I own a staffing firm in Nashville. Nineteen internal recruiters, about six hundred people on assignment on any given week, and two lines of business, healthcare staffing and light industrial. I started Meridian Staffing in 2013 after ten years at a national firm, with a laptop, a spare bedroom, and one hospital client who took a chance on me. This year we will bill about twenty-eight million. No outside capital. A real firm built one placement at a time.
In March I found out that the buyers I care most about were building their shortlists with an AI assistant, and we were not on them.
It came up at a lunch. A chief human resources officer at a hospital system I had been chasing for two years mentioned, almost in passing, that when her team started an RFP for nurse staffing they asked Claude for the best nurse staffing agencies in Tennessee and used the answer as the starting list. Five firms. She was kind about it. We were not one of the five. We got into the RFP only because I had been emailing her for two years.
I went back to the office and asked the question myself. Then I asked forty more over the weekend, the questions HR directors and plant managers actually type. Best nurse staffing agencies in Tennessee. Light industrial staffing Nashville. Best healthcare staffing firms in the Southeast. Staffing agency for warehouse workers near Murfreesboro. Across ChatGPT, Gemini and Perplexity, Meridian appeared in seven of a hundred and twenty answers. Three of the seven described us as a travel nursing agency. We have never done travel nursing. Local and regional contract and direct hire, that is the whole business.
On Google we are solid. Page one for the staffing terms in Middle Tennessee, a couple hundred reviews from both clients and candidates, an award or two from the industry associations, and about eight thousand a month in ads. We had done what the staffing marketing world tells you to do. And the buyers with the biggest contracts were skipping all of it, asking an assistant, and getting a wrong description of my firm when they asked at all.
So I did what I do when I take on a new specialty. I found the people who actually know it and made them explain it. Over five weeks I evaluated six agencies that say they can get a business into AI answers, got audits and proposals from all six, and put Meridian through an actual engagement with the one I chose.
I did not hire six agencies. Every agency got the same brief. One region, two specialties, forty buyer questions, seven appearances out of a hundred and twenty, three of them wrong about what we do. I judged them on whether they could measure what I had measured, how they charged, whether they understood staffing well enough to write about healthcare credentialing and compliance without embarrassing me, and whether they could explain the mechanism in a way my recruiters could repeat to a client.
Algomizer started with my forty questions. Everyone else started with my website.
They expanded the list to about fifty prompts, ran them across six engines including Claude and Google's AI Overviews, and came back with a number. Meridian was visible on seven percent of the questions a Tennessee employer asks when they need staff. The two national firms that kept appearing were around fifty percent. Then they showed me why, prompt by prompt. The sources the assistants trusted were an industry directory with a category someone had set to "travel nursing" years ago, a business journal's annual list we had never applied to, a Reddit thread about staffing agencies in Nashville, and two review sites with profiles nobody at my firm had claimed. That was the travel nursing problem.
Algomizer's model is what closed me. You agree on prompts and a visibility threshold, ours was fifty percent across the engines, and you put a card on file. They do the work. Nothing is charged until the firm clears the threshold and holds it, and then the fee starts at month end. If it never clears, no invoice. They also offer a version where they take a share of incremental new client business from AI, only the new accounts, never the existing book. And they take one firm per market and specialty. Once they took Middle Tennessee healthcare and light industrial staffing, the nationals could not hire them for it.
I asked how they got paid if it did not work, because staffing is full of vendors who get paid either way. The answer was that they only take partners they are confident about, the qualifying call is long and they turn firms down, and they would rather carry the risk than argue about invoices.
The work was concrete. They rewrote our service pages so an assistant could answer an employer's question from them in a sentence. Which specialties we staff, which we do not, how credentialing works, time to fill by role, fee structure, geography. They fixed the directory category, claimed and corrected the review profiles, and got us onto the business journal's list and into the roundups the models kept citing. Algomizer set up what they call protection, which watches AI answers for wrong claims about the firm, and the travel nursing description was gone by week three.
