Tech Agency Websites: SEO Report (Week 41, 2026)

These results are drawn from a small number of sites in Kenya, so treat them as early directional signals rather than settled industry benchmarks. Every site scored 67 out of 100, landing squarely in the "Good, with gaps" band of 60 to 79. The complete absence of spread, a standard deviation of zero, is itself informative: it suggests that tech agencies in this market are reaching a broadly similar level of SEO maturity, doing the basics competently but stalling at the same ceiling.

A score of 67 is a credible starting point for a software-development agency or ML consultancy. It means crawlability, mobile rendering and structured data are largely in order. However, 33 points are being left on the table, and for a business whose entire value proposition rests on technical competence, that gap carries reputational weight. A prospect evaluating a data-engineering firm against a shortlist will often check the site directly; a weak search presence or missing metadata signals carelessness with detail, which is the last impression a technology business should give.

The fact that no site reaches the "Strong" band above 80 points to a cluster of fixable, high-value gaps rather than deep structural problems. Search descriptions and keyword targeting alone account for 16 of the missing points on average, meaning a focused two-week sprint on content and metadata could realistically push sites into the 80-plus range without any change to design or architecture.

Page structure (82 per cent of available points) and links, sharing and rich results (83 per cent) are the strongest groups, which is expected: agencies building software products for clients naturally produce well-organised HTML, set language attributes correctly and implement structured data. These are table-stakes technical habits that carry over from development work.

The two groups that drag the overall score down are the Google listing (56 per cent) and content and keywords (53 per cent). Together they represent 45 available points, of which roughly 20 are lost on average. For a tech agency, this is a commercial problem as much as an SEO one. A fintech development shop or infrastructure consultancy that cannot tell Google clearly what each page is about will struggle to surface for searches like "cloud migration partner Nairobi" or "custom API integration Kenya". The snippets group covers titles and meta descriptions, the short lines of text that appear in search results; when those are thin or missing, click-through rates fall even when rankings are reasonable.

• Found by Google: 72 per cent, pulled down almost entirely by HTTPS absence and slow response times
• Google listing: 56 per cent, the single weakest group relative to its potential
• Content and keywords: 53 per cent, with keyword targeting failing completely

The "Found by Google" group sits at 72 per cent, a respectable figure undermined by one critical failure. Fixing the secure connection alone would recover 5 points in this group and immediately improve trust signals for enterprise clients running security-conscious procurement processes.

The pattern across all 23 checks divides cleanly into three groups: things done well, things done partially, and two outright failures that carry disproportionate weight.

Every site passes open-to-search-engines, sitemap, canonical address, mobile readiness, unique titles, unique descriptions, sufficient word count on key pages, alt text on images, language declaration, structured data, favicon and homepage internal linking. That is a solid technical foundation. A software-modernisation agency or DevOps consultancy that has ticked these boxes has clearly had an engineer review the site at some point.

The two complete failures are HTTPS (5 points lost, 100 per cent of sites failing) and keyword targeting per page (8 points lost, 100 per cent failing). HTTPS is not optional in 2024: browsers flag plain HTTP sites as "Not secure", enterprise procurement teams frequently disqualify vendors whose own infrastructure lacks basic encryption, and Google uses HTTPS as a direct ranking signal. Keyword targeting means each page should be built around a specific search term, for example a dedicated page optimised for "React Native development Kenya" rather than a single services page that mentions everything vaguely.

Partial passes include page speed, page titles, main H1 headings, blog freshness and social sharing previews. These are all improvable without rebuilding the site:

• Add a unique meta description to every service, case-study and team page
• Assign one primary search keyword to each page and use it in the title, H1 and opening paragraph
• Migrate to HTTPS as the single highest-priority action before any content work begins

Every site serves pages over plain HTTP rather than HTTPS, scoring zero on the secure connection check and losing the full 5 points available. For a tech agency, this is an acute problem. Enterprise clients in sectors such as banking, insurance or logistics, precisely the clients a fintech development shop or data-engineering consultancy targets, routinely run vendor security assessments. A supplier website without TLS encryption fails the first line of those assessments. Migrating to HTTPS via a certificate from a provider such as Let's Encrypt is free and typically takes a few hours; there is no technical justification for deferring it.

Time to first byte averages 871 milliseconds, which is a partial pass. Google's threshold for a "fast" server response is under 200 milliseconds; anything approaching one second indicates that the server, hosting tier or back-end processing needs attention. For a consultancy that pitches clients on performance engineering or cloud infrastructure, a slow-responding website is a visible contradiction. Page weight is low at 31 kilobytes on average, so the payload itself is not the bottleneck; the delay is almost certainly server-side, pointing to shared hosting, an unoptimised application server, or a lack of a content delivery network.

