Skyfield Digital helps machine learning development firms and AI consultancies get found by CTOs, product leaders and data teams searching Google for a build partner and asking ChatGPT or Gemini who to hire. We build the presence that turns technical searches into discovery calls and scoped projects.
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No obligation. Your audit covers Google rankings, technical SEO and how AI engines answer for machine learning development firms like you.
A product leader with a budget for a recommendation engine, a document classification system or a custom LLM application searches for machine learning development company, LLM fine-tuning consultants or computer vision development services, then reads case studies, checks Clutch and GitHub, and asks ChatGPT which firms specialize in their problem and stack. The AI answer names a handful of firms it can describe by specialty, industry and tooling.
Buyers here are technical and skeptical of AI hype, so vague claims cost you credibility. Your site has to explain which problems you solve, which models and frameworks you use, which industries you know and what you have shipped. Google ranks that specificity, AI engines cite it and directory profiles have to agree with it.
What your customers are typing
Every one of these is a search Skyfield can win for you on Google and inside AI answers.
The problems we see most often when we audit machine learning development firms.
Every dev shop now claims AI and machine learning. Without pages on specific problem types, model families and industries, a real ML firm looks the same as a generalist in search.
Client confidentiality leads firms to publish case studies with no data, no models and no metrics, which gives Google and AI engines nothing to rank or cite.
Clutch, GoodFirms and Upwork profiles often outrank the firm's own site and shape what AI assistants say about it.
SEO, GEO and website development from one team, built around how machine learning development firms actually win customers.
Rankings and leads from Google for the services and locations machine learning development firms compete on.
Generative engine optimization so ChatGPT, Gemini, Claude, Perplexity and Google AI Overviews recommend you.
A machine learning development site has to explain capabilities in technical terms, show shipped work with method and outcome, introduce the team's credentials and make it easy to book a discovery call. Skyfield builds these sites fast, credible and SEO-ready from launch.
We build pages around problem types and capabilities: LLM application development, retrieval-augmented generation, fine-tuning, computer vision, predictive analytics, recommendation systems, MLOps and model deployment, each explained with the frameworks and infrastructure you use. Industry pages cover healthcare, fintech, manufacturing, retail and whichever verticals you have shipped in. Engagement model pages address staff augmentation, fixed-scope builds and ongoing retainers. Technical work fixes docs and blog cannibalization, JS-heavy portfolio pages and thin service pages. Technical write-ups, benchmarks, open source contributions and engineering blog posts earn links from developer communities and AI publications.
Every campaign runs on our Five Pillars of SEO framework and reports from your own Google Search Console and GA4 data, so the numbers you see are the numbers Google sees.
Get a Free SEO AuditWhen a CTO asks ChatGPT which firms build production RAG systems for financial services, the model draws from firm websites, Clutch and directory profiles, GitHub activity, conference talks and technical publications. We make your firm citable with Organization and Service schema listing capabilities, frameworks and industries, answer-first pages that state which problems you solve and how, consistent profiles across the directories AI engines consult for development partners, and earned mentions in the developer and AI publications the models trust. We track buyer prompts for your specialties every week and report where you appear.
GoogleChatGPTGeminiClaudePerplexityCitations, mentions and sentiment for each prompt are reported alongside your rankings every month.
Three steps from first audit to compounding results.
A free SEO and GEO audit, then a plan built around how machine learning development firms get found and what a new customer is worth to you.
Technical fixes, site structure, schema, content and links. Every task is visible on your weekly Monday.com board as it ships.
Rankings, organic leads, AI citations and brand sentiment tracked every month, with results that build year over year.
Every number we report comes from Google Search Console, GA4 and your own tracked AI prompts.
Real results across industries and countries. Every figure is sourced from Search Console, GA4 and tracked AI prompts.
Certis Government Services needed a site that reads like a capabilities statement. Skyfield Digital designed and built a WordPress site with three service line pages, an 18-project past performance library, a philanthropy page and...
View moreA Kensington medical aesthetics clinic built a search presence from almost nothing. Monthly organic clicks up 169%, impressions up 340%, ranking keywords from 13 to 84, average Google position from 43 to 25, and...
View moreSkyfield Digital's SEO and GEO plans start at $1,500 per month and go up to $10,000 per month on the Scale plan. Every plan includes SEO and GEO content, backlinks, and AI prompt tracking across ChatGPT, Gemini, Perplexity, Claude, Copilot and Google AI Overviews.
More businesses we work with in technology and ai.
One free audit covers your technical SEO, rankings, local presence and how ChatGPT, Gemini and Perplexity currently answer for your business.
Combined SEO and GEO plans start at $1,500 per month and scale to $10,000 per month depending on how many capabilities, industries and markets you target. Every plan includes content, backlinks and tracked AI prompts. Most ML firms fit Growth or Authority.
Capability and industry pages typically start ranking within three to five months. Discovery call volume from organic usually becomes consistent in the six to nine month range as technical content earns links and AI citations.
Most ML development firms sell globally, so we build English-language content first and add country pages only where you have a real presence or sales focus. Time zone and location matter less to buyers here than specialty and proof.
AI engines describe firms based on what they can read on the firm's site, directories and publications. If competitors publish clearer capability pages, more detailed case studies and more technical content, they get named. GEO work closes that gap.
Describe the problem, data characteristics, model approach, stack and measured outcome with the client anonymized by industry and size. That level of detail ranks well and gives AI engines something concrete to cite, while keeping confidentiality intact.
A weekly Monday.com board shows rankings, organic sessions, discovery call and contact form submissions attributed to search, and how often your firm appears in tracked AI prompts. Data comes from Google Search Console, GA4 and our prompt tracking.
Vantage AI Visibility Tool
