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BrandJet AI Platform Help

Help the user with BrandJet AI platform questions — from multi-channel outreach and unified inbox through brand monitoring, AI visibility tracking, lead discovery, Artemis AI agent, and integrations.

Step 1 — Gather context

If references/learnings.md exists, read it first for accumulated knowledge.

Ask the user:

1. What area of BrandJet do you need help with?

- A) Multi-channel outreach — email, LinkedIn, Twitter/X, WhatsApp, Instagram, Telegram sequences - B) Unified inbox — managing replies across channels, AI sentiment categorization - C) Brand monitoring — tracking mentions across social media, news, forums - D) AI Visibility Monitoring — tracking brand mentions in ChatGPT, Claude, Perplexity, Gemini - E) Lead discovery — finding contacts from the 700M+ database, AI enrichment - F) Social listening — buyer intent signals, keyword tracking - G) Email warmup — warming up mailboxes for deliverability - H) Artemis AI agent — conversational AI for GTM workflows, autonomous channel responses - I) Integrations — Slack, HubSpot, Attio, Reddit, YouTube, webhooks - J) Team & admin — member access, role-based controls, billing, plan limits - K) Something else — describe it

1. What's your role?

- A) Sales rep / AE / BDR - B) Sales manager / team lead - C) Marketing / brand manager - D) RevOps / Sales Ops - E) Founder / solo seller - F) Other

1. What are you trying to accomplish? (describe your specific goal or question)

If the user's request already provides most of this context, skip directly to the relevant step. Lead with your best-effort answer using reasonable assumptions (stated explicitly), then ask only the most critical 1-2 clarifying questions at the end — don't gate your response behind gathering complete context.

Note: If the user needs a specialized skill, route them there with a brief explanation of why that skill is a better fit.

Step 2 — Route or answer directly

If the request maps to a specialized skill, route:

• Cadence strategy / sequence design → /sales-cadence
• Contact enrichment / data hygiene → /sales-enrich
• Cross-platform deliverability → /sales-deliverability
• Social listening strategy (platform-agnostic) → /sales-social-listening
• AI visibility strategy (platform-agnostic) → /sales-ai-visibility

Otherwise, answer directly from platform knowledge using the reference below.

Step 3 — BrandJet platform reference

Provide module-by-module guidance based on the user's area:

Multi-channel outreach

• What it is: Coordinated outreach sequences across email, LinkedIn, Twitter/X, WhatsApp, Instagram, and Telegram with a visual drag-and-drop workflow builder
• Key concepts: Multi-channel sequences = coordinated outreach flows across channels, steps = individual touchpoints, workflow builder = visual drag-and-drop editor for designing sequences
• Channel support: Email, LinkedIn, Twitter/X, WhatsApp, Instagram, Telegram — all managed from one interface
• Best practices: Start with 2-3 channels before adding more, personalize per channel (don't copy-paste the same message), stagger touchpoints to avoid overwhelming prospects

Unified inbox

• What it is: A single inbox that aggregates replies from all outreach channels with AI-powered sentiment categorization
• Key features: View and respond to replies across all channels in one place, AI auto-categorizes sentiment (positive, negative, neutral, interested), filter by channel, campaign, or sentiment
• Best practices: Check the inbox daily, prioritize positive-sentiment replies, respond within 1 hour for best conversion rates

Brand / social monitoring

• What it is: Tracks brand mentions across social media platforms, news sites, and forums in real time
• Key features: Monitor your brand, competitors, or industry keywords across social platforms, news, and forums. Get alerts for new mentions.
• Best practices: Set up monitoring for your brand name, product names, and top 2-3 competitors. Review mention sentiment weekly.

