SaaS companies do not need SEO activity for its own sake. They need qualified buyers to find the product while they are researching a problem, comparing alternatives, checking credibility, and deciding whether the software is worth a demo. Josh Willett works with B2B SaaS companies that need senior SEO strategy, technical depth, and direct access to the person doing the work.
SaaS SEO must connect problem awareness, category education and product evaluation while handling technical debt across the marketing stack.
Problems, use cases, features, integrations and alternatives need separate, connected roles.
Clearer product discoveryRendering, experiments, CMS constraints and internal links need rules that survive rapid releases.
Less growth debtTrack qualified demos, trials, influenced opportunities and CAC contribution by search journey.
SEO tied to MRRSaaS companies do not need SEO activity for its own sake. They need qualified buyers to find the product while they are researching a problem, comparing alternatives, checking credibility, and deciding whether the software is worth a demo.
A SaaS SEO consultant should connect search visibility to pipeline, product understanding, and conversion quality. Josh Willett works with B2B SaaS companies that need senior SEO strategy, technical depth, and direct access to the person doing the work. The focus is simple: build organic search into a compounding acquisition channel that ranks in Google, converts buyers, and gives large language models enough clear evidence to understand why the product is relevant.
Josh is London and France based, works with UK and European businesses, and brings 8+ years of SEO experience across more than 50 clients. His development & engineering background means he can read a codebase, understand product constraints, and fix the technical SEO problems that often sit underneath SaaS growth.
SaaS SEO is the process of building organic visibility for software products across the whole buyer journey, from early problem research through comparison, evaluation, procurement, and renewal.
SEO for SaaS is different because the product is usually complex, the buying process is longer, and the search market is split across several intent layers. A buyer may start with a broad operational problem, move into category research, compare named tools, ask Google for alternatives, and then ask ChatGPT or another large language model to shortlist vendors.
That means a SaaS SEO strategy has to do more than rank a blog post. It has to explain the product in plain terms, build trust around the category, answer commercial comparison queries, support sales conversations, and prove relevance through consistent entity signals across the website.
Most SaaS keyword research fails when it treats every query as a blog topic. The useful keywords sit in different jobs:
- Problem keywords, where the buyer describes the pain before naming a product category.
- Category keywords, where the buyer searches for software, platforms, systems, or tools.
- Comparison keywords, where the buyer weighs one product against another.
- Alternative keywords, where the buyer is unhappy with a known provider and wants options.
- Implementation keywords, where the buyer wants to know whether the software fits their workflow.
A good SaaS SEO consultant separates these layers before recommending content. The keyword with the highest volume is not always the keyword that creates the best sales conversation.
Google, AI answers, and large language models all need clear evidence about what the product is, who it is for, what problems it solves, and how it compares with alternatives. Vague product copy makes that harder. So does a site architecture where feature pages, integrations, use cases, and comparison pages compete with each other.
Strong SaaS SEO gives each important product concept a defined place on the website. It then supports those pages with internal links, topic clusters, case proof, structured data, and content that reflects how the target audience searches.
SaaS SEO traffic only matters if it creates commercial outcomes. Rankings, impressions, and search results visibility are useful diagnostics, but the real test is whether organic search contributes qualified demos, trials, sales conversations, customer acquisition cost reduction, and revenue influenced by non-paid demand.
That is why SaaS SEO needs closer alignment with product marketing, sales, analytics, and customer research than many traditional SEO projects.
SaaS SEO requires a different approach because the search journey is not linear, the buyer is often technical, and the product usually has to be understood before it can be bought.
Many SaaS businesses already know that SEO can reduce dependence on paid acquisition. The harder question is where to start. A broad content calendar can create activity, but activity does not guarantee the right traffic, the right keywords, or the right search intent.
Josh starts with the commercial shape of the business: who buys, who influences, what objections slow deals down, which features create differentiation, and which competitors already own the search results. The SEO strategy is then built around demand capture and demand education, rather than publishing frequency alone.
