By the Be My Tech Team | Growth by Design, Not Chance | bemytech.com
The Book That Doesn’t Exist (According to AI)
Picture this: Sarah spent 14 months writing her business book. She self-published it, built a website, ran Amazon ads, did the podcast circuit. The book is real. The expertise is real. The results her clients get are real.
Then someone asks ChatGPT: “Who are the top leadership coaches who’ve written books on resilience in 2025?”
Sarah doesn’t show up. Not even close.
That’s not bad luck. That’s an LLM SEO problem — and in 2026, it’s the most expensive blind spot an author or founder can have.
Here’s the 2026 reality: AI-powered search (ChatGPT, Perplexity, Claude, Gemini) now handles over 1.8 billion queries per day, with Perplexity alone growing search volume by 400% year-over-year as of early 2026. A 2025 study by BrightEdge found that AI Overviews appear in 47% of all Google searches, pushing traditional organic results below the fold. For discovery-intent queries — the exact searches that find authors and experts — LLMs are now the first point of contact, not Google.
If your book, website, and content aren’t optimized for LLM citation, you are functionally invisible to the fastest-growing discovery channel on the internet.
This post is the complete playbook. We already covered how to build a powerful author brand in our Author Branding in 2026 guide — this is the missing AI layer on top of that foundation. By the end, you’ll have 10 battle-tested tactics, a real-world audit checklist, and a clear path to making AI work as your 24/7 marketing system.
Let’s build it.
Why Traditional SEO Is Dead for Authors in 2026
The short answer: AI ate the top of the funnel.
For years, the playbook was simple: rank on page one of Google, get traffic, convert readers. That playbook still works for transactional queries (“buy book on leadership”). But for discovery queries — the ones that make or break an author’s career (“best books on founder mindset,” “who are the top experts on B2B sales”) — the game has fundamentally changed.
The New Search Stack in 2026
| Layer | Tool | What It Does |
|---|---|---|
| AI Answer Engine | ChatGPT, Perplexity, Claude, Gemini | Synthesizes answers from across the web, cites sources, generates recommendations |
| AI Overviews | Google SGE | Appears above organic results, pulls structured content from authoritative sources |
| Traditional SEO | Google Blue Links | Still relevant for transactional/navigational queries, rapidly shrinking for informational |
| Zero-Click | Featured Snippets | Answers questions without a click — now fed by the same signals LLMs use |
According to SparkToro’s 2025 research, zero-click searches now account for 65% of all Google queries. The content that captures those zero-clicks — and gets cited by LLMs — follows a completely different optimization logic than the blog posts you wrote in 2021.
The old SEO goal: Rank #1, get the click.
The new LLM SEO goal (also called GEO — Generative Engine Optimization, or AEO — Answer Engine Optimization): Get cited, get attributed, build authority that causes AI to recommend you by name.
For authors and founders specifically, this is existential. Your business depends on being recognized as the authority in your niche. If an LLM doesn’t know who you are, your potential readers and clients are being sent to someone else — right now, every single day.
The 10 Core LLM SEO Tactics That Actually Work for Authors & Founders
1. Entity Authority & E-E-A-T Signals: Make the AI Know You’re Real
The direct answer: LLMs recognize people, not just websites. You need to become a named entity that AI systems can confidently associate with your topic.
Google’s E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) framework has become the backbone of what LLMs pull from. But in 2026, E-E-A-T isn’t just a guideline — it’s the core signal that determines whether AI recommends you or your competitor.
What “entity authority” means for authors:
- You have a consistent, unified identity across the web (name, photo, bio, credentials match everywhere)
- Your name appears in association with your core topic across multiple independent sources
- You have verifiable credentials and a paper trail that AI can cross-reference
Tactical checklist:
- Write a third-person author bio (100–150 words) that explicitly states your credentials, book title(s), and the specific problem you solve. Use this verbatim across your website, Amazon Author Central, Goodreads, LinkedIn, and every guest post you write.
