GEO your brand can prove.
Jincove is the GEO-first growth studio for brands and agencies. We read the six major AI answer engines — ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode, and Copilot — and turn raw answers, citations, and sources into the content and creative that get a brand named.
No card. No call. No catch. Reply in 2 business days.
The engines we monitor — not a client list.
ChatGPT
Perplexity
Gemini
Google AI OverviewsGoogle AI Mode
CopilotChatGPTPerplexityGeminiGoogle AI OverviewsGoogle AI ModeCopilotChatGPTPerplexityGeminiGoogle AI OverviewsGoogle AI ModeCopilotChatGPTPerplexityGeminiGoogle AI OverviewsGoogle AI ModeCopilotFeatures
Evidence-grade GEO, in one workbench
We audit, monitor and report how AI answer engines treat a brand — with a receipt behind every number.
Cited on 9 answers where the brand went unnamed — that gap is the pitch
Mentioned vs cited, split out
Each answer is checked for two facts: did the engine name the brand, and did it cite its domain. The gaps between the two become the fix roadmap.
ChatGPTPerplexityGeminiAI OverviewsAI ModeCopilotSix engines, one record
ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode and Copilot — queried through a single REST or MCP call, with every answer stored in one record format.
Reports in your own stack
Pull runs into your own dashboards via API or MCP, or export client-ready evidence directly. White-label friendly when an agency delivers the report.
From answers to trend lines
Schedule the prompts your buyers actually type. Watch visibility, share of voice and cited sources move week over week.
0
Answers stored
0
Mentioned
0
Cited
ChatGPT
2.5% mentionsPerplexity
-1.2% mentionsGemini
4.1% mentionsScheduled runs, on the record
Monitoring re-runs each brand’s buyer questions on a cadence — weekly down to every 15 minutes — and flags a change only when it clears the sampling noise.
Answers with receipts
Every run returns the raw answer text, the citations inside it, and the sources behind it. When anyone asks “says who?”, you open the record.
Evidence
Evidence, not a score
No testimonial wall — here is the deliverable itself. Sample rows, shown the way they appear in a report: the prompt, the engine, the verbatim answer, and every source behind it.
“best home espresso machine for a small kitchen?”
2026-09-05 · scheduled run
ChatGPT“For small kitchens, the Fervano Uno and Moltara Due come up most often — Fervano is usually recommended for value, with a compact dual boiler that still fits under the cupboards…”
“do I need a PID for consistent espresso at home?”
2026-09-05 · scheduled run
Perplexity“Yes — PID control holds brew temperature within about ±1°C, which keeps shots repeatable. Typical offsets and warm-up times are covered in this dialing-in guide…” (cites the client’s guide, never names the brand)
“top espresso machine brands to consider this year”
2026-09-04 · scheduled run
Gemini“Popular options include Moltara, Cremalio and Tavenne, each offering entry-level dual-boiler machines…” (the gap — this row becomes the fix roadmap)
Illustrative sample data. In a delivered report, every row opens back to the stored raw answer — verbatim text, citations, sources, and provider metadata.
FAQ
Frequently asked questions
How the free sample audit works, what monitoring covers, and where the evidence comes from.
See what AI says. Then fix it.
Send one brand. Get the answers, the sources, and the first gaps worth fixing.
No card. No call. No catch. Reply in 2 business days.