Expert Answer
AI search optimization results follow a predictable timeline for cleaning companies. Here's what to expect:
Week 1-2: Foundation deployment
- Schema markup deployed (immediate technical improvement)
- Meta tags optimized (AI readiness score increases 10-20 points)
- This is technical setup — no citation impact yet
Month 1: On-site optimization complete
- AI readiness score improvement of 25-40 points
- Pages now parseable by AI crawlers
- First content pieces published
- Entity building initiated (Wikidata, GBP optimization)
Month 2-3: Entity propagation
- Wikidata entry propagates to AI training pipelines
- GBP optimizations reflected in Gemini
- First AI citations start appearing (typically 2-5 per month)
- Content library growing with GEO-optimized articles
Month 3-6: Momentum building
- Citation frequency increases to 8-15 per month
- Thompson Sampling strategy refining which optimizations work best
- Entity authority strengthening across all five platforms
- Competitor displacement begins in specific query categories
Month 6-12: Compounding returns
- Citation frequency reaches 15-30+ per month
- Strong entity presence established across knowledge graphs
- AI engines consistently recommend your business for relevant queries
- Self-reinforcing cycle: more citations → more authority → more citations
Important caveats:
- Perplexity shows results fastest (days to weeks)
- Gemini/Google next (1-4 weeks for schema, 2-3 months for entity)
- ChatGPT training data updates are less predictable (1-3 months)
- Competitive markets take longer than low-competition areas
The biggest mistake cleaning companies make is giving up after 30 days. Entity building is a 3-6 month investment that compounds over time.