On the positive side, sitemaps are present on every site and average 12 URLs, giving Google a clear map of all key pages, which for a tech agency should include individual service pages (say, "data pipeline development" or "legacy system migration"), case studies and team profiles. Robots.txt is correctly configured on every site with no pages accidentally blocked, canonical tags are set universally, and no broken pages were found. These are genuinely good technical hygiene results that protect crawl budget and prevent duplicate-content penalties.

Page titles average 53.5 characters across the sites reviewed, which sits within the broadly acceptable range, yet 36 per cent of pages are running titles that exceed the point at which Google truncates them in search results. For a software-development agency or ML consultancy, a truncated title is a commercial problem: prospects searching for "cloud migration services Kenya" or "custom fintech API development" see only a fragment of the proposition before the title is cut off, weakening the click-through case against better-optimised competitors.

The more significant gap is in search descriptions. The mean description length is 337 characters, more than double the roughly 155-character limit that Google will display, and not a single description across the sample falls within the ideal length band. Descriptions beyond that threshold are rewritten by Google automatically, often with text pulled from the page body that carries none of the agency's intended positioning. Around 9 per cent of pages have no description at all. Search descriptions account for 8 points lost on average in the overall scores, making them the single largest fixable gap in the report.

For a tech agency, the description is effectively a one-line pitch to a technical buyer. A data-engineering consultancy, for example, should be using those 150 characters to name the stack (dbt, BigQuery, Spark), the client outcome (pipeline reliability, reduced reporting latency), and the engagement model (retainer, project). Writing tight, keyword-anchored descriptions for core service pages, such as software modernisation, DevOps, and system integration, and keeping titles under 60 characters with the primary service term front-loaded, are the two highest-return fixes available right now.

Nearly half of the pages checked carry no H1 heading at all, a structural gap that matters more for tech agencies than for many other business types. Search engines treat the H1 as the primary signal for what a page is about. When a software-modernisation agency's legacy-system assessment page lacks an H1, Google has no unambiguous anchor for the topic and is more likely to rank the page for peripheral terms, or not at all, than to surface it for the intended query.

Among pages that do have an H1, the figure sits at 54.5 per cent, meaning the sector is close to evenly split. No pages carry multiple H1 tags, which avoids one common error, but the absence problem is the more pressing one. H2 subheadings average 4 per homepage, a reasonable starting point for signalling topical structure, though individual service pages for offerings such as API development, data platform builds, or infrastructure-as-code engagements benefit from more granular subheading hierarchies that mirror the questions a technical buyer actually asks.

Image data was not available for alt text coverage in this sample, so that dimension cannot be assessed here. What can be said is that tech agency sites frequently carry architecture diagrams, technology stack graphics, and case-study screenshots, none of which contribute to search visibility without descriptive alt text. A diagram showing a microservices architecture, for instance, should carry alt text that names the components and the business context, not a file name like "image_03.png". Fixing H1 coverage on every indexed service page is the immediate priority.

Homepages average 376 words, and every site in the sample clears the 300-word minimum threshold, which is a reasonable baseline. The concern is that 376 words is a floor, not a target. For a tech agency pitching complex, high-value services, a homepage carrying fewer than 400 words is unlikely to give Google enough signal to understand the full scope of the offer, and it gives human buyers little reason to stay. A software-development agency competing for enterprise modernisation contracts, for instance, typically needs to establish credibility around methodology, technology partnerships, regulatory awareness, and delivery track record, none of which fits comfortably in under 500 words.

The sites average 11 indexed pages each, which is a modest footprint. Every site runs a blog, and every site has a shop or equivalent transactional section, which is notable. Blog posts have a median of 4, a very thin library. For an ML consultancy or data-engineering firm, a blog is where topical authority is built: detailed posts on, say, implementing medallion architecture in Databricks or managing schema drift in streaming pipelines are the content that attracts the technical decision-makers who later commission projects. Four posts cannot establish that authority.

The keyword focus score is 0 per cent across the board: no page in the sample is explicitly optimised around a target keyword at both the content and H1 level. This is the structural content problem beneath all others.

• Expand homepage copy to at least 600 words covering services, stack, and client context
• Publish at least two in-depth technical blog posts per month on core service areas
• Assign one target keyword to every service page and reflect it in the H1 and opening paragraph

Every site in the sample implements structured data and Open Graph tags, and all carry X (Twitter) card markup, which is a stronger baseline than most sectors show. The structured data type in use is WebSite across 100 per cent of sites, which tells Google the domain identity and enables the sitelinks search box in branded queries. That is useful, but it is only the entry-level schema type. Tech agencies have access to more commercially valuable markup that none of the sites appear to be using.

Organization schema, for example, allows a software-development agency to declare its founding date, geographic service area, industry classifications, and employee count in a machine-readable format that Google uses to populate the Knowledge Panel and inform entity understanding. Service schema can be applied to individual offering pages, such as a DevOps-as-a-service page or a data-platform build page, and signals to Google exactly what the page is selling, to whom, and at what kind of engagement level. For agencies pursuing government or enterprise procurement, FAQ schema on proposal-process pages can generate rich results directly in search.

