Backstory (formerly People.ai) vs Attention

Comprehensive side-by-side comparison — features, pricing, performance, and more.

Data last refreshed October 2026

Backstory (formerly People.ai)

People.ai, Inc. d/b/a Backstory

AI Revenue Platform for Sales Teams

Enterprise

75% verification coverage

Attention

BenWick, Inc.

AI agents that learn from your best sales conversations

Enterprise

73% verification coverage

Trust & Reliability

Backstory (formerly People.ai)

Uptime:100%Status page

Users:100K-1M

Customers (per vendor):Red Hat, AMD, OpenAI +7

GDPR

SOC 2

Attention

Uptime:99.99% (30-day)Status page

Customers (per vendor):Lovable, Elite Insurance Partners, Avoca +7

GDPR

SOC 2

HIPAA

Overall Winner: Attention

5.9/10 vs Backstory (formerly People.ai) at 5.1/10

Leads in:

Support

Integration

Customization

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

AI Comparison Summary

Backstory (formerly People.ai)

5.1

avg score

Attention

5.9

avg score

Attention leads overall — particularly in Support and Integration.

Based on 7 dimensions

Scores are AI-estimated from publicly available data — not an independent test or a verified user rating. How we rank →

Overall Winner

Attention

5.9 / 10

Backstory (formerly People.ai)

Best For

CROs and VPs of Sales who own the revenue number and drive strategy

Revenue Operations teams needing accurate, traceable engagement data

Sales Leaders focused on coaching and predictable revenue outcomes

Enterprise sales teams managing complex selling motions

Attention

Best For

Revenue Teams

Sales Leaders

Sales Reps

Customer Success teams

* Verdict is based on our algorithmic scoring of publicly available data. Learn about our methodology

Backstory (formerly People.ai) is best for

📊Data & Analytics7.4💻Coding & Dev7.0💬Chat & Conversation7.0

Attention is best for

💬Chat & Conversation9.0💻Coding & Dev7.0🤖Automation & Agents5.8

Filter by your use case:

Limitations

Backstory (formerly People.ai)

Cons

Pricing is not publicly available and requires a custom quote
Requires integration with existing sales tools and LLMs for full functionality
Focuses on B2B enterprise sales, not individual reps or small businesses

Attention

Cons

No cons listed yet.

Weighted Score — Adjust What Matters to You

Pick a profile or drag sliders — scores and radar update instantly on the right.

Quick profiles:

Ease of Use5

Customization5

Support5

Integration5

Compliance & Data Protection5

Performance5

Planning Quality5

Dimension Comparison

Backstory (formerly People.ai)

5.1

/ 10

Attention

5.9

/ 10

Your pick

Dimension Breakdown

Ease of Use

How intuitive is onboarding, UI navigation, and day-to-day usage for the target audience?

Backstory (formerly People.ai)

2.0▲ +1.0

Attention

1.0

Customization

Calculated

How much can users tailor workflows, settings, prompts, or outputs to their needs?

Backstory (formerly People.ai)

6.0

Attention

7.0▲ +1.0

Support

How strong is the documentation, customer support, community, and learning resources?

Backstory (formerly People.ai)

6.0

Attention

8.0▲ +2.0

Integration

Calculated

How well does it connect with other tools, APIs, and workflows?

Backstory (formerly People.ai)

6.0

Attention

8.0▲ +2.0

Compliance & Data Protection

Calculated

Compliance certifications and data-protection posture, counted from ten verified signals: SOC 2 Type II, GDPR compliance, HIPAA, WCAG AA/AAA, PII redaction, licensed-only training, a published sub-processor list, a downloadable DPA, not training on user data, and a documented deletion path

Backstory (formerly People.ai)

6.0

Attention

6.0

Performance

Calculated

Latency + throughput speed

Backstory (formerly People.ai)

5.0

Attention

5.0

Planning Quality

Calculated

Multi-step planning depth + replanning capability

Backstory (formerly People.ai)

5.0

Attention

6.0▲ +1.0

Calculated = derived from structured signals (integration count, API/open-source config, compliance certs, response-time). AI = LLM-assessed from public website content. Methodology

Task Performance

Backstory (formerly People.ai)

Task

Attention

7.0

Lead Scoring

4.0

7.0

Pipeline Management

7.0

2.0

Outreach Automation

8.0

5.0

Email Tracking

3.0

1.0

Meeting Scheduling

3.0

9.0

Deal Forecasting

8.0

7.0

Contact Enrichment

4.0

7.0

Conversation Intelligence

9.0

5.0

Territory Management

2.0

8.0

Reporting Analytics

8.0

6.0

Data Visualization

5.0

8.0

Natural Language Queries

8.0

* Task scores (1–10) are algorithmically generated from publicly available data.

Data is sourced from public information and vendor websites. It may not always be up-to-date — verify pricing and features directly with the vendor before purchasing.Report inaccuracy

Frequently Asked Questions

What are the main differences between Backstory (formerly People.ai) and Attention?

Backstory (formerly People.ai) — "AI Revenue Platform for Sales Teams". Attention — "AI agents that learn from your best sales conversations". The Features section on this page compares them side by side.

Who is Backstory (formerly People.ai) best for compared with Attention?

Backstory (formerly People.ai) is best for CROs and VPs of Sales who own the revenue number and drive strategy; and for Revenue Operations teams needing accurate, traceable engagement data. Attention is best for Revenue Teams; and for Sales Leaders.

How does the pricing of Backstory (formerly People.ai) compare with Attention?

Backstory (formerly People.ai) is enterprise-priced (custom quote). Attention is enterprise-priced (custom quote). Always verify current pricing with the vendor.

Does Backstory (formerly People.ai) or Attention have a free plan?

Backstory (formerly People.ai) does not list a free plan in our data. Attention does not list a free plan in our data. Always verify current pricing with the vendor.

Do Backstory (formerly People.ai) and Attention offer an API?

Backstory (formerly People.ai) offers API access on its enterprise plans. Attention offers a public API.

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