Ranking on AI founder shares GEO playbook: How to get AI to recommend your SaaS and drive real conversions

Success is measured by one thing: real sign-ups and paying customers. The core strategy boils down to one rule: stop writing "What is X" and start targeting "Best X."

By Florian Darroman 播客07-28 · 15 min read⚑ Tutorial / how-to
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Tool Guide · Xiaohu Breakdown
Key Takeaways
  • Traditional SEO competes for a spot in Google's ten blue links. GEO competes for the few recommendations AI names when a user asks ChatGPT. If you're not named, you don't exist.
  • Educational content like "What is X" is dead. The only queries left worth targeting are high-intent terms like "Best X" or "A vs. B"—searches made by people ready to buy.
  • AI-driven traffic accounts for just 0.5% of total visits, yet delivers 12.1% of sign-ups—a conversion rate 23x that of organic search (misstated as 17x in the interview).
  • However, click-through rates on AI answer links are only around 1%, meaning you should multiply your chatgpt.com row in GA4 by 100 to estimate actual impression volume.
  • The full 6-step playbook: Build a clean, crawlable site → Mine high-intent queries → Write comparison posts → Target source sites AI already cites → Leverage third-party platforms → Measure only sign-ups and revenue. Complete with copy-paste prompts, outreach scripts, and real pricing.
  • Three wasted efforts: llms.txt (97% of 137k sites were never crawled by any bot), fixing technical SEO while ignoring content, and buying "product+review.com" domains to stack fake positive reviews.
⚑ Editorial Note: Guest Tanya van Gastel, founder of RankingOnAI.com, shared her company's methods and client results throughout this episode, which also included a mid-roll ad for the host's product, Distrib. Client metrics (such as Quizly's daily sign-ups growing from 30 to 98 and EditGPT driving 70% of traffic via its blog) are self-reported and unverified by third parties. Where industry data could be cross-checked, we have substituted verified public sources and noted any discrepancies with her statements.
Background

The difference between GEO and SEO

Tanya van Gastel, founder of Ranking on AI, recently sat down with Florian Darroman to dissect her Generative Engine Optimization (GEO) strategy: how to get your SaaS actively cited and recommended by AI models like ChatGPT and Claude—and how to convert those mentions into actual sign-ups and revenue.

Full interview. Reorganized below with verified industry data added.

What is Ranking on AI?

Ranking on AI is a specialized consultancy and service platform focused exclusively on Generative Engine Optimization (GEO) for SaaS companies. It was founded by Tanya van Gastel.

If traditional SEO (Ranking on Google) helps your site land on page one of Google's ten blue links, Ranking on AI does something fundamentally different: ensuring AI models prioritize and recommend your product when users ask questions in ChatGPT, Claude, Perplexity, or Google AI Overviews.

Traditional SEO · Ranking on Google
User searches:
Best CRM tools
↓
Returns 10 blue links; user clicks through to compare
Goal: Secure a spot on page one
GEO · Ranking on AI
User asks:
Recommend 3 CRMs for small teams
↓
Returns a direct answer naming just 3 products
Goal: Be one of the named products

Ten blue links offer ten chances for comparison. An AI recommendation names only a few, and users rarely look further once they get their answer. If you are not named, you do not exist.

Tanya uses "AI visibility" in the interview to describe the same concept as Generative Engine Optimization (GEO). The terms are used interchangeably below.

Tanya van Gastel
Founder, RankingOnAI.com
SaaS Only
No other verticals. Handles strategy, roadmaps, and execution as an outsourced growth team.
Clients
Suno (AI music generation), Cal.com (open-source scheduling), HappyRobot, Akiflow, and more. Most have raised $10M–$100M, alongside bootstrapped solo developers.
Background
Former founder of an AI photo SaaS ($30 one-time fee) built entirely via SEO and exited for six figures.

Two core problems it solves

The AI-era traffic crisis

Fewer users—especially software buyers—are clicking through traditional search results. Instead, they ask ChatGPT directly: "Recommend 3 CRMs for small teams" or "Is Software A better than Software B?"

