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The Vectors

Case study · SaaS

Getting a B2B SaaS brand cited by ChatGPT, Gemini and Perplexity

Turned product documentation and proprietary benchmarks into citable assets, lifting the brand's share of AI answers in its category from near zero.

Client
Mid-market B2B workflow software company
Duration
10 months
Updated

Sample data — replace before launch

Results at a glance

  • Share of AI answers (120 tracked prompts)

    6%28%

    Before: 6%. After: 28%.

  • Referral sessions from AI assistants

    190 / mo2,350 / mo

    Before: 190 / mo. After: 2,350 / mo.

  • Demo requests influenced by AI search

    4 / mo37 / mo

    Before: 4 / mo. After: 37 / mo.

The challenge

Where they started

When prospects asked AI assistants for the best tools in the category, the brand was rarely mentioned — and when it was, the description was two product versions out of date.

The company had strong organic traffic for long-tail keywords but no clear entity footprint: inconsistent descriptions across review sites, a thin About page and no structured data.

The strategy

What we did

  1. Step 1

    Entity clean-up

    We aligned the brand description across 40+ profiles, review platforms and partner listings, and added Organization, SoftwareApplication and FAQ schema.

  2. Step 2

    Citable original data

    An annual benchmark built from anonymized product usage gave journalists and AI systems a unique statistic to quote — and a reason to link.

  3. Step 3

    Answer-first documentation

    Comparison and how-to pages were restructured so the direct answer appears in the first 50 words, followed by evidence.

The results

Share of AI answers mentioning the brand

With The Vectors Projected without changesShare of AI answers mentioning the brand: M1 With The Vectors 6%, Projected without changes 6%; M2 With The Vectors 7%, Projected without changes 6%; M3 With The Vectors 9%, Projected without changes 7%; M4 With The Vectors 11%, Projected without changes 6%; M5 With The Vectors 13%, Projected without changes 6%; M6 With The Vectors 15%, Projected without changes 7%; M7 With The Vectors 17%, Projected without changes 6%; M8 With The Vectors 19%, Projected without changes 6%; M9 With The Vectors 22%, Projected without changes 7%; M10 With The Vectors 24%, Projected without changes 6%; M11 With The Vectors 26%, Projected without changes 6%; M12 With The Vectors 28%, Projected without changes 6%

Client testimonial

“Our sales team now hears "ChatGPT recommended you" on discovery calls. That was unthinkable a year ago.”
VP Marketing · B2B SaaS company (placeholder)

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