AI Visibility Monitoring

• What it is: Tracks how and when your brand is mentioned in AI model responses — ChatGPT, Claude, Perplexity, Gemini
• Key concepts: Monitors what AI models say about your brand when users ask relevant questions. Tracks mention frequency, sentiment, and positioning relative to competitors.
• Important: Accuracy depends on query design — LLMs produce different answers depending on how the question is phrased. Test multiple query variations for reliable tracking.
• Best practices: Track 5-10 key queries your buyers would ask AI models, monitor weekly, compare your visibility against competitors

Lead discovery

• What it is: Access to a 700M+ contact database with AI-powered enrichment for finding and qualifying prospects
• Key features: Search by industry, company size, title, location, and more. AI enrichment adds verified emails, phone numbers, and social profiles.
• Plan limits: Starter = 1K verified leads/month, Pro = 10K verified leads/month. These limits can exhaust quickly at high volume — plan your searches carefully.
• Best practices: Use tight filters to avoid burning through lead credits on low-quality matches, verify leads before adding to outreach sequences

Social listening & buyer intent

• What it is: AI-identified purchase readiness signals from social media activity and keyword tracking
• Key features: Track keyword signals across social platforms. Starter = 10K keyword signals/month, Pro = 50K signals/month. Identify prospects showing buying intent.
• Best practices: Focus on high-intent keywords (competitor mentions, pain-point phrases, purchase-related terms), act on signals within 24-48 hours

Email warmup

• What it is: Automated email warmup included in all plans — no additional cost, unlimited warmup accounts
• Key features: Gradually increases send volume on new mailboxes to build sender reputation. Included at no extra cost on all plans.
• Best practices: Warm up new mailboxes for at least 2-3 weeks before launching outreach. Don't skip warmup even if you have an established domain — new mailboxes need it.

Artemis AI agent

• What it is: Conversational AI agent and MCP layer for executing GTM workflows through natural language commands
• Key concepts: "Artemis" = BrandJet's AI agent that controls the platform via conversation. Can execute multi-step workflows, set up sequences, and manage campaigns through natural language.
• AI Agents: Autonomous responders that can reply to social mentions and messages across channels without manual intervention
• Important: Artemis and the MCP layer are newer features — documentation may be limited. Start with simple workflows and build complexity gradually.

Website analytics

• What it is: Built-in website visitor analytics to track traffic and engagement alongside outreach performance
• Key features: Track visitors, page views, and engagement metrics without needing a separate analytics tool

Team management

• What it is: Role-based access controls for team members
• Key features: Invite team members, assign roles, control access to campaigns, leads, and settings

Integrations

• Native integrations: Slack (notifications), HubSpot (CRM sync), Attio (CRM sync), Reddit (monitoring), YouTube (monitoring)
• Webhooks: Custom webhooks available for event-driven automation
• No public API: BrandJet does not have a documented public API. Integration is webhook-based — push events to your systems, but you cannot pull data programmatically.

Pricing reference

• Starter: $60/month — 1K verified leads/month, 10K keyword signals, 1 social account included
• Pro: $200/month — 10K verified leads/month, 50K keyword signals, unlimited competitor tracking, priority support
• Annual billing: Saves 20%
• Additional social accounts: $17-20/month each beyond the included account
• Free trial: 7 days, no credit card required
• AppSumo: Lifetime deal available on AppSumo

BrandJet data model

Core entities — understand these to navigate the platform:

Step 4 — Actionable guidance

Based on the user's specific question:

1. Step-by-step instructions — numbered steps to accomplish their goal in BrandJet
2. Configuration recommendations — specific settings to change, with navigation paths where known
3. Common pitfalls — what can go wrong and how to avoid it
4. Verification — how to confirm the change worked
5. For integration questions — note that BrandJet uses webhooks, not a public API. Design integrations around push events.

Gotchas

• No public API. BrandJet integrates through webhooks only. You cannot pull data programmatically via REST API. Design automations around webhook push events to your systems.
• Lead limits burn fast. Starter gives 1K and Pro gives 10K verified leads per month. Broad, unfiltered searches can exhaust credits quickly. Always use tight filters and plan monthly usage.
• LinkedIn automation requires gradual ramp-up. New LinkedIn accounts sending too many connection requests or messages risk restrictions. Start with 10-15 actions/day and increase slowly over 2-3 weeks.
• AI Visibility Monitoring accuracy varies. LLMs give different answers depending on prompt phrasing, timing, and model version. Don't rely on a single query — test multiple variations and track trends over time, not individual responses.
• Additional social accounts cost extra. Only 1 social account is included on Starter. Each additional account is $17-20/month. Budget for this if you plan multi-platform monitoring.
• Artemis MCP is new. Documentation may be limited and features may change. Start with simple workflows before attempting complex multi-step automations.
• The feature set is large. New users can feel overwhelmed. Start with one module (outreach or monitoring) and expand once comfortable. Don't try to configure everything at once.
• Self-improving: If you discover something not covered here, append it to references/learnings.md with today's date.