These users are already at the bottom of the buying funnel. If AI leaves you out of the answer, you lose high-intent buyers without even knowing it.

Closing the loop from AI mention to acquisition

Getting mentioned by AI and sharing a screenshot produces zero revenue. Their work focuses on two fronts: decoding how LLMs extract information from the web, and restructuring SaaS content to penetrate the source sites and rankings AI relies on.

The ultimate success metric is real sign-ups and paying customers—down to tracking which specific article drove revenue. This closed loop is the central theme of the conversation.

What this one-hour interview covers

The breakdown covers seven key areas, moving from high-impact priorities to total wastes of effort. The core actionable workflows are highlighted in the middle sections.

ROI & Value
Is It Worth It? The true value of AI-referred visitors, realistic conversion multipliers, and why dashboard metrics hide your true impression volume.
Selection
Content Focus. Which content still works. Informational queries are dead; focus entirely on bottom-of-the-funnel (BOFU) buyer-intent searches.
Setup
Getting Started. How to launch with zero budget. A 5-step Week 1 blueprint complete with 3 ready-to-use prompts.
Playbook
Full Playbook. A 6-step actionable playbook consolidating outreach pricing, link exchange scripts, and third-party platform tactics.
Fact Check
Fact Check. Does "SEO equal GEO"? Examining public data on brand mentions versus page citations.
Traps
Wasted Effort. Three common traps: llms.txt, over-indexing on technical SEO without content, and buying review domains for fake feedback.
Cases
Case Studies. Real results from two clients: one tripled daily sign-ups from 30 to 98 in two months; another drives 70% of traffic via a lean, bootstrapped blog.

Let's start with the fundamental question: Is GEO actually worth your time?

ROI & Value

AI drives low traffic volume, but converts 23x better than organic search

Her core pitch for solo developers centers on compounding returns. Paid ads stop delivering the moment you stop paying. Content published today continues driving traffic next year, making it the highest-margin acquisition channel available.

Her second point is psychological: AI recommendations feel like word-of-mouth advice from a colleague. Users who rely on ChatGPT or Claude daily have built trust with the tool. When it suggests a product organically, users click—a completely different dynamic than seeing an ad.

Tanya cited Ahrefs data claiming AI traffic converts 17x better than standard Google clicks. She actually understated the figure. Ahrefs' official blog reported a 23x gap: over a 30-day period, AI search accounted for just 0.5% of site visits but generated 12.1% of sign-ups. That 0.5% driving 12.1% is where the 23x multiplier comes from.

0.5%
Share of total visits to Ahrefs driven by AI search
12.1%
Share of total sign-ups contributed by AI search
23x
Calculated conversion rate multiplier (versus 17x stated)

More important than conversion multipliers, however, is this reality: your analytics dashboard obscures how often you are recommended. A user journey from AI recommendation to recorded visit must pass through three distinct filters.

Filter 1 Filter 2 Filter 3 AI must first mention you Mentions must include a link User must actually click Pass-through rate for all 3: ~1% Multiply dashboard clicks by 100 to estimate true impressions
Diagram by Xiaohu Breakdown. The Filter 3 click-through rate (<1%) is drawn from public research. Filters 1 and 2 lack public quantitative metrics and are depicted conceptually.

Her tactical recommendation: open GA4's Source/Medium report and multiply traffic numbers from chatgpt.com and claude.ai by 100 to estimate true brand impression volume. She remains skeptical of commercial AI rank trackers; because ChatGPT tailors answers to individual users, automated tools query via synthetic accounts and yield proxy data far removed from actual performance.

Content Strategy

Educational "What is X" content is dead—focus solely on "Best X"

This was the most insight-packed section of the interview and her single most important recommendation. Consider how the same search intent plays out across two eras:

The Search Era
  1. User searches "What is an AI proofreading tool?"
  2. Google returns ten blue links.
  3. User clicks the top link.
  4. That site happens to offer an AI proofreading tool.
→ Result: Informational query converts into a sign-up.
The AI Era
  1. User asks ChatGPT "What is an AI proofreading tool?"
  2. AI explains the concept directly in line.
  3. The interaction ends there.
  4. No link provided; no link needed.
→ Result: Step 4 is eliminated; zero web traffic generated.

