Customer stories

Outcomes, told as stories

Each story below is a clearly-marked sample showing the kind of outcome the product is built for. We will replace these with real, approved customer results — we never present a fabricated result as real.

Stryvia SEOSample story

A B2B SaaS startup

Challenge. Ranking in classic Google but invisible in ChatGPT, Gemini and Google AI Overviews, with a backlog of fixes nobody had time to ship.

Approach. Ran an AI-visibility audit, then wrote and published structure, schema and content fixes — every change cited and reversible — while tracking share-of-answer per engine.

Outcome. Share of answer climbed and fixes shipped weekly, all measured from the customer's own stored rows.

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+44 ptsshare of answer
91/100health score
7×fixes shipped

Stryvia PerformanceSample story

A Saudi finance company

Challenge. Paid spend scattered across Google and Meta with no single read on what actually drove funded applications, and a CPL the team could not bring down.

Approach. Connected Google Ads and GA4 read-only, surfaced wasted spend per campaign, and shifted budget toward the brand and high-intent terms the conversion data justified — every change approved by the team before it spent.

Outcome. Wasted spend cut and CPL down, with each move traceable to a stored row.

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−68%wasted spend
−35%cost per lead
15 ptslost-IS recovered

Stryvia IntelligenceSample story

A regional lender

Challenge. Leadership heard about regulatory changes and competitor launches days late, third-hand, with no research desk to keep up.

Approach. Scoped the engine to the lender's regulators, competitors and market, then delivered a daily executive brief with every claim quoted verbatim and sourced.

Outcome. A board-ready morning brief replaced a slow, expensive research scramble — sourced, bilingual, on time.

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Dailyexecutive brief
100%claims sourced
EN/ARbilingual

Stryvia ChatSample story

A local services business

Challenge. Customers messaged after hours on WhatsApp and the website, and a generic bot frustrated them while leads scattered across inboxes, unscored.

Approach. Built a trained, on-brand agent from the business's URL, went live on WhatsApp and a web widget, and routed every conversation into a scored CRM with bookings and follow-ups.

Outcome. After-hours conversations became qualified, scored leads instead of missed messages.

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24/7always on
MinutesURL to live agent
Everylead scored to CRM