AI Recommendations · managed service
Know your competition. Then beat them.
When a buyer asks an AI who to use, one company gets recommended first. Our managed service finds out who that is in your category, and then takes the recommendation from them.
+480%
verified AI wins in 11 weeks
Soapbox Bulletin, 5 → 29 of 80 queries
58 vs 34
verified #1 finishes vs the nearest rival
most recommended brand in its benchmark
+300%
wins, May to June
wealth-management client, from a zero baseline
Step one: know the competition
The AI tells us exactly who you’re up against.
We do not guess at your competitor list, and neither do you. We ask the platforms your buyers use, ChatGPT, Perplexity, Gemini, and Grok, who they recommend in your category, and they name the field themselves. Sometimes it is who you expect. Often it is not: brands you have never considered rivals are winning your buyers’ questions right now, and same-named companies may be absorbing recommendations that should be yours.
That field becomes the benchmark. The same buyer-intent questions, against the same competitors, put to all four platforms every month, with every result verified against each company’s own domain. Who the AI actually recommends, on the record.
Step two: beat them
We raise your domain’s authority until the AI changes its mind.
The benchmark shows what evidence the platforms weigh when they compare you to the field. We engineer content to supply exactly that evidence, on your own domain, in structure machines can parse and cite, with a human editing and approving every piece before it publishes. As the library grows, the AI-perceived authority of your domain rises, and the platforms’ own reasoning starts picking you in comparisons they used to answer with someone else.
Then we run the benchmark again. Same questions, same competitors, every month. A gain only counts if it holds, and the record shows whether your authority is maintained, compounding, or slipping.
Head-to-head wins are the lead signal; mentions, broader visibility, and traditional search gains are expected to move behind them.
The scoreboard
Measured on locked prompts, month over month, with every number verified against the client’s own domain.
SMS & messaging
+480% wins
verified AI wins in 11 weeks: 5 → 29 of 80 queries
Soapbox Bulletin
From sixth place to the most recommended brand in its benchmark, beating SimpleTexting, Wonder Cave, Peerly, Twilio, and DirectSnd on identical prompts.
Read the case study
Wealth management · brand redacted for compliance
+300% wins
May to June (1 → 4), from a zero April baseline, across 3 of 4 platforms
An independent wealth manager
More than a dozen firms share the client's name inside the AI engines. URL-grounded measurement found the real story: win the name first, then the market.
Read the case study
How the service runs
One team runs the whole loop, every month.
Most tools hand you a dashboard and leave the hard part, the content, the publishing, the follow-through, to you. That is where momentum dies. We run it end to end: the monthly benchmark, the content engineering on your domain, placement across the off-domain sources AI pulls from, and the re-measurement that proves whether the needle moved. You stay in control; nothing ships until you approve it.
01 · Build evidence
Publish authoritative, structured content AI systems can reliably crawl, understand, and cite. Drafted at machine speed, approved by a human every time.
02 · Establish identity
Make the engines associate the brand with the correct company and domain — entity resolution, URL-verified.
03 · Win the comparison
Head-to-head recommendation wins on a locked prompt set against a constant competitor field. The leading indicator.
04 · Expand influence
Wins accumulate into broader referencing. Mentions, visibility, and conversions are intended to follow the preference.
The objective is not to increase mentions. The objective is to change which company the AI recommends first.
Can you trust what ships?
Every piece is sourced, human-approved, and yours to sign off.
The content we publish in your name holds to the five principles everything Trinzik builds on. Every claim traces to a real source. The systems decline rather than invent. A person curates, edits, and approves every piece, and every byline belongs to a real person who signs off on what carries their name. We win recommendations on the strength of the evidence, never by gaming or fabricating anything.
Who does the AI recommend first in your market?
A walkthrough shows you, live, how ChatGPT, Perplexity, Gemini, and Grok answer your buyers' questions today, who is winning them, and what we would publish to take the recommendation.