Landing Page Tips, Guides & Strategies

Three filters every blog post passes before publication. (1) Information gain test: does the post add data not in the top 10 Google results for the same query? If we can find equivalent content elsewhere, we don't publish. (2) Reddit test: would a knowledgeable commenter on r/marketing or r/SaaS upvote this, or call it AI slop? Round-number stats without sources fail. (3) Operational specificity test: are the recommendations actionable in 30 minutes, with named tools, named patterns, and named tradeoffs?

Posts that pass all three filters get published. Posts that fail any of them get rewritten or killed.

Why this matters: most landing page blogs publish recycled tips ('use a strong headline', 'optimize for mobile') without sourcing them. Google's 2024 Helpful Content Update specifically targeted that pattern — generic tips without sourced data lost 30-70% of organic traffic in HCU passes.

Cross-referenced benchmarks: we pull 5+ public reports per topic to identify what top-decile pages do that median pages don't. Recent example: 'Landing Page Conversion Benchmarks for 2026' — pulls from Unbounce, Mailchimp, Klaviyo, Marketo, ON24, and 4 other 2024 reports.

Architecture analyses: deep-dives into what separates top-decile pages from median pages in a specific category. Recent example: 'What's Actually on a Top-Decile SaaS Landing Page' — a structural analysis of 50 high-converting SaaS landing pages from the Unbounce 2024 dataset.

Migration playbooks: step-by-step guides to switching tools, including the hidden costs and gotchas competitors don't surface. Recent example: 'How to Migrate from Leadpages'.

Decision frameworks: how to think about landing-page choices (homepage vs landing page, free tier vs paid trial, single page vs multi-page) based on the actual conversion data, not opinion.

We refuse to publish stats without sources. Every benchmark on this blog cites a named public report (Unbounce, HubSpot, Marketo, ON24, OpenTable, Klaviyo, Mailchimp, Sumo, Wordstream, Mindbody, Teachable, M+R, NAR, Pixieset, Plain, OpenView, IHRSA, First Round Capital, Indie Hackers retrospective threads).

We disclose conflicts of interest. AIPages is our product. Every comparison and recommendation discloses that — and includes scenarios where the competitor is the better choice. We've published 8 head-to-head comparison pages where AIPages legitimately loses on specific dimensions; we surface those losses, not hide them.

If you spot an error, an outdated benchmark, or a claim that doesn't pass scrutiny, email editorial@aipages.app. We update content within 7 days of receiving a credible correction and note the change inline.