Xtrusio AEO/GEO Audit

Hightouch owns the composable CDP conversation.

Amperity owns identity resolution. But 40% of buyer questions get neither.

25-query audit across ChatGPT, Gemini & Claude. Amperity is cited on 30 of 75 responses (40%) with an average rank of 1.2 — almost always #1 when cited. But 10 of 25 buyer-intent queries return zero citations across all platforms. The identity resolution king has an activation-shaped blind spot.

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.

April 2026
25 Queries • 3 Platforms
Amperity
52%
Claude
13 of 25 queries
9× #1 RANKINGS
36%
ChatGPT
9 of 25 queries
7× #1 RANKINGS
32%
Gemini
8 of 25 queries
6× #1 RANKINGS
The Depth vs. Breadth Problem

AI platforms call Amperity the “gold standard” and “market leader” for identity resolution. All three platforms use this exact language when asked about deduplication (Q10) and hospitality guest matching (Q3). But when buyers ask about paid media attribution, marketer self-service, financial services compliance, or multi-national privacy — 10 of 25 queries — Amperity is completely invisible. Hightouch, ActionIQ, and Treasure Data fill the void.

40%
Overall Citation Rate
1.2
Avg Rank (When Cited)
10
Blind Spot Queries (0/3)
Section 2

Platform Scorecard

Amperity citation rate across AI platforms

Amperity Citation Rate by Platform
Claude
52%
ChatGPT
36%
Gemini
32%
Competitor Comparison — Combined Citation Rates
Amperity
40%
Hightouch
24%
Treasure Data
16%
ActionIQ
13%
Twilio Segment
9%
Claude Dominance
Claude cites Amperity on 52% of buyer-intent queries — 16 percentage points ahead of ChatGPT and 20 points ahead of Gemini. Claude provides the deepest product knowledge: Stitch algorithm, AmpAI, Amperity Bridge, and Forrester TEI ROI data.
Rank Quality Is Exceptional
Average rank of 1.2 across all citations — when AI platforms cite Amperity, it’s almost always #1. ChatGPT achieves a perfect 1.0 average rank. The issue isn’t positioning — it’s breadth of visibility.
Section 3

AI Visibility Leaderboard

Who owns the AI conversation — total citations across all platforms

Platform-by-Platform Breakdown
Claude
13/25
Amperity cited
ChatGPT
9/25
Amperity cited
Gemini
8/25
Amperity cited
Amperity
9
13
8
30
Hightouch
5
5
8
18
Treasure Data
4
3
5
12
ActionIQ
3
1
4
8
Twilio Segment
1
3
3
7
ChatGPT
Claude
Gemini
Citation Leaderboard
Amperity: 30 citations (40% of 75 responses) Hightouch: 18 citations (24% of 75 responses) Treasure Data: 12 citations (16% of 75 responses)
40%
Amperity
Amperity30
Hightouch18
Treasure Data12
Citation Intensity Heatmap
ChatGPT
Claude
Gemini
Total
Amperity
9
13
8
30
Hightouch
5
5
8
18
Treasure Data
4
3
5
12
ActionIQ
3
1
4
8
Twilio Segment
1
3
3
7
Amperity Leads by 67%
Amperity’s 30 total citations outpace the nearest competitor (Hightouch at 18) by 67%. Amperity is the most-cited CDP vendor across all three AI platforms combined.
Hightouch Wins on Gemini
Hightouch matches Amperity on Gemini (8 vs 8 citations) and leads every composable/warehouse-native discussion. Gemini consistently positions Hightouch as the “vastly superior” modern architecture.
Section 4

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 customer data platforms during discovery. These personas represent the buyers whose AI search results determine whether Amperity gets discovered.