LLMs have absorbed virtually all informational query traffic. Publishing educational content is a dead end. What remains?

Bottom of the Funnel (BOFU) ContentQueries submitted by users who have already decided to purchase and are simply choosing between providers—unlike top-of-funnel queries like "What is SEO."

Strip away the jargon and the principle is simple: What does someone search when they are ready to buy? A prospective buyer looking for SEO software doesn't search "What is SEO"—they search terms like these:

Best SEO tools Ahrefs vs. SEMrush SEO tools buyer's guide Ahrefs alternatives What is an SEO tool

The first four represent high-intent BOFU terms worth targeting. The last is an informational query—skip it.

The Mall Analogy

Think of shopping mall visitors: window shoppers versus customers holding cash and checking price tags. BOFU strategy targets only the second group. You don't need to educate them on the category—you just need to appear at the moment they compare options.

Targeting BOFU content offers a dual benefit: these exact same high-intent queries rank on both Google and ChatGPT. Creating them once targets both search engines and AI models simultaneously.

Getting Started

A zero-budget blueprint for bootstrapped developers

When host Florian asked what a zero-budget developer should do in Week 1, Tanya outlined a 5-step, zero-cost blueprint that can be executed immediately.

1 Setup CMS Ghost 2 Mine Terms Paste Page 3 Outlines Prompts 4 Write & Index Authority 5 Tracking Revenue Step 4 requires the most content work and is the only time-intensive phase
Diagram by Xiaohu Breakdown. The 5 steps reflect her outlined sequence. While introduced as a "6-step method" at the start of the episode, her enumerated list contained 5 steps. The full 6-step playbook follows in the next section.
1Deploy a Content Management System (CMS)

Set up a headless or standard CMS to publish articles without coding. She recommends Ghost hosted on a subdomain like blog.yourdomain.com. For more mature stacks, she suggests Payload for its Model Context Protocol (MCP) support, allowing Claude to read your content repository directly.

Fact check: Tanya mentioned Ghost starts "free, then about $15/month." Ghost Cloud offers no free tier; the lowest Starter plan costs $18/month (billed annually) for up to 1,000 subscribers. The free version requires self-hosting on your own server.

2Paste Your Landing Page into Claude to Mine Queries

Skip expensive SEO keyword tools and search volume analysis. Copy your landing page copy into Claude and ask it to extract relevant search terms. It will typically output 100+ options; ask it to filter down to the 5–10 most relevant.

Prompt · Extracting BOFU Keywords
Here is the text from my landing page:

[Paste full landing page content]

Please identify bottom-of-the-funnel (BOFU) keywords that potential buyers might search, such as listicles and comparison articles. After generating the list, select the 5 to 10 most relevant keywords for my product.

While not high-level SEO, this provides an immediate starting point to establish your workflow. Do not obsess over keyword search volume initially—focus on publishing BOFU content first.

3Convert Keywords into Prompts and Content Outlines

Continue in the same chat session with a single follow-up prompt.

Prompt · Generating AI Visibility Prompts & Outlines
Convert the keywords above into AI visibility prompts and create a structured content outline for each one.
4Publish, Index, and Optimize Content

She suggests combining human writing with AI generation. Once published, connect your domain to Google Search Console to confirm indexing. Unindexed content is invisible to search engines.

Follow this baseline optimization checklist while avoiding two counterproductive practices:

Do's
  • Optimize meta titles and meta descriptions
  • Include relevant images
  • Add schema markupMachine-readable structured data embedded in web pages to inform search engines about pricing, ratings, and FAQs without parsing layout code.
  • Add FAQ sections with FAQ schema markup
  • Include author name, bio, and avatar on blog posts
Don'ts
  • Create separate Markdown files for each post
  • Build an llms.txt file (explained in the traps section)

Author metadata is essential. Both Google and LLMs evaluate content credibility using E-E-A-TExperience, Expertise, Authoritativeness, and Trustworthiness criteria used by search engines to score content reliability based on verified author credentials. signals. Clear author profiles ensure your blog presents verified human ownership.

