Dakota owns fundraiser intent.
Preqin leads on volume. Dakota leads on buyer trust.
25-query audit across ChatGPT, Gemini & Claude. Dakota Marketplace is cited on 43 of 75 responses (57.3%) with 15 first-rank positions — the strongest buyer-intent visibility we have ever measured. Yet Semrush scores it 27/100 because it tracks work gloves, not fundraisers.
This report was generated using Xtrusio, an AI visibility and demand intelligence platform that analyzes how companies appear across modern AI systems such as ChatGPT, Gemini, Claude, Perplexity, and other generative engines.
The insights in this page are generated using Xtrusio’s proprietary research and content intelligence framework.
Dakota Marketplace achieves 57.3% buyer-intent visibility — the strongest result in any audit we have conducted. When a VP of Investor Relations asks Claude for the best institutional investor databases, Dakota is cited first 10 out of 19 times. Field consultant mapping is a unanimous #1 across all three platforms. Yet Gemini at 40% represents a 36-point gap vs Claude — a significant opportunity being left on the table.
Platform Scorecard
Dakota citation rate across AI platforms
AI Visibility Leaderboard
Who owns the AI conversation — total citations across all platforms
AI Positioning Audit
25 buyer-intent queries — click any row to see the exact question
Each query was written from the perspective of a real decision-maker researching fundraising solutions. These personas represent the buyers whose AI search results determine whether Dakota gets discovered.
| # | Query Topic | Cluster | Claude | ChatGPT | Gemini |
|---|---|---|---|---|---|
| TOTAL | 19/25 (76%) | 14/25 (56%) | 10/25 (40%) |
Semrush AI Visibility
Automated scores vs buyer-intent reality
Semrush AI Visibility gives Dakota a score of 27/100. But the topics it tracks reveal a critical problem: Semrush is tracking “Dakota Gloves & Pro Work Gear,” not Dakota Marketplace the institutional investor database.
| Company | Score | Mentions | Citations | Cited Pages |
|---|---|---|---|---|
| dakota.com | 27/100 | 987 | 2,300 | 895 |
| preqin.com | 25/100 | 2,300 | 16,400 | 11,000 |
| pitchbook.com | 33/100 | 14,500 | 117,700 | 76,800 |
| fintrx.com | 16/100 | 97 | 367 | 198 |
Semrush gives Dakota 27/100 with 987 mentions (+133.9%), but the top tracked topic is “Dakota Gloves & Pro Work Gear” — a completely different company. This is why companies rely on Xtrusio’s buyer-intent methodology instead.
Every competitor also scores “Low” on Semrush. The real differentiator isn’t automated scores — it’s who appears when a VP of IR asks ChatGPT for the best fundraising database.
The Gemini Gap
Where Dakota loses 36 percentage points vs Claude
Dakota achieves 76% on Claude but only 40% on Gemini. On 9 of 25 queries, Dakota was cited by Claude but invisible on Gemini.
“How are the most successful fundraising teams at PE firms organizing their outreach? What tools and processes do they use to track LP interactions?”
“I lead investor relations at a growth equity firm and we’ve been relying on spreadsheets and LinkedIn. What would a professional fundraising tech stack look like?”
“What role does AI play in modern fundraising tools for investment professionals?”
Dakota’s content exists. Claude knows it. ChatGPT mostly knows it. But Gemini — powered by Google, the platform where AI Overviews now appear in search results — doesn’t. That’s not a content problem. That’s a distribution problem.
AI Topic Authority Map
Which competitors own which topics in AI answers
| Topic | AI Leader | Dakota Status |
|---|---|---|
| Field Consultant Mapping | Dakota Marketplace | UNANIMOUS #1 (3/3) |
| Metro/Geographic Allocator Mapping | Dakota Marketplace | Strong — all 3 platforms |
| Salesforce Integration for Fundraisers | Dakota Marketplace | Strong — all 3 platforms |
| Verified LP Contacts | Dakota / Preqin | Strong — all 3 platforms |
| RIA/Intermediary Channel | Dakota / Discovery Data | Strong — all 3 platforms |
| Focused Fundraising Database | Dakota Marketplace | Featured on all 3 |
| PE Fundraising Tech Stack | Dakota / Preqin / Affinity | 2 of 3 platforms |
| Pension Meeting Preparation | Preqin / Dakota | All 3 (supporting role) |
| International LP Coverage (ME/Europe) | Preqin / PitchBook / SWF Institute | INVISIBLE (0/75) |
| Emerging Manager Pipeline | No clear leader | INVISIBLE (0/75) |
| Corp Dev / Acquisition Targets | PitchBook / S&P Capital IQ | INVISIBLE (0/75) |
| LP Database Evaluation Criteria | Generic frameworks | INVISIBLE (0/75) |
Methodology
How we conducted this Xtrusio AEO/GEO Audit
This research is based on Xtrusio’s proprietary AI visibility analysis framework.
Recommendations
Prioritized actions to close the Gemini gap and own new territory
- “Best Institutional Investor Databases 2026” pillar page optimized for Google AI Overviews
- Structured comparison pages: Dakota vs Preqin, Dakota vs PitchBook, Dakota vs FINTRX
- Add schema.org structured data to key pages
- Grow G2 and Capterra review volume
- Dedicated “International Institutional Investors: Middle East & European LP Database” page
- “The Emerging Manager’s Guide to Building an LP Pipeline” content hub
- Pitch articles to Institutional Investor, Pension & Investments, Private Equity International
- Create content specifically optimized for Google ecosystem
- Publish “The Complete Guide to Fundraising Technology for Investment Professionals”
- Create corporate development / M&A use case content
- Amplify Joe AI and Dakota Recommends through third-party PR
- Quarterly Xtrusio re-audits to track Gemini gap closure
57% is Strong. 70%+ is Dominant.
The Gemini gap is fixable. The international niche is open. Let’s discuss how to own them.
This research report was generated using the Xtrusio Company Intelligence Module.
