The HR Tech SEO & GEO Agency
HR software is bought by HR, paid for by finance and vetoed by IT, and each seat asks a completely different question. We build the page that answers each one, then prove the pipeline in your CRM.
Demos booked from search · Indexed to baseline





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Why HR tech teams call
Nobody books this call because they want more blog posts. They book it because one of these three is happening right now, and the pipeline number shows it.
A buyer asks which platform does the thing you do and the answer is Workday, a suite module, and whoever wrote the roundup. You built the better point solution and the model has never had a reason to name you.
The HR lead loves it, then finance asks about payback and IT asks about SSO and data residency, and there is no page for either. The deal stalls where your content stops.
Someone researches in March, the budget lands in September, and the demo request logs as direct six months after the content did its job. Your CRM credits the last click, so the channel that started it looks dead.
Built for a committee buy
Same engine we run for every B2B SaaS client, with the parts HR software actually needs bolted in: a page for every seat on the committee, security answers IT will accept, and payback maths finance can defend.
HR, finance, IT and the executive sponsor each ask different questions. We map every seat, then engineer into the answers.
Moves: Share of AI answers
Outcome content for HR, payback maths for finance, and security and integration answers for IT, each on its own page.
Moves: Deals that survive the committee
The plumbing that lets crawlers and AI agents read, trust and act on a site that usually sits behind a gated demo.
Moves: Crawl, index and quote rate
Models lean on the HR press, analyst notes and review sites your committee already reads. We go earn those placements.
Moves: Trust the models inherit
Committee deals on an annual cycle plus referrer-stripping assistants means the source is long gone by the time procurement moves. We rebuild the trail.
Moves: Budget you can defend
HR tech has excellent programmatic surface: every HRIS, every payroll provider, every headcount band and every region is a real query with real volume.
Moves: Coverage without headcount
The process · The 90-Day AI Search Program
Week one maps the committee, so no seat is left without a page. Prompt maps, approved pages, citations, demos, every week, all inspectable.
Technical audit, CRM and GA4 wiring, committee map agreed with your product marketing lead, then the kill test on every prompt: after the AI answers, does the buyer still need a vendor? We only chase the ones that end in pipeline.
The kill test · Worth winning?
Hand-researched briefs plus risk and product SME input become pages written to convert a demo, with every claim sourced so review approves in days instead of rewriting for weeks.
Brief 041 · Performance management
H1 · Best performance management platforms for mid-market companies
H2 · How it compares to the module in your HCM suite
Money answers weight the source harder than any other category. Trade placements plus entity work make your presence the constant: cited in 4 of 5 runs and climbing.
Citations landed · Run 2
Demos, pipeline, and closed revenue on one report, with first touch preserved so a deal that started in month one still credits the channel in month six. Quarterly reviews re-grade the forecast.
Demos booked · Attributed to SEO and AI search
Results · From the monthly reports

Organic sessions, AI referrals, category presence and attributed demand all moved together one quarter after launch.

Nearly half the demo pipeline was filed as Direct. The Two-Witness Rule recovered it, and the page program kept feeding it.

A page set that did not exist twelve months ago now carries the growth and is the most-cited name in the category’s AI answers.
In their words
Not curated snippets from a review widget. Named people, at named companies, about work you can read above.
"Justin and his team have been phenomenal from Day 0, and the consistency in quality and the measurable results they have delivered have been a true transformation to our business. We are extremely happy and we have already recommended them to our friends."
"I have been impressed with Justin and team's knowledge, work ethic and commitment to improving SEO. I have been in the digital space for nearly 20 years across different verticals and Rock the Rankings is the only SEO agency that I have worked with that has made a meaningful impact to the associated business.
If I found myself at another company, needing help with SEO, Justin would be my first call"

"The workflow was seamless between our teams. Overall, their process was very close to ours, so it was a great fit from the get-go. Most importantly, we learned a ton from their approach."
"Justin and his team helped us strengthen our SEO strategy, enabling us to adopt a more in-depth and strategic approach, and to better anticipate and organize our content operations."
"The partnership with Rock The Rankings contributed to clear improvements in organic performance across Canada and Australia, particularly for MoonPay's high-value transactional keywords and pages."

