GenSig measures how visible your brand is when AI assistants answer your customers' questions — and gives you the evidence, the sources and the plan to improve it.
When someone asks ChatGPT "what's the best specialty coffee subscription?", the answer either names your brand or it doesn't. GenSig asks AI engines the questions your category gets asked — a frozen, versioned set of up to 20 brand-neutral questions — and measures:
Your questions are generated once, reviewed by you, then frozen and versioned. Every future run asks exactly the same questions — otherwise the trend line would compare apples to oranges. Editing questions or competitors bumps the version, and the chart warns you when a period mixes versions.
LLMs are not deterministic: the same question can get different answers. GenSig can ask each question up to 3 times per analysis. Mention stability is the percentage of questions where all runs agreed (all mentioned you, or none did). Low stability means the engine is genuinely undecided about your brand — that is a finding, not noise to hide.
A sample of 8–20 questions on one engine is directional, not a census. GenSig labels confidence accordingly and never dresses a small sample up as statistical certainty. Trends across many runs are far more meaningful than any single measurement.
Each archived run is compared against the previous run of the same brand and the same question-set version. That is the number behind the +/- badges.
What GenSig deliberately does not claim: causal verdicts. If you publish content today, engines answering from training data cannot see it tomorrow. That is why actions are tracked as Annotations on the timeline — you see the correlation with your own eyes instead of getting a fabricated "your action caused +12%".
| View | What it shows |
|---|---|
| Dashboard | The active brand's latest numbers, the visibility trend with annotation markers, and the full run history (paginated). Run new analyses from here. |
| Prompts | The frozen question set: version, language, per-question source, draft editing with explicit Save. Changing it bumps the version. |
| Competitors | Side-by-side visibility, sentiment and position for every tracked brand, plus the leader autopsy: the top competitor's site examined with the same lens as yours. |
| Perception | What the AI actually says: verbatim quotes grouped into praise, criticism and neutral mentions, per brand. |
| Sources | The domains AI cites when answering your category questions, classified (editorial, UGC, competitor, you…) with real example URLs. |
| Optimize | Generated JSON-LD structured data and meta descriptions built from your frozen questions and your site's content. Copy, paste, ship. |
| Annotations | Every GEO action you take, pinned to the timeline and overlaid on the dashboard chart as colored markers. |
| Activity | The workspace audit log: who changed what, when — including restorable configuration snapshots. |
| User management | Invite teammates with granular per-brand permissions. |
Pro plans can schedule automatic re-runs (weekly, biweekly, monthly) per brand. Monitors run in the cloud — your computer does not need to be on. Activating a monitor triggers its first run immediately; results appear in the dashboard and you get a live notification when a run starts and finishes.
Teams are available on the Agency plan (up to 10 members). Viewers can be scoped to specific brands — ideal for giving each client read-only access to their own numbers.
| Role | Can do |
|---|---|
| Owner | Everything, including deleting brands and runs, restoring configurations and managing members. |
| Editor | Run analyses and edit configuration on all brands or a specific list; optionally add new brands. Editable brands are always visible. |
| Viewer | Read-only access to all brands or a specific list. |
OpenAI models today; additional engines are on the roadmap. Every report states which engine produced it.
Engine randomness (check the stability metric) or a model update on the provider's side. This is exactly why GenSig measures trends over single points.
Deleting a brand permanently removes its configuration, archived reports and monitors. For full account deletion, contact support.
No — every scheduled run counts as one analysis within your plan's monthly allowance, same as a manual run.