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B2B Tech AI Visibility Case Study: From Invisible to Cited and Recommended
A B2B tech company was missing from the AI-generated answers its buyers relied on. When prospects asked AI assistants for solutions like theirs, only competitors were named — the brand was invisible. Our monthly AI visibility service found the gaps, targeted the prompts that mattered, and secured high-authority editorial placements that made the brand mentioned, cited, and recommended across every major AI engine.
What Was the B2B Tech AI Visibility Challenge?
The buyers actively seeking this company's solutions were asking AI assistants for recommendations — and getting only competitors' names back. For the very solutions the brand offered, it simply wasn't showing up: not mentioned, not cited, not recommended. In an environment where buyers increasingly trust the AI answer, being invisible meant being left off the shortlist before a conversation could even start.
We ran our AI visibility service on a monthly cycle. Each month we analyzed the AI landscape to find the gaps — the prompts where competitors were being mentioned and this brand was not — and targeted exactly those missing prompts: the questions the brand needed to be mentioned, cited, and recommended in. Through careful research, competitor analysis, and the work of our digital-outreach PR experts, we secured high-quality placements where it matters most: authoritative editorial coverage on high domain-authority publications.
Publishing month after month, those high-authority placements became the third-party evidence AI engines draw on — growing the brand's AI visibility by the percentages shown below, from a standing start of zero.
Mentions and citations, growing from zero
Brand mentions and citations by quarter-end. Starting from zero, mentions grew to 37, then 41, then 84, while citations climbed from 6 to 24 to 91 — mentions up +10.8% then +104.9% quarter on quarter, citations up +300% then +279%. Each quarter of monthly editorial placements compounded the brand's presence in AI answers.
The compounding effect of publishing every month
Monthly timeline of AI mentions and citations. The marked points are the measured quarter-end milestones; the curve shows how visibility built from zero through each month of the engagement, accelerating sharply as authoritative placements accumulated and AI engines began citing the brand more often.
Surfaced across every major AI engine
Prompt mentions by AI platform. The brand appeared most in ChatGPT and Google AI, with strong presence in Copilot and Perplexity — broad coverage across the assistants buyers actually use, rather than a single platform. The gap-analysis approach targeted the prompts where each engine was surfacing competitors instead of the brand.
Not just mentioned — cited and recommended
Verified results across all tracked prompts. Across the engagement, tracked prompts produced brand mentions, citation-supported results, direct citations, and leading positions where the brand is the recommended answer — visibility that goes well beyond a passing mention.
Recommended for the solutions the brand offers
Selected prompts where the brand is now the recommended AI answer. Across a range of high-intent buying questions, the brand isn't just mentioned — it's the named recommendation, spanning the core use cases its buyers search for. (Specific prompts withheld as commercially confidential.)
Built on high domain-authority placements
Domain Rating of the publications where the brand was placed and cited. Our digital-outreach PR experts secured coverage on high domain-authority publications — several rated DR 90+ — publishing month after month. These placements became the third-party evidence AI engines draw on when recommending providers, and the citation source behind the AI wins above.
Are your competitors the only ones AI recommends?
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