Treat AI visibility as distribution of accurate, citable facts - not a hack for guaranteed assistant mentions.
Best for: B2B SaaS in confusing categories where buyers ask chatbots "what tool should I use?"
No ethical workflow promises rankings in third-party assistants.
Quarter checklist (realistic)
Week 1–2: Inventory
- One canonical pricing page (no conflicting numbers elsewhere)
- One security / trust page with current certifications
- One integrations page with verifiable links
- Comparison pages fact-checked against competitor docs
- Run GEO & LLM Site Analyzer
- Run startup site health checklist items
Week 3–4: Content alignment
- Add FAQ block with quotable Q&A (real objections from sales)
- Publish or update llms.txt (guide)
- Scan Trending Problems + threads for buyer phrases
- Update homepage H1 if public language diverged from marketing copy
Week 5–12: Maintenance
- Monthly: re-run GEO analyzer after template changes
- Monthly: Search for brand + "alternatives to [you]"
- Quarterly: refresh comparison tables and pricing
What to ship vs what to skip
| Ship | Skip |
|---|---|
| Accurate docs + examples | "GPT ranking packages" |
| Honest comparison pages | Directory spam for models |
| Structured FAQ schema | Hidden keyword blocks |
| llms.txt with real links | Fake third-party "reviews" |
Reference: Google Search Central for sustainable content quality (general web, not AI guarantees).
Pair GEO with conversation demand
Models learn from public web text. Threads often lead homepage copy by months.
- Log phrases from community search (positioning guide).
- Mirror accurate phrases in docs - not keyword stuffing.
- Re-run GEO analyzer to confirm crawlable structure.
Internal promises to avoid
- "We will rank inside ChatGPT"
- "Spam directories to fool models"
- "One blog post fixes AI visibility"