When the user wants to plan, run, or fix paid ads on Google, Meta, and LinkedIn, or asks a judgement call on them: are ads worth it, which channel or budget split, why CPA rose, kill or keep a campaign. End with facts, hypotheses, and missing data; label…
When the user wants to plan or improve a lead magnet, or asks what to give away for emails or how much to ask in return (gating, form fields): checklists, templates, ebooks, gated guides, content upgrades. For interactive tools, see free-tools. For the…
When the user wants to add, fix, or validate schema markup (JSON-LD), or asks which type fits a page or whether some markup is allowed: product, review, recipe, FAQ, rich result eligibility (FAQ no longer earns Google rich results), Search Console errors. For…
When the user wants to list a product in startup, SaaS, AI, MCP, and review directories, or asks which directories are worth it or whether listings are working: Product Hunt, G2, Capterra, AlternativeTo, MCP registries, awesome lists, and a submission…
When the user wants to write or judge ad creative, or asks which ad, hook, or angle to run or kill: headlines, primary text, and variations for Google, Meta, LinkedIn, and TikTok, fresh angles when creative fatigues. Test hypotheses name the metric,…
When the user wants to get cited and recommended in AI answers (ChatGPT, Perplexity, AI Overviews), or asks why AI cites a competitor, which content gets cited, or whether llms.txt or a page format is worth it: AEO, GEO, AI visibility, agent-readable sites.…
When the user wants to audit or optimize an App Store or Google Play listing, or asks which title, keywords, or screenshots to pick or why downloads are low: subtitle, description, ratings, and comparing listings with competitors.
When the user wants to work out which marketing drives revenue, or asks whether a channel is really working, which numbers to trust, or how to credit podcasts and dark social: attribution models, platforms that over-claim, MMM, incrementality and holdout…