JB
VP, Marketing & CRM Analytics
lululemon • Retail • Vancouver, BC
7queries
Pain Points
Fragmented data across 600+ stores and DTC. Declining ROAS as cookies deprecate. Needs unified profiles for paid media suppression and ROI justification.
“best CDP for retail”“CDP ROI justification”
Q1, Q2, Q5, Q7, Q16, Q19, Q20
SM
Director, Audience Engagement
Nordstrom • Retail • Seattle, WA
6queries
Pain Points
Loyalty drives 75% of sales but half of shoppers not enrolled. Needs marketer self-service segmentation and multi-brand personalization without SQL dependency.
“CDP for loyalty”“multi-brand personalization”
Q6, Q13, Q17, Q23, Q24, Q25
DH
VP, Enterprise Business Intelligence
Marriott International • Hospitality • McLean, VA
6queries
Pain Points
Guest data across 8,000+ properties in different systems. Evaluating composable vs traditional CDP for Snowflake stack. Needs identity resolution for hospitality and financial services compliance.
“composable CDP vs traditional”“hospitality identity resolution”
Q3, Q4, Q10, Q11, Q12, Q15
AF
VP, Marketing & eCommerce Americas
Hilton • Hospitality • McLean, VA
6queries
Pain Points
Needs to connect loyalty member profiles across 7,000+ properties and multiple brands. Evaluating CDP for financial services compliance and multi-national GDPR deployment across 120+ countries.
“CDP for financial services compliance”“multi-national CDP GDPR”
Q8, Q9, Q14, Q18, Q21, Q22
#Query TopicClusterClaudeChatGPTGemini
1Unified customer profilesData Unification
Exact question asked across all AI platforms:

“I’m a VP of Marketing at a large retail brand with over 200 stores and a growing e-commerce business. Our customer data is scattered across our POS system, e-commerce platform, loyalty program, and email marketing tool. What are the best approaches to building a unified customer profile across all these touchpoints?”

2Enterprise CDP evaluation criteriaVendor Evaluation
Exact question asked across all AI platforms:

“We’re evaluating customer data platforms for our enterprise retail brand. What are the most important capabilities to look for in a CDP, especially for identity resolution and audience activation?”

3Hospitality identity resolutionIdentity Resolution
Exact question asked across all AI platforms:

“My team runs lifecycle marketing for a national hospitality brand. We have millions of guest records across multiple properties, but we can’t tell how many unique guests we actually have because the same person might be in our system five different ways. What technology solutions handle this kind of identity resolution at scale?”

4CDP for Databricks lakehouseArchitecture
Exact question asked across all AI platforms:

“As a Director of Data Engineering, I’ve invested heavily in Databricks as our lakehouse platform. Now marketing wants unified customer profiles for activation. Should I build identity resolution in-house on Databricks, or buy a CDP that integrates with our existing lakehouse architecture?”

5Enterprise CDP landscape 2025Vendor Evaluation
Exact question asked across all AI platforms:

“What are the leading customer data platforms for enterprise retail brands in 2025? I need something that handles both online and offline data, integrates with our existing Snowflake warehouse, and provides AI-powered audience segmentation.”

6Loyalty enrollment targetingLoyalty & CRM
Exact question asked across all AI platforms:

“Our loyalty program drives 70% of sales, but we know less than half our customers are enrolled. How can we use a CDP to identify high-value non-loyalty customers and target them for enrollment campaigns?”

7Post-cookie audience strategyPaid Media
Exact question asked across all AI platforms:

“I run paid media for a multi-brand retail group. Our ROAS has been declining because third-party cookies are going away and our audience match rates on Meta and Google are dropping. How do enterprise brands solve audience matching in a post-cookie world?”

8Composable vs traditional CDPArchitecture
Exact question asked across all AI platforms:

“What’s the difference between a composable CDP like Hightouch and a traditional CDP like Amperity or Treasure Data? Which approach is better for an enterprise retailer with a Databricks data lakehouse?”

9CDP for financial servicesCompliance
Exact question asked across all AI platforms:

“We’re a financial services company evaluating CDPs. Privacy compliance is our top concern — we need GLBA and CCPA compliance built into the platform. Which customer data platforms are best for regulated industries like banking and insurance?”

10Identity resolution at 25M recordsIdentity Resolution
Exact question asked across all AI platforms:

“My CEO wants to know: how many unique customers do we actually have? Right now our CRM says 8 million, our e-commerce platform says 12 million, and our loyalty database says 5 million. I suspect there’s massive overlap but I can’t prove it. What tools can accurately deduplicate and resolve customer identities at this scale?”

