Life Science SEO: My Step-by-Step Process Guide

SEO isn’t dead – it’s just evolved.

Search is still one of the most valuable channels available to a life science business, and most companies are nowhere near making the most of it.

In this guide, I want to walk you through my life sciences SEO process I follow when working with my clients – in order, and why each one matters.

What is Life Science SEO?

Life science SEO is the practice of improving the search visibility of websites operating in the life science sector – that includes pharmaceutical companies, biotechs, CDMOs, medical device manufacturers, CROs, laboratory suppliers, and more.

The principles behind it are the same as SEO in any other industry. You still need a technically sound website, well-structured content, relevant keywords, and a strategy built around what your audience is actually searching for. None of that changes.

What does change is the context.

Life sciences is a highly specialised sector with its own language, its own audience behaviours, and its own nuances. The way a procurement manager at a biotech searches for a CDMO partner is very different to how a consumer searches for a product. The terminology matters – the difference between how a scientist describes a technology and how a business decision-maker searches for it can be significant. And the credibility bar is high; audiences in this sector are typically well-informed and quick to dismiss content that feels generic or inaccurate.

That’s why effective life sciences SEO requires both a solid grasp of SEO fundamentals and a genuine understanding of the industry. One without the other tends to produce results that either look good on paper but miss the audience entirely, or understand the science but fail to translate it into content that ranks.

The process I follow combines both – and the rest of this guide walks through exactly what that looks like in practice.

Check out my SEO for life sciences service.

1. Starting with a technical SEO audit

Before I look at a single piece of content, I always start with a technical audit. This is non-negotiable for me.

SEO is highly dependent on its foundations – and that foundation is the website itself. How it’s built, how it performs, and how both search engines and users interact with it. Two websites can look almost identical on the surface, but the technical elements underneath can have a dramatic impact on whether one ranks and the other doesn’t.

• Crawlability – can search engines access and move through the site without being blocked or misdirected?
• Indexing – are the right pages being indexed, and are any important pages being accidentally excluded?
• Site speed and Core Web Vitals – how quickly do pages load, and do they meet Google’s performance thresholds?
• Mobile usability – does the site work properly on mobile devices, which now account for the majority of search traffic?
• Internal linking structure – are pages connected in a logical way that helps search engines understand the site’s hierarchy?
• Canonicalisation – are there duplicate or near-duplicate pages confusing search engines about which version to rank?

This list is not comprehensive, but it gives you an idea of the things I’m looking for.

The reason I do this first is simple: technical problems can hold back even the best content. I’ve seen websites with genuinely useful, well-written pages that weren’t ranking because of indexing errors, slow load times, or internal linking problems. It’s frustrating, because those issues are entirely fixable – but only if you know they’re there.

Fix the technical issues first, and everything else you do becomes more effective.

Technical SEO tools I use

I primarily use two tools for technical audits: Screaming Frog and Sitebulb.

Both tools crawl a website in a similar way to how a search engine would, giving me an overview of how the site is connected and flagging the kinds of issues I’m looking for – broken links, indexing problems, missing metadata, redirect chains, duplicate content, and more. They’re excellent at surfacing problems quickly and pointing me towards the areas that need a closer look.

That said, neither tool gives me the complete picture on its own. What they do well is tell me where to investigate further. The real detail comes from digging in manually once I know where to look.

For that, I’ll often go directly to the source code of a page to check how it’s structured, how tags are implemented, or whether there’s anything in the markup that could be causing issues. I also use browser plugins – Detailed SEO is one I use regularly – which lets me quickly review on-page elements like title tags, meta descriptions, heading structure, and canonical tags without leaving the browser.

The crawl data combined with manual source code checks and browser-level inspection, gives me a thorough enough picture to identify the issues that matter and decide how to prioritise fixing them.

2. Investigate and resolve technical SEO issues

Once I’ve completed the audit, I make sure any significant technical issues are resolved before I start making content changes. This is a step a lot of people skip – they jump straight to rewriting pages or adding keywords, without realising the site has deeper problems underneath. It’s an easy mistake to make, but it means the content work often doesn’t deliver the results it should.

The most common issues I come across on life science websites include: pages that aren’t being indexed, duplicate content caused by URL parameters, slow page templates that weren’t built with performance in mind, thin or auto-generated pages, and poor internal linking that leaves important pages buried. These might sound technical, but they have a very direct impact on rankings.

How much work is involved?

The size and complexity of the website determines how much there is to fix and how you approach it.

For a small, straightforward site, it’s usually possible to work through the most important issues relatively quickly. But for larger life science websites – think global companies with hundreds of product pages, multiple language versions, or complex CMS setups – it’s simply not feasible to fix everything at once. And that’s fine. The goal isn’t perfection from day one.

