BLS sells to a market small enough to name. That makes it winnable.
The fundamentals are working. Engagement is strong, organic growth is steady, and BLS has earned standing across the trade publications its buyers actually read. What has been missing is the ability to see the audience clearly and aim at it deliberately. The reporting infrastructure built this quarter changes that — composition, not just volume, is now measurable. This plan uses that visibility to concentrate effort where the buyers are, and to make BLS findable at the moment a formulator goes looking, whether that search happens in Google or in an AI assistant.
Three years of consistent social, content and trade-press work have produced a real asset. Understanding its shape is what makes the next phase possible.
The new reporting shows exactly where effort converts into audience composition. These are not failures of past work — nobody could steer toward a target that was not visible. They are the specific levers now available.
| Measure | Current | Opportunity |
|---|---|---|
| Formulation-relevant industries, LinkedIn followers | 44.1% | Strong base Build on it |
| LinkedIn engagement rate | 6.0% | Above benchmark Protect it |
| R&D and product development functions | 10.4% | Headroom Technical content attracts technical people |
| Brand marketing functions | 8.1% | Headroom Category-trend content |
| Site conversion rate | 1.19% | Headroom Product pages carry no conversion path |
| Followers in Salt Lake City · San Diego · Denver | 24 | Open field Densest US manufacturing clusters |
| Email list size | 4,170 | Declining Peaked at 5,134 in Jan 2025 |
| Email sends per year | ~9 | Headroom A captured audience, lightly used |
| YouTube library, average view-through | 49% | Underused 54 videos, no calls to action |
| LinkedIn custom button clicks per month | ~0 | Quick win Button needs reconnecting |
Salt Lake City, San Diego and Denver hold the densest concentration of supplement and sports nutrition manufacturers in the United States. BLS has 24 followers across all three combined. That is not a decline to reverse — it is territory that has never been worked, and a named account programme aimed at those clusters is the most direct route to the right audience in the data.
A formulator evaluating NAD+ ingredients increasingly asks an assistant before opening a browser. Whether BLS appears in that answer is now a distinct discipline — and one where BLS starts from an unusually strong position, largely because of work already being done.
GA4 now classifies an AI Assistant channel group, and BLS has recorded sessions from it. The numbers are small — nine in the last twelve months — but they are not zero, and they represent people who reached the site because an assistant pointed them there. That is a baseline, already collecting, measurable from today.
This deserves emphasis, because it reframes what the PR programme is worth.
AI systems answering a question about ingredients do not primarily surface what a company says about itself. They surface what independent, authoritative sources say. Retrieval favours corroboration — a claim appearing in Nutraceuticals World and Whole Foods Magazine and Nutrition Industry Executive carries weight that the same claim on a company's own site does not.
BLS has 319 lifetime placements across exactly those publications. Every one is a third-party source associating the BLS name with D-ribose, NAD+, GRAS status, clinical evidence and healthy aging. That body of coverage does findability work continuously, and it compounds.
For AI findability, the mention is the asset. The link is a bonus.
Retrieval systems build associations from language, not only from link graphs. When a trade publication writes about Bioenergy Ribose alongside GRAS certification and clinical ATP data, that association strengthens whether or not a hyperlink is attached. A placement without a link is still a placement that makes BLS more findable.
This is genuinely useful to know, because it means the programme does not have to make link inclusion a condition of coverage. Earned media is earned — the outlet decides what serves its readers, and pushing on links costs goodwill and, in time, placements. Get the coverage. Build the relationship. Work links and key messages in where the story naturally supports them.
| Signal | What it means in practice |
|---|---|
| Extractable format | Structured HTML with real headings and tables. PDFs are largely invisible to retrieval — every spec sheet locked in a PDF is a fact BLS cannot be cited for. |
| Question-shaped content | Pages that answer the question directly in the first sentence. Is D-Ribose GRAS? should have a page that answers it in a line. |
| Specific, checkable facts | Numbers, certifications, mechanisms, patent numbers. Assistants prefer claims they can attribute to something. |
| Consistent entity naming | Bioenergy Ribose® and RiaGev® used identically everywhere, so retrieval systems resolve them as distinct products of a distinct company. |
| Independent corroboration | Trade coverage, clinical citations, third-party listings. BLS's greatest strength here. |
| Comparison content | Assistants answer comparative questions constantly. RiaGev vs NR is being asked; BLS should have the definitive answer published. |
Ingredient marketplaces — Knowde, Ingredients Network, UL Prospector and distributor sites — carry BLS product detail and rank well on formulator queries. Formulators use them as a starting point, and AI assistants retrieve from them. Claiming and fully building out those profiles is low-effort visibility on platforms the target audience already searches.