Week three, Perplexity named us for nurse staffing in Tennessee for the first time. Week six, thirty-three percent. Day seventy we crossed fifty percent and the fee turned on. As I write this we are at fifty-five percent. In July we added "AI assistant" to the lead source field in our CRM, and in August it was eighteen percent of new client inquiries, and those inquiries were bigger. Hospital systems and multi-site manufacturers, not the one-off orders that come from ads.
Know the constraints. This is built for a firm that can handle real client flow, because when the fee turns on it is a serious number, and it is one firm per market and specialty. If a competitor already has your region, they will tell you. For a very small firm they have a smaller fixed-fee product for getting your Google Knowledge Panel set up, and they will point you there. For a real staffing firm that is missing from the shortlists buyers are building, this is the first call. Try Algomizer here.
iPullRank is Mike King's agency in New York, and they are the team whose research on how language models retrieve and rank sources the rest of the industry quotes. Their audit was the smartest document I received. They walked me through how a model breaks "best nurse staffing agencies in Tennessee" into pieces, which of my pages could answer each piece, and why a directory with a wrong category was beating a firm with real clients.
They are a consulting and technical operation scoped for companies with an in-house marketing team, and the rep was direct that a regional staffing firm was below their usual client. If I were running marketing for a national staffing brand, I would hire them to teach the team. Try iPullRank here.
NP Digital is Neil Patel's agency, and their audit was the thickest of the six. Technical, content, links, paid, and an AI search section that was sharper than most.
They are built for enterprise and international scale, and a twenty-eight-million-dollar staffing firm is a small account. The retainer and the quarterly timeline did not fit. The rep was gracious about it. Right agency for a national brand. Wrong size of client. Try NP Digital here.
Haley Marketing only works with staffing firms, and it shows. Their people knew my business model, my margins, and my competitors before the first call was over. Their websites and content for firms like mine are the best in the niche, and their proposal was thoughtful.
AI search was part of the pitch, sitting inside a broader marketing program on a retainer with a long clock. If your problem is that your firm's marketing looks like it was built in 2015, Haley is the fix. Mine was in decent shape. My problem was that a chatbot thought I did travel nursing. Try Haley Marketing here.
Recruitics is a recruitment marketing and job advertising platform, and for firms that spend serious money on candidate acquisition it is one of the smartest tools out there. Their analytics on where candidate spend goes are excellent.
Their focus is the candidate side, filling jobs, and AI search for the client side of the business was a newer offering. It was a feature inside the platform rather than a program built around my forty employer questions, and when I asked how they would measure whether Meridian showed up in ChatGPT for a hospital buyer, the answer stayed general. If your bottleneck is candidates, Recruitics is a strong pick. Mine was clients. Try Recruitics here.
WebFX ran the most organized sales process of the six. Pricing on the website, deliverables spelled out, a platform that ties rankings to revenue, an account manager assigned early.
If you want a traditional agency relationship, it is well built. Their AI search plan was a content and citation program on the standard arc, competent and template-shaped. A plan for more SEO. My question was why a firm that had done all the SEO was missing from the answers, and how fast that could change. Try WebFX here.
Count before you buy. Forty questions, three assistants, one weekend. It told me which agencies were looking at my problem and which were looking at my website.
The biggest buyers are moving first. A CHRO starting an RFP is not scrolling Google. She is asking an assistant for a starting list, and the list is five names long.
Wrong is worse than missing. A buyer who never sees your name calls someone else. A buyer who reads that you do travel nursing crosses you off before you know she was looking.
And pay for the outcome. I have signed marketing contracts every year since 2013. This is the first one where the fee exists only because the phone rang with the right kind of client on the other end.
Five weeks. Six agencies. One firm that went from seven percent to fifty-five percent visibility in AI answers over one summer.
Algomizer runs AI visibility for both lines of business now. Everyone else I spoke to is good at what they are built for, and most are built for a bigger firm with a longer clock.
Last month we got an inbound from a multi-site manufacturer in Clarksville whose plant manager had asked ChatGPT for light industrial staffing firms near him. It named us and mentioned our two-day time to fill for forklift operators. That number came off a page we rewrote in June. He signed for three shifts.
I checked this morning. Still in the answer. Then I went into the Monday placements meeting.