The “That’ll Do” Line
We audited 391 UK & US recruitment agencies of 50 people or fewer against 34 marketing signals read straight from their live websites. What we found was not a spread of strong and weak marketers. It was a wall — and it stands in the same place for almost everyone.
AGENCIES
The recruitment industry does not have an advanced-marketing problem. It has a basics problem.
It is tempting to read a score of 27.9 out of 100 as a sector failing at sophisticated marketing. It is not. It is a sector that mostly stopped at “the website exists”. Only three of the 34 signals we measured clear 75% adoption: a live site (99%), a modern responsive build (81%) and an XML sitemap (76%). Everything else — including things that are free and take an afternoon — is a minority.
Nearly half of these agencies cannot answer “how many people visited my site last month”: only 54% run GA4, the most basic free analytics install there is. Only 56% have a meta description. Only half have a genuine enquiry form rather than a job-search box. A blog exists on 44% of sites, but only 22% have published anything since 2025. These are not advanced tactics. They are the floor, and much of the sector is below it.
So the “that’ll do” line is real, but it sits lower than the tools-and-tactics conversation assumes. For most agencies the next move is not automation or answer-engine optimisation. It is finishing the foundation.
Almost the whole sector settles for the same thing.
The average agency scores 27.9 / 100.
99% sit at Tier 2 or below; just 3 of 391 reach Tier 3, and none reach Tier 4.
The plateau lands in the same place for almost everyone.
A website, analytics and a contact form — then the spending stops. 54% sit exactly there.
Adoption collapses the moment marketing needs intent, not a quick install.
Visitor identification 1%, marketing automation 7%, gated content 2%.
Being citable by AI answer engines is open ground.
AEO readiness sits at 7% overall and in low single digits on the signals that matter. Only one sector reaches double figures.
The tech recruiters come last.
Engineering/Construction (32.4) and Finance/Accounting (32.3) lead; IT/Tech (22.9) trails — and even the strongest sector averages a Tier 1 score.
A wall at Tier 1.
Where 391 agencies land on the 0–100 scale. Scroll to walk the tiers.
BROCHUREWARE
FOUNDATIONS
ACTIVE MARKETER
DEMAND-GEN
GROWTH ENGINE
Analytics, a contact form, basic SEO. Functional but passive — waiting for inbound it never sees.
A wall is not a bell curve. It is a decision the whole sector made independently.
If maturity were a matter of budget or headcount, these 391 scores would spread into a long tail. They do not: 82% land inside a 40-point band and 54% inside a 20-point one. That shape is consensus, not constraint — an industry-wide agreement about where marketing stops.
And it stops early. The consensus position is the handful of things a founder can commission once and never revisit: a site, a tracking snippet if that, and a way to get in touch. Climbing past Tier 1 needs someone to own marketing as a job, and in a sub-50-person firm billing on placements, nobody has it.
The ceiling is organisational, not technical. The plateau is the exact height a recruitment business reaches when marketing is a one-off project rather than a function — which is why it lands in the same place for almost everyone.
Half can watch traffic arrive.
Almost none find out who it was.
The widest gap in the dataset
Half of all agencies can watch traffic arrive. Almost none find out who it was.
The journey rarely reaches conversion
For most agencies a contact form catches whatever demand it can, if anything does.
Each stage is matched to its nearest directly-observable website signal. Measured from rendered site code, not self-reported.
This is not a full funnel with a missing bottom. It has holes at the top too.
It is easy to read the seven stages as “presence is well-funded, conversion is ignored”. The data is harsher than that. The measurement layer itself is a coin flip: only 53% run GA4, so nearly half of these agencies cannot yet count a visit, let alone convert one.
That reorders the famous gap. Yes, 53% can watch traffic and only 1% can name the company behind it — a striking drop. But you cannot identify a visitor you are not yet counting. For most sites here the first missing stage is analytics, then a real enquiry form (50%), and only then the exotic end of the funnel.
Sequence matters, because selling visitor-identification to a site with no analytics and no lead form is selling a roof to a house with no walls. The blindness is real; for much of the sector it starts earlier than anyone admits.
What 391 agencies actually have
The foundations are widespread. Everything that turns a website into a measurable, demand-capturing channel is rare — automation, visitor identification and AEO all sit in single digits.
Analytics is the one habit that stuck.