What I focus on is identifying the fixes that are easiest to implement but have the most impact, and working through those first. At the same time, I assess what level of technical input might be needed – some issues can be resolved by a content editor or marketing manager, others will need a developer.

Knowing the difference early saves a lot of time and frustration, particularly on more complex life science sites where the website infrastructure can be significant.

Where to start

Even if you don’t have a deep understanding of technical SEO, there are some basics that are well worth getting right early:

• Redirects – make sure any 404 errors are picked up and redirected to the correct page
• Metadata – check that every important page has a unique, descriptive title tag and meta description
• Heading structure – ensure <h1>, <h2>, and <h3> tags are being used correctly and consistently across page templates
• Canonical tags – confirm pages are pointing to the right canonical version to avoid duplicate content issues
• XML sitemap – make sure it’s up to date and submitted to Google

If you’re not sure where to start, Google Search Console is an excellent first port of call. It gives you a clear overview of indexing issues, coverage errors, and pages that are being excluded from search – without needing any technical tools at all. It won’t catch everything, but it gives you enough to begin prioritising what needs attention.

3. Review existing organic performance

Once the technical side is in good shape, I look at how the site is currently performing in search.

Google Search Console is my starting point for this – and if you don’t have it set up already, that’s the first thing to sort out. It’s free, it connects directly to Google’s data, and it’s genuinely one of the most useful tools available to you. While you’re at it, set up Bing Webmaster Tools too. It’s often overlooked, but it gives you the same kind of data for Bing – and depending on your audience, that traffic can be worth having.

Understanding top-level performance

The first thing I do when I open GSC is look at the overall picture. The Performance report shows you how your site has been performing over time – total clicks, impressions, average CTR, and average position. I’ll usually set this to compare the last three months against the previous period, so I can see straight away whether things are trending in the right direction or not.

This top-level view helps me understand how Google is currently assessing the site. Is organic visibility growing or declining? Are clicks keeping pace with impressions? Are there any obvious spikes or drops that need explaining? It starts to build a picture before I get into the detail.

Digging into queries and pages

From there, I move into the query and page-level data. This is where it gets really useful.

What I’m looking for is: which queries are bringing people to the site, which pages are already getting visibility, what the average position is for those terms, and – crucially – where there are pages or queries with decent impressions but a low click-through rate. That gap between visibility and clicks is often where the quickest wins are hiding.

If a page is appearing for a search term thousands of times a month but only getting a handful of clicks, that tells me one of two things: either the ranking position isn’t strong enough yet, or the title and meta description aren’t compelling enough to earn the click. Both are fixable – and both give me clear direction on what to work on.

This data also starts to give me ideas about keywords and content. You often find that pages are ranking for terms you didn’t explicitly target, or that there are clusters of related queries pointing to a gap in your content. That feeds directly into the next steps.

4. Comparing target keywords with existing rankings

One of the recurring challenges in life science keyword research is the gap between scientific language and commercial search behaviour.

The way a researcher describes a technology and the way a procurement manager searches for it are often quite different. A CDMO might refer internally to “lyophilisation process development” – but the person searching for that service might type “freeze drying CDMO” or “lyophilisation services.” Neither is wrong; they just reflect different levels of familiarity with the subject. Effective keyword research in this sector means bridging that gap – understanding both the technical vocabulary and the broader commercial terms that drive search volume, and building a strategy that accounts for both.

After I’ve reviewed performance in GSC, I compare what the site is currently ranking for against what it should ideally rank for. These two things are often quite different – and the gap between them is usually very revealing.

This step involves mapping keywords to pages: working out which page should rank for which term, whether any pages are competing against each other for the same keyword (known as cannibalisation), and whether there are important terms that have no real page targeting them at all. For life science websites, this comparison usually throws up a few things – pages that have drifted away from their intended topic over time, key terms that have never been properly targeted, and clusters of related keywords that point towards a content gap.

Are the right keywords driving traffic?

The first question I ask is whether the keywords currently generating organic traffic are actually relevant to the business. It’s surprisingly common to find that a site is ranking well for terms that don’t align with what the company does or who they’re trying to reach. Traffic that doesn’t convert into leads, enquiries, or meaningful engagement isn’t really doing its job – regardless of how impressive the numbers look.

From there, I think about prioritisation. Which keywords are genuinely valuable to this business? Which ones should be at the top of the list, and which are secondary? Not every keyword deserves the same level of attention, and trying to chase everything at once is a fast way to make slow progress.