This work serves conventional search at the same time. Structured, question-shaped, fact-dense content ranks well and gets cited. There is no trade-off to manage — the same effort improves both, which is unusual and worth taking advantage of.
18,886 sessions over the last twelve months produced 224 recorded conversions — 162 contact form submissions and 62 sample requests. A 1.19% conversion rate. The traffic is arriving; the path to action is thin.
| Landing page | Conversions | Read |
|---|---|---|
| / | 106 | Homepage carries half the load |
| /contact | 45 | People who already decided |
| /riagev | 20 | Best-performing product page |
| /riagev-ws | 6 | |
| /bioenergy-ribose | 5 | Flagship product, five conversions |
| All other pages | ~28 | Long tail |
The pattern is clear: the pages that explain the science are not the pages that capture intent. A formulator lands on a product page, reads the technical detail, and then has to navigate elsewhere to act. Every product page should carry a persistent path to a sample request and to the specification documentation.
Conversions also run 90% desktop — 189 of 210. That is consistent with a formulator researching at a workstation, and probably genuine. Worth pressure-testing the mobile product and sample flow before assuming it is purely behavioural.
Search Console has only recently been verified on the correct property, so the baseline is thin — 35 days, 529 clicks against 24,213 impressions. Adding a Domain property is the first task in the plan, because organic is already the highest-quality channel and there is currently almost no history to work from.
A formulator who is convinced needs somewhere better to land than a general contact form. The questions they arrive with are technical and consistent, which makes them easy to structure — and structuring them turns an enquiry into a qualified conversation.
A short, well-designed formulation brief is faster to build than an AI assistant, carries no regulatory exposure, and immediately produces better-qualified leads. Build it first; the assistant can layer on later.
Five of the six are single clicks. The whole form takes under a minute, and every answer is a qualifying field that routes the enquiry and arms whoever responds.
Every qualifying answer should land in Salesforce as a structured field on the lead record, with source and campaign preserved. That closes the loop currently missing from all reporting: which marketing activity produced which qualified lead, and what happened to it afterwards.
The practical effect is significant. Reporting stops at lead volume today. With the Salesforce connection it can report pipeline — which converts every metric in this plan from an activity measure into a business measure.
The strongest channel BLS has, and the one that feeds AI findability most directly. The programme runs on a modest budget; the goal this year is to ramp it up steadily rather than rebuild it.
319 lifetime placements. 41 since August 2024, reaching a combined audience of 1.8 million. Whole Foods Magazine, Nutraceutical Business Review, Nutraceuticals World, Nutrition Industry Executive and Food Ingredients First are all publishing BLS regularly. Placement volume ran at 25 in 2025 and is tracking lower this year — a budget constraint, not a relationship problem.
54 videos, 49% average view-through, and the three most-watched are all earned or third-party content — a Chicago TV news segment on D-ribose, the Bryce Wylde RiaGev interview, and an Olympic athlete testimonial. People are finding these through YouTube search, watching half of them, and then being asked to do nothing. Adding end screens, cards and pinned sample-request links to the top ten videos is a few hours of work against an audience already arriving.
Roughly 4,170 opted-in contacts — this is the tight market, already captured — receiving about nine sends a year, several of them trade show announcements.
Move to a monthly cadence with two tracks — technical and brand-marketing — matching the split the positioning documents already make. Feed the list deliberately from dossier downloads, trade show badge scans and webinar registrations.
The LinkedIn and Instagram pipelines are built and running — automated flows replacing what were previously manual monthly workbooks. This workstream extends the same visibility to the channels still invisible, and connects the reporting to revenue.
Make the technical evidence BLS already owns retrievable by both search engines and AI assistants. Detail in §02.
The positioning work is done and it is good. The technical and marketing brand statements for Bioenergy Ribose and RiaGev are specific and well differentiated. The opportunity is getting that language out of internal documents and into published content, at a materially higher volume.
Formulation brief first, AI assistant second. Detail in §04.
The concentrated strategy's logical conclusion. The market is finite and listable — so list it, cover it deliberately, and measure coverage rather than reach.
Ramp up the programme within the available budget, protect the two new openings, and give every placement a second life. Detail in §05.
