Velocibid

Competitive Intelligence

Battlecards, competitor detection, and counter-positioning engine.

Velocibid's Competitive Intelligence system automatically detects competitors mentioned in RFP documents and generates AI-powered counter-positioning to help you differentiate your proposal.

Battlecard Database

Navigate to Settings → Competitors to manage your competitive battlecards. Each battlecard captures structured intelligence about a competitor:

Their Strengths

What the competitor does well — areas where you need to be prepared.

Their Weaknesses

Known gaps, slow response times, or limitations you can exploit.

Our Advantages

Where your solution objectively outperforms theirs.

Counter Messaging

Objection → Response pairs. Pre-built answers to common competitive objections.

Battlecards are organization-wide and accessible to all team members. Only admins can create, edit, or delete them.

Automatic Competitor Detection

When you open a project, click Scan Competitors in the competitor alert banner to analyze your uploaded RFP documents. The system uses two detection methods:

  1. Keyword Matching — direct name matching against your battlecard database for instant hits.
  2. AI Detection — the LLM scans for implicit competitor references like "incumbent provider," "current vendor," or product names that map to known companies.

Each detection includes a context snippet showing where the mention appears and a sentiment tag indicating whether the RFP views the competitor positively, negatively, or neutrally.

The Competitor Alert Banner

When competitors are detected, an amber alert banner appears at the top of the project page showing:

  • Number of unique competitors found
  • Competitor name badges for quick identification
  • Expandable detail cards with context quotes and sentiment
  • A Counter-Position button for each competitor

Counter-Positioning Engine

Click Counter-Position on any detected competitor to generate AI-powered counter-messaging. The engine combines:

  • Your battlecard data (strengths, weaknesses, advantages, counter messaging)
  • The specific RFP context (what the client is looking for)
  • AI analysis to produce tailored positioning suggestions

Each suggestion includes:

Theme

A specific competitive angle (e.g., "Innovation Speed", "Support Model")

Suggestion

A 1-2 sentence positioning recommendation for your proposal

Talking Points

3-5 specific, actionable points to weave into your responses

Integration with Win Probability

The number of detected competitors feeds into the Competition Level factor in Win Probability scoring. More competitors detected means a tougher bid environment, which is reflected in your win score. This creates a feedback loop:

  1. Scan for competitors → detections stored
  2. Run Win Score → competition factor uses detection count
  3. Use counter-positioning → improve answers
  4. Recalculate Win Score → see improvement

Best Practices

  • Build battlecards proactively — add your top 5-10 competitors before you need them. The richer the data, the better the counter-positioning.
  • Scan every project — even if you don't expect competitors, the AI may find implicit references.
  • Use counter-positioning during writing — keep the alert banner expanded while drafting answers to weave in differentiators.
  • Update battlecards regularly — competitive landscapes change. Review and refresh battlecards quarterly.
  • Review sentiment — if the RFP views a competitor positively, you need stronger counter-positioning in that area.