Tanya shared a crucial detail: render authority signals as plain text rather than image logos. Major clients, key statistics, and value propositions must be readable text. While ChatGPT heavily weighs authority proof, image-based logo walls cannot be parsed by web crawlers.

5Implement Conversion Tracking Down to Paid Subscriptions

For a free setup, link your domain to Google Analytics (GA4) to track referral channels like chatgpt.com and claude.ai in the Source/Medium report. You can ask Claude to verify your tracking setup.

Her critical point: track metrics down to sign-ups and paid conversions per blog post. High traffic volume is meaningless if it yields zero paying customers. Configure both sign-up and purchase events in Google Tag Manager.

For monitoring clicks and impressions, she recommends SEOgets over Search Console's UI. SEOgets offers a free tier, with paid Core plans starting at $39/month.

Execution Playbook

The 6-step playbook for getting AI to recommend your SaaS

The previous five steps form a baseline setup for new sites. However, getting AI models to proactively name your product requires off-site execution. Consolidating her full strategy yields a 6-step end-to-end playbook, where Steps 4 and 5 drive off-page impact.

01 Build Crawlable Site Visible without JS 02 Mine Buyer Queries Focus on top 5–10 03 Write Comparison Posts Include UI screenshots 04 Target Source Sites Pitch AI-cited listicles 05 Third-Party Platforms Fast indexation 06 Closed-Loop Tracking Measure revenue Highlighted off-page steps are omitted by most site owners
Diagram by Xiaohu Breakdown. The 6 steps reflect operational sequence; Steps 4 and 5 represent critical off-page execution.
Step 01Build a Clean, Crawlable Website

Core principle: do not rely on client-side JavaScript to render primary content. Dynamically rendered AI-generated sites suffer poor crawler parsing and low indexation rates. Use established platforms like WordPress, Ghost, or Payload rather than custom CMS engines.

To inspect your site, use the AI Eyes Chrome extension to disable JavaScript. The resulting static HTML represents what AI crawlers see. A blank screen indicates parsing failure.

Technical crawlability is merely the first barrier. Engineering-minded founders often focus exclusively on technical SEO—site speed and clean markup—while neglecting content architecture.

③ Topical Authority Search engine confidence in your subject expertise ② Interlink Architecture Internal links forming connected topic clusters ① Technical Crawlability Content visibility when JavaScript is disabled Engineers often stop at Layer 1
Diagram by Xiaohu Breakdown. Layers progress upward from technical baseline to structure and authority.

The second layer is internal linking. Internal link mapping tools like Surfer SEO assist, but manual prompt-assisted mapping works well:

Prompt · Topic Clusters & Internal Link Plan
Analyze this CMS content repository, identify the main topic clusters, and provide an internal linking strategy formatted as a table.
The table must include: Source URL, Target URL, Anchor Text, and exact insertion location.

Apply the generated mapping table by updating CMS internal links manually.

Topical Authority / Topic ClustersTopical authority reflects search engine confidence in your subject expertise. Linking related pages creates a "topic cluster" that signals comprehensive coverage.

The third layer is topical authority. Publishing 500 interlinked articles on tennis establishes topical authority in sports. Publishing a single unlinked post on green tea will not rank, regardless of writing quality. Internal linking builds this baseline authority.

Even a highly optimized landing page with 500 programmatic pages will fail to rank without internal links, backlink profiles, and domain authority.

Step 02Extract 5–10 Bottom-of-Funnel Buyer Queries

Extract high-intent queries using LLM prompts on your landing page content. Focus strictly on buyer intent: "Best CRM tools for small teams" or "Ahrefs vs. SEMrush" rather than informational queries like "What is CRM."

Step 03Publish Comparison & Recommendation Posts for Each Query

Combine human editorial input with AI drafting. Index published posts via Search Console and apply E-E-A-T optimization.

