Domain authority from zero for a new SaaS

A new domain has little performance history to inspect. Before making its authority score a target, check whether people can find the product’s pages and whether those pages answer the questions that matter to them.

Links, accurate public profiles and useful resources can help a new product be discovered. They take different kinds of work, and no single score tells you which one will help your next customer.

This guide separates third-party authority metrics from the practical work of making a new software company easier to find and assess.

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What domain authority really is

Domain Authority, with the capital letters, is a third-party score invented by an SEO tool vendor. Google does not use it. It is a useful rough proxy and a terrible north star. The thing it approximates is real, though, and it is worth being precise about what that thing is.

Links can help people discover a resource and are part of how search systems understand the web. Independent references can also give customers information they cannot get from your own site. Neither is a universal explanation for a particular AI recommendation.

A new domain may have few references, but that does not make it ineligible for search. Publish useful, accessible pages and check indexing before assuming an authority score explains low traffic.

Two layers: links and entities

There are two distinct layers stacked here, and founders usually only think about the first one.

The first is the classic link layer. Other sites link to your pages, those links pass signal, and pages accumulate standing. This still matters for traditional search and it is the part everyone already knows about.

Clear identity is useful too. A consistent product name, an accurate category description and current public profiles help people distinguish your company from similarly named products. These practices do not establish a universal threshold for being named by an assistant.

Why a new SaaS starts invisible

Audit what a prospective customer can find beyond your homepage. The aim is to identify missing or contradictory information, rather than to satisfy an assumed model of machine confidence.

Does another independent site name the product? Usually no. Does any structured database hold a record for the company, with a founding date, a category, and a link back to the site? No. Do the descriptions of the product match across the places it does appear, so a system can reconcile them into one consistent entity? There is only one place it appears, so there is nothing to reconcile. Has anyone in a community written the product name next to the problem it solves, in a sentence a crawler indexed? Not yet.

Where an important source is absent, decide whether creating or correcting it would help your audience. Where a source exists, check what it actually says. A directory entry you wrote yourself is not an independent endorsement.

The self-reference trap

Publishing more pages is useful when those pages meet a reader need. A worked example or original analysis gives others a reason to refer to it. More thin pages do not create that reason.

Step one: make yourself a recognisable entity

Before chasing links, give the machines something to attach facts to. This is the cheapest, highest-return work for a new product, and almost nobody does it deliberately. The goal is consistency: the same name, the same one-line description, the same category, the same founding details, repeated across a handful of structured sources so that systems can reconcile them into one confident entity.

Get into the structured databases

Choose profiles and directories that are relevant to your audience and whose inclusion requirements you meet. Keep the information accurate and maintainable.

• Relevant company profiles: use the correct name, category and canonical website URL.
• Industry directories: check audience relevance and inclusion requirements before submitting.
• Public product profiles: maintain current screenshots, capabilities and support details.
• Your own structured data: describe visible facts accurately and keep referenced profiles up to date.

Keep the name, URL and core facts consistent. Descriptions can vary naturally by context: a technical directory may need integration details, while a customer-facing profile may need a clearer account of the task it helps with.

Claim the directories and review sites

Category directories and review sites are doing double duty. They are themselves surfaces where users decide what software to use, and they are high-trust pages that name your product in context. A G2 or Product Hunt or Capterra page is an independent source describing what you do, in the same category language your users search with. Claim the profiles, fill them out accurately, and keep the description consistent with everywhere else. You are simultaneously appearing where people choose tools and adding another corroborating reference to your entity.

Step two: earn mentions, then links

A link and an unlinked mention are different observations. Record where each appears and whether it introduces the product to a relevant audience. There is no required sequence in which mentions must precede links.

Be useful where your users already are

The durable way to earn mentions with no budget is to be genuinely useful in the places your users already gather, and to do it under your own name. Answer a hard question in a relevant subreddit. Write a comment on Hacker News that actually helps, then mention what you built only when it is the honest answer to the thread. Publish a teardown or a build-log on Indie Hackers. Each time, you leave behind a sentence on an independent, indexed, high-trust surface that names your product next to the problem it solves. That is the exact shape of evidence the engines are looking for.

A contribution may help the person asking and remain useful to later readers. Its continued value depends on the question, accuracy and discoverability, so revisit important answers when the product changes.

Write the thing other people cite

A worked example, transparent method or original measurement gives another writer something specific to reference. Choose a narrow question you can answer well and publish enough detail for a reader to check or reproduce the result.

Step three: consistency, repeated, over time

Give important references an owner and a review date. Product changes can make an otherwise useful listing or article inaccurate, and maintaining it may be worth more than adding another profile.

Use a manageable review schedule for profiles and content. Let actual product changes and customer questions determine the edits, rather than repeating a description everywhere solely to increase its frequency.

What to watch while it builds

Track the measurements you can observe: relevant search impressions and clicks, referring pages, useful conversations and accurate AI mentions on a stable question set. A change in an authority score can prompt investigation, but it does not establish a cause.

Choosing the next task

Start with accurate product information and resources that help people complete a task. Maintain relevant profiles and contribute useful work that others have a reason to reference. Measure the resulting discovery and customer activity before deciding where to invest more time.

The free scan provides an initial discoverability check. AfterLaunch then monitors public signals and prepares growth work with evidence and a draft. Use those findings alongside your own customer and search data.