The agent-native AEO platform
AEO built natively for MCP.Made for technical marketers.Oh! And you get 1,000 weekly answers for $99
Your AEO metrics, analysis, and reports belong where you already work — Claude, ChatGPT, Cursor, Grok. We got sick of vendors capping us at 100 answers, so we built our own: 1,000 prompts a week for $99 a month.
Built MCP-first for your LLMs
- Claude
- ChatGPT
- Cursor
- Grok
Buyers ask everywhere. AEOMCP.ai collects every answer and serves it over MCP — so your trend lives in your LLM.
The dashboard is only the beginning
We're like the Costco of AEO. We give you quality answers in bulk at the lowest possible price.
Teams lose time moving data between dashboards, spreadsheets, briefs, reports, and AI assistants. And most vendors cap your prompts at the door, then sell the rest back tier by tier. Here's what your money actually buys, plan for plan — from their own published pricing.
What your money actually buys
- ✗Otterly.AI $489/mo · Premium400≈48,000/mo
- ✗Profound $399/mo · Growth1009,000/mo
- ✗Peec AI $495/mo · Advanced350≈31,500/mo
- ✗Rank Prompt $89/mo · Pro500≈2,000/mo
- ✓AEOMCP.ai $99/mo · Developer1,00016,000+/mo
Published plans, Sept 2026. ≈ figures computed from published cadence × engines.
Why we built AEOMCP
Built by technical marketers, for technical marketers.
Our team got tired of being capped on prompts — or paying the cash-grab to unlock more. So we built our own system and made it dirt cheap, so you can benefit from the same ultra AEO visibility we wanted for ourselves.
350+
technical marketers on the platform
- answers tracked weekly, platform-wide
- 1,400,000
- answers tracked daily on watchlists
- 70,000
Up to: 1,000 weekly prompts × 4 engines × 350 brands; daily = 50-question watchlists × 4 engines.
Who runs AEOMCP
select a segment
SEATTLE · 47.62° N
Built in Seattle
By engineers and performance marketers who needed this for their own brands.
MCP · SKILLS · AGENTS
AI workflows first — not an afterthought
We invest in MCP, skills, and agents, instead of building one more old-stodgy-2025 dashboard for you to check.
Inside your daily apps
Ask an AEO question. Watch the answer assemble.
The same aeomcp connector, inside Claude Cowork, ChatGPT, or Cursor. Pick a question and the evidence — charts, tables, next actions — renders right in the thread.
ASK AEOMCP
VISIBILITY
54%
+3 this wk
SHARE OF VOICE
41%
+2
AVG POSITION
#1.4
▲ 0.2
VISIBILITY VS COMPETITORS — 12 WEEKS
WebflowWordPressContentfulVisibility = the share of tracked CMS questions where your brand appears in the answer. Share of voice compares you to the competitors you track.
Built for agencies
Connect ten clients. Everyone works from their own LLM.
On one Agency plan, connect up to ten isolated client workspaces — each with its own prompts, answers, and history, drawn from 3,000 pooled weekly prompts. Add clients, generate their question sets, and ship reports straight over MCP. It's the easiest MCP platform to get results fast.
AEOMCP.ai
10 isolated workspaces
3,000 pooled prompts/wk · MCP
1.create_client_workspace
Add a client in one call
2.generate_buyer_questions
Spin up their prompt set
3.generate_brand_report
Ship the weekly report
Selected workspace
Webflow
Illustrative exampleworkspace-scoped token
Run from Claude, ChatGPT, Cursor, or Grok
get_visibility_summary({ workspace: "webflow" })
Your team runs it, or Webflow’s own team does — same tool, same scoped access. Webflow draws on the pooled plan — 3,000 weekly prompts, 250 daily watchlist slots — but its prompts, answers, and history stay its own, invisible to every other client.
Capacity you can understand
Start with one brand. Scale to a client portfolio.
Developer
$99/month
Best for: One technical team or brand.
- One brand workspace
- 1,000 questions tracked weekly across supported AI surfaces
- 50 daily watchlist questions across all four included AI engines
- 250 on-demand refreshes per month
- MCP, REST API, and webhooks
- Answer, citation, and competitor history (90 days)
Agency
For multi-client teams$399/month
Best for: Agencies building a repeatable AEO service.
- 10 isolated client workspaces
- 3,000 pooled weekly questions
- 250 pooled daily watchlist questions across all four included AI engines
- 1,000 on-demand refreshes per month
- 5 agency seats and 20 client viewers
- Workspace-scoped MCP access
- White-label reports, portfolio management, and approvals
Question vs. answer: one tracked question can run across each supported AI surface. For example, one question run on four surfaces may return up to four answers. Weekly questions, daily-watchlist questions, on-demand refreshes, and collected answers are separate usage concepts.
When does a question run?
Your full question set runs once per week on a scheduled day, spread across supported AI surfaces.
Uses weekly question slots — 1,000 on Developer, 3,000 pooled on Agency.
1,000 tracked questions × up to 4 surfaces = up to 4,000 collected answers per sweep.
Frequently asked questions
Answer engine optimization is the practice of improving how accurately and consistently a brand, product, or expertise appears in AI-generated answers. It includes measuring answers, understanding the sources models cite, and improving the information those systems can find and trust.
AEOMCP is designed so an authorized agent can query AEO evidence through the Model Context Protocol, not only through a dashboard. That makes it possible to investigate changes, compare competitors, create briefs, and prepare reports inside an agent workflow.
A question can be configured to run across each supported AI surface. One question run across four surfaces may create up to four collected answers. AEOMCP reports tracked questions and collected answers separately so usage is clear.
No. Technical marketers can use the product and its prepared workflows directly. Developers can go further with MCP, REST, webhooks, and custom skills.
Each client receives an isolated workspace for questions, history, users, and credentials. MCP access is workspace-scoped, while authorized agency users can manage the portfolio and pooled plan capacity.
No. Read and analysis workflows are the default. Any action performed through another connected system must be explicit, permissioned, and compatible with that system's approval controls.
Collection methods can vary by supported platform. AEOMCP publishes the method, context fields, retries, and limitations used for each surface so customers can interpret results responsibly.
Build your AEO operating system before your competitors do.
Track the answers that shape demand, understand why they change, and bring the evidence into the agent workflows your team already uses.
Developer at $99 a month, or Agency at $399 for ten client workspaces.