Is the keyword intent correct?

One of the most important things to consider is search intent – what the person searching actually wants when they type in a particular query.

In a life science context, this usually breaks down into a few categories. There are informational keywords – terms where someone is researching a topic, learning about a technology, or trying to understand a problem. These often have high search volumes but low transactional value. Then there are commercial and transactional keywords – terms where someone is actively looking for a solution, a supplier, or a product. These tend to have lower search volumes but far higher value.

A good keyword strategy includes both, but it’s important to be deliberate about the balance. Are you investing content effort in terms that will generate leads and sales, or are you chasing high-volume keywords with little commercial relevance? Ideally, you want a mixture – informational content that builds visibility and trust at the top of the funnel, and more targeted content that captures people who are closer to making a decision.

Structure and grouping your keywords

Finally, I look at how keywords are organised. Are they grouped logically, with related terms mapped to the right pages? Or is there a lack of structure – keywords scattered across the site without a clear plan behind them?

Getting this right is what separates a scattered keyword approach from a focused one. When keywords are well-organised and each page has a clear, defined topic to own, the whole site performs better. Pages build relevance, internal links reinforce that relevance, and search engines have a much clearer understanding of what the site is about.

If there are gaps – topics that aren’t covered, keyword groups with no natural home – that feeds directly into the content strategy that comes next.

5. Build a focused keyword and content strategy

At this point, I have a clear picture of the technical health of the site, the current performance, where the keyword gaps are, and what the content needs. Now I can build a proper strategy.

For most life science websites, this comes down to three things: optimising existing pages so they better match their target keywords, filling content gaps by creating new pages or expanding existing ones, and building out a topic structure so the site develops genuine authority around its core subject areas. Done well, these three things compound over time – each improvement reinforces the next.

Content is the engine

Increasing organic traffic – or improving the quality of it – is almost always dependent on content. For life science companies, that means sharing information that is genuinely useful and relevant to your audience, but presented in a way that Google can understand and interpret correctly.

That requires thinking about more than just what you write. It means structuring pages clearly, using headings that reflect how people search, writing in a way that matches the intent behind the keywords you’re targeting, and making sure the content is comprehensive enough to be the best answer to the query – not just a partial one.

A useful way to think about this: a laboratory equipment supplier and a CDMO are both life science businesses, but their audiences search very differently. The equipment supplier might target researchers comparing product specifications – people who want technical detail, comparison data, and application notes.

The CDMO is more likely targeting business decision-makers evaluating outsourcing partners – people who want credibility signals, capacity information, and regulatory track record. The content that works for one won’t work for the other. Knowing your audience’s role, not just their industry, is what makes keyword and content decisions meaningful.

The challenge in life sciences is that the subject matter is often complex. The temptation is to write in a way that’s highly technical and aimed purely at peers. But your audience is often broader than that – it includes researchers, procurement teams, marketers, and business decision-makers who may need the same information presented differently. Getting that balance right is important.

Link related content together

Internal linking is a big part of this and it’s often underestimated. Making sure that related pages link to each other helps search engines understand the structure of the site and distributes authority to the pages that matter most. It also helps readers navigate to relevant content, which improves engagement and keeps people on the site longer.

Think about it as building a web of connected topics rather than a collection of standalone pages. A pillar page covering a broad topic should link out to more detailed pages on related subtopics, and those pages should link back. That structure signals to search engines that your site has depth and authority on a given subject area.

Find the gaps and fill them systematically

Part of the strategy is identifying where content needs to be added, improved, or modified in line with target keywords and intent. Some pages will need a refresh – perhaps they were written years ago and no longer reflect how people search or what the business offers. Others might need to be consolidated if multiple pages are targeting the same topic without any of them doing it well. And there will almost certainly be gaps where new content needs to be created from scratch.

The output of this process is a clear action plan: which pages to prioritise, what changes to make, what new content to create, and how it all connects together.

This is ongoing work

I want to be honest about one thing: this is not a simple job, and it’s a job that should never really end. Search behaviour changes, competitors improve their content, new topics emerge, and Google continues to evolve how it ranks pages. A content strategy isn’t a project you finish – it’s something you maintain and build on over time.

That said, you don’t need to do everything at once. Getting started with a small, targeted content strategy – implemented correctly and systematically – almost always leads to bigger and better results. Pick the highest-priority pages and keywords, do those well, measure what happens, and build from there. Consistent, focused progress will outperform a burst of activity followed by nothing.

6. Optimise for GEO and AIO best practices

Over the last couple of years, AI Overviews and generative search experiences have become an increasingly regular part of how people find information online. The way Google surfaces answers is changing, and it’s worth thinking about how your content fits into that – even if the full impact is still developing.

