Signify Technology is now the name AI assistants return for specialist US engineering hiring. Twelve months of Kaizen SEO work took the site from 21 to 36 keywords in Google's top 10 and made it the answer in 47 of 48 brand prompts across ChatGPT, Gemini and Perplexity, with a 39.6% share of voice on monitored questions.
Key Takeaways
- Top 10 keywords rose from 21 to 36 in twelve months, a 71% increase, with 108 keywords inside the top 30.
- Across 149 monitored prompts on ChatGPT, Gemini and Perplexity, Signify appears in 39.6% of AI answers, rising to 46% on Perplexity.
- On brand prompts, Signify returns first 47 times out of 48, with zero negative mentions from any model.
- The programme ships a full authority cluster every month: a pillar asset, a data asset, a definitions page, five location pages and named author schema.
- Every asset passes a citation QA gate before publication, which is what earns consistent AI citations.
The Challenge
Signify Technology places specialist engineers in Rust, Scala, Go and machine learning across the US market, a set of niches where the winnable searches are narrow and high-intent. Twelve months ago the site held 21 keywords in Google's top 10, a modest footprint for a specialist competing against generalist job boards and larger brands for the same engineering hiring terms.
What does Signify Technology recruit for?
Signify places specialist software engineers across the US, covering Rust, Scala, Go and machine learning roles. These are narrow, high-value niches, so the SEO task was depth in each specialism rather than broad volume, the approach behind SEO for technology recruitment agencies.
The Approach
Kaizen rebuilt Signify's authority around the roles and salaries engineers actually search, machine learning engineer salary, Scala jobs, Golang recruitment agency, rather than generic recruitment terms. The programme ships a full authority cluster every month: a pillar asset, a data asset, a definitions page, five location pages and named author schema, with a citation QA gate applied to every asset before it goes near the site.
How did Kaizen build Signify's authority?
By shipping a monthly authority cluster mapped to real engineering search intent, each asset marked up with named author schema and passed through a citation QA gate. That combination of depth, structure and verifiable authorship is what makes the content both rank and get cited, part of a focused recruitment SEO programme.
The Results in Google
The Google footprint grew steadily across the year, with top 10 keywords rising from 21 to 36, a 71% increase, and 108 keywords now inside the top 30. The growth spans the visibility curve rather than sitting at the top alone, so the site holds authority across a band of engineering hiring terms, not just a handful of brand searches.
How much did Signify's rankings grow?
Top 10 keywords rose 71%, from 21 to 36, with 108 keywords inside the top 30. The progression was steady month on month, indicating durable authority across the specialism rather than a short-lived spike on a few terms.
Visibility in AI Search
The AI result is the standout. Across 149 monitored prompts on ChatGPT, Gemini and Perplexity, Signify appears in 39.6% of answers, rising to 46% on Perplexity, with zero negative mentions from any model. On brand prompts it returns first 47 times out of 48, so when a hiring manager asks an AI assistant to name a Rust or Scala recruiter in the US, Signify is the answer, the outcome AI visibility for recruitment agencies is built to deliver.
How visible is Signify in AI search?
Signify appears in 39.6% of monitored AI prompts across ChatGPT, Gemini and Perplexity, and returns first on 47 of 48 brand prompts. That share of voice, with zero negative mentions, makes it the recommended specialist when an AI assistant is asked to name a US Rust, Scala or Go recruiter.
Standout stat: 47 of 48 brand prompts return Signify at position 1 across ChatGPT, Gemini and Perplexity.
Frequently Asked Questions
What does Signify Technology recruit for?
Signify places specialist software engineers across the US, covering Rust, Scala, Go and machine learning roles. The SEO programme was built around the narrow, high-intent niches these engineers and their employers search, rather than broad recruitment terms.
How visible is Signify in AI search?
Signify appears in 39.6% of monitored AI prompts across ChatGPT, Gemini and Perplexity, and returns first on 47 of 48 brand prompts. Perplexity cites the firm on 46% of prompts, with zero negative mentions from any model.
How were these results measured?
Google rankings were tracked through Semrush and Google Search Console, and AI visibility across 149 monitored prompts on ChatGPT, Gemini and Perplexity. The figures are drawn from the August 2026 performance reporting, not estimates.
What did Kaizen build for Signify?
A monthly authority cluster, a pillar asset, a data asset, a definitions page, five location pages and named author schema, each passed through a citation QA gate before publication. This structure is what earned both the ranking growth and the AI citations.
About the author
Dan Jones is the founder of Kaizen SEO, a UK recruitment SEO and AEO agency. A former recruiter with more than a decade in SEO, he helps recruitment agencies win visibility in Google and AI search.
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