A key requirement: heavily illustrate comparison listicles with media. Users skim images rather than reading blocks of text. Embed product screenshots, UI walkthrough GIFs, and short videos across multiple posts.

Step 04Penetrate the Source Sites Cited by AI Models

This process—known as digital PR or link outreach—is the most vital and under-executed phase. When ChatGPT recommends products, it samples existing web listicles and ranking roundups. Rather than waiting for discovery, identify the exact source pages AI currently cites and secure inclusion.

① Ask ChatGPT: What are the best tools in my industry? ② Scroll to answer bottom and expand "Sources" ③ Review 10–20 source listicles (mostly competitor posts) ④ Feed screenshots to Claude to format a URL list ⑤ Send outreach emails requesting inclusion SEO Webmasters Agree to link exchange No Response Most common outcome Paid Insertion Common industry practice
Diagram by Xiaohu Breakdown. Step 3 reveals competitor BOFU content directly via ChatGPT source citations.

Outreach emails can remain concise:

Outreach Email
Hi, I saw your roundup article. Would you be open to adding my tool to the list?
3%–7%
Cold outreach reply rate (unpaid)
~$150
Typical price for a paid link insertion
$1,000
Upper-tier pricing (rarely required)

If budget is unavailable, exchange placements using your own ranking listicles:

Link Exchange Pitch (Requires an existing ranking listicle)
I'll feature your product in the #2 spot on my roundup post if you feature mine in #2 on yours. That spot is going to someone anyway—we might as well cross-promote.

For affiliate reviewers who earn commissions, offer complimentary extended access (12+ months) to incentivize favorable coverage. Leverage social posts, cross-promotions, or backlinks as negotiation assets.

Host Florian Darroman provided an affiliate publisher's perspective:

If I own a ranking roundup post and someone wants a higher placement, it comes down to commission rates. If the top brand pays 30% and you offer 40%, you get the top spot. Even for organic placements, higher payout wins.

Florian Darroman

Tanya added that affiliate partners evaluate overall yield rather than commission percentage alone. Demonstrating high conversion rates (e.g., 17% on BOFU traffic) proves total revenue potential.

Step 05Leverage High-Authority Third-Party Platforms

While new domains take months to gain authority, publishing BOFU content on established third-party platforms ranks rapidly. Host Florian noted publishing listicles on Medium and LinkedIn that indexed in Google AI Overviews within 72 hours in low-competition niches.

12 Hours
Fastest recorded indexing: client listicle became a cited ChatGPT source within half a day.
72 Hours
Host's Medium and LinkedIn listicles appeared in Google AI Overviews within three days.
Several Months
Standard timeline for traditional organic domain SEO.

YouTube currently presents the largest unexploited opportunity. Converting BOFU queries into video content allows rapid indexing in Google and ChatGPT video carousels. Thumbnail design should prioritize high-contrast logos, primary keywords, and brand names.

LOGO Best Tennis SaaS TennisCo Video Thumbnail Mockup 1 Prominent Brand Logo 2 Target Primary Keyword 3 Brand / Company Name Video content can be AI-assisted; channel age does not impede ranking
Diagram by Xiaohu Breakdown. Fictional brand name shown for illustration. Tools like Nano Banana can generate thumbnails.

Both Google and ChatGPT feature video embeds prominently in search interfaces. Because few SaaS founders produce YouTube videos targeting BOFU queries, this channel remains uncrowded.

Furthermore, video completion rates are secondary; users frequently click description links immediately upon viewing.

High-Authority Third-Party Platforms

Platform rankings evolve every 6 months. Key current platforms include:

YouTube
Largest current volume opportunity with low competition.
LinkedIn
Top choice for B2B. Use "Create an article" (not posts) to enable meta titles, long-form copy, and embedded media.
Medium
High domain authority for listicles; relies on media-heavy formatting.
G2 and Capterra
SaaS review platforms. Verified user reviews are routinely scraped by ChatGPT.
Reddit
Effective for niche, long-tail technical queries.
Wikipedia
High authority, but strict editorial guidelines suit mature companies.

