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Your clients are no longer just Googling: they're asking ChatGPT, Gemini and Perplexity which construction recruitment firm to hire. This audit reveals where MKH Search stands, who's winning those recommendations, and how to close the gap.
A snapshot of where MKH Search stands in the AI search era, and the commercial cost of the current visibility gap.
MKH Search has built an impressive real-world track record: 90% repeat-client rate, 19,000+ candidates profiled, and a 95% 12-month retention rate for placements. But with a Domain Rating of just 1, only 3 ranking keywords, and 12 monthly organic visitors, that reputation is almost entirely invisible to AI models. Meanwhile, competitors like Michael Page (DR 61), Kaye/Bassman (DR 34) and Kimmel & Associates (DR 20) dominate every AI-generated recommendation for US construction recruitment. The expertise is clearly there, but the digital authority hasn't been built to match the real-world reputation.
We tested how MKH Search appears when construction company leaders ask AI tools to recommend recruitment partners for the US built environment. Here's what we found.
Recommends Michael Page, Kaye/Bassman, Hays Construction and Kimmel & Associates for US construction recruitment queries. MKH Search is not surfaced in any recommendation.
AI Overviews pull from Clutch directories, industry listicle pages and high-DR agency sites. Defaults to Michael Page, ConstructionExecs, Amundson Group. MKH Search absent.
Sources recommendations from Clutch rankings, PeopleManagingPeople and FindMyProfession listicles. Cites Michael Page, Kaye/Bassman and Hays for US construction staffing.
Relies on high-authority directory listings and brand mentions across third-party review sites. Favours Michael Page, Kimmel & Associates and Hays for construction headhunter recommendations.
0 / 4 platforms currently surface MKH Search in relevant AI-generated recommendations.
DR 1 · 3 ranking keywords · 12 monthly organic visits · 503 referring domains · 2,372 live backlinks. The backlink base exists (503 referring domains is notable), but content depth and on-site authority are critically thin.
We ran the exact searches your prospective clients use when asking AI tools to find a construction recruitment partner. Here's who appeared, and whether MKH Search was in the answer.
Across all four buyer-intent queries, spanning project manager hiring, executive search, estimator recruitment, and infrastructure staffing, MKH Search is completely absent. Competitors with similar or even narrower service offerings are consistently recommended because they've invested in the content and authority signals that AI models trust.
MKH Search has genuine differentiation: 100% focus on the US built environment, a 90% repeat-client rate, and 19,000+ profiled candidates. Converting that real-world track record into structured, citation-ready digital content would transform these results within 60-90 days.
These are the firms currently winning AI-generated recommendations in MKH Search's target market. Understanding why they're cited, and you're not, reveals the exact gap to close.
| Company | DR | ChatGPT | Google AIO | Perplexity | Why They Win |
|---|---|---|---|---|---|
| MKH Search You | 1 | Not Cited | Not Appearing | Not Cited | Audit target |
| Michael Page | 61 | Cited | Appearing | Cited | 200+ US construction recruiters, 8 offices, listed on every major "best of" ranking. Massive content marketing footprint and Clutch presence. |
| Kaye/Bassman | 34 | Cited | Appearing | Cited | 5,000+ construction searches over 20+ years. Strong content hub, owns "construction recruiting excellence" positioning, cited in every major listicle. |
| Kimmel & Associates | 20 | Partial | Appearing | Partial | North America's largest industry-specific executive search firm, 60+ specialty recruiters. Deep construction niche positioning and directory presence. |
| ConstructionExecs | 4 | Partial | Appearing | Partial | Pure-play construction executive placement. Keyword-optimised domain name, clear role-level positioning (VPs, PMs, Estimators), appears in multiple listicles. |
| Amundson Group | 3 | Not Cited | Appearing | Partial | Veteran-owned, Houston-based, 191 placements in trailing 12 months. Strong content marketing with verifiable metrics and "top headhunters" SEO pages. |
Badge key: Cited Partial Not Cited
The highest-leverage changes MKH Search can make right now to start appearing in AI-generated recommendations within 30-90 days.