SaaS sites often run on modern JavaScript frameworks, headless CMS setups, marketing automation scripts, analytics tags, product tours, and experimentation tools. These systems can affect crawlability, rendering, page speed, internal links, indexation, and structured data.
Technical SEO for SaaS websites is not a one-off crawl report. It is the process of finding the technical limits that stop content and links from doing their job. Josh can support this through a SaaS SEO audit, then work with developers to prioritise changes that improve rankings and buyer conversion.
Product-led content is different from generic informational SEO. It answers the search query, then shows where the product fits without forcing a pitch into every paragraph.
For SaaS businesses, this often means building pages around use cases, integrations, alternatives, templates, workflows, roles, industries, and product pain points. The content needs enough detail to rank, enough specificity to qualify the buyer, and enough proof to support a sales conversation.
Ranking in Google still matters. But SaaS buyers increasingly use AI answers, search snippets, Reddit threads, comparison lists, review sites, and large language models during the same decision process.
That makes GEO and LLM visibility part of the new SEO normal. The goal is not to chase every AI feature. The goal is to make the product, category, audience, proof, and differentiation clear enough that search engines and large language models can recognise the company as a relevant answer.
SaaS keyword research should map keywords to buying stages, product relevance, commercial intent, and the likelihood that the searcher can become a qualified lead.
The brief for this update shows why this matters. The page already gets impressions for commercial searches such as "saas seo consultant", "saas seo expert", "seo consultant for saas", and "saas seo consulting", but it has not turned those impressions into clicks. That is a sign that the page needs stronger alignment between the query, the content, and the SERP snippet.
A SaaS SEO strategy should start by separating keyword demand into the buyer journey, then choosing which opportunities are worth building around.
The SaaS buyer journey usually contains more than one decision-maker. A founder may search for growth strategy, a marketing director may search for channel efficiency, a product manager may search for feature workflow examples, and an operations lead may search for implementation risk.
Keyword mapping should reflect that reality:
- Awareness: problem-led searches, pain points, definitions, and operational questions.
- Consideration: software category pages, use cases, workflows, and integration searches.
- Evaluation: alternatives, comparisons, pricing, security, migration, and implementation searches.
- Conversion: demo, consultant, audit, agency, expert, and vendor shortlist searches.
For B2B SaaS SEO, the best opportunities are often not the biggest keywords. They are the terms where search intent, product fit, and buyer urgency overlap.
A keyword can have traffic potential and still be a poor target. The right question is whether the query attracts the right audience, whether the product can answer the need, and whether a ranking page can move the buyer closer to action.
Josh prioritises SaaS keywords by intent, product fit, current rankings, competitor strength, conversion value, and the internal effort needed to create a page worth ranking. This prevents the common SaaS SEO mistake of publishing high-volume content that attracts students, jobseekers, or low-intent readers instead of buyers.
Some of the fastest SaaS SEO wins come from pages that already rank but do not yet earn clicks. In this brief, "saas seo consulting" sits at position 5.1 with 124 impressions and 0 clicks. That is a clear signal to improve the page title, intro, headings, and commercial fit before creating another asset.
A consultant should find these near-page-one opportunities, work out why the page is not satisfying search intent, and make the smallest change that can produce the largest ranking or CTR improvement.
Competitor keyword research shows which companies already own the search results, which topics they have covered, and where a SaaS business can build a clearer or more commercially useful answer.
The competitor in search is not always the competitor in sales. A SaaS company may compete commercially with two or three known vendors, but in Google the search results may include review sites, affiliate lists, Reddit threads, enterprise software brands, niche consultants, and educational blogs from companies such as HubSpot, Notion, Ahrefs, or category specialists.
SaaS SEO competitor research should therefore compare three things: product competitors, search competitors, and answer competitors in AI results. Each one reveals a different kind of opportunity.