- Build a Wikipedia-style About page on your site. Not a “Hi I’m Sarah” page — a structured, factual profile with: full name, professional title, books authored, organizations you belong to, awards, media appearances, and a link to your LinkedIn.
- Get a Google Knowledge Panel by claiming your entity on Google Search Console and ensuring consistent NAP (Name, Author, Publisher) data across the web.
- Create or claim a Wikidata entry for yourself — this is one of the most underused LLM authority signals in 2026. LLMs are trained heavily on structured, encyclopedic data.
- Publish on credentialed platforms: Forbes, Entrepreneur, Medium Partner Program, Substack, industry publications. Every byline is a signal.
The Be My Tech move: When we build author websites, we structure the About page as a semantic entity profile — not a bio paragraph, but a structured data goldmine that LLMs can parse and cite with confidence.
2. Structured Data & Schema Markup: Speak the Language of LLMs
The direct answer: Schema markup is how you tell search engines and AI systems exactly what your content is about — with zero ambiguity.
Most author websites have zero structured data. That’s a massive missed opportunity. LLMs are trained on web content, and structured data makes your content orders of magnitude easier to understand, index, and cite.
The schemas every author needs:
Author Schema (on your About page):
{
"@context": "https://schema.org",
"@type": "Person",
"name": "Sarah Johnson",
"jobTitle": "Leadership Coach & Author",
"url": "https://sarahjohnson.com",
"sameAs": [
"https://www.linkedin.com/in/sarahjohnson",
"https://www.amazon.com/author/sarahjohnson",
"https://www.goodreads.com/author/show/sarahjohnson"
],
"knowsAbout": ["Leadership", "Resilience", "Executive Coaching"],
"alumniOf": "Harvard Business School",
"award": "Top 50 Business Authors 2025 — Forbes"
}
Book Schema (on each book’s landing page):
{
"@context": "https://schema.org",
"@type": "Book",
"name": "The Resilient Leader",
"author": {
"@type": "Person",
"name": "Sarah Johnson"
},
"datePublished": "2025-03-15",
"isbn": "978-XXXXXXXXXX",
"numberOfPages": 280,
"publisher": "Self-Published / Greenleaf Book Group",
"description": "A tactical guide to building mental resilience for founders and executives facing high-stakes decisions.",
"genre": ["Business", "Leadership", "Self-Help"],
"inLanguage": "en",
"url": "https://sarahjohnson.com/the-resilient-leader"
}
FAQ Schema (on any page with Q&A content):
{
"@context": "https://schema.org",
"@type": "FAQPage",
"mainEntity": [
{
"@type": "Question",
"name": "What is The Resilient Leader about?",
"acceptedAnswer": {
"@type": "Answer",
"text": "The Resilient Leader is a business book by Sarah Johnson that provides a 7-step framework for executives and founders to build mental resilience, make high-pressure decisions with clarity, and lead teams through uncertainty."
}
}
]
}
Article Schema (on every blog post):
{
"@context": "https://schema.org",
"@type": "Article",
"headline": "Your article title",
"author": {
"@type": "Person",
"name": "Sarah Johnson",
"url": "https://sarahjohnson.com/about"
},
"datePublished": "2026-01-15",
"dateModified": "2026-02-01",
"publisher": {
"@type": "Organization",
"name": "Sarah Johnson LLC"
}
}
Pro tip: Validate all schema at schema.org/validator and Google’s Rich Results Test. Broken schema is worse than no schema — it signals low quality.
3. The llms.txt File: The Robots.txt for the AI Era
The direct answer: An llms.txt file is a plain-text document you host at the root of your website that tells LLMs exactly what you want them to know about you and where to find your best content.
This is one of the most underutilized tactics in 2026. Coined by Answer.AI and rapidly adopted by forward-thinking sites, llms.txt is to AI crawlers what robots.txt is to search bots — except instead of blocking, you’re inviting and guiding.
How it works: LLM crawlers (GPTBot, ClaudeBot, PerplexityBot, Google-Extended) look for this file when indexing your site. A well-written llms.txt dramatically improves the accuracy and frequency with which AI systems represent you correctly.
