Our goal is to publish content that is bold, useful, accurate, and commercially grounded. This policy sets the standard for how public-facing content is planned, reviewed, approved, and maintained across limy.ai and related materials.

What we publish

We publish technical, educational, and commercial content, including product pages, blog articles, solution pages, comparison pages, category explainers, buyer guides, campaign assets, webinars, decks, one-pagers, case studies, agency resources, and other public-facing materials.

Some pieces are written for practitioners, others are written for executives who need to understand AI search as a new growth channel and prove its impact on pipeline, revenue, brand visibility, and market share.

Every piece should help the reader understand how AI search is already shaping discovery and buying decisions, and brands need a way to see, improve, and measure that channel.

Our editorial standards

Accuracy

Any product, technical, attribution, revenue, workflow, or market claim published under the Limy name should be grounded in something real. Acceptable support includes approved internal product documentation, validated product behavior, subject matter expert input, customer-approved information, demo-verified workflows, or credible external sources.

Our content should be direct, practical, and commercially useful. When appropriate, we include workflow context, examples, prompt-level explanations, attribution assumptions, agent behavior patterns, and clear links between AI visibility and business outcomes.

How review works

Most public-facing content goes through at least two layers of review before publication: editorial review and subject matter review.

Editorial review checks clarity, structure, tone, readability, brand alignment, and whether the piece is useful to the intended audience.

Subject matter review checks whether product claims, technical explanations, workflow descriptions, attribution language, market claims, and platform references are current, accurate, and aligned with approved messaging.

Sensitive claims

Some Limy content touches on user behavior, agent behavior, attribution, conversion data, AI-generated recommendations, paid visibility, commerce journeys, and analytics infrastructure. Content in these areas must use careful, factual language. When the topic is sensitive, the right internal reviewer should approve the piece before publication.

Comparisons and listicles

When we publish comparison pages, alternatives pages, “best AI SEO tools,” “best GEO platforms,” or similar content, the goal is to help marketers make informed decisions.

Methodology should reflect the criteria that matter in AI search and the agentic web, including AI search visibility coverage, prompt-level intelligence, citation and source analysis, sentiment and competitor tracking, real agent behavior tracking, AI bot and crawler visibility, revenue attribution, optimization recommendations, execution support, reporting quality, and enterprise readiness.

Fairness matters. Focus on concrete differences, tradeoffs, and category boundaries. Do not caricature competitors or invent limitations. Claims about third-party tools should be grounded in credible sources, product documentation, demos where available, or reviewed internal knowledge.

AI-assisted drafting

AI tools may support research, summarization, outlining, editing, and repurposing. But AI output is not treated as publish-ready by default.

Anything published under the Limy name should still be reviewed by a human editor and, where needed, by an internal subject matter expert. Final responsibility for accuracy, positioning, and tone remains with Limy.

Updating content and corrections

We review and refresh content periodically, especially pages that include product details, attribution claims, technical explanations, competitive comparisons, AI platform references, customer outcomes, pricing references, privacy language, or emerging category definitions.

If we determine that something published under the Limy name is materially inaccurate, we correct it. That may involve revising technical language, removing unsupported claims, updating outdated information, clarifying scope, correcting a competitor description, or adjusting the way we describe attribution, agent behavior, revenue impact, or product capabilities.

Contact us

Questions, correction requests, or feedback about this policy or anything published by Limy can be submitted through our website.