Pull proof points on us versus Innovaccer.
Customer Proof Points Agent
I'll have you pick Innovaccer from the competitor list, then search the review sources tier by tier and keep only exact quote text.
Example complete
One request, end to end
Subject is set. Proof set ready.
See the proof points agent take a request on Innovaccer from subject pick to five tagged quotes.
Case PP-0417
Us versus Innovaccer · Proof-point research
- AI
- 20 min to proof set
- Intake
- Search
- Evaluate
- Deliver
01 · Intake
Subject selected
Seller picked Innovaccer from the curated list
New case
Packet open- Requester
- Account executive
- Subject
- Innovaccer · From the curated competitor list
- Request
- Proof points, us versus Innovaccer
- Why
- Social proof for enablement material
Case packet · 3 sourcesComplete
Incoming
- Seller promptPull proof points on us versus InnovaccerReceived
- Competitor listCurated subjects, Innovaccer selectedReceived
- Knowledge BaseSource tiers and scoring rubricReceived
02 · Search
Tiers searched
Review sites first, then LinkedIn and case studies
Pulled together
Candidates gathered- Tier-1 reviews pulledG2, Capterra, Gartner Peer Insights, TrustRadius
- Next tier addedLinkedIn posts and vendor case studies
- Forums held backSearched only if stronger tiers run thin
Matched record
- Subject
- Innovaccer
- Comparison
- Us versus Innovaccer
- First tier
- G2 · Capterra · TrustRadius
- Recency
- Within 24 months
03 · Evaluate
Quotes scored
Named outcomes, speaker seniority, source quality
Checks applied
Rubric applied- Named outcomesQuotes citing a specific result score higherScoring rubric
- Speaker seniorityNamed speakers at named organizationsLinkedIn
- Verbatim checkAI-aggregated or paraphrased sources excludedReview platforms
Deciding finding
Exact text only
Each quote keeps its source wording. None is a paraphrase strengthened into a bigger claim.
Selection
- Kept
- Top 5 by score
- AI-aggregated
- Excluded
- Paraphrases
- Excluded
04 · Deliver
Proof set delivered
Five verbatim quotes, each tagged and linked
Ready for enablement
Top 5 quotes, tagged and linked
Each quote is exact text from a ranked source, so it can go into enablement material without rewording.
- Tags
- Persona, tier, source, date, link
- Quotes
- Verbatim
- Thin evidence
- Flagged in gap report
Searched first
G2 · Capterra
Tier-1 sources
Gap report
Included
Where evidence is thin
Audit trail
- Subject selectedInnovaccer09:41
- Tier-1 review sites searched09:47
- Quotes scored on rubric09:55
- Top 5 tagged and delivered10:01
20 min to a tagged proof set
Illustrative case · sample data
Use Case 1
Proof-Point Research
Trigger: Seller or marketer needs social proof for a subject or competitor
1.Prompt for the subject from the curated list
2.Search source tiers in priority order
3.Score each candidate quote against the rubric
4.Select the top five by score
5.Tag each with persona, tier, source, date, and link
6.Exclude AI-aggregated or paraphrased sources
7.Report gaps where evidence is thin
✓
A ranked, tagged set of verbatim proof points with honest sourcing, ready to drop into enablement material.
Use Case 2
Persona-Matched Selection
Trigger: A specific buyer persona needs supporting evidence
1.Map each quote's speaker role to the closest persona
2.Prioritize named quantitative outcomes
3.Match outcome type to the target persona
4.Surface the quotes that fit that buyer
5.Flag when no strong persona-matched quote exists
✓
Sellers arm each buyer conversation with evidence that speaks to that persona's priorities.
Integrations
Web Research & News
LinkedIn
Review Platforms (G2, Capterra, TrustRadius)
CRM (Salesforce, HubSpot)
Knowledge Base
Industries
all
An agent at work
1 / 3
Sample scenarios. Actions and outputs are illustrative.