The first step is to identify which domains appear across the most important search results. That includes category terms, use-case terms, comparison terms, and content topics that influence sales conversations.
A search competitor may have a weaker product but stronger content architecture. That matters because Google can only rank what it can understand, crawl, and compare. If competitors have clearer pages for the same buyer problems, they will often win visibility before the better product gets considered.
Keyword gap analysis compares the keywords competitors rank for against the pages already present on your website. The aim is not to copy every topic. The aim is to find commercially relevant gaps that explain why competitors have more search visibility.
For SaaS businesses, the useful gaps often sit around integrations, alternatives, templates, product category definitions, industry use cases, data-led reports, and comparison pages. These gaps should be scored by buyer relevance before they reach a content calendar.
Links still influence competitive SaaS SEO, but link quality matters more than link volume. A domain rating gap can explain why a competitor ranks with thinner content, but it does not automatically mean the answer is to buy more links.
Josh looks at the type of links competitors have earned, the pages those links point to, and whether the client has a credible way to earn similar or better authority through original data, partner pages, integration ecosystems, PR, or useful assets.
The SaaS SEO strategies that work best are the ones that connect product understanding, technical performance, content depth, internal links, and authority into one coherent acquisition system.
SaaS SEO is rarely fixed by one tactic. A useful strategy usually combines product-led content, category ownership, technical SEO, comparison pages, topic clusters, and link building. The order depends on the maturity of the website and the commercial pressure on the business.
Product-led SEO uses the product as part of the answer. A workflow tool can show how a task is completed. A reporting platform can explain what data matters. A security platform can show how a specific risk is handled.
This works because SaaS buyers do not only want definitions. They want to know whether the product fits their use case, whether it is credible, and whether it solves the problem better than the alternatives.
Comparison and alternative pages are often some of the highest-intent SaaS SEO assets. The buyer already knows the category and is now working out which option to trust.
These pages need to be fair, specific, and useful. Weak comparison pages read like attack ads. Strong comparison pages explain the differences, name the right-fit scenarios, and help the buyer make a decision without hiding trade-offs.
Technical SEO is often where SaaS sites quietly lose performance. JavaScript rendering, faceted URLs, duplicate documentation, thin integration pages, slow templates, and poor internal linking can all limit rankings before content quality is tested.
Josh can work with technical teams on technical SEO for SaaS websites, from crawl diagnostics and Core Web Vitals to structured data, indexation, internal links, and page templates.
A SaaS topic cluster gives Google, buyers, and large language models a clear map of what the company knows. The cluster should connect one core commercial page with supporting content that answers related questions, objections, use cases, and comparison points.
The aim is not to publish dozens of disconnected articles. The aim is to build enough coverage around a product category that the website becomes a credible source for that topic.
SaaS link building works best when it starts with assets worth referencing. Original data, calculators, benchmark reports, integrations, partner ecosystems, templates, and useful free tools can all attract links when promoted properly.
For early-stage SaaS companies, the priority is usually to build a small number of high-quality links to the pages that matter most. For more mature SaaS businesses, link building can support category leadership, international expansion, and competitive comparison terms.
Free tools and programmatic SEO can work for SaaS companies, but they need strong quality control. A calculator, template, checker, or benchmark can attract the right traffic if it solves a real problem and sits close to the product.
Programmatic SEO is higher risk. It can create a useful library of pages when the data, templates, and search intent are strong. It can also create thin pages that waste crawl budget and weaken the website if the strategy is built around scale rather than usefulness.
AI answers and large language models make clarity, entity consistency, proof, and source quality more important for SaaS SEO, not less important.
SEO is evolving into a broader visibility discipline. SaaS buyers may still start with Google, but they now ask AI tools for shortlists, comparisons, definitions, implementation advice, and vendor recommendations.
That changes the standard for SaaS content. The website has to rank in search results, convert human buyers, and give large language models enough structured evidence to understand the company, category, audience, features, proof, and difference.
