Xtrusio AEO/GEO Audit

ChatGPT ranks Dreamdata #1 — eleven times.

Gemini forgets it exists on 40% of buyer queries.

20-query audit across ChatGPT, Gemini & Claude. Dreamdata is cited on 45 of 60 responses (75%) — but with a 25-point gap between its best platform (Claude, 85%) and worst (Gemini, 60%). HockeyStack leads overall with 51 citations. Gemini misses Dreamdata on 8 core buyer queries — including LinkedIn attribution, audience activation, and AI intent signals — and sends every one of those buyers to HockeyStack instead.

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.

June 2026
20 Queries • 3 Platforms
Dreamdata
85%
Claude
17 of 20 queries
12× #1 RANKINGS
80%
ChatGPT
16 of 20 queries
11× #1 RANKINGS
60%
Gemini
12 of 20 queries
⚠ CRITICAL GAP
The Core Problem

Gemini doesn’t know Dreamdata exists for 40% of the questions buyers actually ask.

LinkedIn attribution, conversion syncs, audience activation, company identification, AI intent signals — these are Dreamdata’s flagship features. ChatGPT and Claude cite Dreamdata as #1 for all of them. Gemini recommends HockeyStack instead. When a VP of Marketing asks Gemini “which tools sync audiences to LinkedIn Ads?” — Dreamdata is invisible. HockeyStack owns that answer.

8
Queries Gemini Misses
6
Flagship Features Invisible
51
HockeyStack Total Citations
Section 2

Platform Scorecard

Dreamdata citation rate across AI platforms

Dreamdata Citation Rate by Platform
Claude
85%
ChatGPT
80%
Gemini
60%
Competitor Comparison — Combined Citation Rates
HockeyStack
85%
Dreamdata
75%
Factors.ai
58%
Marketo Measure
40%
CaliberMind
33%
Claude Dominance
Dreamdata is the default B2B attribution recommendation on Claude, cited on 85% of buyer queries with 12 first-place rankings. Claude’s training data captures Dreamdata’s G2 leadership, customer stories, and technical documentation deeply.
Gemini Gap
Gemini misses Dreamdata on 8 of 20 queries (40%). The missed queries aren’t category edges — they include LinkedIn attribution, audience activation, and conversion syncs. HockeyStack dominates Gemini with 16/20 mentions.
Section 3

AI Visibility Leaderboard

Who owns the AI conversation — total citations across all platforms

Platform-by-Platform Breakdown
ChatGPT
16/20
Dreamdata cited
Claude
17/20
Dreamdata cited
Gemini
12/20
Dreamdata cited
HockeyStack
18
17
16
51
Dreamdata
16
17
12
45
Factors.ai
13
12
10
35
Marketo Measure
9
8
7
24
CaliberMind
7
8
5
20
ChatGPT
Claude
Gemini
Citation Leaderboard
HockeyStack: 51 citations (85% of 60 responses) Dreamdata: 45 citations (75% of 60 responses) Factors.ai: 35 citations (58% of 60 responses)
75%
Dreamdata
HockeyStack51
Dreamdata45
Factors.ai35
Citation Intensity Heatmap
ChatGPT
Claude
Gemini
Total
HockeyStack
18
17
16
51
Dreamdata
16
17
12
45
Factors.ai
13
12
10
35
Marketo Measure
9
8
7
24
CaliberMind
7
8
5
20
Dreamdata: #2 Overall
Dreamdata is the second most-cited B2B attribution platform across all AI platforms, trailing only HockeyStack. On Claude specifically, Dreamdata leads with 17 citations vs HockeyStack’s 17 — a dead heat.
Gemini: HockeyStack Territory
On Gemini, HockeyStack leads Dreamdata 16 to 12. The 4-citation gap means HockeyStack captures the discovery moment for 33% more buyer queries on Google’s AI platform.
Section 4

AI Positioning Audit

20 buyer-intent queries — click any row to see the exact question

Each query was written from the perspective of a real decision-maker researching B2B attribution and activation solutions. These personas represent the marketing leaders whose AI search results determine whether Dreamdata gets discovered or HockeyStack wins the conversation.