Behind every maturity score is a stack of specific tools. Beyond measurement it thins out fast: the tools that turn anonymous traffic into named pipeline appear on just 4 sites in the whole sample of 391.
Most of these sites are not yet ready for the tools at the bottom of this stack.
The stack thins in a straight line from measurement to money: analytics 53%, tag management 23%, paid pixels 17%, automation 7%, visitor identification 1% — four sites in the whole census. It is a real gap, and the first mover in each niche takes it uncontested.
But the honest sequencing advice runs the other way. A site with no meta description, no analytics and no genuine enquiry form should not be shopping for visitor-ID or answer-engine optimisation. Those compound what is beneath them; with nothing beneath them they compound nothing.
AEO is the same story read forward. 98% leave AI crawlers unblocked and 7% give them anything worth citing — an open door into an empty room. Worth walking through, once the room has furniture.
Who builds these sites
WordPress runs over half of all sites. Just under a quarter are bespoke or can’t be fingerprinted from rendered markup; only 8% run a purpose-built recruitment platform.
Outsourced by default
38% sit behind a managed host or CDN (26% Cloudflare), yet 49% set no security headers at all and 46% have no cookie-consent layer. Where an applicant-tracking system was visible, Bullhorn and JobDiva led — for most of these firms the ATS is the only serious software layer.
8% already run a named recruitment website platform. The rest are the open market.
The plateau is universal.
Only the starting line moves.
IT/Tech — the agencies placing the very people who build this technology — sit at the bottom of the table, while the hands-on sectors of Engineering and Finance lead. Every sector average still lands inside Tier 1.
| Sector | N | Avg | Web | Blog | GA4 | Paid | Vis-ID | Lead | AEO |
|---|---|---|---|---|---|---|---|---|---|
| Engineering / Construction | 39 | 32.4 | 92% | 49% | 46% | 21% | 0% | 69% | 5% |
| Finance / Accounting | 41 | 32.3 | 95% | 54% | 76% | 22% | 2% | 46% | 2% |
| Sales / Marketing | 83 | 30.0 | 72% | 52% | 63% | 16% | 1% | 54% | 7% |
| Legal | 44 | 28.9 | 89% | 48% | 61% | 5% | 0% | 52% | 9% |
| Industrial / Logistics | 26 | 27.4 | 69% | 27% | 62% | 23% | 0% | 54% | 0% |
| Healthcare / Life Sciences | 44 | 26.2 | 80% | 36% | 43% | 20% | 0% | 45% | 9% |
| Exec / Generalist | 30 | 25.3 | 70% | 50% | 43% | 13% | 0% | 37% | 17% |
| IT / Tech | 84 | 22.9 | 80% | 36% | 37% | 17% | 2% | 43% | 5% |
Web = HTTPS + mobile responsive · Paid = any advertising/retargeting pixel · Vis-ID = any visitor-identification tool · Lead = genuine lead-capture form · AEO = flagged AEO-optimised.
The sector that sells technology talent is the least technological marketer in the sample.
IT/Tech recruiters score 22.9 — last of eight, nine points behind Engineering/Construction (32.4). They place the engineers who build attribution models and answer engines, and their own sites are the least instrumented in the study: GA4 on 37%, the lowest of any sector.
The likeliest cause is market structure, not ignorance. IT/Tech recruitment is the most crowded, most contingency-driven, most outbound-dependent niche there is. When LinkedIn and a phone reliably produce placements, the website never has to earn its keep — so it never does.
But sector only moves the starting line, never the ceiling. Every one of the eight averages lands inside Tier 1 Foundations. There is no specialism where good marketing has become table stakes — which means there is none where doing it well has stopped being a differentiator.
Five conclusions we’d act on
Interpretation, not data. These are the judgements we draw from the figures above — the places where the numbers point clearly enough that we would change something.
Benchmark honestly.
The realistic peer set for a small agency is other small agencies, not the global staffing brands. Against that peer set a Tier 1 site is normal, and there is no shame in it. The real question is whether to stay there.
Most of the gain is basic, not advanced.
Half the sector is missing free, one-time installs — analytics (54% have it), a meta description (56%), a genuine enquiry form (50%). These come before automation or AEO, and they are where the average agency’s cheapest points sit.
Above the line, the differentiators are few and consistent.
