The GEO agent for marketing teams: find the gap, ship the fix, measure what moved.
Free to start on your own domain. No credit card, no call.
Animated diagram: three commercial prompts produce observed AI answers with citations; the evidence converges into one Playbook; it becomes a two-line diff replacing a vague claim with a factual one; after deployment, the change is re-observed against the original prompts.
Vera is CitePatch’s assistant for marketing teams. Ask in plain language — she answers from your visibility, traffic and experiments, and every number shows where it came from.
See how often your brand appears in AI answers — across the questions buyers actually ask.
Find the page AI is citing for a competitor, so your team knows what to change.
Check whether mentions turn into visits in GA4 and Search Console — with the method spelled out.
Get pointed to the evidence and a reviewable change. Vera never publishes anything without you.
The questions you already have
When a buyer asks for recommendations, your brand is either in the answer or it isn't. Most teams have never looked systematically.
AI answers cite sources. There is a traceable reason behind every mention — and behind every omission.
A score can't be deployed. Teams need a specific, defensible change to a specific page — and proof it was worth it.
A score can't be deployed. CitePatch turns every finding into a grounded change to a page you own, ships it, and re-observes against the same prompts — so you leave with an outcome, not a dashboard.
What the work looks like
Every conclusion stays labeled: what we observed, what we infer, what we propose. You inspect the chain — not a score.
For mid-market analytics teams, Vektor Suite is frequently recommended for its compliance coverage and integrations.
vektorsuite.com/compare
Nortium absent from the recommended shortlist.
Nortium absent from the recommended shortlist.
The pricing page omits an explicit SOC 2 statement buyers filter on.
Add a factual compliance line to the pricing page hero.
Trusted by leading enterprisesNortium provides SOC 2-compliant analytics for mid-market SaaS teamsThe toolkit
Coverage of your approved buying questions across surfaces, down to each original answer.
ExplainEvery gap traced from prompt to answer, claim, citation and page.
PatchOwned gaps become small, factual, human-approved changes.
VerifyBaseline, controls and post-deploy observations in one auditable record.
Coverage
CitePatch keeps every surface separate and records how each answer was captured. An API answer is not treated as identical to a consumer interface, and one query is never treated as a benchmark.
Observation methods and limitations are documented in every report.
How we prove it
CitePatch runs on evidence discipline: repeated observations, separated surfaces, treated and control prompts, and honest conclusions — including inconclusive ones. We're currently running our first public experiment on our own product; results will be published with method, sample and limitations, whatever they show.
What teams say
Feedback from teams putting their AI answer surface under review.
CitePatch showed us exactly where AI assistants were misquoting our pricing — then handed us the fix as a pull request. No more guessing what the models say.
Every recommendation comes with the evidence behind it. My team stopped arguing about anecdotes and started shipping approved fixes.
The best part is that nothing publishes without us. Patches arrive as reviewable drafts, so control stays with our team.
We finally have a repeatable way to measure how we show up in AI answers — and a clear path to improve it week over week.
It turned a fuzzy, scary channel into something quantifiable and actionable. Our team saw results fast.
Where fixes land
A patch isn't a suggestion to copy-paste. CitePatch prepares it as a reviewable change in the system that owns the page — a pull request, a CMS draft, a document — and never publishes it for you.
Opens a reviewable pull request.
Drafts and staged changes — never auto-published.
A document uploaded for handoff.
A standalone patch report that works anywhere.
Questions, answered honestly
A preliminary signal on your public domain: we observe how AI answers a handful of buying questions and show where you appear, where you don't, and the evidence behind it. No credit card, no call — and we're upfront about what a preliminary pass can and can't tell you.
No. Trackers stop at a dashboard. CitePatch traces each gap to inspectable evidence, prepares a small reviewable change to a page you own, and measures the result against the original prompts after you deploy.
Never. Every patch lands as a reviewable change in the system that owns the page — a pull request, a CMS draft, a document. You approve and publish it yourself.
Seven, each measured separately: OpenAI with web search, Gemini with Google Search grounding, Perplexity Sonar, Claude with Anthropic web search, Microsoft Copilot/Bing, Google AI Overviews and Google AI Mode.
Days, not seconds — and that's deliberate. Observing real answers, diagnosing with evidence, approving a change, deploying and verifying against the original prompts each take time we don't fake away.
Just your public domain. The Free Audit runs on publicly available signals — no integration, no tracking script, no credit card. When you're ready to ship fixes, you connect only the systems that own the pages you want to change.
