What exactly does Auxillary AI do?

It is an AI copilot widget that integrates into a B2B SaaS product. Users chat with it to retrieve information, execute actions and get step-by-step guidance, while your existing interface remains unchanged.

How long does integration take?

You point the copilot at your knowledge sources (documents, links, database connections) and define the API endpoints it may call. Then you embed the provided code snippet. Vendors describe the typical rollout as roughly an hour of configuration.

Does it include analytics and privacy controls?

Yes. Analytics cover user engagement and popular functionality, and sensitive flows can be routed or masked so private data is not exposed unnecessarily.

How is pricing structured?

The advertised flow is pay-as-you-go on message volume. Smaller plans start around $20 per month and enterprise plans around $800 per month, with a small free message credit for new registrations. Exact limits should be confirmed with the vendor.

Does it support more than one language?

The copilot handles multiple languages, so a single integration can serve international users without separate builds.

What is Auxillary AI's monthly traffic and growth trend?

Auxillary AI currently receives 0 monthly visits, with a month-over-month traffic change of +0 (0% growth rate). Its primary source market is Global (— share), including 0 direct visits/mo and 0 organic search visits/mo.

Is Auxillary AI free? What is its pricing model?

Auxillary AI operates on a Paid, Contact for Pricing pricing model. Pay-as-you-go based on monthly message volume. The Growth plan starts from around $20 per month and the Enterprise plan from around $800 per month, with volume sliders for higher tiers and annual billing offering roughly 20% savings. New registrations receive a small free message credit ($10-$20 range depending on the offer shown). Custom and larger volumes are handled through a sales conversation. Supported billing and checkout platforms include: not listed.

Auxillary AI — AI Tool Traffic (0/mo), Pricing, API & Alternatives

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About Auxillary AI

Data Retrieval From Your Sources

Connect documents, website links, API endpoints and databases so the copilot can answer questions with your own product knowledge rather than generic output.

Action Execution via API

Expose concrete actions through your API, letting users complete tasks such as drafting replies, scheduling follow-ups or updating records by describing what they need.

Seamless Multi-Step Flows

Combine lookups and actions into multi-step dialogues so a single conversation can gather context and then carry out a workflow.

Proactive Guidance and Onboarding

The assistant proactively explains features and surfaces relevant next steps, doubling as an onboarding guide and a 24/7 first-line support agent.

Conversation Analytics and Observability

Track how users engage, which features they reach for, and how conversations trend so product teams can act on real usage signals.

Auxillary AI targets a common problem for B2B software: powerful platforms with deep feature sets that users never fully explore. By layering a conversational copilot over the existing interface, it turns menu navigation into dialogue. Users ask a question and get a direct answer; they describe an outcome and the copilot performs the corresponding action through your API. The interface itself does not need to be rebuilt.

The workflow runs in four short steps. You first supply the data the copilot should rely on, such as documents, website links, API endpoints or database connections. Next you register the actions and flows users are allowed to perform, with the precise endpoint and inputs for each. Then you copy an embed snippet into your product. Finally, you open the conversations dashboard to watch real interactions and iterate.

Because the copilot is grounded in your own content and constrained to actions you define, it is meant to behave as a dependable product assistant rather than an open-ended chatbot. Analytics on top of the conversations help teams spot popular features and refine onboarding, while fallback paths keep unusual requests from becoming dead ends.

High-Impact Use Cases for Auxillary AI

CRM and sales teams

Conversational CRM operations

Let sales reps ask about pending deal tasks, check today's updates, draft replies and schedule follow-ups without leaving the conversation view.

Customer support leads

First-line support deflection

Support knowledge is answered instantly and 24/7, with unusual requests routed to a human agent instead of hitting a wall.

Product and onboarding managers

Guided onboarding and education

Turn the copilot into a guided tour that explains features, answers questions and helps new accounts reach value faster.

Business intelligence users

Self-serve data questions

Teams query performance metrics and generate reports through chat, making dashboards more accessible to non-analyst users.

Rank	AI Tool	Monthly Visits	MoM Growth	Direct traffic share	Pricing	Head-to-Head
●	Auxillary AI	0	0%	—	Paid, Contact for Pricing	Current
1	Chatbot App	2.17M	-9.7%	23% direct	Freemium	vs Chatbot App
2	Pylon	284.89K	+6.1%	81% direct	Paid	vs Pylon
3	Intercom	4.47M	+2.7%	80% direct	Free Trial, Paid	vs Intercom
4	DocsBot AI	495.28K	-3.8%	18% direct	Freemium	vs DocsBot AI
5	Jarvis AI	288.43K	-3.8%	25% direct	Freemium	vs Jarvis AI
6	Kommunicate	59.58K	-15.9%	40% direct	Free Trial, Paid, Contact for Pricing	vs Kommunicate

Auxillary AI

Why Choose Auxillary AI

Watchouts & Trade-offs

Multi-Angle Perspectives

Traffic Acquisition Breakdown