AI visibility for business

Is ChatGPT recommending
your business?

Or your competitors? Millions of buyers now ask AI instead of Google. We test it with real ChatGPT queries, show you exactly why competitors win — and then fix it: your website, your listings, your content, your whole growing Company Aura.

We built this after watching ChatGPT recommend our clients' competitors. Run the free check — you'll see what AI says about you.
Jakub, the team behind CompanyAura & DocsAura
  • Piekarnia Bez Glutenu “Now AI engines can finally read who we are.” Piekarnia Bez Glutenu
  • Korycki & Graczyk “Visible where clients actually ask.” Korycki & Graczyk
  • DocsAura “Our SOPs write themselves now.” DocsAura
  • Spectrum Flare “Six client projects, one shared brain.” Spectrum Flare

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What we do

One growing Company Aura

Everything connects: the more AI engines can read, trust and learn about your company, the more they recommend it. We build that — layer by layer.

Start here 01

AI visibility

A free report shows whether ChatGPT recommends you — and what to fix. Then we fix it: attribute language, structured data, the listings AI actually cites.

02

A website AI can read

We rebuild what engines see: machine-readable identity, locality, your real differentiators in writing — without sacrificing how it looks to humans.

03

An AI brain for your company

Your operational knowledge — extracted from heads, chats and tickets into a living map that agents and your team can act on.

04

Content & automations

Monthly content AI engines learn from, refreshed listings, automated documents and workflows — visibility that compounds while you run the business.

The bottleneck shifted

Models are good enough. Your company's knowledge isn't.

Post-2025, model quality stopped being the limit on AI automation. The new bottleneck is unstructured operational knowledge — how your team actually handles refunds, pricing exceptions, incident response. It lives in heads, Slack, email, and tickets. Agents can't act on it. CompanyAura turns it into structure they can.

  • Extract from heads, Slack, email, tickets, databases — not just docs
  • Emit executable skill files agents can run — not wiki pages they have to read
  • Stay current automatically — where every prior "company knowledge" tool died

Not enterprise search. Not RAG-over-docs. A living operational map of how your company runs.

What CompanyAura does

A company brain agents can act on

Extract from where knowledge lives

Heads, Slack, email, support tickets, databases — pull the operational knowledge that runs your company, not just the docs that pretend to.

Slack · Email · Tickets · DBs

Emit executable skill files

Refund flows, pricing exceptions, incident playbooks — output as agent-ready skill files (MCP / SKILL.md compatible). Agents act, they don't guess.

Skill files · MCP · Claude · ChatGPT

A living operational map

Not enterprise search. Not RAG-over-docs. A structured representation of how your team decides — refunds, pricing, exceptions — kept current as decisions evolve.

Markdown · Git-backed · Versioned

Plug in any agent

Claude, ChatGPT, Cursor, your own custom agents — they all read and write through one MCP endpoint. Auth, audit log, and per-skill permissions included.

MCP · REST · Webhooks

Source-of-truth citations

Every skill, every claim, every answer links back to the Slack thread, ticket, or doc it came from. Audit anything. Trust isn't optional for high-stakes ops.

Citations · Diff history

Stays current — automatically

Where every prior company-knowledge tool died (Glean, Guru, Slab, Mem…). CompanyAura watches your team's actual practice and revises skills as decisions evolve — without anyone "doing documentation".

Continuous · No human upkeep
Case study · Spectrum Flare

Two founders, six client projects, one shared brain

A two-person studio juggling client work in parallel. Each project has years of decisions, custom patterns, and "we tried this once" moments. CompanyAura made them all queryable — so coming back to a project after three months feels like never having left.

Read case study
Spectrum Flare using CompanyAura across client projects
Projects in parallel 6 · one brain
Bez Glutenu Piekarnia using CompanyAura
Case study · Bez Glutenu Piekarnia

Five years of tribal knowledge — finally queryable

A small artisan bakery had years of WhatsApp threads, recipe tweaks, and supplier contacts living in one founder's head. CompanyAura turned that into a living wiki the rest of the team can actually use.

Read case study
Bus factor 1 → 7
What changes

Companies stop losing what they already know.

An hour a day
"We used to lose an hour a day digging through chats to find what we'd already decided. Now we just ask CompanyAura — and it answers, with the original message it came from."
Spectrum Flare
Spectrum Flare Two-founder studio
Months → 1 day
"Writing the documentation properly would have taken months — and nobody has time. CompanyAura read all our docs, tasks, and messages, then drafted the whole thing in a day. Now we just ask it questions and get answers, with quotes back to the source."
Spectrum Flare
Spectrum Flare Two-founder studio
Half my day back
"Half my day used to be phone calls — telling staff where the flour was, what time to bake what, which supplier we use for X. Now they ask CompanyAura. I get that time back for actually growing the business — or just enjoying life."
Bez Glutenu Piekarnia
Bez Glutenu Piekarnia Founder
5 years
"Five years of recipe iterations, supplier tweaks, customer feedback — all sitting in WhatsApp. CompanyAura read every thread and built the playbook we never wrote."
Bez Glutenu Piekarnia
Bez Glutenu Piekarnia Head baker
Case studies

Real teams, real wikis

Two early customers, two very different industries — same compounding effect: knowledge stops leaking, agents stop guessing.

Spectrum Flare Spectrum Flare
Spectrum Flare

"Six client projects, one shared brain — coming back to a project feels like never leaving."

Read case study
Bez Glutenu Piekarnia Bez Glutenu Piekarnia
Bez Glutenu Piekarnia

"Five years of WhatsApp recipe tweaks, finally readable. My head isn't the bottleneck anymore."

Read case study
How it works

Four steps from chaos to a living wiki

01

Connect

Hook up Slack, Notion, Drive, Linear. OAuth in minutes.

02

Ingest

CompanyAura reads history, extracts entities and decisions, files the first version of your wiki.

03

Maintain

Every new message updates the pages it touches. Cross-references stay correct. Stale claims get flagged.

04

Query

Claude, ChatGPT, your own agents — they all read and write through one MCP endpoint.

Build your company brain. Make your team agent-ready.

We're picking a small number of design partners. If most of your team's "how we actually handle X" lives in Slack, email, or someone's head — and you want an agent to act on it — we'd love to talk.