Target Buyer Sector VP/Director-level Marketing, Demand Generation & Marketing Operations leaders at mid-market B2B SaaS companies evaluating how to connect marketing spend to pipeline and closed revenue
HM
CMO
ChurnZero • B2B SaaS • Maryland, USA
7queries
Pain Points
Running demand gen at a 300-person customer success platform where the sales cycle runs 6–9 months. Needs to prove to the CFO exactly which campaigns drove closed revenue — not just MQLs. Currently using HubSpot but can’t tie LinkedIn spend to actual pipeline.
“B2B attribution platform full journey”“LinkedIn ads pipeline ROI”
Q1 • Q2 • Q6 • Q10 • Q14 • Q16 • Q19
RC
VP Marketing
Leapsome • B2B SaaS • Boston, USA
7queries
Pain Points
Joined Leapsome in March 2026 to build the marketing function from scratch. HubSpot’s 50th employee — spent a decade building inbound marketing there. Knows measurement intimately but needs a platform that doesn’t just track what happened, it activates audiences in real time.
“attribution and activation single platform”“HubSpot attribution integration”
Q3 • Q5 • Q8 • Q11 • Q13 • Q17 • Q20
TC
CMO
PartnerStack • B2B SaaS • Ontario, Canada
6queries
Pain Points
Cut cost per dollar of pipeline by 34% at PartnerStack through better ICP targeting. Posts publicly about campaign naming conventions for attribution. Needs data clean enough to defend in a board review — “if you want attribution you can defend, stop debating models and start fixing taxonomy.”
“free B2B attribution trial”“BigQuery attribution data access”
Q4 • Q7 • Q9 • Q12 • Q15 • Q18
#Query TopicClusterClaudeChatGPTGemini
1Full Account JourneyJourney
Exact question asked across all AI platforms:

“I need a B2B attribution platform that maps the complete account journey from first anonymous visit through to closed revenue across all marketing and sales touchpoints. Which tools give the most complete journey view?”

2LinkedIn Ads AttributionAttribution
Exact question asked across all AI platforms:

“We invest heavily in LinkedIn Ads and need accurate attribution beyond just click-through metrics. Which B2B attribution platforms have the best LinkedIn integration for measuring real pipeline impact?”

3Attribution + Activation CombinedActivation
Exact question asked across all AI platforms:

“Instead of using one tool for attribution and another for audience targeting, we want a single platform that does both — measures what works and lets us activate audiences based on those insights. What options exist for combining attribution and activation?”

4Free Tier / Try Before BuyPlatform
Exact question asked across all AI platforms:

“Which B2B marketing attribution platforms offer a free tier or genuine free trial where our team can connect real data and validate the tool before committing to a paid contract?”

5Conversion Syncs to Ad PlatformsActivation
Exact question asked across all AI platforms:

“We need to feed our CRM pipeline data and offline conversions back to ad platforms like LinkedIn, Google Ads, and Meta automatically so our campaigns optimize for revenue, not just clicks. Which attribution tools support one-click conversion syncs?”

6Company Identification AccuracyIntent
Exact question asked across all AI platforms:

“We want to de-anonymize our website visitors at the account level so our sales team knows which companies are researching us. Which B2B attribution platforms have the highest accuracy for company identification?”

7BigQuery Warehouse AccessPlatform
Exact question asked across all AI platforms:

“Our data team prefers to analyze attribution data directly in BigQuery rather than relying solely on a vendor dashboard. Which B2B attribution tools support warehouse-native access to raw attribution data?”

8B2B Journey BenchmarksJourney
Exact question asked across all AI platforms:

“What is the typical length and number of touchpoints in a B2B customer journey? Are there any attribution platforms that publish industry benchmarks for B2B buying cycles?”