11Post-acquisition database mergeData Unification
Exact question asked across all AI platforms:

“We just acquired another brand and need to merge two completely separate customer databases — one in Snowflake and one in a legacy on-prem system. What’s the fastest way to unify these customer records without losing data quality?”

12AI capabilities in CDPsAI & Analytics
Exact question asked across all AI platforms:

“As a CMO, I keep hearing about AI-powered customer data platforms. Beyond the buzzwords, what does AI actually do in a CDP? Can it really predict customer lifetime value or is that just marketing hype?”

13Marketer self-service + SQLUsability
Exact question asked across all AI platforms:

“Our marketing team wants self-service access to customer segments, but our data team says it takes two weeks to build a new audience because they have to write custom SQL queries. Are there CDPs that give marketers a no-code interface while still giving data engineers full SQL access?”

14CDP for hospitality and travelVendor Evaluation
Exact question asked across all AI platforms:

“What are the best customer data platforms for the hospitality and travel industry? We need something that can handle guest profiles across hotels, restaurants, and loyalty programs, and activate those profiles for personalized pre-arrival communications.”

15Segment vs Amperity comparisonVendor Evaluation
Exact question asked across all AI platforms:

“I’m evaluating Twilio Segment versus enterprise CDPs like Amperity for our mid-market retail brand. Segment seems more developer-friendly but I’m worried it won’t handle the complexity of our offline store data. How do these platforms compare for omnichannel retail?”

16Paid media attribution via CDPPaid Media
Exact question asked across all AI platforms:

“Our brand is spending over $5 million a year on paid media but we have no way to measure customer acquisition cost accurately because we can’t connect ad impressions to actual purchases. How does a CDP solve the paid media attribution problem?”

17Suppression match rate improvementPaid Media
Exact question asked across all AI platforms:

“We need to suppress existing customers from our prospecting campaigns on Facebook and Google. Right now our match rates are terrible — only 30% of our customer list gets matched. What technology can improve audience match rates for paid media suppression?”

18CDP vs MDM for bankingArchitecture
Exact question asked across all AI platforms:

“As a VP of Analytics at a regional bank, I need to understand which of our products each customer uses across checking, savings, mortgage, and credit cards — but these are all in different systems with different identifiers. Is a customer data platform the right solution for financial services, or should we look at MDM or CRM instead?”

19ROI justification for CDPBusiness Case
Exact question asked across all AI platforms:

“How do enterprise brands measure the ROI of a customer data platform investment? What KPIs should I present to my CFO to justify spending $300K or more on a CDP?”

20Multi-national CDP deploymentCompliance
Exact question asked across all AI platforms:

“We’re a consumer brand launching in three new international markets. Our existing CDP only handles US customer data. What should we look for in a CDP that supports multi-country deployments with different privacy regulations like GDPR, CCPA, and Australia’s Privacy Act?”

21Build vs buy identity resolutionIdentity Resolution
Exact question asked across all AI platforms:

“My data team built a custom identity resolution pipeline in Python that runs on our Snowflake warehouse. It works okay for deterministic matching on email, but it can’t handle probabilistic matching — people with different email addresses but the same physical address and similar names. Should we keep building in-house or switch to a CDP with ML-powered identity resolution?”

22Amperity Lakehouse vs HightouchArchitecture
Exact question asked across all AI platforms:

“What is the difference between Amperity’s Lakehouse CDP approach and Hightouch’s warehouse-native approach? Both claim to work with your existing data warehouse, but the architectures seem fundamentally different. Which is better for enterprise data teams?”

23Grocery online-to-offline stitchingIdentity Resolution
Exact question asked across all AI platforms:

“We’re a large grocery chain trying to connect our in-store purchase data with our digital engagement data. Customers use loyalty cards in-store but browse anonymously online. How do modern CDPs handle this online-to-offline identity stitching problem?”

24Avoid failed CDP deploymentVendor Evaluation
Exact question asked across all AI platforms:

“Our marketing team has been burned by CDP implementations that took 18 months and never delivered the promised single customer view. What questions should we ask vendors to avoid another failed CDP deployment?”

