SEO for Startups

An SEO strategy for startups starts from the buyer’s searches, not from the top of a keyword tool’s list. I sort them into three groups:

• problem searches — what people type before they know tools exist; good for content, slow to convert
• category and use-case searches — “[category] for [type of team]”; the core of most SaaS sites
• comparison searches — “[competitor] alternatives”, “[tool A] vs [tool B]”; small volumes, buyers close to a decision

With limited runway, the order is usually the reverse of the volumes: comparison and use-case pages first, because the people who land there are already choosing; problem content later, when the product and the message have settled. For each phrase I check who ranks now — a large directory, a well-funded competitor, a forum thread — and whether a young domain can realistically reach the first page within your timeline.

Many startup sites run on the stack I use every day — Next.js, React and TypeScript — often with the marketing site and the app in one repository. That stack ranks well when a few things are set right:

• rendering: marketing pages delivered as HTML from the server or generated at build time, not assembled in the browser. Google can run JavaScript, but later and not always, and many AI crawlers read only the first HTML response
• metadata per route: title, description, canonical and Open Graph set for each page, not one default inherited everywhere
• preview and staging deployments closed to search engines, so Google does not index a copy of your site on a temporary address
• the app kept apart: login, dashboard and settings pages out of the index; public pages linked and listed in the sitemap
• speed: Largest Contentful Paint under 2.5 seconds on a phone, which on Next.js usually comes down to images, fonts and third-party scripts

A React single-page app that loads all its text with JavaScript is the hardest case. The usual fix is to move the public pages to server rendering, which I can do directly in your codebase.

Product-led SEO means pages that show the product doing a specific job. For SEO for SaaS startups the useful types are:

• use-case and role pages — the product for agencies, for finance teams, for onboarding — each with real screens and steps, not the home page reworded
• integration pages — one per tool you connect to, saying what syncs, in which direction and how to set it up
• template and example pages, when the product works with templates, documents or workflows that people search for by name

These pages can be programmatic: generated from structured data in a CMS or from your product’s own database, so fifty integration pages share one design and stay up to date. Programmatic pages work when each one carries information the others do not — real settings, limits, examples. Pages that differ only by a swapped name are a known pattern, and Google tends to leave them out of results.

People who search “[competitor] alternatives” or “[your tool] vs [competitor]” are close to buying. If you have no such page, a review site or the competitor answers for you. A comparison page that converts is fair:

• it says where the other tool is the better choice and for whom
• it compares on what buyers weigh — pricing model, limits, integrations, where data is stored, support
• it dates the facts that change, and gets updated when they do

I prepare the structure and the factual parts; every claim about a competitor is checked against their public pages before it goes live.

In SEO for tech startups, documentation often ranks before the marketing pages do. Developers and admins search for error messages, API names and “how to connect X to Y”, and a well-built docs section answers them with your product in the answer. What helps:

• docs on your own domain, in a subfolder or subdomain you control, not on a hosted service’s address
• one page per task, with a title that names the task
• a changelog with a page per release, so each new feature has an address that can be found and quoted
• help-center articles open to search engines, unless they contain account-specific details

Buyers now ask ChatGPT, Perplexity or Google’s AI Overviews “what is the best tool for X for a team of ten” and get a shortlist before they open a single website. Getting onto that list is the work of generative engine optimization (GEO) and answer engine optimization (AEO). Assistants build such answers from what they can read and cross-check:

• your own pages, when they state plainly what the product does, for whom, at what price and with which integrations
• comparison articles, directories, review sites and community threads where your product is discussed
• consistency: the same name, category and facts everywhere, so the assistant does not mix you up with a similarly named product

That is why pricing hidden behind “contact us” and features shown only in screenshots hurt a startup twice: in search and in AI answers. I check how assistants describe your product and which competitors they name before the work and again after it. More on the AI SEO and GEO optimization page.

A typical SEO agency for startups sells a monthly retainer with a fixed number of articles and links, done by a team you rarely talk to. That suits a company with a marketing lead who manages vendors. For an early-stage startup I offer the other model: one SEO consultant for startups instead of an agency — the same person audits, plans, fixes the code or writes the tickets, and reports to the founder. Whoever you hire, ask:

• Will you report signups, trials and demo requests from search, or only rankings?
• Who writes the pages, and who checks them against the product?
• Can you work in our repository, or only send recommendations?
• Is there a minimum contract, and what happens to the work if we pivot?

1. Audit: crawling, rendering, indexing in Google Search Console, metadata, speed and the searches you can realistically win.
2. Technical fixes in the code — made by me or written as tickets for your developers.
3. The first pages: the most valuable use-case, integration and comparison pages, with structured data.
4. Measurement: GA4 events for signups and demo requests, so search traffic is tied to outcomes.
5. A plan for the next quarter, sized to your budget.

After that, SEO services for startups become a monthly rhythm: new pages, updates after each release, AI visibility checks and reporting. If the site itself needs to be built or rebuilt first, see startup website development and startup website design.

• SEO audit of a startup site: from 250 €, one-off, with fixes listed in order of impact.
• One-off work — technical fixes, a set of use-case or comparison pages, structured data: 250–700 €.
• Monthly SEO for a startup — new pages, updates, AI visibility and reporting: from 800 € per month; in very competitive software categories from 1,300 € per month.

Many early-stage startups need the audit and one round of fixes now, and monthly work only once the product and its message are stable. How I approach SEO for companies of any size is on the SEO optimization and strategy page; all prices are on the pricing page.

For established IT service companies rather than product startups, see SEO for IT companies.

For SaaS companies past first traction, with traffic and customers to build on, see SaaS SEO services.