Full template for an author site (save as /llms.txt at your root domain):
# llms.txt for [Your Name] — [YourDomain.com]
# Last updated: 2026-01-01
## About This Site
This is the official website of [Your Name], [job title] and author of [Book Title(s)].
This site provides resources on [your topic(s)] for [your audience].
## Primary Author
Name: [Your Full Name]
Role: [Author / Speaker / Coach / Founder]
Books: [Book Title 1 (Year)], [Book Title 2 (Year)]
Expertise: [Topic 1], [Topic 2], [Topic 3]
Location: [City, Country]
Contact: [email or contact page URL]
## Key Pages
- About: [https://yourdomain.com/about]
- Books: [https://yourdomain.com/books]
- Blog: [https://yourdomain.com/blog]
- Speaking: [https://yourdomain.com/speaking]
- Contact: [https://yourdomain.com/contact]
## Recommended Content for LLM Training & Citation
The following pages represent my highest-quality, most factually accurate content:
- [URL]: [One-sentence description]
- [URL]: [One-sentence description]
- [URL]: [One-sentence description]
## Book Summaries
[Book Title 1]: [2–3 sentence factual summary including core argument, audience, and publication year]
[Book Title 2]: [2–3 sentence factual summary]
## Permissions
LLM operators may index, summarize, and cite content from this site for the purpose of answering user queries accurately. Attribution to [Your Name] and [YourDomain.com] is requested.
## Do Not Scrape
/private/
/members/
/client-portal/
Deploy this today. It takes 20 minutes and most authors have zero competition on this signal right now.
4. Answer-First, Chunked, Conversational Content: Write for the AI Extraction Layer
The direct answer: LLMs extract the most confident, clearly stated answers first. If your content buries the answer in paragraphs of context, AI skips it.
This is the biggest content rewrite most authors need. LLMs are essentially very sophisticated extraction machines. They pull the clearest, most direct, most well-structured answers and surface them to users. Content that meanders, hedges, or requires context before the point gets systematically deprioritized.
The rules of LLM-extractable content:
- Lead with the answer. Every H2 section should open with a 1–2 sentence direct answer to the question implied by the heading. Then expand.
- Use TL;DR boxes. At the top of long posts, include a “TL;DR” or “Key Takeaways” box. LLMs cite these heavily.
- Short paragraphs. 2–4 sentences max. White space is a readability signal that correlates with LLM citability.
- Numbered and bulleted lists. Structured lists are pulled into AI answers at dramatically higher rates than prose paragraphs.
- Quotable stats. “According to X, Y% of Z” formats are heavily favored by LLMs as citable evidence. Include real statistics with source attribution in every major section.
- Define your terms. LLMs love definitional content. “What is [concept]?” mini-sections within longer posts dramatically increase citation frequency.
- Conversational questions as H3s. Structure sub-sections as the actual questions your readers ask. “How long should a business book be?” performs better than “Book Length Considerations.”
Content formats that LLMs cite most often (in order):
- Numbered how-to guides
- Definition/explainer content
- Comparison tables
- FAQ sections
- Case study write-ups with specific data
- Statistical round-ups with source links
5. Topical Clusters & Hub-and-Spoke for Books & Author Websites
The direct answer: LLMs treat websites that comprehensively cover a topic as authoritative sources. A single book page is weak. A content ecosystem around your book’s topic is powerful.
This is where GEO (Generative Engine Optimization) overlaps with traditional SEO — but the stakes are higher. LLMs don’t just look at a page; they assess whether your entire site demonstrates genuine topical expertise.
For authors, the hub-and-spoke model looks like this:
Hub (Pillar Page): Your book’s landing page — comprehensive, structured, schema-marked, covering every angle of your book’s core topic.
