Lodestone Visibility Score
Median: 58
0255075100
Benchmark: Median for B2B analytics platforms is 58. Veritas Analytics scores 27 points below median, placing it in the bottom quartile for AI visibility in this category.
AI systems are actively routing buyers away from Veritas in 17 of 20 tested queries. At current visibility, Veritas is absent from the shortlists buyers are building before they ever visit a website.
Query Coverage
| Vendor |
Mentions |
Share |
|
|
|
18/20 90% |
|
|
|
16/20 80% |
|
|
|
14/20 70% |
|
|
|
3/20 15% |
20 queries tested across ChatGPT, Perplexity, and Gemini. Queries span 4 buyer intent categories: vendor comparison, alternative discovery, category education, and use-case matching.
Top 3 Gaps Found
"Best Tableau alternative for mid-market"
Veritas: absent
AI cited: Looker, ThoughtSpot, Sisense
"Data analytics tools for Series B companies"
Veritas: absent
AI cited: Tableau, Metabase
"Self-service BI tools 2025"
Veritas: absent
AI cited: Power BI, Qlik
Coverage by Platform
Veritas has zero presence on Gemini. Perplexity returns Veritas in 1 navigational query only — not in any category or comparison context.
Recommended Actions
1
Publish a dedicated "Tableau Alternative" landing page
Target the 6 highest-volume queries where Tableau is cited and Veritas is absent. AI systems use page titles, H1s, and structured content to map vendors to query intent — a purpose-built page signals category relevance in the specific context where buyers are comparing.
High Impact · 2–3 Weeks
2
Submit to G2 "Business Intelligence" category with updated positioning
Current category mapping is routing AI systems away from Veritas's core buyers. G2 reviews and category signals are indexed by ChatGPT and Perplexity. Recategorizing with "mid-market analytics" and "self-service BI" framing will shift how AI systems classify Veritas in comparison queries.
Medium Impact · 1 Week
3
Publish 2 case studies with "mid-market analytics" and "Series B data stack" framing
These are the contexts where buyers are searching and Veritas is invisible. Case studies with explicit buyer-stage and use-case framing are among the highest-signal content types for AI citation. Each study should name the buyer's growth stage, the problem type, and the outcome in measurable terms.
High Impact · 3–4 Weeks