Simulate how AI Agents such as Muse, Grok Bot, Instinct and Dot choose and use your API or MCP
See where AI agents drop off, from finding your API or MCP to finishing the task, and which fixes turn them into paid usage and revenue.
Preview of the AINET dashboard: AI Mindshare score, share of answers, accuracy, mindshare over time by competitor, results by AI model, and a ranked list of recommended fixes.
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Your next users ask AI first
Traders, builders and funds now ask ChatGPT which chain to build on, which DEX to use and which token to research. Kaito tells you who's winning Twitter. AINET tells you who's winning GPT.
Your AI customer journey leaks at every step
Agents now find, compare and call APIs on behalf of their users. Every step where they stall is usage and revenue you never see.
Can agents find you?
Your API or MCP has to show up for the task the user actually asked for, not only when someone searches for you by name.
Will they choose you?
Agents compare the alternatives and pick whichever API or MCP looks like the best fit for what the user wants done.
Can they finish the job and pay?
Docs, parameters, error recovery and payment steps all have to work, so the task gets done and usage becomes revenue.
See where agents drop off. Fix what’s blocking them.
AINET measures every step from discovery to a paid, finished task, in one repeatable loop.
Know where you win and lose
Selection rate by task and by agent, and who wins when you don't.
Track competitor moves
When a rival ships new docs, an MCP server or a price change, see how agents' choices shift.
Follow the agent journey
From discovery to selection to a paid, finished task. See exactly where agents drop off.
Ship the fix, then retest
Every finding comes with a concrete change to your docs or API, and a retest under the same conditions.
One loop, from task to fix
AINET maps the tasks agents get, simulates them end to end, and tells you exactly what to change.
Map tasks. Know what agents are asked to do: the tasks, volumes and personas behind your category.
Built on what agents actually do
Every task agents take on and every choice they make, in one living map of your market.
Know what agents are asked to do
Task volumes by intent across agents, and where demand is moving before your dashboards notice.
See which agents pick you
Selection rate for every agent, against your category, and who they pick when it isn't you.
Agent analytics
See which agents crawl, call and cite your docs, endpoints and MCP tools.
Benchmarking
Compare your selection rate with peers in your category, task by task.
Fact check
Catch agents quoting the wrong price, rate limit or endpoint before users do.
Machine payments
Follow x402 and MPP payments from the first call to settlement.
Bring your own GEO stack. We handle the agents.
GEO dashboards are a commodity now. Keep the one you already use, connect your own ChatGPT, Claude or Gemini subscription, and run AINET's agent simulations on top.
Keep your GEO tool
Import prompts, rankings and citations from the platform you already pay for. No migration and no duplicate tracking.
Use your own AI subscription
Run simulations on your ChatGPT, Claude or Gemini plan or API key. You pay the model provider directly, not us twice.
We do what GEO can't
GEO tells you what models say. AINET tests what agents do: find, choose, call and pay for your API or MCP.
Pricing
Request a trial- Public agent leaderboard by category
- Top-level selection scores
- 7-day history
- Trending gainers and losers
- Agent simulations across Muse, Grok Bot, Instinct and Dot
- Full journey, from discovery to paid task completion
- Competitor benchmarking, up to 5 rivals
- Ranked fixes and controlled retests
- Bring your own GEO data and AI subscription
- 90-day history, alerts and API access
- Unlimited tasks, agents and rivals
- Custom agent personas and harnesses
- White-label reports
- SSO, SLA and priority support
Not sure yet? We'll run a free agent report on one of your API tasks.
Get a free reportGet your free AI visibility report
See your scores, the prompts you lose, and the fixes that move them. Then decide if you want the full dashboard.
FAQs
The share of AI-generated attention your project captures: how often, how early, how accurately and how strongly large language models recommend you when people ask about your category.
Win the AI answer
See how AI talks about your project before your users do.