Blog · GEO
GEO — 6 articles for US service businesses
Generative Engine Optimization — how to get cited by Google AI Overviews, Bing Copilot, and Perplexity in 2026. Covers passage-level optimization, FAQPage schema, llms.txt, recency signals, and engine-specific tactics for the three major AI search surfaces.
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More GEO articles
Sorted newest first. 6 total GEO articles in the Foundgrove blog.
- GEO
Schema Markup for GEO: Which Schemas Actually Matter
Most schema work is wasted on GEO. Here are the 4 schemas that move AI citation rates — and the ones (Speakable, HowTo rich results) that no longer do.
By The Foundgrove teamJun 26, 202610 min readRead the geo playbook → - GEO
Passage-Level Optimization: The Inverted Pyramid for AI
AI engines extract 120-180 word chunks, not whole pages. Here's the inverted pyramid pattern that gets passages cited — with concrete examples.
By The Foundgrove teamJun 15, 202611 min readRead the geo playbook → - GEO
How to Rank in Perplexity in 2026: The Recency Play
Perplexity is strongly recency-biased and cites its sources transparently. Here's the recency-first, clean-HTML playbook that gets you cited.
By The Foundgrove teamJun 5, 202610 min readRead the geo playbook → - GEO
llms.txt Explained: Does It Work, and How to Do It Right
A growing set of domains has adopted llms.txt — but does GPTBot, ClaudeBot, or PerplexityBot actually fetch it? Here's the honest assessment and the right template.
By The Foundgrove teamMay 28, 20269 min readRead the geo playbook → - GEO
How to Get Cited by Google AI Overviews in 2026
AI Overviews now appear on roughly 48% of queries. Here's the passage pattern, schema combo, and concrete before/after rewrites that get you cited.
By The Foundgrove teamMay 20, 202611 min readRead the geo playbook →
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