Proof

Proof should be clear, dated, and careful.

Until a public client case is approved, we show anonymized audit logic: the gap, completed work, readiness movement, and what is not proven yet.

Get the AI visibility audit

We check how AI answers see you

OpenAI

Gemini

Grok

Perplexity

Google AI

Evidence status

Only show what is checked.

The public proof layer separates completed work from unproven visibility movement.

BaselineDate, prompts, and measured surfaces are recorded.

Readiness diffChanges are visible before the rerun.

AI signalWaiting for rerun or approval.

WAIT

Citation gap teardown

We show why AI picks a competitor and what to fix so it can show you.

Representative audit view without client data.

Prompt

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

AI answer

The AI answer treats a competitor as the clearer source because its category page explains decision criteria, guarantees, and delivery terms more directly.

Gap

Your brand does not earn a place in this answer yet.

Fix priority

First fix: category page, FAQ, schema, and clear proof.

Synthetic demo audit, not a client result

What a Citara audit artefact looks like.

The demo shows the format: question, AI answer gap, competitor citations, and the first fix priority. It is not a real client claim.

Prompt

"Where in Lithuania should I buy a specialist product when warranty and fast delivery matter?"

Sourceful rate42%

Competitor citations7/12

Fix priorities6

Market signal

Buyers see answers before the click.

Google still matters. But more buyers see the first answer inside AI tools, so you need to be visible where the choice begins.

Organic searchsolid line with circlesAI trafficdashed line with squaresAI Overviewsdotted line with diamonds

Jagged market index chart: organic search stays nearly flat, AI traffic rises with fluctuations, and AI Overviews moves on a steeper, less stable path.

Semrush Traffic Channel Mix Study Similarweb AI Referral Traffic Ahrefs AI Overviews Study SparkToro / Datos AI Adoption Note

Proof boundary

What is checked and what is not yet AI visibility proof.

After implementation, completed work and technical readiness can be shown. AI answer movement still needs a rerun with the same prompt set.

Checked

Pages are reachable, canonicals match, sitemap contains priority URLs, JSON-LD parses, and raw HTML contains visible content.

Waiting

GSC needs to process the new state, and a paid rerun is useful only when citation, mention, or source-gap movement needs to be measured.

Do not claim

Readiness alone is not proof that ChatGPT, Perplexity, Gemini, or Google AI Overviews show Citara more often.

Proof ladder

Public proof should move step by step, not jump straight to ROI claims.

What can be shown immediately after a sprint?

The completed work, changed pages, schema and crawlability checks, readiness diff, and remaining blockers can be shown immediately.

When can AI visibility signals be described as moved?

Only after a rerun with the same or very similar prompt set shows citation, mention, sourceful-rate, or source-gap movement.

What should not be called a case study?

An audit score or readiness improvement alone is not enough for ROI, revenue, or public case-study language. That needs approval, dates, baseline, and additional business signals.

Case placeholder

A public named case appears only after client approval.

Until then, anonymized proof models are used without invented results or client names.