Mar 17, 2026
Trust Signals That Improve LLM Citation Rate
HTTPS, clear authorship, dated updates, and consistent facts across properties stack into trust—both for classical ranking and for inclusion in synthesized answers.
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Practical writing on GEO, AI search visibility, content operations, and technical SEO.
Mar 17, 2026
HTTPS, clear authorship, dated updates, and consistent facts across properties stack into trust—both for classical ranking and for inclusion in synthesized answers.
Read articleMar 16, 2026
Design experiments with pre-registered prompts, control pages, and reusable templates—so wins become playbooks instead of one-off anecdotes.
Read articleMar 14, 2026
Refresh for crawlers and for answers: prioritize pages with decaying facts, shrinking inclusion, or rising competitor narratives.
Read articleMar 11, 2026
What you put in context—order, headings, summaries—changes what models emphasize. Engineer pages so the right facts survive compression.
Read articleMar 10, 2026
When behavior shifts overnight: freeze risky publishes, re-run golden prompts, communicate internally, and patch only what evidence supports.
Read articleMar 8, 2026
Policies for AI-assisted publishing: approvals, logging, PII handling, and rollback paths so speed does not outpace accountability.
Read articleMar 7, 2026
Expect multimodal answers, tighter sourcing policies, and hybrid interfaces. Position your brand for durable discovery—not for any single widget.
Read articleMar 5, 2026
Build a sampling strategy, rubric, and archive so leadership can see whether assistants quote you accurately—not just whether your name appears.
Read articleMar 4, 2026
Use JSON-LD and clean HTML patterns so machines—and assistants retrieving the open web—can understand entities, relationships, and primary intent of each page.
Read articleMar 2, 2026
Docs and help centers are retrieval magnets. Structure them so assistants cite correct procedures, limits, and integrations—not forum rumors.
Read articleMar 1, 2026
Monitor rivals in AI answers with ethical sampling, transparent methodology, and humility about what snapshots can and cannot prove.
Read articleFeb 27, 2026
Experience, expertise, authoritativeness, and trustworthiness matter twice in YMYL-style answers where models and regulators both ask for provenance.
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