A captured audience of 4,170 in exactly the right market, currently receiving nine sends a year. Detail in §06.
| Name | Discipline | Workstreams |
|---|---|---|
| Heather | Public relations | WS·06 |
| Isaac | Content marketing — blog, SEO, social, advertising | WS·03, WS·05, WS·07 |
| Robin M | Writing and regulatory | WS·03, WS·04, WS·06, WS·07 |
| Jason | AI, technology and integrations | WS·01, WS·04 |
| Tate | Engineering | WS·04 |
| Luis · Katie | Design and WordPress | WS·02, WS·04 |
| Brady | AI and SEO | WS·02, WS·01 |
| Sydney Staedt | BLS — marketing, social, operations | WS·03, WS·05, WS·07 |
Robin holding both writing and regulatory matters more than it might appear. Every comparison claim in §02, and every answer an AI assistant might give, needs a defensible regulatory position behind it. Having that judgement inside the writing function rather than as a downstream approval step is a structural advantage.
A plan only works if it becomes a routine. This is the schedule the programme runs on — designed to be sustainable rather than heroic, and to hold through the quiet months between trade shows.
Monday — content queue review. Confirm the week's three posts are written and scheduled, and that the following week is drafted.
Isaac · SydneyTuesday — post one. Technical or ingredient science.
SydneyWednesday — post two. Category, customer or team.
SydneyThursday — post three. The week's strongest asset; Thursday is the best-performing day in the data.
SydneyOngoing — media monitoring. Flag mentions, competitor coverage and pitch openings as they appear.
Heather12 LinkedIn posts, with at least one expert-led piece and no month falling below eight.
Sydney · IsaacTwo technical pages published from the content-to-keyword gap list. These are the compounding assets for §02.
Robin · BradyOne email to the full list, split by technical and brand-marketing track.
Isaac · RobinPitch cycle — outreach at the pace the budget supports, plus one contributed piece in development.
HeatherRecirculate every placement that ran — site summary, expert LinkedIn post, email mention.
Heather · SydneyReporting review — walk the Looker dashboard with BLS. Composition, conversions, findability.
JasonAudience composition review — is the R&D and marketing share of followers moving? This is the primary steering metric.
Jason · IsaacKeyword and AI visibility review — rankings, AI answer inclusion, marketplace profile performance.
BradyContent-to-keyword gap refresh — rebuild the editorial calendar from what is still missing.
Isaac · BradyNamed account list review — coverage, engagement, additions and removals.
Isaac · BLS salesPositioning refresh — do the brand statements still cover the product line?
Robin · BLSTwelve a month is roughly four times the current rate, and it is deliberate. LinkedIn organic distribution depends heavily on consistency, and the current pattern — nine posts in October 2025, two in each of several other months — gives the page nothing to build on. Three a week is the level at which a B2B page holds its distribution. The near-term step is eight; twelve is the target by month six.
Measured against the August 2026 baseline. Several metrics have no baseline yet — establishing them is the first month's work, and they are marked rather than guessed.
| Metric | Now | Target | Source |
|---|---|---|---|
| LinkedIn followers | 1,134 | 1,600 | LI_Lifetime |
| R&D + marketing share of followers | 18.5% | 28% | Follower demographics |
| Formulation-industry share of followers | 44.1% | 55% | Follower demographics |
| Followers in SLC · San Diego · Denver | 24 | 120 | Geographic demographics |
| LinkedIn posts per month | 3.3 | 12 | Shares performance |
| LinkedIn monthly impressions | 1,132 | 4,000 | Post cumulative |
| LinkedIn engagement rate | 6.0% | ≥6.0% | Post cumulative |
| Site conversion rate | 1.19% | 1.8% | GA4 |
| Conversions per month | 19 | 32 | GA4 |
| Email sends per year | ~9 | 12+ | Campaign Monitor |
| Email list size | 4,170 | 5,000 | Campaign Monitor |
| Trade placements per year | ~15 | 25 | Media |
| Named accounts on primary list | 0 | 150 | New |
| Accounts with ≥1 engaged contact | 0 | 40 | New |
| AI answer inclusion, priority queries | TBC | 40% | New — WS·01 |
| Non-brand keywords ranking top 10 | TBC | 25 | New — WS·01 |
| Qualified inquiries per month | TBC | +50% | Salesforce — WS·01 |
1,600 is deliberately modest. Composition matters more than count — an audience of 1,500 that is 28% formulators is worth considerably more than one of 2,500 that is not. Where follower growth and target-function share conflict, share wins.