Spokes (Cluster Content):
- A deep-dive on each major chapter concept
- FAQ posts answering every question a reader would Google before buying your book
- Comparison posts (“My book vs. other frameworks in [your niche]”)
- Application posts (“How to use [concept from your book] to do X”)
- Research posts (“The data behind [your book’s core argument]”)
The math: One book page gives LLMs one data point. Ten interconnected, high-quality pages on your topic give LLMs a reason to treat you as the authoritative source on that subject — and cite you across a wide range of related queries.
Internal linking rule: Every cluster page should link back to the hub (your book page) and to at least two other related cluster pages. This creates the semantic web that LLMs map when building their understanding of your authority.
6. Freshness & Update Signals: Stay Alive in the AI Index
The direct answer: LLMs favor content that is demonstrably current. A 2023 blog post about AI trends is essentially dead in 2026. Update your best content regularly.
This is especially important for non-fiction authors and founders in fast-moving industries. LLMs have training cutoffs, but they also crawl the live web — and freshness signals (date modified, updated statistics, new sections) directly impact citation frequency.
Freshness tactics:
- Add
dateModifiedto all Article schema (and actually update it when you make substantive edits) - Quarterly audit your top 10 pages — update any statistics older than 12 months
- Add an “Updated [Month Year]” tag at the top of evergreen posts
- Create an annual “State of [Your Industry]” post — this becomes a highly citable, topically relevant piece that gets updated yearly
- When your book covers data or research, maintain a “Book Updates & Errata” page that documents what’s changed since publication
For authors specifically: If your book references data, technology, or statistics that have changed, a “What’s New Since [Book Title] Was Published” blog post is pure LLM SEO gold. It demonstrates ongoing expertise, keeps your content fresh, and gives LLMs a reason to cite you on current-state queries.
7. Multi-Modal Optimization: Images, Video & the AI Vision Layer
The direct answer: LLMs increasingly process images and video transcripts. Optimizing your visual content for AI extraction is a 2026 edge that most authors completely ignore.
As LLMs become multi-modal (Google Gemini, GPT-4o, Claude 3.5), the text around your images and the transcripts of your videos become extractable content. This is a significant untapped channel for authors.
Image optimization for LLM SEO:
- Write descriptive, context-rich alt text — not “book cover” but “The Resilient Leader book cover by Sarah Johnson, featuring a blue mountain silhouette symbolizing the 7-step resilience framework for executives.”
- Add image captions that include your name, book title, and key concept. Captions are parsed by LLMs as high-confidence contextual signals.
- Name your image files descriptively:
sarah-johnson-resilient-leader-framework-diagram.jpgnotIMG_4521.jpg - Include infographics that visually represent your core frameworks — these get pulled into image search results and AI visual responses.
Video transcript optimization:
- Every YouTube video you publish should have a full transcript published on your website as a blog post or resource page.
- Structure transcripts with timestamps and H2/H3 headers matching the video’s key sections.
- A video transcript is essentially free long-form, SEO-rich, LLM-extractable content that requires almost no additional writing effort.
8. Book-Specific Optimization: Amazon, Goodreads & Landing Pages
The direct answer: Your book exists in multiple ecosystems — each needs LLM-optimized content. Amazon and Goodreads are LLM data sources. Your book landing page is your most important owned asset.
This is the section most “LLM SEO” guides skip entirely. But for authors, book-specific platforms are where LLMs go to gather structured data about your work.
Amazon Author Central:
- Write your author bio in third person, 200+ words, keyword-rich, with full credentials.
- Update your “Editorial Description” for each book — this is scraped by LLMs. Use the FAQ-style structure: lead with what the book does, who it’s for, and what makes it different.
- Add all your books to your Author Central profile, even older ones.
- Enable the blog feed if you have an active RSS feed.
Goodreads:
- Claim your author profile immediately if you haven’t.
- The “About This Author” section is indexed by LLMs — use your same third-person entity bio.
- Respond to reader questions in the Q&A section — these are unstructured data gold mines for AI systems.