GEO (Generative Engine Optimisation) and AIO (AI Overview optimisation) are essentially about making your content easy for AI systems to understand, trust, and extract. In practice, that means using clear headings that signal what each section covers, writing concise definitions and explanations, structuring content so it answers specific questions directly, and building credibility through accuracy and proper referencing.

The good news

This overlaps almost entirely with good SEO practice. Content that’s clearly structured, well-written, and genuinely helpful tends to perform well in both traditional search results and AI-generated answers. You don’t need to throw out your existing approach – you need to make sure your SEO fundamentals are solid, and then layer in a few additional considerations on top.

The life science challenge

It’s worth being realistic here. AIO works best where AI systems have access to large amounts of verified, well-established information about a topic. For complex, cutting-edge, or highly specialised life science content – novel technologies, emerging research areas, niche applications – that body of verified information often doesn’t exist yet. That means you may not see the benefits of AIO optimisation immediately in these areas.

But that’s not a reason to ignore it. It’s a reason to start building the right foundations now, so that as AI systems develop a better understanding of your subject area, your content is already positioned to benefit.

To make this concrete: if a biotech publishes a well-structured explainer on CAR-T cell therapy manufacturing – clearly written, properly cited, with defined terms and logical headings – that content is a reasonable candidate for inclusion in an AI Overview when someone searches a related query.

Contrast that with a page that covers the same subject but is dense, jargon-heavy, and structured around internal terminology rather than how people search. The underlying science may be identical, but only one of them is likely to be surfaced. The opportunity in life sciences is to become the source that AI systems reference – and that starts with content quality and structure, not with chasing algorithm updates.

What to focus on

Beyond the core SEO principles already covered in this guide, there are several additional elements worth implementing:

• Structured data and schema markup – helps search engines and AI systems understand exactly what type of content is on each page, whether that’s an article, a product, an FAQ, or an organisation profile
• Properly cited and referenced information – AI systems favour content that can be verified; cite sources, reference data, and be specific rather than vague
• Content authored by qualified individuals – Google’s emphasis on expertise, authoritativeness, and trustworthiness (E-E-A-T) is closely aligned with how AI systems assess credibility; authorship matters
• FAQs and Q&A sections – structuring content around the specific questions your audience asks makes it far easier for AI systems to extract and present your answers directly
• Clear, concise definitions – if your content introduces a term or concept, define it clearly; AI systems are more likely to pull well-defined explanations into generated answers
• Logical page structure – a well-organised page with a clear hierarchy of headings is easier for both humans and AI to navigate and understand

Start thinking about this now

The landscape is still evolving, and nobody has a perfect playbook for AIO just yet. But the businesses that will benefit most are the ones that start building good habits early – not the ones that wait until it’s fully established and then scramble to catch up.

The reassuring thing is that you’re not starting from scratch. Everything covered in this guide – technical health, content quality, keyword relevance, clear structure – contributes directly to how well your content performs in AI-driven results. GEO and AIO aren’t a separate discipline; they’re the next layer of the same foundation.

What this process looks like in practice

To pull it all together, here’s how I approach it every time:

1. Technical site audit – understand the health of the site and what’s working against you
2. Fix technical issues – remove barriers before making any content changes
3. Review organic performance – use GSC data to understand what’s already working and where the opportunities are
4. Compare keywords – map target terms to pages, find gaps and identify cannibalisation
5. Build a focused strategy – prioritise optimisations, create supporting content, and strengthen internal links
6. Optimise for GEO and AIO – structure content so it performs in both traditional search and AI-driven results

SEO isn’t a project you finish – it’s something you maintain. Rankings shift, search behaviour changes, and Google’s approach to surfacing content continues to evolve. But the businesses that treat it as a long-term investment consistently outperform those that treat it as a one-off task.

The life science sector is competitive online, and the opportunity is real. Technical health, clear structure, and content written by people who genuinely understand the subject – that’s the bar. It’s worth aiming for.

That might sound daunting, but it’s also what makes SEO such a valuable long-term investment. Done well, it can take time to see the full results – but organic search can become one of the most significant and consistent sources of traffic and commercial opportunity your website has. Unlike paid channels, the value compounds. Content that ranks well today can continue delivering traffic and leads for months or years to come.

The life science sector is competitive online, but the opportunity is real. The pages that consistently rank well aren’t doing anything magical – they’re technically sound, clearly structured, and written by people who genuinely understand their subject. That’s a bar worth aiming for.

Not sure where to start? Stuck on a specific issue? Find out more about my life science SEO services.