Topic
Brand Strategy
10 articles on Brand Strategy from the Rankry team.
How to Get Cited on Reddit for AI Visibility (2026)
How to get cited on Reddit for AI visibility without getting banned: find the threads AI already cites, contribute genuinely, disclose who you are, and track whether the citations follow.
Rankry Team · July 25, 2026
Why AI Recommendations Change Overnight (And How to Not Get Caught Off Guard)
New models, index updates, competitor moves, and run-to-run variance reshuffle AI recommendations without warning. How to build durable visibility that survives updates, and see every shift the week it happens.
Rankry Team · July 22, 2026
What Is AI Share of Voice and How to Measure It
AI Share of Voice is your slice of all brand appearances in AI answers. How to calculate it with a worked example, the three kinds that matter, what counts as good, and how to improve it.
Rankry Team · June 30, 2026
How AI Product Recommendations Work (and How to Influence Them)
When a buyer asks AI for the best tool, it returns one to three named products, not ten links. How engines pick products, why the journey shifted from searching to asking, which signals drive recommendations, and how to track yours.
Rankry Team · June 18, 2026
Why Isn't My Brand Showing Up in ChatGPT?
ChatGPT skips a brand for five specific reasons, and each leaves a different fingerprint. Here is how to tell which one is yours, why the same five decide every other AI engine, and what actually closes the gap.
Rankry Team · June 6, 2026
Mentioned Is Not Recommended in AI Search
Mention counting is a surface metric. What matters in AI answers is position, reasoning, and whether the buyer is being told to pick you or a competitor.
Rankry Team · April 20, 2026
AI Visibility Audit: A 30-Minute Brand Checklist
Step-by-step diagnostic for how ChatGPT, Claude, Gemini, and Perplexity treat your brand — what to test, what the answers mean, and the fixes to start with.
Rankry Team · April 7, 2026
Daily vs. Weekly: How Often to Track AI Visibility
Daily LLM monitoring measures model stochasticity, not brand position. Here's why weekly tracking with large prompt samples produces better data.
Rankry Team · April 3, 2026
How LLMs Choose Which Brands to Recommend
AI assistants don't pick brands randomly. Here are the five signals that determine whether your brand gets recommended or replaced.
Rankry Team · March 13, 2026
The Future of Brand Discovery in the AI Era
The shift from search engines to AI assistants is transforming how consumers discover brands. Here's what this means for marketers and businesses.
Rankry Team · February 27, 2026