AI Visibility Report
Enterprise Tech Brand · Enterprise Technology · June 2026
Executive Summary
Overall AI Visibility
0/100
Ranked 3rd of 5 brands
Avg Mention Rate
0%
+4pp vs last cycle
Platforms Tracked
6
6 major AI engines
Queries Analysed
0
Varied formulations
Biggest Risk
Ranked 3rd overall — Cloud Leader A and AI Platform B consistently outrank this brand across all six AI platforms, particularly in AI/ML and security queries.
Key Gap
Claude (49/100) and Perplexity (58/100) show the weakest visibility. These platforms prioritise citation-backed authority — an area where competitors have invested heavily.
Biggest Opportunity
Productivity queries score 81/100 — the brand's strongest signal. Doubling down here while closing the AI/Security gap could move the brand to 2nd place within two cycles.
Platform Visibility Breakdown
Visibility score, mention rate, and sentiment across all six AI engines tested.
| Platform | Visibility Score | Mention Rate | Sentiment |
|---|---|---|---|
| ChatGPT | 72/100 | 43% | Positive |
| Perplexity | 58/100 | 31% | Neutral |
| Gemini | 65/100 | 38% | Positive |
| Claude | 49/100 | 22% | Neutral |
| Microsoft Copilot | 61/100 | 35% | Positive |
| Google AI Overviews | 54/100 | 28% | Neutral |
Visibility Score by Platform
Competitive Ranking
Composite AI visibility score across all six platforms. The client brand ranks 3rd of 5.
Gap to 2nd place: 8 points separate the client brand from AI Platform B. Closing this gap requires consistent improvement on Claude and Perplexity — the two platforms where the brand currently underperforms most.
Query Category Performance
Brand mention rate by query category across all platforms.
18 mentions across 300 queries
14 mentions across 300 queries
20 mentions across 300 queries
11 mentions across 300 queries
16 mentions across 300 queries
13 mentions across 300 queries
Strategic Insights & Recommendations
Prioritised actions to move from 3rd to 2nd place in AI visibility within two reporting cycles.
Close the AI & Security Visibility Gap
Publish in-depth technical content on enterprise AI security, zero-trust architecture, and compliance frameworks.
AI platforms currently rank the brand 3rd overall — the weakest scores are in AI/ML and Security query categories (47–58/100), where competitors dominate with authoritative long-form content.
Produce 4–6 pillar articles per month targeting queries like 'best enterprise AI security platform' and 'zero-trust cloud solutions'. Ensure structured data (FAQ, HowTo schema) is applied to each piece.
Strengthen Presence on Claude & Perplexity
Optimise content specifically for Claude and Perplexity citation patterns — these two platforms show the lowest visibility scores (49 and 58).
Claude and Perplexity rely heavily on authoritative, well-cited sources. Competitors ranking 1st and 2nd have significantly more Wikipedia entries, academic citations, and third-party reviews.
Build a citation-acquisition programme: earn coverage in TechCrunch, Gartner, Forrester, and G2. Update Wikipedia entries with neutral, factual product descriptions. Submit to industry analyst databases.
Dominate Productivity & Developer Query Categories
Double down on the two highest-performing categories (Productivity 81/100, Developer Tools 63/100) to build an unassailable lead before competitors close the gap.
These are the brand's strongest signals. Consolidating leadership here will lift the overall composite score from 71 toward the 80+ threshold needed to reach 2nd place in the competitive ranking.
Launch a 'Build with [Brand]' developer content hub. Publish weekly tutorials, integration guides, and open-source showcases. Activate developer advocates to create third-party content.
Increase Mention Rate on Google AI Overviews
Optimise existing content for Google's AI Overview citation criteria — concise, factual, answer-first formatting.
Google AI Overviews has the lowest mention rate (28%) among the six platforms. This platform is growing rapidly and will become a primary discovery channel for enterprise buyers.
Reformat top-performing blog posts into 'answer-first' structure: lead with a direct 2–3 sentence answer, then expand. Add FAQ sections. Ensure canonical URLs are clean and pages load under 2s.
Expected Impact
30-Day Target
74–76
Quick wins: content reformatting + citation outreach
90-Day Target
78–81
Mid-term: Claude & Perplexity authority building
6-Month Target
83–86
Long-term: move to 2nd place in competitive ranking
Research Methodology
AI Engines Tested
- ChatGPT (GPT-4o)
- Perplexity AI
- Google Gemini
- Claude
- Microsoft Copilot
- Google AI Overviews
Query Design
- 300 total queries across 6 categories
- Each query tested in 3+ formulations
- Buyer-intent phrasing (not brand-direct)
- Queries run in randomised order to reduce bias
Scoring Methodology
- Mention detected = 1 point (weighted by position)
- First mention = 3×, second = 2×, third+ = 1×
- Sentiment scored via NLP analysis of surrounding context
- Composite score = weighted average across all platforms
Bias & Hallucination Controls
- Each query repeated across 3 formulations
- Outlier responses flagged and excluded
- Raw AI responses stored for audit trail
- Human review applied to sentiment classifications
Disclaimer: AI engine responses vary across sessions and model versions. Scores represent a snapshot from June 2026 and should be interpreted as directional indicators, not absolute benchmarks. SelisAI recommends monthly tracking to identify trends over time.
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