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Banto

Your operations.One intelligent agent.

Banto connects your tools, remembers how you work, and turns plain questions into findings you can act on.

Try the previewSee the roadmap
Now building Skills and MCP
  • Connected to your data
  • Guided by your skills
  • Personalized through memory
Analyze our organic search performance over the last 30 days. Focus on non-brand traffic.
BantoWorked for 5.2s

  1. Recalled your context

    3 memories applied

    harborgoods.exampleBrand terms excludedQ4 goal: organic sign-ups

  2. Using SEO performance analysis

    Equal periods, brand filter, completeness check

  3. Queried Google Search Console

    searchanalytics.query · 2 calls · read-only

  4. Compared the two periods

    3 findings, 1 marked to verify

Non-brand clicks rose 10.2% against the previous 30 days, to 17,691. Most of the growth came from three /guides/ pages. Impressions grew faster than clicks, so page-two titles are the next thing to look at.

ReportSample data

Non-brand organic search

harborgoods.example · last 30 days vs previous 30

Clicks
17,691+10.2%
Impressions
650K+13.3%
CTR
2.72%−0.08 pt
Avg. position
14.2↑ 1.8

Daily non-brand clicks

  • SeenThree /guides/ pages carry 61% of the new non-brand clicks.
  • SeenCTR slipped on queries ranking 8–15, where titles may be underperforming.
  • CheckTwo category pages lost ~9% after Oct 14, possibly a layout change. Verify first.

Interactive preview with sample data and illustrative routing. Search Console, GA4 and memory arrive with the roadmap.

Ask like you would ask a colleague. Pick one to run it above.

Capabilities

Most AI starts from zero.
Banto starts from your work.

Your data, connected

Search Console, GA4 and the tools you approve, in one place.

Up next

Your context, remembered

Priorities, preferences and past decisions carry into every conversation.

Planned

Your methods, followed

Skills teach it how your team analyzes, so answers meet your standard.

In development

Answers you can act on

Plain questions in. Numbers, charts and next steps out.

Planned

Set it up once.
Ask whenever.

Connect once, teach it once. After that, every question starts from your context.

Step 1 of 4

Sign in to what you already use

Sign in to Search Console and GA4, choose the sites and properties, and approve any remote MCP servers. Access is read-only and revocable.

ConnectionsSample
  • Google Search Consoleharborgoods.example
  • Google Analytics 4Web property · 1 of 3 selected
  • Remote MCP serverhttps://mcp.example.com/sseAwaiting approval
Read-only access. Revoke any connection at any time.

Step 2 of 4

Teach it how you work

Tell it what you own, how you like analysis done and which skills to use. You confirm every lasting preference.

ContextSample

Memory

  • Owns harborgoods.example
  • Brand terms: harbor, harborgoods
  • Non-brand queries first
  • Q4 goal: organic sign-ups

Skills

  • SEO performance analysis
  • Traffic analysis
  • Marketing report

Step 3 of 4

Ask in plain words

Plain language, the way you would brief a colleague. The relevant context comes along without being repeated.

Compare non-brand clicks for /guides/ this month against last month, and flag anything unusual.

harborgoods.example Search Console 2 memories

Step 4 of 4

Review the finding, then act

It uses the tools and skills available, shows every step, and separates what it saw from what it suspects.

Run · 4 steps · 5.2sSample
  1. Recalled 2 memories
  2. Used SEO performance analysis
  3. Queried Search Console (2 calls)
  4. Compared the two months

Seen/guides/ non-brand clicks rose 18%, mostly from three pages.

CheckOne guide lost its featured snippet on Oct 19. Worth confirming.

Saved to Reports as “Guides, October vs September”

Tell it once. It remembers.

Context you set once applies to every task. You see, correct or delete any of it.

Planned
Pick a request

Memory

Using 4 of 6 for this request

  • Responsibility

    Leads SEO and content performance for the e-commerce team

    You told it · Sep 12

    Not needed

  • Website

    harborgoods.example, with Search Console and GA4 connected

    From your connections

    Used

  • Preference

    Analyze non-brand queries first. Brand terms: harbor, harborgoods

    You confirmed · Sep 14

    Used

  • Preference

    Short bullets, numbers before narrative

    You confirmed · Sep 20

    Used

  • Current goal

    Grow organic sign-ups through guide content in Q4

    You told it · Oct 1

    Not needed

  • Past context

    Category URLs were restructured on Oct 14

    You noted · Oct 15

    Used

You say

“From now on, analyze non-brand queries first.”