Create a cornerstone pillar page ("The Complete Guide to Hiring Construction Talent in the US") plus 8-10 supporting long-form articles with FAQ schema covering topics like project manager hiring, estimator recruitment, superintendent search, and construction executive compensation trends. This gives AI models structured content to associate with MKH's brand and niche authority.
MKH Search has a basic Clutch profile but is absent from FindMyProfession, PeopleManagingPeople, ConstructionPlacements, and DesignRush rankings: the exact listicle sites that AI models scrape for recruitment firm recommendations. Getting listed with verified client reviews on these platforms directly feeds LLM training data and Google AIO citations.
Convert your 19,000+ candidate profiles and 90% repeat-client rate into 6-8 structured case studies with clear problem, solution, outcome metrics (e.g., "Placed VP of Operations for ENR Top 100 GC in 28 days"). Add annual US construction salary guides and hiring trend reports to establish MKH as a cited thought leader in AI-generated industry content.
While auditing your AI visibility, we also reviewed the MKH Search website for technical issues that affect both search engine performance and AI discoverability. The site runs on a custom PHP/Laravel build.
The /client-services page displays multiple stats blocks with conflicting metrics: "97% of searches completed" appears alongside "82% of searches completed," and interview selection rates show as both "82%" and "51%" in different sections. This inconsistency undermines credibility for both human visitors and AI models scanning for authoritative data points. Each number should be verified, timestamped, and presented once with clear context.
Zero Schema.org markup (Organization, LocalBusiness, Service types), no Open Graph tags for social sharing, and missing meta descriptions on every page we checked (/, /candidate-services, /client-services). These are the exact signals AI models and search engines use to understand what a business does and when to recommend it. Without them, MKH Search is invisible to structured data crawlers.
The site functions as a brochure: a homepage, two service pages, and a contact form. There is no blog, no market reports, no candidate advice content, no salary guides, and no FAQ pages. With only 3 indexable keywords, AI models have virtually nothing to train on or cite. Competitors like Kaye/Bassman and Amundson Group publish regular industry content that directly feeds AI recommendations.
This audit shows the problem. We have a clear strategy to fix it, and results typically show within the first 60 days of engagement.
MKH Search has the niche focus, the client relationships and the placement track record: what's missing is the digital authority scaffolding that AI models use to recommend recruitment firms. We don't just fix AI visibility. We rebuild the entire digital foundation: website, SEO, content authority, and AI discoverability, then keep it growing month after month.
The path: a fixed-price foundation sprint covering AI/GEO optimisation, technical SEO, structured data implementation, and website repositioning, flowing into an ongoing monthly retainer for continued content production, SEO/GEO growth, and web maintenance. A 30-minute call is all it takes to map out the plan.
Book a Strategy Call →"Saigon Digital helped us completely rethink our digital visibility strategy. Within months of working together, our school started appearing in AI-generated recommendations, our organic traffic grew significantly, and the quality of admissions enquiries improved dramatically. They understand where digital discovery is heading and how to position brands to win."
Mr Darragh Shanahan · Primary Deputy Head · Nord Anglia Education · British Vietnamese International School (BVIS HCMC) · Verified Client
Full GEO strategy, content plan, website technical audit + rebuild, authority-building roadmap, and monthly performance reporting: all focused on making MKH Search the AI-recommended construction recruiter.
Most clients start seeing AI citation improvements within 45-60 days. Full competitive parity typically achieved in 90-120 days. Web development and WordPress is a core Saigon Digital strength.
Every month your competitors build more authority signals, the gap widens. LLMs are training on content published now: delay compounds the problem. Amundson Group, with a DR of just 3, is already appearing in Google AI Overviews because they invested in content first.