GEO for agencies

GEO your agency can prove.

Jincove is the usage-based GEO platform for 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 client-ready evidence and trend lines.

6 engines · every answer with citations & sources · scheduled tracking · API + MCP

Running scheduled prompts

The engines we monitor — not a client list.

ChatGPTChatGPT
PerplexityPerplexity
GeminiGemini
Google AI OverviewsGoogle AI Overviews
Google AI ModeGoogle AI Mode
CopilotCopilot
ChatGPTChatGPT
PerplexityPerplexity
GeminiGemini
Google AI OverviewsGoogle AI Overviews
Google AI ModeGoogle AI Mode
CopilotCopilot
ChatGPTChatGPT
PerplexityPerplexity
GeminiGemini
Google AI OverviewsGoogle AI Overviews
Google AI ModeGoogle AI Mode
CopilotCopilot
ChatGPTChatGPT
PerplexityPerplexity
GeminiGemini
Google AI OverviewsGoogle AI Overviews
Google AI ModeGoogle AI Mode
CopilotCopilot

Features

Evidence-grade GEO, in one workbench

Audit, monitor and report AI visibility for every client — with a receipt behind every number.

Mention rate
38%+6%
Named
38%
46 answers
Cited only
22%
26 answers
Absent
40%
48 answers

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 your client, and did it cite their domain. The gaps between the two become the fix roadmap.

ChatGPT
Perplexity
Gemini
AI Overviews
AI Mode
Copilot
Six engines, one contract

ChatGPT, Perplexity, Gemini, Google AI Overviews, Google AI Mode and Copilot — queried through a single REST or MCP call. One run = one prompt on one engine.

12.5K
Built for agency reporting

Pull runs into your own dashboards via API or MCP, or export client-ready evidence directly. White-label friendly, with credits pooled across your whole roster.

Share of voice
34%+5%
Your client
34%+5.2%
Competitor average
13%-1.8%
From answers to trend lines

Schedule the prompts your clients’ customers actually type. Watch visibility, share of voice and cited sources move week over week.

0

Answers stored

0

Mentioned

0

Cited

ChatGPT
2.5% mentions
ChatGPT
Perplexity
-1.2% mentions
Perplexity
Gemini
4.1% mentions
Gemini
Scheduled runs, on the record

Monitoring re-runs each client’s buyer questions on a cadence — weekly down to every 15 minutes — and flags a change only when it clears the sampling noise.

g
cited sourceg2.com
×12
r
cited sourcereddit.com/r/SEO
×9
c
cited sourceclutch.co
×7
g
cited sourceg2.com
×12
r
cited sourcereddit.com/r/SEO
×9
c
cited sourceclutch.co
×7
g
cited sourceg2.com
×12
r
cited sourcereddit.com/r/SEO
×9
c
cited sourceclutch.co
×7
g
cited sourceg2.com
×12
r
cited sourcereddit.com/r/SEO
×9
c
cited sourceclutch.co
×7
y
cited sourceyoutube.com
×6
m
cited sourcemedium.com
×5
l
cited sourcelinkedin.com
×4
y
cited sourceyoutube.com
×6
m
cited sourcemedium.com
×5
l
cited sourcelinkedin.com
×4
y
cited sourceyoutube.com
×6
m
cited sourcemedium.com
×5
l
cited sourcelinkedin.com
×4
y
cited sourceyoutube.com
×6
m
cited sourcemedium.com
×5
l
cited sourcelinkedin.com
×4
Answers with receipts

Every run returns the raw answer text, the citations inside it, and the sources behind it. When a client asks “says who?”, you open the record.

The method

How each record gets made

Every audit is a paper trail an agency can hand a client and defend line by line. Ask, capture, classify, report.

Ask a real buyer question
Ask a real buyer question
Not keywords — the actual prompts a prospect types before they buy. We build the set with you, per client, per category, then run it across ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode and Copilot.
Capture the answer and every source
Capture the answer and every source
The verbatim answer each engine returned, and the exact pages it cited to get there — the raw record, timestamped and stored.
Classify: named, only cited, or absent
Classify: named, only cited, or absent
The line that matters. Was the brand recommended by name, merely used as a source, or left out entirely — for every engine, every question.
Report with evidence your client can open
Report with evidence your client can open
Every number in the report opens back to the stored answer record — the verbatim text plus every cited source. When a client asks "says who?", you open the row.

