We Found Our Competitors’ AI Prompt Strategies in Search Console
What structured queries reveal about buyer personas, rivals, markets and evaluation rules.
Read the studyLead researcher · Founder & CEO, Trakkr
Researching how AI discovers,
evaluates and cites the web.
Original studies on the sources behind AI answers, the crawlers that reach them, and what it means for brand visibility.

Study 012
What structured queries reveal about buyer personas, rivals, markets and evaluation rules.
Study 012 · Published 25 Aug 2026
Search Console data: 18 Apr 2025 to 17 Aug 2026
Study 010
A randomized experiment measuring crawler coverage, retrieval demand and transfer efficiency.
Study 010 · Published 6 May 2026
Page-level assignment to HTML or Markdown
Page-level assignment with weekly crawler and live retrieval aggregation. Read the method before interpreting the result.
Read the experiment →Trakkr Research · 13 studies, newest first
We asked ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews 200 questions that call for a number, then followed every statistic they quoted back to its source. Four in ten reached a study that says the same thing.
We decoded 3,476 structured Search Console queries that revealed buyer personas, competitor sets, markets and evaluation rules used in AI visibility tracking.
An exploratory benchmark separating AI citation from recommendation and measuring how recommendation rates change around a brand page's first observed citation.
Live randomized experiment measuring whether Markdown changes AI crawler coverage, retrieval demand, and transfer efficiency.
Longitudinal citation persistence and visibility volatility benchmark behind the Citation Decay study.
Benchmark of the content, schema, authorship, and structural traits shared by AI-cited pages.
Benchmark of websites embedding hidden prompts that attempt to influence AI chatbot citation and memory behavior.
Page-type citation efficiency benchmark cross-referencing AI citations with AI crawler visits.
llms.txt adoption and citation-impact benchmark across AI-cited domains.
Cross-model agreement benchmark showing how often AI systems recommend the same brands for the same prompts.
AI crawler behavior benchmark covering traffic share, entry pages, session depth, and revisit patterns.
Prompt-to-search-query rewrite benchmark showing how AI systems transform user questions before retrieving sources.
Public AI Citation Index covering 80.8M citation appearances, domain concentration, source categories, prompt intent, and explicit coverage limits.
Founder of Trakkr · Previously Byword ↗
Built and scaled paid acquisition at agencies and in-house. Managed millions in ad spend across social and search. Learned that the best marketing is finding leverage.
Built an AI writing tool from scratch. Watched it grow organically to 85,000 users. Saw firsthand how AI was reshaping content creation, and realized something bigger was coming.
byword.ai ↗People started asking ChatGPT for recommendations instead of Googling. AI became the new discovery layer. Trakkr exists to help brands understand this shift: who AI recommends, and why.
trakkr.ai →No VC, no committees. Just relentless focus on building the best product. That’s why we can move fast.
Revenue-funded from day one. Aligned incentives with customers, not investors. Sustainable by design.
The AI landscape changes fast. We ship updates weekly while others wait for approvals.
Happy to chat about Trakkr, AI visibility, growth marketing, or just say hi.