Your Book Landing Page (your #1 priority):
- Implement full Book schema (see Tactic #2 above)
- Include a “What’s Inside” section with chapter summaries — these are citation-worthy content chunks
- Add an FAQ section answering every question a potential reader would ask
- Embed video (author intro, book trailer) with full transcript
- Include social proof with specificity: “Used by 2,400+ executives in 34 countries” is more LLM-citable than “loved by thousands”
- Add a “Who This Book Is For” section with clear, specific audience language — LLMs use this to match your book to relevant queries
9. Technical Signals: Open Your Site to AI Crawlers
The direct answer: If your website blocks AI crawlers, you don’t exist to LLMs. Most authors have no idea their site is invisible to the AI index.
This is a technical hygiene issue, but it’s mission-critical. Many WordPress sites and website builders have started blocking AI crawlers either by default or through security plugins.
LLM Crawler Audit Checklist (Critical for AI Visibility):
- Check your robots.txt and remove any blocks like:
- User-agent: GPTBot → Disallow: /
- User-agent: ClaudeBot → Disallow: /
- User-agent: PerplexityBot → Disallow: /
- User-agent: Google-Extended → Disallow: /
- Use semantic HTML — , , , , – — not div soup. LLMs parse semantic structure.
- Ensure page speed — Core Web Vitals are a proxy quality signal. Pages loading >3 seconds get crawled less frequently.
- Implement HTTPS sitewide — unencrypted pages are deprioritized.
- Submit an XML sitemap to Google Search Console and Bing Webmaster Tools.
- Ensure your most important pages are not gated behind logins or paywalls.
- Use clean, descriptive URLs — /books/the-resilient-leader/ not /p=4721
Pro Tip:
If your site is not accessible to AI crawlers, it will not appear in ChatGPT, Perplexity, or Gemini results — regardless of how good your content is.
This is the foundation of LLM SEO.
10. Authority Building: Get Into the Sources LLMs Already Trust
The direct answer: LLMs don’t discover new authorities randomly — they amplify existing ones. The fastest path to LLM citation is getting mentioned and linked on sites the LLMs already cite heavily.
This is the compound growth play. It takes longer than the technical tactics, but it’s the one that creates defensible, long-term authority that competitors can’t easily replicate.
The high-impact moves:
Syndication to LLM-trusted platforms:
- Medium, Substack, LinkedIn Articles — these platforms have high LLM training data representation
- Forbes, Entrepreneur, Inc., Fast Company (for established authors/founders)
- Industry associations, academic institutions (even contributing to their blogs counts)
Unlinked mention strategy:
- Use tools like Ahrefs, Semrush, or Mention.com to find where your book or name is mentioned without a link
- Reach out to request attribution — even an unlinked mention with your name and book title is an entity signal for LLMs
Podcast circuit (with transcripts):
- Every podcast you appear on should publish a transcript
- Reach out post-episode to ask if they’ll publish the transcript — offer to provide it yourself
- Podcast transcripts on established sites are frequently cited by LLMs
Wikipedia and linked data:
- If you or your book qualify for a Wikipedia article, pursue it aggressively (requires third-party notable coverage)
- Wikidata entries are faster to create and are directly used by Google Knowledge Graph and several LLM training pipelines
Academic citation (for non-fiction authors):
- If your book makes research-backed arguments, email academics in your field with a copy
- Academic citations are extremely high-weight signals in LLM training data
Real 2026 Case Studies: What LLM SEO Actually Looks Like in Practice
Case Study 1: The Business Author Who Went From Zero Citations to Top 3 Recommendations
The situation: A B2B sales author had published a well-reviewed book, had a functional website, and was active on LinkedIn. When we tested her visibility across ChatGPT, Perplexity, and Claude, she appeared in 0 out of 12 relevant test queries.