Large language models do not evaluate a SaaS company in the same way a buyer does, but both need clear evidence. They need consistent language around the product, named use cases, clear audience definitions, credible third-party references, case proof, and content that answers specific questions.
GEO work for SaaS therefore overlaps with good SEO: cleaner information architecture, stronger topic coverage, better internal links, named entities, FAQ answers, author expertise, and product pages that explain what the software does without vague claims.
A SaaS website proves relevance through repeated, specific signals. The product category should be named consistently. The target audience should be obvious. The use cases should match the buyer problems. The proof should be specific enough to verify.
For SaaS SEO, that might mean building pages for integrations, industries, alternatives, workflows, and feature clusters. It might also mean improving schema, author pages, case studies, review signals, and entity consistency across the site.
AI visibility is still less mature than Google rank tracking, so it needs careful measurement. Useful checks include whether the brand appears in AI-generated shortlists, whether the product category is understood correctly, whether competitors are cited instead, and whether source pages are strong enough to support the answer.
The practical question is commercial: does AI visibility help buyers understand why the SaaS product belongs in the shortlist? If not, the content and entity signals need work.
The right SaaS SEO model depends on how much senior diagnosis you need, how much delivery capacity you already have, and whether the business can execute recommendations quickly.
Some SaaS companies need a full-time in-house SEO hire. Some need agency delivery capacity. Others need an independent SEO consultant who can diagnose the problems, build the strategy, work directly with developers and marketers, and keep the work focused on commercial outcomes.
Option | Best fit | Trade-off | Typical SaaS use case |
|---|---|---|---|
Independent SaaS SEO consultant | You need senior diagnosis, strategy, and implementation without account layers. | Capacity is focused, so priorities need to be clear. | Founder-led B2B SaaS, Series A or B team, or marketing director who needs direct senior support. |
In-house SEO hire | You have enough SEO work to justify a full-time specialist and can manage the role well. | Hiring is slow, and one person may not cover technical SEO, content, links, and analytics. | Established SaaS company with a mature marketing team and clear ownership. |
SEO agency | You need larger delivery capacity across content production, digital PR, and reporting. | Senior strategy can be separated from the people doing the work. | Larger SaaS team with budget for multiple channels and internal SEO leadership. |
Josh is usually the best fit when a SaaS team needs senior SEO judgement without hiring a permanent lead. That can be structured as a project, an audit, or fractional Head of SEO support depending on what the business needs.
SaaS SEO should be measured by qualified demand, pipeline contribution, ranking movement, content-assisted conversions, and the cost efficiency of organic acquisition.
Traffic is useful, but traffic alone is a weak SaaS SEO KPI. A page can attract thousands of visitors and still produce no trials, demos, or sales conversations. Another page can attract fewer visitors but influence high-value deals because it answers the right comparison or implementation question.
The right SaaS SEO reporting setup depends on the sales model, but most businesses should track:
- Qualified organic demos, trials, calls, or sign-ups.
- Pipeline or revenue influenced by organic search.
- Rankings for commercial and product-led keywords.
- Search results CTR on high-impression terms.
- Content-assisted conversions across the buyer journey.
- Technical SEO health, indexation, and crawl efficiency.
- AI answer visibility and LLM shortlist presence for priority topics.
These metrics help separate SEO work that looks busy from SEO work that builds a stronger acquisition channel.
SaaS buyers rarely convert after one search. They may read a problem page, come back through a comparison query, ask an AI tool for alternatives, check reviews, then search the brand name before booking a demo.
That means last-click reporting can undervalue SEO. Josh looks at rankings, GSC data, GA4 events, assisted journeys, CRM data where available, and the content paths that repeatedly appear before qualified enquiries.
Josh works directly with SaaS companies on audit, strategy, technical SEO, content architecture, and ongoing organic growth without account managers or junior hand-offs.
The engagement starts with the problem. That might be stalled rankings, weak demo quality, high paid acquisition costs, technical debt, unclear product positioning, or a content programme that is publishing but not contributing to pipeline.
