Research, insights, playbooks and briefings on how AI systems read, cite and recommend brands.
⎯ 20 articles
We mapped 12,400 generative answers across ChatGPT, Perplexity and Gemini.
Why being a recognized entity now outweighs traditional link signals.
A repeatable framework for showing up in pretraining corpora.
Mapping the implicit ranking models use when choosing who to cite.
Mention frequency no longer predicts citation share. Here's what does.
A measurable shift in retrieval weighting across the past 90 days.
Why model answers shift without warning — and how to monitor it.
Citations now decay 3× faster than they did 12 months ago.
What a complete visibility audit looks like in 2026.
A 14-day playbook for restoring brand presence after a refresh.
Reverse-engineering Perplexity's retrieval and ranking pipeline.
Decoding the retrieval triggers behind ChatGPT's browsing layer.
Why structured content outperforms long-form for Gemini citations.
Quantifying the gap between SERP rankings and answer-engine citations.
Page architecture optimized for chunk-level retrieval.
The page format that consistently earns citations across engines.
Which structured data fields move the needle — and which don't.
Results from 30 controlled GEO experiments across 6 verticals.
FAQs are the single most-cited content type across answer engines.
A 90-day operating cadence for GEO-led content programs.