Step 5 — Related skills

• /sales-cadence — Design multi-channel outbound cadences (platform-agnostic strategy that works with BrandJet sequences)
• /sales-deliverability — Cross-platform email deliverability — SPF/DKIM/DMARC, warmup, inbox placement
• /sales-social-listening — Social listening strategy across platforms
• /sales-enrich — Enrich contacts with emails/phones before importing
• /sales-ai-visibility — AI visibility monitoring across LLMs (platform-agnostic strategy)
• /sales-do — Not sure which skill to use? The router matches any sales objective to the right skill. Install: npx skills add sales-skills/sales --skill sales-do

Examples

Example 1: Setting up multi-channel outreach

User says: "How do I create a sequence in BrandJet that uses email and LinkedIn?" Skill does:

1. Walks through the visual workflow builder to create a new multi-channel sequence
2. Explains how to add email and LinkedIn steps with appropriate delays between touchpoints
3. Advises on LinkedIn ramp-up for new accounts to avoid restrictions
4. Recommends personalizing messaging per channel rather than using identical copy Result: User has a multi-channel sequence configured with email and LinkedIn touchpoints and understands safe LinkedIn automation practices

Example 2: Brand monitoring in AI models

User says: "I want to track whether ChatGPT and Claude mention my brand when users ask about our category" Skill does:

1. Explains the AI Visibility Monitoring module and how it tracks mentions across ChatGPT, Claude, Perplexity, and Gemini
2. Guides setup of monitoring queries based on category-relevant questions buyers would ask
3. Warns that LLM responses vary by prompt phrasing — recommends testing multiple query variations
4. Suggests tracking competitors alongside their brand for relative positioning Result: User has AI visibility monitoring configured with multiple query variations and understands the limitations of LLM response consistency

Example 3: Managing lead credits efficiently

User says: "I'm on the Starter plan and already used half my leads this month. How do I make them last?" Skill does:

1. Explains the 1K/month verified lead limit on Starter
2. Recommends tightening search filters (industry, company size, title) to reduce low-quality matches
3. Suggests qualifying leads with social listening signals before pulling verified contact info
4. Discusses upgrading to Pro (10K/month) if volume needs consistently exceed Starter limits Result: User has a strategy for conserving lead credits and knows when upgrading makes sense

Troubleshooting

Overwhelmed by features

Symptom: New user unsure where to start — too many modules and settings Cause: BrandJet combines outreach, monitoring, lead discovery, and AI agents in one platform Solution: Pick one primary use case to start. For outreach-first users: set up email warmup, then create a single-channel email sequence, then expand to multi-channel. For monitoring-first users: configure brand monitoring, then add AI visibility tracking. Add modules one at a time.

LinkedIn account restricted after automation

Symptom: LinkedIn shows warnings or temporarily restricts the account after starting BrandJet outreach Cause: Too many automated actions too quickly on a new or low-activity LinkedIn account Solution: Reduce daily LinkedIn actions to 10-15 per day. Warm up gradually over 2-3 weeks. Ensure the LinkedIn profile is complete and has regular organic activity. Pause automation until restrictions are lifted.

Lead credits exhausted mid-month

Symptom: Ran out of verified leads before the billing cycle resets Cause: Broad search filters pulling too many unqualified contacts, or high-volume prospecting on the Starter plan Solution: Review search history and tighten filters for remaining campaigns. Use social listening signals to pre-qualify before pulling verified contact data. Consider upgrading to Pro for 10K leads/month if this is a recurring issue. Credits reset at the start of the next billing cycle.