9Multi-Touch for Complex B2BAttribution
Exact question asked across all AI platforms:

“We have a 6-month B2B sales cycle with multiple stakeholders involved in each deal. What are the best multi-touch attribution tools designed specifically for complex B2B buying journeys?”

10Pipeline / Revenue DashboardPlatform
Exact question asked across all AI platforms:

“Our CMO needs a single dashboard showing marketing’s direct contribution to pipeline and revenue, not vanity metrics like MQLs or impressions. Which B2B platforms do this best?”

11Demand Gen Campaign ROIAttribution
Exact question asked across all AI platforms:

“How do I accurately measure the ROI of our demand generation campaigns across paid search, LinkedIn, events, and content when the average deal takes 9 months to close?”

12Dynamic Audience SyncActivation
Exact question asked across all AI platforms:

“We want to build dynamic B2B audiences based on buying signals from our CRM and website activity, then sync those audiences daily to LinkedIn and Google Ads for better targeting. Which tools enable this?”

13HubSpot CRM IntegrationPlatform
Exact question asked across all AI platforms:

“We use HubSpot as our CRM and need a marketing attribution tool that integrates deeply with it — beyond just basic lead source tracking. What are the best HubSpot-compatible attribution platforms?”

14Content-to-Revenue AttributionAttribution
Exact question asked across all AI platforms:

“We produce a lot of blog content and webinars but have no idea which pieces actually influence pipeline and revenue. Which B2B tools can attribute closed revenue back to specific content assets?”

15Sales-Marketing Source of TruthJourney
Exact question asked across all AI platforms:

“Marketing and sales constantly argue about which team deserves credit for deals. We need a shared view of the full customer journey that both teams trust as the single source of truth. What platforms solve this?”

16AI Intent + Slack AlertsIntent
Exact question asked across all AI platforms:

“We want to use AI to identify which accounts are showing buying intent based on their behavior across our website, emails, and ads, and then automatically notify our sales team in Slack when intent spikes. Which platforms offer this?”

17PLG + Marketing AttributionCompetitor
Exact question asked across all AI platforms:

“We run a product-led growth motion alongside outbound sales and need an attribution platform that tracks both marketing touchpoints and in-product user behavior in the same model. What are the best options for PLG companies?”

18Enterprise Salesforce-NativeCompetitor
Exact question asked across all AI platforms:

“We are a large enterprise running Salesforce and need a marketing attribution solution that integrates natively at the CRM object level with full field-level mapping. What enterprise-grade platforms are best for this?”

19Predictive / Forward-LookingCompetitor
Exact question asked across all AI platforms:

“Most attribution tools only tell us what happened in the past. We want forward-looking predictive analytics that tell us where to invest our marketing budget next. Which B2B platforms offer predictive attribution or incrementality measurement?”

20Budget-Friendly Under $500/moCompetitor
Exact question asked across all AI platforms:

“Our marketing team is growing but budget is limited. We need a solid B2B multi-touch attribution solution that works well for under $500 per month. What are the most affordable options?”

TOTAL17/20 (85%)16/20 (80%)12/20 (60%)
Section 5

The Gemini Gap

Where Dreamdata loses 25 percentage points vs Claude

Dreamdata scores 85% on Claude and 80% on ChatGPT. On Gemini, it drops to 60%. The gap isn’t random — Gemini systematically misses Dreamdata on its most differentiated features: LinkedIn attribution, audience activation, conversion syncs, and AI intent signals. On every one of those queries, HockeyStack takes the answer instead.

“We invest heavily in LinkedIn Ads and need accurate attribution beyond just click-through metrics. Which B2B attribution platforms have the best LinkedIn integration?”

— Claude & ChatGPT cite Dreamdata (#1). Gemini lists HockeyStack, Factors.ai, and CaliberMind instead. Dreamdata — an official LinkedIn partner — is invisible.