Evidence

Evidence, not a score

No testimonial wall — here is the deliverable itself. Sample rows, shown the way your client receives them: 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…”

reddit.com/r/espressoseriouseats.comfervano.com
Named

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)

fervano.com/guides/dial-inen.wikipedia.org
Cited only

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)

seriouseats.comtechradar.com
Absent

Illustrative sample data. In a delivered report, every row opens back to the stored raw answer — verbatim text, citations, sources, and provider metadata.

Pricing

Usage-based GEO, priced for agencies

Everything runs on one credit. Monitoring, analysis and evidence draw from a single pool shared across every client — so your rate drops as your roster grows.

1 credit = 1 run · one prompt on one engine · failed runs are free

Sample audit

See where one client stands — free, run by hand.

$0

No card, no account, no sales call

  • One brand, one URL, one email
  • ChatGPT, Perplexity and Gemini
  • Mini evidence report in 2 business days
  • What each engine answered, who it cited, whether it named the brand

Studio

For a small roster getting started.

$0/mo

≈ $20 / 1,000 credits

  • 12,500 credits / month
  • Up to 5 client workspaces
  • 5 engines · daily monitoring
  • REST API + MCP & agent skills
  • Competitor tracking
Most agencies

Agency

For agencies managing clients at scale.

$0/mo

≈ $15 / 1,000 credits

  • 50,000 credits / month · shared pool
  • 8 client workspaces — add more, rate falls
  • All 6 engines · hourly checks
  • Read-only pitch workspaces for demos
  • Full white-label: domain, logo (coming soon)
  • Priority support

Large agency network? Negotiated volume from ~$12 / 1,000 credits — talk to us.

FAQ

Frequently asked questions

How the free sample audit works, what monitoring covers, and where the evidence comes from.

Jincove is an AI-visibility (GEO) platform built for agencies. We audit and monitor what AI answer engines - ChatGPT, Perplexity, Gemini, Google AI Overviews, AI Mode and Copilot - say about your clients, and hand back evidence reports where every row opens to a stored raw answer. We only serve agencies: SEO, PR and brand teams adding a GEO service line.

A human-run audit of ChatGPT, Perplexity and Gemini. Send one URL and one email - no card, no account, no sales call - and we reply within two business days with a mini report: what each engine answered, who it cited, and whether it named the brand. Paid work covers all six engines.

Yes - an LLM audit is the natural entry point for an agency adding GEO. It tells you which buyer questions surface a client, whether the answers name them or only cite their content, and which sources the engines lean on. From there, the audit sets the baseline, monitoring re-runs the same questions on a schedule, and every report row opens back to a stored answer your client can check.

More than once. AI answers drift across time and sampling, so a single snapshot is noisy by nature. Our monitoring re-runs buyer questions on a cadence from weekly down to every 15 minutes, diffs each run against the brand's own history, and reports a change only when it clears the sampling noise band.

No - and we'd be wary of anyone who does. Nobody controls what the engines say. We audit where a brand stands, your agency fixes the gaps it controls (or scopes the fixes with us), then we re-run the same questions to verify whether the answers moved.

No. Ontology, RAG and grounding work on the input side: they feed your own agents your own business. We work the output side - checking whether external answer engines name a brand and cite its domain. Two booleans per answer, each traceable back to the stored raw answer.

The data toolchain runs today and the web console is in early access. There is no instant online scanner - audits start with a human-run free sample. Send a URL through the contact page and ask about early access.
Jincove evidence drawer - every row opens back to a stored raw answer

Start with the free audit

Send us one brand. We’ll run it through the engines and send back the answers, citations, and sources — so the first report your client sees is already backed by evidence.

Free audit: ChatGPT, Perplexity and Gemini, run by hand. Paid work covers all six engines.