Make your customers your most persuasive channel

In short

A customer proof and advocacy program turns satisfied clients into case studies, short customer videos, reviews and references that buying committees trust. LinkedIn research published in June 2026 found that recommendations from customers and peers are more than three times as influential as better features or price. PlanConversion runs the program end to end: client selection, approvals, interviews, production, review platforms and reference programs, then puts the proof into ABM plays, sales follow-up and the sources AI assistants cite.

Built for: Enterprise B2B teams with happy customers but few approved stories, and sales teams that keep asking for proof from a similar company.

Last updated

Signs you need this

What usually goes wrong

Great clients, no approved stories

Legal and procurement approvals stall every case study, so sales keeps reusing the same two logos.

Proof that does not match the buyer

A prospect in manufacturing gets a SaaS case study. Buyers trust proof from companies like theirs.

Proof stays in a PDF

Stories live on one page instead of in ads, rep emails, review sites and the sources AI engines read.

Process

How it works

  1. Proof inventory

    Map clients, results, approvals and gaps by industry, size and use case against the deals you want to win.

  2. Approvals and interviews

    Approval paths that legal accepts, including anonymized formats, and interviews that capture numbers and quotes.

  3. Production

    Case studies, short customer videos, quote cards, review platform profiles and reference programs.

  4. Distribution

    Proof placed in ABM campaigns, deal-stage emails, sales decks, review sites and pages AI assistants cite.

Deliverables

What you get

  • Proof inventory by industry and use case
  • Approval workflow, including anonymized formats
  • Case studies and short customer videos
  • Review and reference program
  • Proof plays for ABM and sales follow-up
Measurement

How success is measured

Approved stories per priority segmentOpportunities where proof was usedWin rate on deals with matching proof
Our clients will not let us name them. What then?

Use anonymized formats: industry, size and result with the name withheld, approved by the client. A verified anonymized story still beats a generic claim, and it can be upgraded to a named one later.

Why does customer proof matter for AI search?

AI assistants pull from content that already exists, including case studies, reviews and third-party mentions. Approved proof published in the right places gives them something accurate to repeat.

Do you write fake reviews or testimonials?

Never. Every story, quote and review comes from a real client and is approved by them before it is published.

How does this connect to ABM?

Each target segment gets proof from a similar company, used in ads, landing pages and rep follow-up for that segment.

Enterprise needs

Often solved together

AI shortlist and off-site authority

Enterprise B2B teams that rank in Google but are missing or outranked in AI vendor recommendations for their category.

Generative engine optimization
Insights

Read more on this topic

Proposal request

Tell us what needs to change.

Three short steps. A senior strategist reads every request and replies within one business day with a practical scope, priorities and next step.

  • Founder-led first call, no junior handoff
  • Your top three fixes, whether or not we work together
  • NDA on request, transparent paid media fees
$120M+pipeline influenced
18,000+qualified leads
92%clients expand scope
Hojabr Sattari
Hojabr SattariFounder and Director, reads every request

Trusted by enterprise and growth teams

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ABB logoKNIME logoNakisa logoYULiv logoLOCUS-AD logoAcadémie Marie-Claire logoFounder’s in-house leadership as Director of Revenue GrowthCoveo logoAssent logoNakisa logoAlso from our teamBigphone.aiWebetti
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