“We want to build dynamic B2B audiences based on buying signals, then sync them daily to LinkedIn and Google Ads. Which tools enable this?”

— Claude & ChatGPT cite Dreamdata’s Audience Hub. Gemini recommends 6sense, Demandbase, and HockeyStack. Dreamdata’s core activation feature is unknown.

“We want to use AI to identify which accounts are showing buying intent and automatically notify our sales team in Slack. Which platforms offer this?”

— Claude & ChatGPT cite Dreamdata Signals. Gemini defaults to 6sense, Demandbase, and Bombora — enterprise ABM platforms, not attribution tools.
8 Queries Missed on Gemini
Q2 (LinkedIn attribution), Q5 (conversion syncs), Q6 (company ID), Q12 (audience sync), Q16 (AI intent), Q17 (PLG attribution), Q18 (enterprise SF), Q19 (predictive analytics). Six of these are Dreamdata’s flagship features.
Pattern: Gemini Defaults to HockeyStack
On queries where Dreamdata is invisible, HockeyStack captures the answer 6 out of 8 times. HockeyStack’s content marketing and brand presence has trained Gemini to treat it as the default B2B attribution platform. Dreamdata’s technical documentation and G2 dominance haven’t reached Gemini’s training data.
Same Question. Different Platforms. Different Winners.

Dreamdata’s content exists. Claude and ChatGPT know it. But Gemini doesn’t. For a VP of Marketing asking Gemini about LinkedIn attribution or audience activation, Dreamdata simply doesn’t exist. HockeyStack owns the answer. Every buyer who uses Google’s AI assistant for discovery is being sent to a competitor.

85%
Claude Citation Rate
60%
Gemini Citation Rate
25pts
The Gap
Section 6

AI Topic Authority Map

Query heatmap — product line × platform

TopicAI LeaderDreamdata Status
Full Account Journey VisualizationDreamdataUNANIMOUS #1 (3/3)
LinkedIn Ads AttributionDreamdata2 of 3 platforms
Attribution + Activation CombinedDreamdataUNANIMOUS #1 (3/3)
Free Tier / Try Before BuyDreamdataUNANIMOUS #1 (3/3)
Conversion Syncs to Ad PlatformsDreamdata2 of 3 platforms
Company Identification6sense / DemandbaseClaude only (1/3)
BigQuery Warehouse AccessDreamdataUNANIMOUS #1 (3/3)
B2B Journey BenchmarksDreamdataUNANIMOUS #1 (3/3)
Multi-Touch B2B AttributionHockeyStackUNANIMOUS #1 (3/3)
Pipeline / Revenue DashboardDreamdataUNANIMOUS #1 (3/3)
Demand Gen ROI MeasurementDreamdataUNANIMOUS #1 (3/3)
Dynamic Audience SyncDreamdata2 of 3 platforms
HubSpot IntegrationDreamdataUNANIMOUS #1 (3/3)
Content-to-Revenue AttributionDreamdataUNANIMOUS #1 (3/3)
Sales-Marketing AlignmentDreamdataUNANIMOUS #1 (3/3)
AI Intent + Slack Notifications6sense / Demandbase2 of 3 platforms
Budget Attribution Under $500/moFactors.aiUNANIMOUS #1 (3/3)
PLG + Marketing AttributionHockeyStackINVISIBLE (0/3)
Enterprise Salesforce-NativeMarketo MeasureINVISIBLE (0/3)
Predictive Analytics6senseINVISIBLE (0/3)
Product Line
ChatGPT
Claude
Gemini
Performance Attribution
5 queries
80%
80%
60%
Customer Journey Mapping
3 queries
100%
100%
100%
Audience Hub & Activation
4 queries
100%
100%
50%
AI Signals & Intent
4 queries
25%
50%
0%
Data Platform & Analytics
4 queries
100%
100%
100%

▹ AI Signals & Intent is the only product line with zero Gemini visibility. This is Dreamdata’s most AI-dependent feature — and the one AI platforms know the least about.