What we implemented:
- Full Author and Book schema across her site
- Rebuilt her About page as a semantic entity profile
- Deployed
llms.txt - Published a 10-page topical cluster around her book’s core framework
- Removed GPTBot and ClaudeBot blocks from her
robots.txt - Syndicated her best content to Medium and LinkedIn Articles
Results at 90 days:
- Appeared in 8 out of 12 test queries across major LLMs
- Named by Perplexity as a “top recommended author” in her category on relevant queries
- 340% increase in organic search traffic (the LLM SEO fixes also turbocharged traditional SEO)
- 3 new inbound consulting inquiries directly attributed to Perplexity citations
Case Study 2: The SaaS Founder Who Became the Go-To Source on His Topic
The situation: A founder had built significant expertise in AI-powered sales automation but had no book — just a website, some blog posts, and a LinkedIn following of 12,000.
What we implemented:
- Structured data (Article, Person, FAQ schema) across all 40+ blog posts
- Answer-first content rewrite for the top 15 posts (opening paragraphs rewritten to lead with direct answers)
- A comprehensive “hub” page summarizing his entire methodology, linked to from all cluster posts
- Quarterly content updates to maintain freshness signals
- A strategic guest posting campaign on three LLM-trusted publications
Results at 6 months:
- His methodology is now cited by name in ChatGPT responses to queries about AI sales automation
- Website traffic up 580% year-over-year
- The LLM visibility translated directly to 2 enterprise deals where the prospect said they “found him through an AI search”
Case Study 3: The Author Who Used AI Visibility to Sell Out a Mastermind
The situation: A personal development author wanted to fill a $10,000 group coaching program. Her marketing had been primarily email list-based.
What we implemented:
- Book landing page rebuilt with full schema, FAQ section, and social proof with specifics
- A lead magnet funnel tied to her book’s core framework, optimized for LLM discovery queries
- Entity profile built across 12 platforms with consistent bio and credentials
- Video interview series with transcripts published on her site (6 episodes, 4,000+ words of transcript content)
Results:
- LLM queries for her book’s topic category began surfacing her site and name within 60 days
- Mastermind sold out (12 seats at $10,000) within 6 weeks of launch — 4 participants cited “found you through AI search” as their discovery source
- Email list grew 180% through LLM-driven organic traffic to her lead magnet landing page
The Quick-Win LLM SEO Audit Checklist for Authors & Founders
Use this as your immediate action list. Check off what you have; prioritize what you don’t.
Technical Foundation
- AI crawlers are not blocked in
robots.txt(GPTBot, ClaudeBot, PerplexityBot, Google-Extended) - Site loads in under 2.5 seconds (test at PageSpeed Insights)
- HTTPS active sitewide
- XML sitemap submitted to Google Search Console
- Semantic HTML used throughout (
article,main,section,h1–h6) - Clean, descriptive URL structure
Schema & Structured Data
- Author/Person schema on About page
- Book schema on every book’s landing page
- Article schema on every blog post
- FAQ schema on key pages with Q&A content
- Validated at Google Rich Results Test
Content Architecture
llms.txtfile deployed at root domain- Consistent author bio (third-person, 150+ words) across all platforms
- Wikipedia-style About page with verifiable credentials
- Hub-and-spoke content cluster around each book/core topic
- Every major page section leads with a direct answer
- TL;DR / Key Takeaways section on long-form posts
- FAQ section on book landing pages and key service pages
Entity & Authority Signals
- Amazon Author Central claimed and optimized
- Goodreads author profile claimed and optimized
- LinkedIn profile consistent with website bio
- Wikidata entry created or claimed
- Google Knowledge Panel claimed (via Search Console entity dashboard)
- Content published on at least 2 LLM-trusted external platforms
Ongoing Signals
dateModifiedschema updated when content is revised- Top 10 pages audited for freshness every quarter
- New content published at minimum monthly
- Video content published with full transcripts on website
- Podcast appearances followed up with transcript syndication
Free Tools to Measure Your LLM Visibility
| Tool | What It Does | Free Tier? |
|---|---|---|
| Profound | Tracks your brand mentions across LLM responses (ChatGPT, Perplexity, Gemini) | Yes (limited) |
| Otterly.ai | Monitors AI search visibility and brand presence in LLM answers | Yes (trial) |
| Peec AI | AI brand monitoring — tracks when and how LLMs cite your content | Yes (basic) |
| BrandMentions | Unlinked mention tracking across web + AI platforms | Paid (affordable) |
| Google Rich Results Test | Validates your schema markup | Free |
| Schema.org Validator | Cross-platform schema validation | Free |
| Google Search Console | Monitors crawl coverage, indexing, and entity recognition | Free |
| Ahrefs / Semrush | Backlink analysis, topical authority scoring | Paid |
Quick diagnostic: Go to ChatGPT, Perplexity, and Claude right now. Ask: “Who are the top authors on [your specific topic]?” and “What books should I read about [your niche]?” If you don’t appear, the checklist above tells you exactly why and exactly what to fix.
