Guide

How to get your SaaS cited in AI search

Team AfterLaunch7 min read
In this article

A prospective customer asks an AI assistant which product would solve their problem. The answer names other products. Before writing another article or changing your markup, find out which questions matter to your customers and what evidence those answers use.

This guide offers a practical way to investigate that gap, prepare useful work and measure what follows. A citation is a source link in one answer. It is not the same as a recommendation, a website visit or a sale, and no technical change guarantees one.

How AI visibility fits into organic growth

Start with how your customers discover and evaluate products. For one business that may mean search results and detailed comparisons. For another it may mean industry communities, a partner recommendation or a directory customers trust. AI answers are another place to investigate, alongside those existing routes.

Google says its generative Search features use its core Search systems and that SEO remains relevant. Treat AI visibility as part of your organic growth work. Compare the visitors and customers each channel brings before deciding where to spend your next hour.

Google's guidance on generative AI Search →

Check what the engines can actually access

A robots.txt permission, a successful page fetch, an indexed page and a citation are different observations. Check them separately. A plain HTTP check can reveal an inaccessible page, but it does not establish what every search engine has indexed or rendered.

Crawler names matter. OAI-SearchBot controls automatic ChatGPT search access. GPTBot controls use for model training, while ChatGPT-User handles user-requested visits. OpenAI documents these as separate controls: you can allow search and decline training.

OpenAI's crawler controls →

Googlebot is used for Google Search. Google-Extended controls certain Gemini training and grounding uses and does not control inclusion or ranking in Google Search. Review the documentation for each provider you want to reach before changing a deliberate access preference.

Google's crawler and product controls →

Use Search Console to investigate Google indexing and crawl problems. Check that the relevant public pages load, that their important content is visible, and that internal links lead to them. If a tool was blocked from checking a page, record an unknown result instead of assuming the page has no content or markup.

Choose where useful work belongs

Your own site is the place to explain your product accurately: what it does, who it suits, its limitations, current pricing and how to try it. Customer questions and actual buying objections are useful starting points for deciding which pages to improve.

Third-party surfaces can help people discover and assess your business. Look at the sources cited in relevant answers and the places your customers already use. A specialist directory or a careful reply to a live discussion may be more appropriate than publishing everywhere. Your own promotional posts are not independent endorsements.

Structured data is another representation of facts on a page. Use applicable types and keep them consistent with the visible content. Do not add invented ratings, prices, capabilities or questions to make a block look complete. Markup alone is not evidence of authority or future citations.

Google's structured-data policies →

Prepare one useful move and test it

Choose a customer question that matters to your business. Read the current search results and AI answers, including the sources they cite. Write down the gap you can substantiate: missing product information, an outdated comparison, an unanswered implementation question or a relevant listing that is incomplete.

Improve an existing page when it can answer the question well. Create a new page when the subject needs its own explanation. Bring something you can support, such as a worked example, an original measurement with its method, or a comparison checked against current product documentation. Do not create a separate thin page for every wording of the same question.

Share the work where it helps the audience. A community reply should answer the question in the thread and follow that community’s rules. Disclose your connection when recommending your own product. A directory submission should fit the directory and describe capabilities you actually provide.

Before publishing, review the complete artefact: visible copy, code, links and structured data. Check the claims against their sources. Keep the intended result separate from the observed result: publishing a comparison proves that a comparison was published, not that it brought customers.

Check observed access with the AI Crawlability Checker →

Avoid work built on unsupported promises

Do not add FAQ markup simply to chase a search feature. Google stopped showing FAQ rich results on 7 May 2026. Useful visible questions and answers can still help readers. If you maintain markup, it must describe the content that is actually present.

Google's FAQ feature update →

An llms.txt file can be useful documentation for a system that consumes it. It is optional, and Google explicitly says it does not help or harm Google Search visibility or rankings. Keep it when you have a practical use for it; its absence is not an access failure.

Avoid universal prescriptions such as posting on every social platform, adding every schema type or chasing a particular domain-rating score. Choose a move because the audience, evidence and expected benefit fit your business. Record uncertain ideas as hypotheses so you can stop them when results do not justify the effort.

Measure progress beyond the publication

Keep a small set of relevant questions and record the date, engine, wording, answer and cited sources when you check them. Repeat checks under comparable conditions. Results can vary, so a single answer is a sample, not a stable market share or proof that your latest change caused it.

Track the next steps as well: relevant impressions, referral visits, enquiries, trials and paying customers where your analytics can observe them. Record what changed on the site and when. If attribution is uncertain, say so rather than assigning every later improvement to the last move you published.

Choose a review date that fits the work. Fixing a broken link can be checked promptly; search traffic or sales may need a longer observation window. Decide whether to continue, revise or stop using the evidence available at that review. A steady process of useful work and honest measurement is more valuable than an expanding checklist.