Performance Attribution • 5 queries
ChatGPT80%
Claude80%
Gemini60%
Customer Journey Mapping • 3 queries
ChatGPT100%
Claude100%
Gemini100%
Audience Hub & Activation • 4 queries
ChatGPT100%
Claude100%
Gemini50%
AI Signals & Intent • 4 queries
ChatGPT25%
Claude50%
Gemini0%
Data Platform & Analytics • 4 queries
ChatGPT100%
Claude100%
Gemini100%
2 Product Lines at 100%
Customer Journey Mapping and Data Platform & Analytics have perfect visibility across all 3 AI platforms. Dreamdata’s G2 #1 ranking in “Customer Journey Analytics” and deep HubSpot/Salesforce integration docs are being read by every AI engine.
AI Signals: 0% on Gemini
Dreamdata’s AI Signals & Intent product line is completely invisible on Gemini and only 25% on ChatGPT. HockeyStack’s Odin and Nova AI agents dominate intent queries because HockeyStack publishes more content about AI-powered features than Dreamdata does.
Audience Hub: Gemini Blind Spot
Audience Hub & Activation scores 100% on ChatGPT and Claude but drops to 50% on Gemini. Conversion syncs (Q5) and dynamic audience building (Q12) — two of Dreamdata’s most differentiated features — are invisible on Google’s AI platform.
Section 7

Methodology

How we conducted this Xtrusio AEO/GEO Audit

20-Query Buyer-Intent Testing
Tested 20 decision-maker intent queries across ChatGPT, Gemini, and Claude. Questions mirror real VP Marketing and demand gen leader research during B2B attribution platform discovery.
Competitor Scope
HockeyStack (GTM AI platform), Adobe Marketo Measure (enterprise Salesforce-native), Factors.ai (budget-friendly attribution), CaliberMind (enterprise data governance), Channel99 (predictive attribution). All compete for the same B2B marketing leader during discovery.
Client Research
Deep-dive analysis of dreamdata.io including product documentation, G2/Capterra reviews (4.7/5 rating, 245+ reviews), customer case studies (Cognism, Oyster, Sendcloud), and competitive positioning vs HockeyStack, Bizible, and Factors.ai.
Section 8

Recommendations

Prioritized actions to close the Gemini gap

Phase 1 — 0–30 Days
Close the Gemini Content Gap
  • Publish 3 dedicated SEO-optimized landing pages: “LinkedIn Attribution for B2B,” “B2B Audience Activation Platform,” and “One-Click Conversion Syncs” — the exact features Gemini misses (Q2, Q5, Q12)
  • Create structured FAQ/comparison content answering: “Which tools sync B2B audiences to LinkedIn Ads?” and “How do I feed offline conversions back to ad platforms?” — the exact phrasing buyers use on Gemini (Q5, Q12, Q16)
  • Publish comparison content: “Dreamdata vs HockeyStack for LinkedIn Attribution” to claim territory HockeyStack currently owns on Gemini
Phase 2 — 30–90 Days
Strengthen AI Signals & Intent Visibility
  • Build dedicated content hub for AI Signals & Intent (0% Gemini visibility) — customer stories, use case guides, integration documentation
  • Pursue third-party citations on industry publications for company identification and AI intent features to build citation authority beyond G2
Phase 3 — 90+ Days
Defend ChatGPT & Claude Dominance
  • Monitor HockeyStack’s content strategy — they’re pivoting toward AI sales agents, which may create an opening in the attribution space
  • Quarterly Xtrusio re‑audits to track gap closure and defend #1 rankings on Claude and ChatGPT
Continuous AI Visibility Tracking
Brands can improve their AI discovery using generative engine optimization tools like Xtrusio.

8 buyer queries. Zero Gemini visibility.

HockeyStack is answering the questions Dreamdata should own. Let’s fix that.

This research report was generated using the Xtrusio Company Intelligence Module.