Sprint

We fix pages so AI can understand and compare them more easily.

5-10 fixes
AI visibility audit
ChatGPT · Perplexity · Gemini · AI Overviews
Prompt

"Which specialized ecommerce stores in Lithuania are worth considering?"

The AI answer surfaces several competitors because their category pages explain assortment, guarantees, and buyer decision criteria more clearly. Your brand is absent from this answer.

Competitor A
78/100
Your brand
18/100
Sprint priority

First priority: strengthen the category page, FAQ answers, and structured data.

No guarantees

Citara improves citation readiness. It does not promise placement in AI answers.

That is the safer, more professional position: show what can be measured, what can be fixed, and what needs a rerun after changes.

Analytics choice

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