OpenAI Software / SaaS United States

Waymark

Marketing Personalization · Sales Automation

Waymark needed a better way to help customers write effective video scripts because many users struggled with what to say, existing rules-based templates were too generic, and manual editing created friction that hurt campaign creation.

two out of three people still struggled with what to say in those videos
users now receive original, custom scripts for their business in seconds

Reported impact

Business outcome

Waymark reduced script-editing time, improved the quality and relevance of ad copy, and made it easier for customers and local-advertising teams to launch campaigns at scale.

  • Customer Experience
  • Productivity Improvement
  • Revenue Growth

Solution

Waymark fine-tuned GPT-3 to turn raw business context into custom marketing scripts that fit its video-ad creation platform. Before the change, customers had access to templates and an earlier proprietary script-writing feature, but many still had to spend too much time editing vague copy or abandon the workflow altogether. With the new setup, information about a business and its online footprint flows into fine-tuned GPT-3 models that generate original scripts tailored to that company, which then feed directly into Waymark's existing commercial-production experience. The result is a shift from a do-it-yourself workflow toward a done-for-you model where AI handles the hardest creative drafting step and users move faster into final video assembly. That architecture makes script writing a built-in AI service inside the product instead of a separate copywriting task, so more customers can launch stronger ads with less effort.

Data flow

Business context and online-footprint information are fed into fine-tuned GPT-3 models, which generate a custom script that is returned to Waymark's video platform for editing and final commercial production.

Solution architecture

1 components · 1 layer
  1. Compute
    • GPT-3 Generates tailored commercial scripts from each business's context and online footprint.

Architecture clues

  • The GPT workflow is embedded directly into the existing video creation product
  • The company describes the result as moving from do-it-yourself to done-for-you video creation
  • Waymark uses fine-tuned GPT-3 rather than a pure rules-based script engine

Evidence from the source

After integrating GPT-3, users now receive original, custom scripts for their business in seconds
Customers are spending far less time editing their scripts because Waymark is producing more relevant, accurate, and compelling copy from the beginning
I found nothing that could effectively summarize a business's online footprint, let alone write effective marketing copy, until GPT-3
Waymark uses fine-tuned GPT-3 models to create a qualitatively different script writing experience
Transparency Evidence & methodology 75/100 reference value · 92% confidence · 3 sources

Review how this reference was scored and trace each normalized claim back to its documented source.

01

Scoring methodology

How scores are calculated

Customer Reference Value measures usefulness as a customer reference. Evidence Confidence measures the quality and traceability of available evidence, not independent verification.

Customer reference value75/100
  • Problem clarity20/20
    Measures whether the customer's operational problem is specific enough to compare.
  • Implementation depth25/25
    Rewards named components, data flow, integrations, and architecture detail.
  • Outcome specificity20/20
    Measures whether the reported benefit is concrete rather than a generic claim.
  • Quantified impact0/25
    0 metrics describe measurable impact.
  • Deployment scale10/10
    Rewards evidence of a live or scaled deployment and meaningful integration scope.
Evidence confidence92%
  • Source authority20/25
    The main evidence is an official vendor-published customer story.
  • Claim traceability25/25
    12 of 12 key fields link to a named source.
  • Direct evidence20/20
    4 direct source quotes retained.
  • Date provenance10/10
    The publication date comes from the source page or publisher.
  • Source transparency9/10
    3 source references document publisher, URL, authority, retrieval, and supported fields.
  • Implementation specificity8/10
    Rewards source-backed components, data flow, quantified impact, and a specific outcome.
02

Traceability

Sources & provenance

Field coverage shows which facts each source supports. Dates are shown only when documented by the source.

  1. OpenAI

    Waymark customer story

    First-party
    https://openai.com/index/waymark/
    Source type
    Vendor-published customer story
    Published
    Jan 4, 2024
    Supports
    • Customer
    • Business problem
    • Solution
    • Products
    • Solution components
    • Data flow
    • Integrations
    • technical area
    • use case category
    • Business outcome
    • outcome category
    • Metrics
    • Architecture
    • evidence quotes
    • Publication date
  2. Waymark

    About | Waymark

    First-party
    https://waymark.com/about

    The page lists the address 1555 Broadway St. Detroit, MI 48226.

    Source type
    Official company website
    Supports
    • Region
  3. LinkedIn

    Waymark | LinkedIn

    Third-party structured profile
    https://www.linkedin.com/company/waymarkmarketing/

    The LinkedIn Organization schema lists numberOfEmployees value 54.

    Source type
    Structured company profile
    Supports
    • Company size

Date evidence

  • Published on source page Jan 4, 2024 · OpenAI · First-party
    Open date source
Not separately sourced Industry. Treat these normalized attributes as lower-confidence until a dedicated source is added.