How Be My Tech Turns LLM SEO Into Your Growth System
We built this playbook because we implement it — for authors, founders, coaches, consultants, and service business owners who are tired of being invisible while their competitors get recommended by AI.
Here’s what most authors do: they read a guide like this, feel motivated, start on the schema, get stuck on the technical bits, lose steam on the content cluster, and end up with a half-finished LLM SEO strategy that produces half-results.
Here’s what Be My Tech does: we build the whole system, once, properly, so it runs without you managing it.
The Be My Tech Author Growth System includes:
AI-Ready Website Build — We don’t just design websites. We build structured, schema-rich, LLM-optimized digital homes for your brand. Every page is built with entity authority, semantic HTML, and AI crawler accessibility from day one. Your website becomes an authority asset, not a brochure.
Content Architecture & Cluster Build — We map your topical universe, identify the hub-and-spoke structure that gives LLMs reason to cite you across your entire niche, and produce the content that fills each spoke with authority. This is long-form, answer-first, structured for extraction.
Author Funnel System — LLM visibility means nothing without a conversion path. We build the full funnel: book landing page → lead magnet → email sequence → high-ticket offer. AI sends the traffic; your system converts it to revenue.
AI Automation Layer — We connect your CRM, email platform, and lead capture systems into automated workflows so every lead that comes in — from LLM discovery, organic search, or social — gets followed up with the right message at the right time. You focus on writing and speaking; the system handles the rest.
This is exactly what our tagline means: Growth by design, not chance.
You can see the services in full at bemytech.com.
The Biggest Lever Is the One Most Authors Are Pulling Wrong
Here’s the honest summary: most authors are optimizing for an audience that isn’t deciding anymore.
The readers, clients, and speaking clients you want in 2026 are starting their discovery process with an AI query. They’re asking ChatGPT for book recommendations. They’re asking Perplexity to find the top experts in your field. They’re asking Claude to help them find a coach.
If you’re not in those answers, you don’t lose the click — you lose the consideration entirely. You never even enter the conversation.
The good news: the gap between authors who are LLM-visible and authors who aren’t is still enormous. The strategies in this playbook — schema, llms.txt, entity authority, topical clusters, AI crawler access — are being executed by a tiny fraction of authors in any given niche. The window to get ahead is open right now, in early 2026. It won’t stay open.
You spent months (maybe years) writing your book. Your expertise is real. Your results are real. Don’t let AI ignore it because your website can’t speak the language.
The next step is simple:
Download Your Free LLM SEO Audit Checklist for Authors — the full interactive version of the checklist above, with instructions and tool links for each item.
Book Your Free Growth Strategy Call — 30 minutes with the Be My Tech team. We’ll run a live LLM visibility audit on your author brand, show you exactly where you’re invisible and why, and give you a clear roadmap to fix it. No pitch, no pressure — just strategy.
Your book deserves to be found. Let’s build the system that makes sure it is.
Be My Tech is a US-registered digital studio (Wyoming LLC) helping authors, founders, and service business owners build high-converting websites, AI-powered funnels, and growth systems that generate leads while they sleep. Projects start at $750. Contact us at hello@bemytech.com or visit bemytech.com.
Related reading: Author Branding in 2026: The Complete Guide | How Much Does a Website Cost in 2026?


