Measure how often AI engines mention and cite your brand, find out why you are missing, act on it, and report it, with a confidence interval behind every number.
Sampled, confidence-bounded numbers for how often AI engines mention and cite you.
AI answers change from run to run, so a single score is one random draw. Orem samples each prompt many times, bootstraps a 95% confidence interval, and tells you plainly whether this week's change is real or within noise, so you never report or chase a move that was just randomness.
Every buyer question you track is grouped into AEO, AIEO and GEO, with per-engine mention and citation rates, confidence intervals and week-over-week sparklines. One view shows where you are strong, where you are absent, and which engine is the outlier.
Sampling, parsing, statistics and recommendations run against the engine you pick while you watch, with progress streamed sample by sample. Use it to test a new prompt or sanity-check a change without waiting for the weekly refresh.
See how often engines name you versus each competitor. Overlapping confidence intervals are shaded, so a lead that is really a statistical tie is labelled as one and never dressed up as a win.
Classic search still feeds the sources AI engines cite. Orem tracks your organic rank and presence for the same prompts you monitor in AI answers, next to your competitors, so you can see both surfaces from one workspace.
Connect Google Analytics 4 and Search Console to put real sessions, clicks, impressions and position beside your sampled mention rate. It answers the question every stakeholder asks: is AI visibility actually bringing in visits?
Why you are missing from an answer, and what engines are getting wrong about you.
Orem maps every source domain behind the answers for your prompts, each engine's sourcing bias (Wikipedia for ChatGPT, Reddit for Perplexity), and the gaps where competitors are cited and you are not. Those gaps are the raw material for your off-page plan.
A claim is flagged only when something is actually wrong: a hedged answer, a contradiction of your verified brand facts, models disagreeing on the same prompt, or a claim a live web check cannot confirm. You get a short list worth acting on, not a wall of noise.
Audit a page against the six checks that predict whether AI engines will quote it, and confirm the AI crawlers that browse the web can actually reach your domain. It is the fastest way to find on-page blockers before you write new content.
Set rules on the signals you care about: a mention-rate drop, a competitor overtake, a new hallucination flag, a rank fall. Alerts go to the console, email or Slack, each with its own cooldown so a noisy week does not flood your inbox.
Turn measured gaps into shipped fixes, then check they moved the number.
Off-page moves are generated from your actual source gaps and mapped to each engine's sourcing bias. On-page moves come from the proven GEO tactics: citations, quotations, statistics, question-shaped sections and freshness. Every action is re-checked against the noise floor after you ship it.
Connect WordPress and your social accounts so AI-drafted recommendations and hallucination corrections can go live without copy-paste. Reddit posts always wait in an approval queue, so nothing is posted to a community without a person signing off.
Define one page pattern and a matrix of inputs, and Orem generates the pages, structured to be the kind of answer engines extract. It turns a coverage gap across dozens of locations or use cases into published pages in one pass.
Every answer is grounded in a fresh query of the workspace: visibility, gaps, hallucinations, alerts and recommendation impact. Ask what changed this week or which competitor is gaining, and get a sourced answer instead of digging through charts.
Client-ready reporting, multi-brand workspaces, and usage that stays inside your plan.
Each analysis, including the one you ran before signing up, is saved as a report you can reopen and share. Nothing is re-computed on the way in, so the report you show a client is exactly what the pipeline measured.
Put what a team or agency claims next to what Orem measures, surface by surface. A one-click live audit re-samples the AI engines and search in real time, giving leadership an honest scorecard instead of a vanity dashboard.
Agencies run every client in its own workspace with its own prompts, competitors, region and engines. Pitch prospects with time-boxed trials, see each client's visibility and quota at a glance, and promote a won pitch to a client in one step.
A Bearer-key REST API returns weekly mention and citation rates with 95% intervals, verdicts and share of voice per engine. Bring your own OpenAI, Perplexity, Gemini or Anthropic keys on any plan to run sampling on your own provider accounts.
Sampling multiplies across prompts, engines, runs and refreshes, so the header always shows how much of your plan's monthly allowance is used, with a breakdown of tracked prompts and projected usage. Plan limits are enforced on the server, so a workspace can't run past its allowance and there's no surprise bill.
Track your brand across every major answer engine with confidence intervals and honest verdicts, with $25 credit to start.