Written for B2B SaaS founders and marketing leaders building organic pipeline in PropTech, FinTech, and adjacent regulated industries.
Most revision cycles trace back to a brief missing its strategic fields. A 10-field content brief template for B2B SaaS, split into the five fields that prevent wrong-target content and the five that streamline production, plus how AI writing tools change the brief.
Read the post →Your marketing site is probably not the problem. Leaked app URLs, staging environments, and dynamic product states are. A diagnostic framework, the six crawl budget killers unique to SaaS architectures, the fix that maps to each, and the new AI-crawler threat to crawl capacity.
Read the post →A SaaS ICP is the most leveraged document your GTM team can produce. The six-step build process (with 200 customers or zero), green/yellow/red account tiering you can ship to your CRM this week, and a lead score that connects the profile straight to pipeline.
Read the post →Most journey maps are built from internal sales stages and break on first contact with a real buyer. The signal-based method: collect from G2, Reddit, and sales calls, structure into committee-aware stages, map content to each, and validate against behavior.
Read the post →The three-direction linking model (upward, downward, lateral), anchor text rules, link ratios, crawl depth, the AI citation connection, and a four-step audit workflow you can run this week.
Read the post →Exactly what goes in an llms.txt file, where it lives, and how to let Claude Code draft the whole thing from your sitemap in about ten minutes. Plus the honest read on whether you need one.
Read the post →A mechanism-first report on how LLMs, retrieval, and citation actually work across Google AI Overviews and AI Mode, Gemini, ChatGPT, Claude, and Perplexity, and what that implies for SEO, AEO, and GEO. Every claim sourced to vendor docs, every lever labelled as interpretation.
Read the report →SaaS sites fail Core Web Vitals for predictable, SaaS-specific reasons: heavy JavaScript, third-party script bloat, dynamic layout shift. How to diagnose the failing metric, which templates to fix first, and the template-level approach that compounds across your whole site.
Read the post →Most SaaS content programs are built around the wrong input. The system that turns content into pipeline starts from buyer signals, maps to buying committees, and earns visibility across Google and AI answer engines at once. The full four-layer methodology.
Read the post →Orphan pages are live URLs no page links to: invisible to search crawlers and AI engines alike. How to find them in under 30 minutes, why the cost goes beyond crawl budget, and how to stop them forming.
Read the post →Keyword tools measure volume, not who is ready to buy. Where to find real buyer intent keywords (G2, Reddit, sales calls), a four-factor framework to score them, and how to win both Google rankings and AI citations.
Read the post →What to look for, how to evaluate options by stage and vertical, what realistic retainers cost in 2026, and which KPIs to track from day one. Plus what we found when we ran the same framework on our own brand and came up invisible.
Read the guide →G2 reviews are structured buyer language most SaaS teams read once and forget. A four-step framework to extract ICP signals, competitive gaps, and content inputs, and why review language is the same language buyers type into AI search.
Read the post →Comparison pages are one of the highest-leverage AEO surfaces for B2B SaaS. The URL pattern, the page structure, the smaller-brand play, and the five mistakes that quietly kill citation.
Read the post →Reddit is a top-3 citation surface for B2B SaaS AI search queries. Why the engines lean on it, what citation looks like in practice, and the five-move playbook to earn it without being a spammer.
Read the post →Five archetype prompts, two AI engines, zero brand presence. The framework correctly diagnosed me. Here is the data, the one mechanical lesson worth keeping, and three commitments with dates.
Read the post →Most teams track their own brand name. That is the lowest-signal prompt you can run. Five archetypes that show whether AI engines actually know you exist, and how to construct one for your category.
Read the post →Every tool tracks the same metrics. None of them lift your citations on their own. A practitioner breakdown of the 2026 landscape, the four tiers of the category, and the one question that tells you when to upgrade.
Read the post →42 to 83 on Cloudflare's agent-readiness audit (Level 5, "Agent-Native"), three of four scored categories maxed, plus a hosted MCP server anyone with Claude Desktop can add. The full ship log.
Read the post →A 5-query pilot across Google AI Mode, ChatGPT, and Perplexity. 64 unique agencies named, 25 audited. 66% diverge from classic Google. 1 in 4 couldn't be independently verified.
Read the post →Topic-cluster content works reliably for some category shapes and fails reliably for others. The three failure modes, the four-signal diagnostic, and the adaptation for vertical B2B SaaS.
Read the post →Organic traffic and pipeline used to move together. They don't anymore. The three forces that pulled them apart, and the KPI panel that replaces "traffic up X%".
Read the post →There's no single dashboard for AI visibility. How to triangulate it across GA4, Search Console, and direct citation tracking, and read the surfaces together.
Read the post →ChatGPT doesn't rank pages like Google, it cites them. How AI answer selection actually works, and the practical playbook to get your brand mentioned.
Read the post →Google Search says skip llms.txt. Chrome's Lighthouse tool checks for it. Not a contradiction, two different surfaces, and here's what to actually do about it.
Read the post →Original research: 25 prompts run across ChatGPT, Claude, Perplexity, and Google AI Overviews. Same query, four different brand citations. What per-engine variance means for B2B SaaS AEO.
Read the post →The real difference between AEO and SEO, why it matters for PropTech and FinTech SaaS, and how to make AI search engines cite your content.
Read the post →Want the receipts? → our case studies
