Kindle book
Your traffic grows, but enterprise buyers still book demos elsewhere
The Bottom-of-Funnel SEO + LLM Cost Hacker's Guide is a Kindle book by İsmail Günaydın that pairs two playbooks: capturing low-volume, high-intent searches from enterprise buyers, and reducing the cost of running large language models. It covers keyword discovery, buyer landing pages, programmatic clusters, churn capture, EEAT and LLM cost tactics.
The Bottom-of-Funnel SEO + LLM Cost Hacker's Guide. Convert Intent, Cut Costs, and Win Enterprise Clients with SEO + AI
The dashboard looks healthy. Organic sessions are up, the blog ranks for broad terms, and the top-of-funnel guides get shared. Then you look at the pipeline. The visitors read and leave. The procurement lead who is actually ready to buy typed a narrow, specific query, landed on a competitor's comparison page and booked the demo there. You never saw the search, because it only gets a few dozen hits a month.
At the same time, the AI features you shipped to scale content and support are running up a token bill nobody planned for. Every summary, every brief, every chat reply goes to the most expensive model by default. So two budgets leak at once: the content budget that attracts the wrong readers, and the AI budget that pays premium rates for simple jobs. Most teams only watch one of them.
Standard SEO advice chases volume, and standard AI advice says the bill is the price of progress. This book argues the opposite on both fronts. It treats tiny, high-intent keywords with institutional modifiers as the most valuable pages you can build, and it treats LLM usage as something to audit, tier and cache. Two technical playbooks, written for teams that publish content and run AI in production.
You come away with a way to find the searches buyers make right before they talk to sales, pages built for what a procurement or IT reader checks first, and tactics for catching prospects comparing you with alternatives. On the AI side, you get a practical framework for model selection, prompt design, caching and batching, and a way to scale SEO and AI work together instead of letting them fight for budget.
Where is your pipeline and AI budget leaking?
- Ranking for readers, not buyersBroad terms bring traffic that never converts, while the narrow searches decision-makers use stay unclaimed.
- Pages that ignore institutional buyersYour landing pages speak to individuals. Procurement, IT and administrators look for answers those pages never give.
- Losing the comparison momentProspects searching for alternatives or cancellation steps find a competitor's page first.
- An AI bill growing on autopilotEvery task goes to a premium model with long prompts and no caching, so costs rise faster than usage.
Inside the 13 chapters
- 01Understanding bottom-of-funnel SEOWhat makes low-traffic, high-intent keywords valuable and the language cues that separate organizational searches from consumer ones.
- 02Keyword discovery and research frameworkA step-by-step method for finding the buyer-intent phrases your tools tend to hide.
- 03Landing page architecture for conversionHow to structure pages that answer what institutional buyers need before they request a demo or quote.
- 04Contributor-driven growthUsing submission keywords and a contributor hub to attract expert content and earn authority.
- 05Programmatic SEO and keyword clustersScaling pages across related buyer queries without producing thin, repetitive content.
- 06Competitive interception and churn captureHelpful pages for alternative and cancellation searches that present your product as the next step.
- 07External tactics and backlinksCommunity platforms, embeddable tools and link strategies for wider long-tail visibility.
- 08EEAT in AI-era searchThe trust and expertise signals that matter when search results are crowded with AI-generated text.
- 09Reducing LLM infrastructure costsUsage audits, tiered model selection, concise prompts, caching, batching and hybrid open-source pipelines, then integrating SEO and LLM efficiency for scale.
What does it look like when both budgets work?
Your content plan shifts from broad keywords to a short list of searches that come right before a sales conversation. Pricing, comparison and alternatives pages answer what enterprise buyers check first. Your AI pipeline sends simple jobs to cheaper models and reuses what it can. You end up with one playbook where SEO and AI operations grow together.
This book is for you if
- You are a technical SEO working on a B2B, SaaS or marketplace site
- You are a growth lead or founder who owns pipeline, not just traffic
- You run AI pipelines for content or support and watch the monthly bill
- You want competitor and churn-moment pages that are useful, not aggressive
Probably not for you if
- You sell low-priced consumer products where enterprise buyer intent does not apply
- You want a beginner's introduction to SEO. The book assumes you already publish and use AI tools.
Who wrote this book?
İsmail Günaydın builds and runs digital businesses as a one-person operation. He is the founder of ModernWebSEO and has built more than 100 websites. He writes about systems, leverage and the practical tools that let a single operator do work that used to need a team. If a chapter can't be acted on by Friday, it didn't earn its pages.
Questions about the guide
What format is the book?
It is a Kindle ebook in English, sold on Amazon. You can read it on a Kindle device or the free Kindle app for phones, tablets and computers.
Who is it for?
Technical SEOs, B2B growth leads, founders selling to organizations, and engineers who run LLM-powered content or support pipelines and are responsible for what those pipelines cost.
What does the book cover?
Thirteen chapters: bottom-of-funnel keyword research, landing pages for institutional buyers, contributor content, programmatic clusters, churn and competitor interception, external tactics, backlinks, EEAT, LLM cost reduction and a combined scaling playbook.
How is it different from a regular SEO book?
It deliberately ignores high-volume vanity terms and focuses on the narrow searches that come before a purchase. It also adds a second playbook on AI infrastructure cost, which SEO books usually leave out.
How long is it?
It is a compact playbook. The manuscript PDF is about 22 pages across 13 chapters, written as dense, actionable steps rather than long narrative. Kindle page counts vary with device and font settings.
