// Past clients
A few of the labtech brands we've worked with.
AI visibility programs for laboratory instrumentation, reagent and bioservices brands. We build the brand mentions, community signal and earned media that get you cited by ChatGPT, Perplexity, Claude, Gemini and AI Overviews — paired with the on-site structure that makes your specifications readable to a machine. Run as a scoped program against a specific gap, or as an ongoing engagement.
Free for qualified teams · 30-sec application · No credit card
A scientist choosing a plate reader, an assay kit or a sequencing service asks an assistant to compare options long before anyone fills in a demo form. The brands that get named in that comparison make the shortlist. Most labtech sites hold everything the assistant needs — throughput, wavelength range, detection limits, compatibility — and publish it as a PDF datasheet, a gated spec page or an image.
The second gap is off-site. Instrument selection is a peer-driven decision, argued out in core-facility threads, protocol repositories and method papers. Those are the surfaces assistants read when they are asked which instrument is better, and most labtech brands have no presence on any of them.
Both gaps are fixable, and neither is a content programme.
We run the queries your buyers actually use — instrument category comparisons, application and assay questions, "best supplier for" prompts — across ChatGPT and Google AI Overviews, and show you where competitors are being named instead of you. You get a scored report with the highest-impact fixes first.
Two shapes, the same work underneath. A scoped program targets a specific, named gap against a fixed price and a defined outcome. An ongoing Managed AEO/SEO engagement keeps content, mentions, technical fixes and reporting running month over month. The report tells you which one your gap actually calls for — and most teams move between the two as coverage builds.
Depending on what the report surfaces: lifting specifications out of datasheets into structured, machine-readable product pages; building presence in the core-facility and protocol communities assistants read; earning the media links and third-party mentions that carry weight on technical purchases. The mix is dialed to your gap. Whichever shape you pick, you get a line-by-line report every month of exactly what shipped.
AI Visibility new AI Overview citations
Microplate reader manufacturer. Link building, AEO and UX work put BMG inside AI answers for plate-reader and microplate-assay categories, alongside a 34% organic traffic increase.
AI Visibility increase in LLM-referred sessions
Particle analysis instrumentation invisible to AI search. We restructured content architecture around answer-intent queries and built off-site signal in 90 days, lifting traffic value 60%.
Managed AEO/SEO keywords moved into the top 10
Contract bioservices provider. A three-month SEO campaign took site health to 99% and moved 28 service-level keywords into the top ten.
CRO + Content return on ad spend
Point-of-care genetic testing instrumentation. A four-month paid campaign with purpose-built landing pages returned 1,300% ROAS.
I hit the jackpot when I hired Digital Elevator for their SEO services. They are truly Search Engine Optimization experts. My revenue doubled in two months, which easily covers the cost of the monthly service.
What was initially some service page sales copy led to evaluations into our overall sales cycle and how content and email opt-ins through white papers and our revenue calculator tool could be leveraged to generate more leads.
Digital Elevator worked with my budget, put a plan in place, and their team of SEOs, web developers, and writers is second to none. My website traffic is growing consistently and the sales and leads generated are providing us the opportunity to expand.
Every engagement opens with a free AI Visibility Report. From there the work targets whichever signals the report surfaces — on-site fixes, off-site signal building (brand mentions, community presence, links from earned media), or both. You can take that as a scoped program aimed at one named gap, or as an ongoing Managed AEO/SEO engagement that also carries content production, technical work and monthly reporting. Either way you get a line-by-line report of everything shipped.
It is the most common labtech gap we see. Assistants can read PDFs inconsistently and rarely cite them, so a datasheet is close to invisible in an answer even when it holds exactly the number the buyer asked for. We lift the specifications that matter into structured HTML product pages and keep the PDF as the download, so the data is both citable and still available in the format your customers expect.
Yes. We have worked across microplate instrumentation, particle analysis, point-of-care genetic testing, lab automation and contract bioservices. Instrument selection runs through a scientist who specifies, a core facility that validates and a procurement function that approves — three different sets of questions, asked at different times. The program targets the queries each of them runs.
It depends which shape you take. A scoped AI Visibility program runs three months to a defined outcome and then ends. Managed AEO/SEO runs on a 12-month engagement, because search and AI visibility compound and a program judged on its first quarter gets steered toward vanity metrics instead of the pages that drive pipeline — with a 30-day cancellation notice and no early-termination fee if it genuinely is not working. Exact terms are set out in your proposal before you sign.
It changes the target. Where distributor listings outrank your own product pages, the assistant frequently cites the distributor and your brand appears second-hand or not at all. Part of the work is making the manufacturer page the more citable source for your own instrument — which usually helps the distributor relationship rather than competing with it.
A generalist will template a SaaS playbook onto an instrument catalogue and optimise for demo requests. Labtech buying is specification-led and peer-validated. The program focuses on making technical data extractable and on building presence in the scientific communities assistants actually read.
Initial lift typically becomes measurable in the weeks following the first placements and on-site fixes, as new content indexes and assistants begin pulling from it. Broader query coverage and share-of-voice gains extend over the following months as signal propagates.
Yes. Most labtech clients have a small team covering product marketing, trade shows and application notes. We focus on the AI visibility layer specifically. The application notes your scientists already write are often the strongest raw material we have to work with.
See if you qualify for a free AI Visibility Report. We'll run instrument and application queries across ChatGPT and Google AI Overviews and show you the highest-impact things to fix first.
Free · Industry-specific findings · No credit card