For agencies that already have the basics, the same four recur: measuring demand, capturing it actively, nurturing it, and being findable by AI. Four things done well — but only once the foundation is laid.
The most valuable missing capability is knowing who is on the site.
53% can watch traffic arrive; 1% can name the company behind it. It is the widest gap at the top of the funnel — for the sites that have finished the bottom of it.
AEO is the clearest first-mover position, in sequence.
With near-zero adoption sector-wide, the first agencies in each niche to structure content for AI answer engines face an open field — a strong second move once the basics are done, rarely the first.
How does your site compare?
Tick what your site has today. The figure beside each signal is the share of the 391 audited agencies that have it — an empty box next to a low number is an easy win few of your peers have made. Your score and tier update live on the same model the study uses.
Website & SEO25 pts
Lead-capture forms15 pts
Paid & martech25 pts
Visitor-ID / lead-gen15 pts
AEO readiness20 pts
Same 34-signal codebook and weighting as the study. This is an honest self-assessment — you tick what your own site actually has.
Every figure is reproducible.
This is first-party research. Nothing here is survey-reported or bought in. Every figure traces back to a signal read from a named agency’s live website, following a documented rule.
Sample
391 recruitment agencies, UK and US, all ≤50 employees, across eight specialisms. Firmographics from Apollo.io (NAICS 5613, Employment Services) using sector keyword tags and the 1–10 and 11–50 employee bands, capped at ~50 per specialism. Global staffing groups deliberately excluded. US 203 · UK 158 · country not returned for 30.
Detection
Each site assessed on 34 binary signals read from its rendered homepage and key inner pages (contact, blog, FAQ). Path files (robots.txt, sitemap.xml, llms.txt) validated by content, not just status code. AEO readiness covers FAQ/Article schema, author / E-E-A-T markup, llms.txt and question-structured content.
Sector verification
Each agency’s specialism was confirmed from its own website during the audit rather than trusting the firmographic tag alone. Sector counts reflect post-verification classification.
Scoring model
Each group score is (signals present ÷ signals in group) × group weight. Deterministic: re-applying the codebook to the same sites reproduces each score within rounding.
Tier bands
Limitations
Tracking tags are read at homepage load, so consent-gated tags may be undercounted; site-wide tags (analytics, pixels, visitor-ID) are representative. Builder-default path files were excluded from AEO credit. Percentages are rounded. Provider detection is category-level, not brand-attributed. 367 of 391 sites responded; 24 were unreachable at audit time.
The signals in full
All 34 signals, their weight and the exact detection signature used, so anyone can collect them the same way. This is the instrument behind every number on this page.
Cite this research
Figures may be reproduced with attribution to Redsun. Every section has a stable anchor link, and the full PDF carries the same numbering.
Redsun (2026). The State of Recruitment Marketing 2026: The “That’ll Do” Line. First-party audit of 391 UK & US recruitment agencies of ≤50 employees, June 2026.
Redsun audited 391 small UK and US recruitment agencies against 34 website marketing signals. The average scored 27.9/100. 54% stop at a website, analytics and a contact form; 1% can identify visiting companies; 7% are AI-citable. Source: Redsun, The State of Recruitment Marketing 2026.
The complete 17-page PDF carries every figure on this page plus the full codebook and self-audit scorecard.
Download PDFThe plateau is the opportunity — and for most agencies the opportunity is finishing the basics, not buying the exotic.
Read pessimistically, this is an indictment: an industry that sells the value of finding the right person has largely declined to apply the same rigour to finding the right client. Read practically, it is the most useful competitive news a small agency could get. The bar among realistic peers is 27.9 out of 100, and it has not moved.
Nothing that separates the top of this sample is exotic. The highest scorers measured demand, captured it deliberately, nurtured it and made themselves legible to AI — but those four sit on top of a foundation most of the field has not laid. For the average agency the first wins are duller and cheaper: analytics, a real enquiry form, a meta description, a blog that is actually updated.
Our own bias is worth stating plainly: we build recruitment websites, and we ran this audit because we suspected the gap was wide. It was wider. The figures stand on their own and the codebook is published so anyone can check them.
The few that cross it do a short, consistent set of things well.
Measuring demand, capturing it, nurturing it, and being findable by AI. Redsun builds all four into a recruitment website from day one — which is why we ran the audit in the first place.