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Aomni review

An AI research agent for account intelligence and prep.

AI SDR & agentsFree planSan Francisco, CA
7.4CRB scoreVisit Aomni
Aomni product screenshot
The verdict

A sharp research agent for teams that sell into complex accounts.

Best for: AEs and ABM teams who need rich account intelligence fast.

AI-stack fit

42/100

Aomni has no MCP server and is not listed in the official MCP registry, so assistants like Claude cannot drive it directly. It also publishes no public REST or GraphQL API; only native app integrations are offered, so custom programmatic access is not available.

MCP support

No MCP server yet

Public API

None

Works with
SalesforceHubSpotSlack

What's good

  • Deep automated account research and battlecards
  • Saves hours of pre-call prep

What's not

  • Research focus, not a full sending engine
  • Custom pricing

Aomni pricing

Free; Pro $300/month. Verified 2026-06-04.

PlanPriceBest for
Starter$0 (free, no commitment)Test the research output for free.
Pro$300/month (billed monthly, up to 3 seats; +$100/mo per extra seat)For active sellers who need unlimited research.
EnterpriseCustom (annual)For teams needing CRM sync and bulk research.

Who Aomni is for

Aomni is for AEs and account-based teams who sell into large, complicated accounts and spend hours prepping for every call. If your deals involve a buying committee, a competitive field, and a discovery process where showing up uninformed loses you the room, Aomni does the legwork: it reads the company, maps the stakeholders, finds the pain points, and hands you a brief you can actually use. Strategic sellers at enterprise vendors are the core buyer, and Aomni points to logos like AMD, Oracle, and NVIDIA to make the point.

It is a weaker fit if you want a full outbound machine. Aomni researches and drafts, but it is not built to run thousands of cold emails through warmed-up inboxes. If your problem is volume sending and deliverability rather than account depth, a dedicated AI SDR like 11x or a turnkey prospecting platform like Apollo will fit better. Aomni earns its keep when the research itself is the bottleneck.

What Aomni actually does

The product is an AI research agent pointed at accounts. You give it a company, and its agents pull from 20-plus sources and assemble a structured brief: company overview, recent developments, stakeholder mapping, identified pain points, the competitive landscape, and recommended outreach angles. Aomni says it collects over 1,000 data points per account and that this saves roughly three hours of prep per prospect. Those are vendor numbers, so treat the close-rate claims with the usual skepticism, but the core job, turning a name into a usable brief in minutes, is real and it is the thing the product does best.

On top of the research, Aomni drafts. It can generate personalized 1:1 sequences, emails, and LinkedIn messages built on the intelligence it just gathered, so the outreach references the account's actual situation instead of generic filler. There is also a chat interface for interrogating an account, which is useful when you want one specific answer rather than the whole report.

Battlecards and pre-call prep are the standout

Where Aomni is strongest is the moment right before a call. Instead of opening ten browser tabs and skimming a 10-K, you get a battlecard: who the stakeholders are, what the company is dealing with right now, where a competitor might be lurking, and a few angles to open with. For a rep juggling 30 active accounts, that compression of research into something readable is the whole pitch. It is closer to having a researcher on staff than to a data tool, and that framing is what separates Aomni from a contact database.

The flip side is scope. Aomni is research-first, not a sending engine, so you still need a CRM and an outreach tool around it. Pricing is also quote-driven at the top end, which makes it harder to size before talking to sales.

Where Aomni lands on AI-stack fit

Aomni scores 42 on CR Buddy's AI-stack-fit scale, which is below the middle of the AI SDR category. The product is genuinely agentic in its design: the research itself runs as autonomous agents across many sources, which is more AI-native than most tools that bolt a chatbot onto a static database. It integrates with Salesforce, HubSpot, Slack, Gmail, Outlook, and LinkedIn, so the briefs land where your team already works.

The gap is external control. Aomni has no public MCP server, so an assistant like Claude cannot drive it directly the way it can drive an MCP-native tool. It also does not publish a public REST or GraphQL API; the only programmatic reach is through the native app integrations it advertises, not endpoints your own code can call. If agent-controllability or custom integration is a hard requirement for your stack, Aomni is a poor fit until that changes.

Pricing notes

Aomni's published structure has three levels. There is a free Starter tier ($0, no commitment) that includes AI account research, sales strategy, chat, and personalized sequences, which is a genuine way to test the output before paying. The Pro tier is $300 per month billed monthly, covers up to 3 seats with extra seats at $100 per month each, and unlocks unlimited research plus email and LinkedIn integrations. Enterprise is custom-quoted, billed annually, and adds CRM integration, bulk research, onboarding, and priority support.

Pricing in this category changes often, so verify the current tiers, seat counts, billing period, and what each level unlocks on Aomni's pricing page before you buy. Do not budget off a number you read in a review, this one included.

The verdict

Aomni is a sharp research agent for teams that sell into complex accounts, and that is exactly the job it should be hired for. If your reps lose time to manual prep and your deals reward showing up informed, the briefs and battlecards pay for themselves quickly. Just go in knowing it is a prep and intelligence layer, not a full outbound system, so you will still need a CRM and a sending tool alongside it. The free Starter tier makes it low-risk to try the output on a few of your own accounts first.

Weighing options? 11x is the pick if you want an autonomous SDR that also sends, and Apollo covers enrichment and sequencing in one turnkey platform. See the full best ai-sdr roundup for the head-to-head.

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