Capterra allows free basic listings, review replies, and badges; pay-per-click traffic requires a minimum $500/month spend ($2+/click). G2 offers a free basic tier, while Brand Starter plans cost $2,999 for Year 1 ($5,999/year thereafter). Note: G2 acquired Capterra's parent operations, consolidating both platforms.

Regarding long-tail keywords: "Best tennis SaaS" represents a short-tail term, whereas "Best tennis SaaS for players with tennis elbow" forms a specific long-tail buyer query.

AI Visibility Does Not Require High Domain Rating

Domain Rating (DR)Ahrefs metric (0–100) scoring domain authority based on backlink profile. New sites typically reach DR 20 after ~1.5 years.

Traditional SEO rarely ranks domains below DR 20. In contrast, AI models frequently cite low-authority blogs (DR 3–5) if content directly matches prompt intent.

Low-DR blog owners respond quickly to link exchange pitches, presenting accessible outreach opportunities.

Which AI Models to Target

Google AI Overviews is essential due to measurable referral links in analytics. ChatGPT accounts for over 70% of general consumer AI referral volume:

ChatGPT
78.16%
Gemini
8.65%
Claude
2.91%
AI Chatbot Referral Traffic Share, Statcounter, April 2026.

However, B2B referral distributions differ significantly:

ChatGPT
62.6%
Claude
18.5%
Gemini
10.6%
Perplexity
7.3%
B2B AI referral share, March–April 2026 average. Claude's share in B2B is over 6x its general market share.

This data aligns with her guidance: target ChatGPT for consumer B2C products due to its massive free user base. Prioritize Claude for B2B, developer, and technical audiences. Ultimately, baseline optimization serves both engines.

Step 06Closed-Loop Tracking: Focus Solely on Conversions

AI mentions yield zero revenue until they convert into sign-ups and paying customers. Track conversion rates per landing page in Google Analytics and scale content production around proven revenue-generating topics.

Focusing strictly on traffic volume leads to wasted effort; high-traffic articles with zero conversions generate no business value.

Configure GA4 Source/Medium reports alongside Google Tag Manager event tracking to evaluate post performance via dashboards like SEOgets.

Fact Check

"SEO Equals GEO" Is Only Half True

Tanya repeatedly asserted that SEO and GEO are virtually identical, citing two main arguments. First, Google's official AI search guide (May 15, 2026) states AI Overviews are built on core search ranking systems. Second, she cited data claiming a 63% overlap between ChatGPT citations and Google page-one results.

Related Post
Official Google Generative AI SEO Guide: Optimizing Your Site for AI Search Discovery

The 63% statistic originates from a Chatoptic study showing that 62% of top-ranking Google brands are mentioned in ChatGPT. However, this study evaluated brand name mentions across a small sample (15 brands across 5 categories), not specific URL citations. The correlation between Google rank position and ChatGPT placement was just 0.034—virtually zero.

When measuring specific page URL citations, overlap drops significantly. An Ahrefs study across 15,000 long-tail queries revealed:

Google AI Overview
76%
Perplexity
28.6%
Gemini
8.6%
Copilot
8.2%
ChatGPT
8.0%
Share of links cited by AI models that rank in Google's Top 10. Ahrefs, 15,000 long-tail queries. Overall, 80% of AI-cited URLs do not rank on Google page one.

Google AI Overviews closely track traditional search rankings, whereas standalone models like ChatGPT parse citations independently. Comparing citation criteria highlights key differences:

Metric MeasuredShareSample
Google Page 1 brands mentioned in ChatGPT62%15 Brands / 5 Categories
URLs cited by ChatGPT ranking in Google Top 108.0%15,000 Long-Tail Queries
URLs cited by Google AI Overview ranking in Top 1076%15,000 Long-Tail Queries

This data explains her playbook architecture: Steps 4 and 5 focus almost entirely on off-page digital PR. While marketed as "SEO equals GEO," practical execution relies on acquiring external third-party citations rather than traditional on-site rank building alone.

