How we got Vokaro named by AI assistants

We wrote Vokaro’s pages, and Google’s AI now quotes them back. Ask the questions Vokaro’s buyers actually type and it is named in 8 of 9 Google AI Mode answers. In 8 of those same answers the engine built its reply partly from vokaro.net itself, which makes the content we wrote one of the 3 most-cited sources in its category. Nobody paid for a placement. 5 different AI assistants now send it visitors, up from 1 at launch.

Engagement scope: DACH buyers, measured in German, on the questions Vokaro’s own buyers type. Yours would be measured in your market, in your language, on yours. Every prompt and every raw answer is archived in full.

Client

Vokaro (opens in a new tab), Serhat Cakmaktepe (opens in a new tab), founder

Category

B2B SaaS · AI phone-assistant platform

What we did

Earned-authority content, the answer-shaped pages AI engines cite

Engines

ChatGPT · Google AI Mode

Market & language

DACH · German prompts

Measured

2026-07-17

Vokaro launched into a crowded category where buyers increasingly ask an AI assistant, not a page of blue links, which software to use. A new brand is absent from those answers by default; the ones that get named are the ones whose content the models have learned to read and trust.

We did the earned-authority work our engagements are built on: the answer-shaped content the engines actually read, category and comparison pages, plain-language product facts, structured so an AI assistant can quote it. No paid placements, no directory buys; the visibility below is earned by pages that answer the buyer’s question well enough for the engines to cite them.

When buyers ask AI assistants for software in Vokaro’s category, Vokaro now shows up. It’s named in 8 of 9 Google AI Mode answers we measured, and the engines pull from Vokaro’s own pages to build those answers, the content we made is itself a cited source, not a paid placement.

The engines read differently, and measuring both is what shows you where the next move is. Same prompts, same market, same day: 8 of 9 on Google AI Mode against 2 of 15 on ChatGPT. AI Mode reads the open web readily and rewarded the owned pages first. ChatGPT leans harder on third-party sources, which is precisely the work a sprint takes on next. A single blended score would have hidden that, and you would not know where to spend.

measured 2026-07-17 · 9 AI Mode + 15 ChatGPT runs · DACH market · de · measured 2026-07-17

The other half shows up in Vokaro’s own analytics: people arriving from AI assistants. At launch a single engine sent traffic; since then all 5 have, 88 sessions across the period.

Vokaro internal analytics (Umami) · unique sessions by referrer · 2025-12-19–2026-07-17

Run in German, because that is what Vokaro’s buyers type. English translations are shown for readability only, the German strings are what was actually asked, identically on every run:

1. “bester KI-Telefonassistent für kleine Unternehmen” “best AI phone assistant for small businesses”
2. “KI-Telefonassistent der automatisch Termine bucht” “an AI phone assistant that books appointments automatically”
3. “beste KI-Telefonassistenten für Handwerker und Arztpraxen” “best AI phone assistants for trades and medical practices”

Every raw answer behind the numbers on this page, full text, timestamps and cited URLs, is published unedited in the evidence archive.

This is the measurement-led approach we bring to every engagement: build the pages the engines actually read, then measure whether the answers move.