How fal grew to 100K+ weekly visits with Keygrip
fal used Keygrip to discover 3,600+ keyword opportunities and deploy targeted developer content, growing from 30K to 100K weekly visits in 12 weeks.
April 3, 2026
The Challenge
Six months ago, searching "fal" on Google returned a gun company. fal, the leading serverless inference platform for generative AI, didn't own their own brand term.
Thousands of developers were searching for "serverless GPU inference," "fast stable diffusion API," and "AI model deployment" every month. fal wasn't in the results. Competitors with weaker products but more content were capturing that demand. For a platform supporting dozens of models across image generation, video, and speech-to-text, the gap between product capability and search visibility was enormous.
| Metric | Before | After |
|---|---|---|
| Weekly visits | 30,000 | 100,000+ |
| Weekly signups | 16,200 | 25,900 |
| Domain health (Ahrefs) | 61 | 85 |
| Brand query rank for "fal" | Gun company | #1 (9K+ clicks/mo) |
| Organic keyword velocity | 0 | +500/week |
| /learn vs blog traffic | 0 | 2.3x bigger |
The Approach
Keygrip scanned fal's total addressable search market and found 3,600+ keyword opportunities. fal had critical gaps in every category:
- + High-volume GenAI terms like "text to image" and "text to video ai" with tens of thousands of monthly searches
- + Developer and infrastructure queries where fal had zero visibility
- + Competitor comparison keywords where developers were actively evaluating alternatives
- + Tutorial and how-to searches where developers wanted implementation guidance
Competitors were ranking for terms that described exactly what fal does best.
Alongside the keyword analysis, Keygrip identified technical SEO issues holding the site back. The Ahrefs domain health score was 61. Thousands of crawl errors were preventing content from being indexed properly. These were fixed first to establish the foundation for everything that followed.
"We used Keygrip to publish hundreds of updates and saw a significant traffic boost in weeks. Months later and the results are compounding."
Daniel Rochetti, Head of Product @ fal
Using Keygrip's content engine, fal deployed targeted content across three areas:
Technical tutorials published to fal.ai/learn/, covering inference workflows, prompt engineering, and implementation guides for specific models like FLUX.1 [dev], Kling 2.1 Pro, and Whisper. Each page was optimized for both traditional search and AI search engines.
Model showcase pages at fal.ai/models/ with benchmarks, code samples, and comparison data for every supported model. These gave developers the technical detail they search for when evaluating platforms - latency numbers, pricing breakdowns, and working code they could run immediately.
Developer guides addressing the specific questions developers ask when choosing an inference provider - pricing, latency, and reliability.
The Results
Within 12 weeks, fal saw compounding growth across search channels.
Organic traffic
Weekly visits grew from 30K to over 100K, driven by new content targeting high-intent developer queries. The growth was sustained and compounding - not a spike from a single viral post, but a steady increase as hundreds of pages got indexed and started ranking.
fal was last among competitors in number of organic keywords. Now they are adding 500+ new ranking keywords per week. "fal" owns the #1 query rank with 9K+ clicks/month. Brand queries are up 30%+ across the board.
Content that outperforms
fal.ai/learn/ launched on September 23rd. Two months later it eclipsed the blog in traffic.
The reason is straightforward: intent-matched content outperforms traditional blog posts.
/learn pages capture 3x the clicks per impression. Content designed around what developers are actually searching for converts at a fundamentally different rate than general blog content. This is the core insight: it's not about publishing more, it's about publishing the right things in the right structure.
Signups
Weekly signups went from 16.2K to 25.9K, a 60% increase. The new content attracted developers actively evaluating inference solutions rather than casual browsers. Google conversions alone hit 8.5K in a single week. Higher intent traffic converts better.
Frequently asked questions
Keygrip uses the same keyword intelligence and content engine for every customer. fal.ai tripled conversions in 12 weeks using the same methodology available to all Keygrip accounts.
Your specific results depend on your market, competitive landscape, and how quickly you publish optimized content. The platform tracks visibility across search and answer engines and provides ongoing recommendations to accelerate growth.
Keygrip's keyword gap analysis identifies keywords your competitors rank for that your site does not yet cover. Each growth report includes: a complete opportunity analysis covering your total addressable market, competitive gaps, content pillar recommendations, and estimated traffic potential.
Reports also show your current visibility across search engines and answer engines, giving you a full picture of where to focus. Reports are shareable with stakeholders and update as your data evolves.
Keygrip combines your keyword targets, brand voice profile, and existing content to generate articles optimized for both search engine ranking and answer engine citation. Content is reviewed before publishing and can be pushed directly to WordPress, Webflow, Ghost, Shopify, or Contentful.
Keygrip tracks how each piece of content performs across Google Search, Google AI Overviews, ChatGPT, Claude, and Gemini, and recommends refinements to improve visibility over time.
Keygrip monitors brand visibility across Google Search, Google AI Overviews, ChatGPT (GPT-4o, GPT-4.5), Claude (Sonnet, Opus, Haiku), and Gemini (2.0 Flash, 2.5 Pro). Traditional search and answer engine channels are tracked together so you get a complete picture of where your brand appears.
For each source, Keygrip provides specific recommendations to improve how your brand is mentioned, cited, and ranked.
A brand mention is any instance where a search engine or answer engine references your company by name in response to a user query. Brand mentions matter for SEO because they signal authority and relevance to both Google and answer engines like ChatGPT, Claude, and Gemini.
Keygrip tracks brand mentions across all five sources, scores each mention for prominence, accuracy, and sentiment, and recommends actions to increase the frequency and quality of your mentions.