From there, the work is prioritised by impact. A list of 200 SEO tasks is not useful if nobody knows which five matter first.
The first stage usually combines technical SEO, keyword research, competitor analysis, content review, internal linking, analytics, and search results analysis. The aim is to find the constraints that are limiting growth.
For SaaS websites, that often means checking whether Google can crawl the important templates, whether JavaScript content is visible, whether feature pages are indexable, whether comparison pages exist, and whether the website sends clear entity signals.
The strategy sets out which pages to create, which pages to improve, which technical fixes matter, where links are needed, and how the work should connect to commercial goals.
This is where Josh combines SEO data with product and buyer context. The strategy should tell a SaaS team what to do next, why it matters, and what result to expect if the work is implemented well.
Some SaaS teams need recommendations only. Others need hands-on support with briefs, page structure, technical tickets, content editing, internal links, reporting, and developer conversations.
Josh can work alongside founders, marketers, developers, agencies, and in-house teams. The model is flexible, but the accountability is direct. You work with Josh, not an account manager.
Good SaaS SEO should be commercially honest: the right work compounds over time, but the timeline depends on authority, technical health, competition, content quality, and implementation speed.
Josh has worked across more than 50 clients in the UK and Europe, with a mix of technical SEO, content strategy, and commercial search growth. Relevant proof includes a 578% click increase for Half Double Institute over 6 months, ranking work around change management certification for APMG International, and competitive commercial visibility around IT support London.
Those examples matter because they show the pattern SaaS companies need: technical foundations, clear content architecture, commercial keyword focus, and enough proof for buyers to trust the result.
Josh is usually a strong fit when a SaaS company has a product with real differentiation, a team that can implement changes, and a need for senior SEO direction without a long agency contract.
The work is less suitable if the business wants guaranteed rankings, bulk content with no product input, or a fixed deliverable list that ignores what the data shows.
Expect direct feedback, clear priorities, and honest trade-offs. Some fixes can improve rankings or CTR quickly. Other parts of SaaS SEO, especially topic authority and link building, build over months.
There are no long-term contracts by default. The aim is to make the work useful enough that the relationship continues because it earns its place.
SEO for SaaS starts with buyer research, keyword mapping, competitor analysis, technical SEO, and product-led content. The work should cover problem, category, comparison, alternative, and implementation searches so the website supports the whole buyer journey, not only early-stage traffic.
SEO is evolving, not dead. Google rankings still matter, but AI answers, zero-click results, large language models, and third-party sources now influence how SaaS buyers research vendors. Good SaaS SEO needs search visibility, conversion quality, and entity clarity.
The 80/20 rule means a small number of pages, keywords, and technical fixes often create most of the commercial impact. In SaaS SEO, that usually means prioritising high-intent pages, product-led content, comparison terms, and technical constraints before expanding the content calendar.
The main types are technical SEO, content SEO, on-page SEO, link building, and increasingly GEO for AI answers. SaaS companies usually need all of them working together because product complexity, sales cycles, and competitive search results make isolated tactics weaker.
Hire an SEO consultant when you need senior strategy, diagnosis, and direct implementation support. Hire an agency when you need larger delivery capacity. For many SaaS companies, the best sequence is consultant-led strategy first, then focused delivery once the priorities are clear.
If your SaaS company needs clearer organic growth priorities, start with a focused audit and strategy call. Josh will identify where SEO can support rankings, buyer conversion, and LLM visibility, then set out the next steps without inflated promises or long-term lock-in.
Years of SEO experience across B2B SaaS, financial services, ecommerce and professional services.
Clients served, across the UK and Europe from challenger startups to established teams.
If your SaaS company needs clearer organic growth priorities, start with a focused audit and strategy call. Josh will identify where SEO can support rankings, buyer conversion, and LLM visibility, then set out the next steps without inflated promises or long-term lock-in.
Request a SaaS SEO audit →