Rock The Rankings delivered great work for us. We came in with a massive index bloat issue, and Justin & team quickly figured out what needed to be done and helped us implement his suggestions on the site.

Forecast first · Held to it
Every engagement opens with a 12-month forecast built on your funnel data, with the committee cycle modeled in, so month-one demos show as month-six revenue where they actually land.
One lever separates the three: the share of search volume your pages capture. Everything else is your actuals, held flat: visit-to-demo rate, close rate, and contract value per site or per seat. If the model can't clear a 4× return, we tell you before you spend a dollar.
12-month forecast · Optimistic · 30% capture
Reference case: forecast said 10 demos by day 90. The program booked 59.
The other side of the model
HR budgets are annual, so waiting costs twice: the demos you do not book now, and the budget cycle you miss entirely. Pick your average contract value to see the size of it.
Pipeline that goes to someone else
Close rate held at 22%, capture at the realistic 20% scenario, applied to the ACV you picked. On the call we rebuild all three on your actuals, and if the model doesn't clear a 4× return we tell you that instead of selling you.
This is not a delay. It is a transfer. Three things compound against you in the exact window you spend deciding.
The 90 days start at kickoff, not at the decision, and in HR tech a missed cycle costs a full year. A quarter of waiting does not pause the results. It pushes closed revenue most of a year down the road.
The honest comparison
$99/mo and a prompt
Stalls: volume your reviewers reject
The same playbook, every client
Stalls: the wrong half of HR
Five roles, two quarters
Works, at $300K and month 7
GEO + SEO · One team
Forecast first · Reported monthly
Fit · Before you fill anything in
We say no often, and early. Reading this saves us both a call.
Also a fit: a strong point solution that keeps losing to the module bundled inside an HCM suite.
If that’s you, we’ll say so on the first call and point you somewhere better. No sequence, no follow-up.
Straight answers
If yours isn’t here, bring it to the call. Same unpolished answer either way.
Because HR rarely holds the budget or the veto. The deals that stall almost never stall in HR, they stall when finance asks about payback or IT asks about data residency and there is nothing to send them.
One session in week one with product marketing and, ideally, a salesperson. We list every seat, what each one asks, and what kills the deal at each stage. Every brief after that is written against a named seat.
On their brand terms, no, and you should not try. On the queries that actually source deals, alternatives, integrations, headcount-specific workflows and suite-module comparisons, the suites are slow, generic and years behind.
Three leading indicators, reported monthly before revenue lands: citation rate on the buying prompts across five engines, demo requests attributed by the Two-Witness Rule, and stage-one pipeline created. Revenue gets graded against forecast at the quarterly review, on the cycle length you actually have.
Spark Hire, Comeet and several people-space teams. Ask on the call and we will name who is relevant to your segment.
Before you close the tab
Every one of these gets said on a call. Here are the answers we give, in writing, before you spend 27 minutes on it.
Objection 01
That complexity is the opportunity. Everyone else writes one page for HR and loses the deal downstream. Mapping the committee takes one session, and after that every page has a named reader and a named objection to kill.
So we start there. One week-one session builds the claims library and the review SLA, and every brief after it is written inside those lines. Compliance stops being the bottleneck and starts being the reason the content outperforms.
Objection 02
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That is what the kill test is for. We test the whole prompt set before you commit, and if the qualified volume genuinely is not there, we say so on the call.
Objection 03
On their brand terms, yes. On the queries that actually source deals, the suites are slow, generic and years behind, and their content team is not optimising for an AI answer about your specific workflow.
On the intro call we run your real buying prompts live so you see who the engines name today, before you decide anything.
Next step
Give us your domain and your pipeline goal. We map the prompts your buyers are asking, build your GEO plan against them, and forecast the pipeline the next 90 days can realistically produce.
What we walk through