Keyword Visibility
Find out why AI assistants aren't recommending you — and fix it.
Keyword Visibility expands your target keywords into natural-language questions real people ask, then tests your chatbot's answers against five GEO scoring dimensions: relevance, clarity, authority, product mention, and citeability. Every weak answer comes with a specific, actionable improvement plan.
The Discovery Problem It Solves
Your content might be great, but if AI assistants can't find clear, extractable answers when users ask questions, you're invisible. AI prompts average 5× longer than traditional search queries — a bot may answer "pricing" well but fail on "what does it actually cost per month for a small team that needs Slack and HubSpot integrations?" Keyword Visibility tests both forms and shows you exactly where the gap is.
What It Does
- Takes your target keywords and expands them into natural-language questions across the buyer's journey (awareness → consideration → evaluation → decision)
- Also generates one conversational-form query per keyword — 15–30 words, first-person perspective, as users type to ChatGPT
- Asks your own ai12z chatbot each question (short-form and conversational) to see what it returns
- Scores every answer on 5 critical GEO dimensions
- Computes a format delta — the score difference between short-form and conversational queries, revealing depth gaps
- Identifies comparison coverage gaps — are you handling competitive comparison queries?
- Identifies amplification gaps — platforms where you have no presence (YouTube, Reddit, etc.)
- Generates a detailed audit report with per-keyword scorecards and format comparison section
- Provides exact recommendations for improvement with examples
Starting with no keyword list? Use the Generate Keywords button to let Claude suggest keyword phrases tailored to your brand and campaign focus.
How to Generate a Report
🛠️ Step 1: Navigate to Keyword Visibility
From the ai12z GEO portal, select Keyword Visibility from the navigation menu.
🛠️ Step 2: Click + Generate Report
Click the + Generate Report button in the top-right corner.
🛠️ Step 3: Enter Your Keywords
| Field | Description |
|---|---|
| Keywords | Enter the keyword phrases you want to track, one per line. Each line will be processed as an individual keyword phrase. |
Example keywords:
ai chatbot
enterprise ai
hipaa compliant ai
🛠️ Step 4: Submit and Wait
Click Submit Job. The analysis runs asynchronously. Click Refresh to check for completion.
🛠️ Step 5: View Your Report
Once complete, click View Report to see the full analysis.
Scoring Dimensions
Each answer is scored across five dimensions that combine into a weighted GEO Score:
| Dimension | Weight | What It Measures |
|---|---|---|
| Relevance | 25% | Does the answer directly address the question? |
| Product Mention | 20% | Is your product/service properly positioned? |
| Clarity | 20% | Is the answer concise and jargon-free? |
| Authority | 15% | Does it include specifics, data, or expert framing? |
| Citeability | 20% | Can AI assistants extract and attribute the answer? |
GEO Score = Relevance × 0.25 + Product Mention × 0.20 + Clarity × 0.20 + Authority × 0.15 + Citeability × 0.20
Key Outputs
- Average GEO Score (0–100) — Overall performance across all generated questions (short-form + conversational)
- Strong / Moderate / Weak Breakdown — Count of answers scoring 80+, 50–79, and below 50
- Per-Question Scorecards — Each question with all 5 dimension scores, answer excerpt, gap analysis, and specific recommendation
- Format Delta (Conversational vs. Short-Form) — Per-keyword score comparison with an insight sentence interpreting the gap
- Comparison Coverage — How well you handle competitive comparison queries
- Amplification Gaps — Platforms where you're missing presence (YouTube videos, Reddit discussions, etc.)
- Top Gaps Summary — 3–5 most common weaknesses across all answers
- PDF Report — Comprehensive audit with keyword breakdown and format comparison section
Interpreting the Format Delta
| Delta | Meaning |
|---|---|
| > +5 | Content handles depth well — conversational queries score higher than short ones |
| −5 to +5 | Consistent — content performs similarly in both formats |
| < −5 | Depth gap — short queries answered well, but longer context-rich questions expose content gaps |
Understanding the Report Table
| Column | Description |
|---|---|
| Date | When the report was generated |
| Keywords | The keyword phrases that were analyzed |
| Summary | Number of keywords and expansions processed |
| Report | Link to view the full report |
Perfect For
- SEO teams measuring AI visibility
- Content teams improving answer quality
- Product marketing ensuring competitive positioning
- Knowledge base managers optimizing documentation
Example Use Case
An enterprise AI platform tests 15 keywords like "enterprise chatbot", "HIPAA compliant AI", and "secure AI deployment". The audit reveals weak citeability scores — answers are accurate but too conversational for AI assistants to extract. They restructure their knowledge base with clear, attributable statements and see a 3x increase in AI assistant recommendations within 30 days.