Open Graph coverage is universal in the sample, but the quality dimension matters: 0 per cent of sites have a fully populated OG implementation. Missing OG fields typically include the image dimensions, content type, and locale tags that platforms such as LinkedIn use to generate properly formatted previews. For a fintech development shop sharing a case study on LinkedIn, a broken or generic preview card reduces the professional credibility of the share before anyone reads the content. Adding Organization, Service, and where relevant, FAQPage schema to core service pages is the structured data priority for this sector.

A procurement manager shortlisting software development agencies will almost certainly pull up the agency's website on a smartphone while commuting or between meetings, long before any formal evaluation begins. The decision about whether to send an enquiry is often made in that first thirty seconds on a mobile screen. For a tech agency, the stakes are particularly high because the site itself is a proof of craft: if the navigation collapses awkwardly on a Galaxy S-series handset, or if the case study for a fintech modernisation project loads in four seconds rather than one, the implicit message is that the agency's own digital execution is poor.

The most common failure pattern on agency sites is a homepage that leads with a dense paragraph about the agency's philosophy or founding story, pushing the actual service proposition and contact option below the fold on mobile. A visitor who cannot immediately see what the agency builds, for whom, and how to start a conversation, will leave. Above-the-fold content on mobile should name the specialism plainly, for instance "We build data pipelines for East African financial institutions", and offer a direct route to contact or a recent case study.

Page speed compounds the problem. A site that scores poorly on time-to-interactive on a mid-range Android device will rank lower in mobile search results regardless of how strong the content is, because Google's mobile-first index treats speed as a quality signal. Compressing images on service pages, deferring non-critical JavaScript, and serving assets from a CDN close to the target geography are practical steps that a competent front-end engineer can complete in a focused sprint of two to three days.

When a CTO types "recommend a software agency specialising in ML model deployment on AWS" into an AI assistant, the system is not running a keyword match: it is synthesising content from sites that have clearly articulated their specialism, their process, and the outcomes they have delivered. Tech agencies whose websites use vague language such as "end-to-end digital solutions" or "innovative technology services" are essentially invisible to that synthesis, because the AI has nothing specific to anchor a recommendation to.

The sites that appear in AI-generated shortlists tend to share a few structural qualities. They name technologies and methodologies explicitly: not just "machine learning" but "MLOps pipelines built with Kubeflow and deployed on GCP". They describe client problems in the language those clients use, for example "reducing reconciliation time for payment processors" rather than "optimising financial workflows". And they publish case studies that include a problem statement, the technical approach, and a measurable result. Structured data, which is already present across all the sites in this sample, helps search engines and AI systems parse that content correctly, but it cannot compensate for vague underlying copy.

The practical implication for a Kenyan tech agency competing for regional or international contracts is to audit every service page against the question: could an AI assistant read this page and confidently state what we do, for which types of client, and with what result? If the answer is no, the page needs a rewrite that foregrounds specifics. A single well-structured case study describing, for instance, how the agency migrated a microfinance institution from a monolithic core banking system to event-driven microservices will do more for AI visibility than a dozen pages of generic capability statements.

Every point lost represents a ranking position that a competitor can take, and the average loss across these sites is just over 32 points out of 100. That is a substantial gap, and because these are early signals from a small sample, the proportions should be read as directional rather than definitive. The encouraging reality is that the top losses are concentrated in fixes that take hours, not months.

Search descriptions and keyword focus each cost up to 8 points and are missing across the board. For a tech agency, this is a critical oversight: a prospect searching for "Python data engineering consultancy Nairobi" or "legacy Java modernisation Kenya" will see your meta description before they see your homepage. Writing one targeted description per page, and mapping each page to a single service keyword, takes a skilled copywriter one to two days across a typical agency site and delivers the highest return of any item on this list.

After those two, the priority order is:

• HTTPS (5 points lost): every browser flags non-secure sites as unsafe, which is fatal for agencies selling trust to enterprise buyers; a TLS certificate typically takes under a day to configure
• Clear page titles (up to 8 points available, nearly 3 lost on average): titles are the first signal Google reads; a title like "Services" tells no one anything, whereas "Cloud Infrastructure Services - Nairobi" does
• One H1 per page (up to 6 points available): search engines and screen readers both depend on a single, descriptive heading
• Open Graph tags (5 points available): when a CTO shares your case study in a Slack channel, an unformatted link preview undermines credibility instantly
• Page speed (4 points available): slow time-to-first-byte on proposal pages costs both rankings and conversions
• Blog consistency (3 points available): already present, so this is about sustaining output rather than starting from scratch

This edition counts the newest check of each Tech Agency website checked with the AI Website SEO Checker between 8 Oct 2026 and 8 Oct 2026. Each check reads the homepage, robots.txt and the sitemap, up to 12 public pages the way Google reads them, and three pages in depth with AI, then scores 23 checks in five groups out of 100 points. Every number in this report is worked out from those checks.