25Multi-brand personalizationData Unification
Exact question asked across all AI platforms:

“As a Director of Customer Experience at a multi-brand retailer, I want to personalize the shopping experience across our five brands without customers feeling like we’re sharing their data inappropriately between brands. How do CDPs handle multi-brand personalization while respecting customer privacy?”

TOTAL13/25 (52%)9/25 (36%)8/25 (32%)
Section 5

Semrush AI Visibility

Automated scores vs buyer-intent reality

Semrush AI Visibility scores Amperity at 18/100 — “Low” with “rarely mentioned in LLM outputs compared to competitors.” But our audit found a 40% buyer-intent citation rate with an average rank of 1.2. The disconnect? Semrush tracks generic brand mentions across all topics. Xtrusio tests the exact questions buyers ask during discovery.

CompanyScoreMentionsCitationsBuyer-Intent
amperity.com18/10025220240%
treasuredata.com22/10037737216%
actioniq.com18/100101411%
Amperity AI Visibility Dashboard
Semrush AI VisibilityAmperity AI Visibility Dashboard — Score: 18/100
Amperity Topics
Semrush AI Visibility — TopicsAmperity Topics — “Customer Data Platforms” dominates

Semrush shows 252 mentions for amperity.com, but top tracked topics are branded queries. The LLM distribution is relatively even (ChatGPT 17.9%, AI Overview 27.8%, AI Mode 29.4%, Gemini 25%). Our buyer-intent audit reveals the real story: depth in identity resolution, invisibility in activation.

Treasure Data AI Visibility
Competitor BenchmarkTreasure Data — Score: 22/100 (377 mentions)
ActionIQ AI Visibility
Competitor BenchmarkActionIQ — Score: 18/100 (101 mentions, 4 citations)

Treasure Data scores 22/100 with 377 mentions — higher than Amperity on automated metrics — yet Amperity outperforms 2.5:1 on actual buyer-intent queries. ActionIQ has 101 mentions but only 4 Semrush citations. This is why buyer-intent testing matters more than automated scores.

Section 6

The Activation Gap

Where Amperity vanishes on 10 of 25 buyer-intent queries — across all 3 platforms

Amperity’s AI visibility story isn’t a single-platform problem. It’s a topic problem. When buyers ask about identity resolution, Amperity is unanimously #1. But when the same buyers ask about paid media, activation, compliance, or self-service — Amperity returns zero citations on any platform.

“We need to suppress existing customers from our prospecting campaigns on Facebook and Google. Right now our match rates are terrible — only 30%. What technology can improve audience match rates?”

— All 3 platforms recommend generic identity graph approaches. None mention Amperity. Hightouch and LiveRamp win.

“We’re a financial services company evaluating CDPs. Privacy compliance is our top concern — we need GLBA and CCPA compliance built in. Which CDPs are best for regulated industries?”

— ChatGPT recommends Salesforce Data Cloud, Adobe, Treasure Data. Gemini recommends ActionIQ, Tealium. Claude gives generic guidance. Amperity: invisible.

“Our marketing team wants self-service access to customer segments, but our data team says it takes two weeks to build a new audience. Are there CDPs with no-code marketer interfaces?”

— All platforms recommend Hightouch and ActionIQ. Amperity’s point-and-click segmentation is never mentioned.
10 Queries — Zero Citations Anywhere
Q6 (loyalty targeting), Q7 (post-cookie strategy), Q9 (financial services), Q13 (self-service UI), Q16 (attribution), Q17 (match rates), Q18 (CDP vs MDM), Q20 (multi-national), Q23 (grocery identity), Q24 (failed deployment prevention) — all completely invisible.
Pattern: AI Knows Amperity for Identity, Not Activation
Amperity has 200+ pre-built connectors, direct activation to Meta/Google/TikTok, and AmpIQ for self-service segmentation. But AI platforms position Amperity exclusively as an “identity resolution specialist” — not as an activation platform.
Same Category. Different Questions. Different Winners.

Amperity’s activation capabilities exist. AmpIQ, direct connectors, pCLV audiences — they’re real products shipping to 400+ brands. But AI platforms don’t know they exist. The content that trains AI models positions Amperity as “identity resolution” — and competitors like Hightouch and ActionIQ own every activation and self-service query.

