Win the AI citation.
Your buyers stopped searching — they ask ChatGPT, Perplexity and Gemini, and act on whatever gets cited. VectorCite measures why you’re not the answer, prescribes the fix, and proves it worked. The citation is the new click.
AI answer engines measured
more visibility from evidence-rich content
of AI citations change every month
Search is collapsing into answers.
Your customer asks a question and gets one synthesized answer with a handful of cited sources. If you’re not one of them, you don’t exist in that decision — the click never even forms. SEO got you ranked on a page of links. AEO gets you cited inside the answer itself. VectorCite is the instrument for it.
How VectorCite works
A measured loop — Probe, Measure, Prescribe, Fix. No vibes, no guesswork.
Probe
VectorCite queries every major answer engine with the real questions your buyers ask — and captures every source each engine cites. Not once: ~100 probes per question, because a single check is noise when citations churn 50%+ a month.
Measure
Your content and the cited sources are embedded into the same vector space. VectorCite measures the exact distance between them — geometry, not keyword guessing — and scores it as an AEO Health Score, benchmarked against your category.
Prescribe
A ranked action plan: which gap is costing you which citation, sorted by predicted citation impact — not raw distance. A CEO-legible queue of ROI-ranked content fixes.
Fix
Paste-ready schema.org JSON-LD and rewritten copy. Not “improve your content” — the exact block to ship, with the gap it closes spelled out.
Then VectorCite proves it worked.
After you ship the prescribed fix, VectorCite re-probes the exact same questions and runs a statistical significance test — is the lift real, or just the engines’ natural churn? You get a verdict, not a vibe. A diff is copyable; an accountable, verified citation record is not. That closed loop is what separates VectorCite from every “AI visibility dashboard” on the market.
// proof, not opinion
Most tools say that.
VectorCite says why.
Every lost citation is one of three gaps. VectorCite names which — per question — because each one needs a different fix.
You have no content near the question at all — you aren’t even a retrieval candidate. Fix: create the content that should exist.
You’re close, but out-competed on authority, freshness, or alignment. Fix: out-rank — sharpen the page, earn the trust signals.
You’re relevant and retrievable, but your content isn’t citation-worthy: no stats, no dated facts, no named entities. Fix: restructure the same facts into groundable form.
Your AEO Health Score.
One decomposable score across four measured dimensions — reported as a percentile against your category, because a raw number means nothing without a reference. One click drills the score down to the exact question and the exact paragraph.
Six engines. One instrument.
VectorCite measures your brand across every answer engine that matters.
Two ways in.
Run VectorCite yourself, or have Digiocular operate the full loop for you.
Citation Audit
A full VectorCite Gap Report — where you’re cited, where competitors win, and the ranked fix list. Foundational schema included.
Managed AEO
The full Probe → Measure → Prescribe → Fix loop, run for you. Monthly re-probe, closed-loop verification, content shipped.
Enterprise
Multi-brand, all 6 engines, continuous monitoring, multi-locale probing, and a dedicated AEO strategist.
Questions, answered.
What is VectorCite?+
VectorCite is Digiocular’s flagship platform for Answer Engine Optimization (AEO) — getting your brand cited inside AI-generated answers from ChatGPT, Perplexity, Gemini, Google AI Overviews, Claude and Microsoft Copilot. It measures the gap between your content and what gets cited, prescribes the exact fix, and verifies the fix worked.
How is this different from an SEO tool or a “Share of Voice” tracker?+
Most AI-visibility tools tell you THAT you’re cited or not — a Share of Voice number. VectorCite tells you WHY, at the paragraph and claim level: which specific gap (coverage, relevance, or evidence) is costing you which citation, the exact competitor content that won it, and the precise edit to close it. Then it re-probes and statistically proves the fix moved the citation. That “why + proof” is the whole point.
What’s the difference between SEO and AEO?+
SEO optimises for blue-link rankings on Google search. AEO (Answer Engine Optimization) optimises for being the cited source inside a generative answer. The signals overlap, but AEO weights retrievability, extractable evidence, structured data and freshness far more heavily. As search collapses into synthesized answers, the citation becomes the new click.
Can you guarantee a citation?+
No — and anyone who does is lying, because no one controls an LLM’s output. What VectorCite guarantees is the instrumentation: a measured gap, a prescribed fix, and a statistically-tested verdict on whether that fix moved your citation probability above the engine’s natural churn. Proof, not opinion.
Why measure so many times?+
Answer-engine citation sets churn 40–60% every month. A single probe is a sample, not a measurement. VectorCite runs ~100 probes per tracked question and reports a probability with a confidence interval — never a last-sample yes/no.
Is AEO replacing SEO?+
Not yet — do both. SEO captures the traffic you have today; AEO captures the traffic moving to AI answers. Google AI Overviews already appear on a large and rising share of searches. The smart play is to instrument both surfaces now.
Stop hoping you’re cited. Know.
Get a free citation audit — we’ll show you exactly where you stand across all six AI engines.