Saved as a preference after you confirm

You say

“Include brand queries this time.”

Used for this request only. Not saved.

A guess never becomes a fact. Hypotheses stay in the conversation where they were made; only what you confirm is remembered.

Skills bring the method. MCP brings the tools.

A skill is your method, written down. MCP is the open standard that lets the agent reach the tools you approve.

In development
Skills
skills/seo-analysis/SKILL.md

---

name: seo-analysis

description: Search Console performance by page and query

---

# Method

  1. 1. Compare equal-length periods
  2. 2. Exclude brand terms unless asked
  3. 3. Check the data is complete first
  4. 4. Separate observations from hypotheses

Connected tools

  • Google Search Consolesearchanalytics.queryIn use
  • Google Analytics 4runReportIdle
  • Remote MCP: docs serversearch_docs, get_pageIdle

Built in, or bring your own

Built-in skills cover Search Console and GA4 analysis. Install your own as a SKILL.md file: it is checked before use, and uploaded scripts never run.

Approved tools only

Connect an approved remote MCP server and the agent can discover its tools. Nothing is reachable until you approve it, and you can revoke it at any time.

Your data stays where it lives.

Principles built into the architecture. Design commitments, not certifications.

You authorize every connection

The agent reaches only the sources and properties you connected, read-only, and you can revoke access at any time.

Data is retrieved on demand

Analytics are queried when a request needs them, for the range that request needs, and fetched again next time.

No warehouse of your analytics

By design, the platform does not copy your raw GA4 or Search Console datasets into a store of its own.

Context kept apart from data

What the agent remembers about your work is managed separately from the analytics it reads.

Your account

Personal context

Preferences, business knowledge, active work

Relevant memories

One request

Agent run

Queried on demand

Stays at the source

Google APIs

Search Console and GA4 data remain with Google

  1. 1A request starts a run
  2. 2Relevant memories join it
  3. 3Google is queried, read-only
  4. 4The finding is kept, the raw rows are not
Simplified data flow for one request, with a sample question.

What works today. What comes next.

Each step ships behind its own privacy and quality gate. Statuses come from the plan the team builds against.

  1. Available

    Agent foundation

    The agent runtime the rest is built on.

    • Conversational agent

      Streaming answers, stop and new conversation

    • Tool registry

      Two safe tools: current time and percentage change

    • Service authentication

      Each service holds only the credentials it needs

  2. In development

    Skills and MCP

    Methods the agent follows and tools it can reach.

    • Installable skills

      Your own SKILL.md files, checked before use

    • Built-in operations skills

      Search Console SEO analysis and GA4 traffic analysis

    • Remote MCP servers

      Only servers and tools you approve

  3. Up next

    Search Console and GA4

    Your own Google data, read when a question needs it.

    • Google sign-in

      You choose which sites and properties

    • Search Console queries

      Clicks, impressions, CTR and position by page and query

    • GA4 queries

      Users, sessions and conversions by channel

  4. Planned

    Memory and workspace

    Context that carries forward, and work you can keep.

    • Personal memory

      Profile, preferences, business knowledge, active work

    • Charts and metric cards

      Produced from a conversation

    • Reports

      Structured summaries in the format you prefer

  5. Future

    Proactive intelligence

    From answering questions to noticing what matters.

    • Noticing changes

      Unusual movement in the metrics you care about

    • Investigating signals

      Checking tracking, seasonality and recent changes first

    • Suggesting next steps

      Options to review, never actions taken for you

Future

Today it answers.
Next, it notices.

The direction: an agent that watches the metrics you care about, investigates unusual changes and brings you options. You still decide.

Not available today. The card on this page is a concept, not a working feature.

Unusual changeConcept

harborgoods.example · Tuesday

Non-brand clicks to /products/ are 18% below a typical Tuesday.

  • Checked: tracking is healthy and impressions are stable
  • Possible cause: title changes shipped on Oct 22

Less busywork.
More clarity.

Bring your context once, ask in plain words, and review work you can trust.

Try the previewSee the roadmap