Section 7

AI Topic Authority Map

Which categories Amperity owns in AI answers

TopicAI LeaderAmperity Status
Enterprise Identity ResolutionAmperityUNANIMOUS #1 (3/3)
Hospitality CDPAmperityUNANIMOUS #1 (3/3)
CDP Landscape / Vendor ComparisonAmperity3 of 3 platforms
Traditional vs Composable ArchitectureAmperity / Hightouch3 of 3 platforms
Data Unification & M&A IntegrationAmperityClaude only (1/3)
AI & Predicted CLVAmperityClaude only (1/3)
Paid Media & ROAS OptimizationHightouch / LiveRampINVISIBLE (0/3)
Marketer Self-ServiceHightouch / ActionIQINVISIBLE (0/3)
Financial Services ComplianceSalesforce / ActionIQINVISIBLE (0/3)
Multi-National Privacy (GDPR)Segment / Treasure DataINVISIBLE (0/3)
Topic Cluster
Claude
ChatGPT
Gemini
Identity Resolution
50%
50%
75%
Vendor Comparisons
71%
71%
71%
Data Architecture
80%
40%
0%
AI, ROI & Business Case
100%
0%
0%
Paid Media & Activation
0%
0%
0%
Compliance & Self-Service
0%
0%
0%
Identity Resolution
Claude50%
ChatGPT50%
Gemini75%
Vendor Comparisons
Claude71%
ChatGPT71%
Gemini71%
Data Architecture
Claude80%
ChatGPT40%
Gemini0%
AI, ROI & Business Case
Claude100%
ChatGPT0%
Gemini0%
Paid Media & Activation
Claude0%
ChatGPT0%
Gemini0%
Compliance & Self-Service
Claude0%
ChatGPT0%
Gemini0%
4 Categories Owned
Identity resolution, hospitality CDP, vendor landscape positioning, and architectural comparisons. Amperity achieves unanimous or near-unanimous citations across all 3 platforms in these categories.
4 Categories Completely Invisible
Paid media & activation, marketer self-service, financial services compliance, and multi-national privacy — zero citations on any platform. These represent 10 of 25 queries (40% of buyer-intent surface area).
Section 8

Methodology

How we conducted this Xtrusio AEO/GEO Audit

Semrush AI Visibility Data
Pulled Semrush AI Visibility reports for amperity.com and 2 competitors (treasuredata.com, actioniq.com). Analyzed scores, mentions, cited pages, and LLM distribution.
25-Query Buyer-Intent Testing
Tested 25 decision-maker intent queries across ChatGPT, Gemini, and Claude. Questions mirror real VP/Director-level research during CDP evaluation and discovery.
Competitor Scope
Hightouch (composable CDP leader), Treasure Data (traditional CDP peer), ActionIQ (enterprise CDP, financial services), Twilio Segment (developer-first CDP). All compete for the same enterprise buyer during CDP discovery.
Section 9

Recommendations

Prioritized actions to close the activation gap

Phase 1 — 0–30 Days
Claim the Activation Narrative
  • Publish dedicated content on paid media activation, ROAS improvement, and audience match rates — directly addressing Q7, Q16, Q17 blind spots
  • Create AmpIQ-focused content showing self-service segmentation capabilities — counter the “requires SQL” narrative Hightouch owns
  • Develop financial services case studies with GLBA/CCPA compliance proof points (BECU, First Hawaiian Bank are existing customers)
Phase 2 — 30–90 Days
Expand Beyond “Identity Resolution Specialist”
  • Reposition Amperity Bridge content to compete directly with Hightouch on composable/warehouse-native queries — specifically address Databricks and Snowflake use cases
  • Publish “Amperity for [vertical]” pages targeting grocery (Q23), multi-brand retail (Q25), and loyalty program (Q6) use cases
Phase 3 — 90+ Days
Own the Full CDP Conversation
  • Target 60%+ citation rate across all platforms by expanding from 15 cited queries to 20+
  • Quarterly Xtrusio re‑audits to track gap closure across identity, activation, and compliance categories
Continuous AI Visibility Tracking
Brands can improve their AI discovery using generative engine optimization tools like Xtrusio.

Amperity owns identity resolution. Now own the rest.

Let’s close the activation gap before Hightouch does.

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