Data in this section reflects independent research compiled by Xiaohu Breakdown to cross-check claims from the podcast.

Common Traps

Three Wasted Efforts in AI Optimization

Tanya explicitly warned against three common practices: two waste time, while the third carries severe platform penalties.

1. Creating an llms.txt File

An llms.txtA proposed root-directory text file designed to guide AI crawlers on site structure. Not officially supported by major LLMs. file is a proposed root-directory text file intended for LLMs. An Ahrefs audit of 137,000 websites revealed that 97% of llms.txt files were never crawled by any bot. Of the bots that did crawl them, 77% were SEO scrapers rather than AI models. Out of 62,100 AI bot requests, only 84 specifically targeted llms.txt (0.1%).

Google's John Mueller compared llms.txt to deprecated keyword meta tags. Similarly, creating separate Markdown files for blog posts provides no indexing advantage and wastes effort.

2. Fixing Technical SEO Without Content Strategy

Technical optimization alone (site speed and clean code) cannot substitute for interlinking, external backlinks, and BOFU content targeting.

Technical crawlability is merely the first barrier; structure and authority constitute the remaining layers.

3. Buying "Product+Review.com" Domains for Fake Reviews

Tactics involving exact-match review domains ("product+review.com") filled with self-generated praise carry significant risk. While short-term AI indexation may occur, search engines aggressively penalize network manipulation. Furthermore, publishing false negative reviews of competitors incurs severe legal liability.

Exact-match review domains are heavily penalized by Google's anti-spam algorithms.

Avoid fake review networks; building sustainable brand presence requires legitimate customer reviews and earned citations.

Case Studies

Client Case Studies and Final Advice

Client metrics are self-reported by interviewees and unverified by third parties, though one example can be cross-checked online.

30 → 98
Quizly (AI quiz generator) daily sign-ups tripled within two months of engagement via organic SEO pipelines.
~70%
EditGPT (AI proofreader) share of total web traffic driven directly by blog content.

Searching "best AI proofreader" displays EditGPT adjacent to Grammarly—a company that raised ~$1B and acquired Superhuman—despite EditGPT operating as a bootstrapped team.

EditGPT's blog structure directly reflects this BOFU playbook, publishing comparison roundups such as "10 Best Grammarly Alternatives."

Her key takeaway: competitor scale is secondary once your GEO content pipeline is operational.

Progression of Mastery

SEO and GEO mastery unfolds across distinct layers of execution:

Level 1
Publishing initial posts and reaching 100 organic clicks.
Level 2
Plateauing traffic prompts adoption of keyword tools like Ahrefs.
Level 3
Deep content architecture and ongoing off-page distribution.

Her concluding recommendation focuses on incremental progress:

The only way to start is to start publishing.

Tanya van Gastel
Video Interview

Full Interview · Dual-Subtitle Video

Watch the full 53-minute interview below with embedded dual English/Chinese subtitles.

Full interview with dual English/Chinese subtitles (53:17). Original video by Florian Darroman; subtitles produced by Xiaohu Breakdown.
✅ 6-Step Playbook · Actionable Checklist
Includes seven reusable assets: 3 Claude prompts (BOFU mining, outline generation, topic cluster linking), 5-step competitor listicle audit, 2 outreach scripts, and 3 YouTube thumbnail elements.
Source
How to Get AI to Recommend Your BusinessFlorian Darroman·YouTube·2026-05-25
Editorial Note
The 6-step playbook synthesizes interview points in operational sequence (Tanya listed a 5-step startup workflow, referred to as a "6-step method" in the episode introduction). All five diagrams were produced by Xiaohu Breakdown; the brand name in the YouTube thumbnail illustration is fictional. The following data points derive from verified public research rather than interview statements: conversion multiplier correction (23x), llms.txt crawl rates, AI citation overlap with Google Top 10, AI referral market share, Chatoptic study sample size/correlation coefficient, and Ghost/G2/Capterra pricing. Client metrics (Quizly daily sign-ups from 30 to 98; EditGPT 70% blog traffic share) are self-reported and unverified by third parties.
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