How to get your startup cited by AI assistants

Start with a question your customers actually need answered. Publish something that helps them answer it, make the page accessible, and check what the assistants return. That is our recommended starting point for a small team. It is a process you can carry out and learn from, without assuming you know an engine's ranking formula.

Keep two outcomes separate: an answer can link to your page as a source without recommending your product. It can also name your product without linking to your site. Decide which outcome matters for the question before choosing the work.

Choose a question you can contribute to

Look through recent sales questions, support conversations and objections. Pick one recurring problem where you have something useful to show. A question about carrying out a task calls for different material from a question comparing products.

For a how-to question, show the method and the difficult parts. For a buying question, explain who your product fits, where it falls short and how someone can assess the alternatives. If you publish a comparison involving your own product, disclose that perspective and verify the competitors' claims.

A generic answer that names no products does not, by itself, prove that your startup was unfairly left out. Check what the person asked and whether a product recommendation would help them.

Check that your page is eligible

For AI Overviews and AI Mode in Google Search, Google says that supporting pages must be indexed and eligible for a Search snippet. It specifies no additional AI technical requirements, special files or special schema. Eligibility does not guarantee that Google will index or serve a page. Those statements concern Google's named features; they are not a specification for every assistant.

Check the page's indexing status in Search Console, whether crawlers can reach it, whether its important content is available as text, and whether internal links lead to it. If you use structured data, it should describe the visible page accurately. Fix an actual access problem before buying another optimisation service.

Turn experience into something a reader can use

Google's helpful-content guidance asks whether a page contributes original reporting, research or analysis and helps its intended reader achieve a goal. We use those questions as an editorial test, not a promise of citations.

Here is a hypothetical example. A small company sells scheduling software to physiotherapy clinics. Instead of producing another broad article about saving time, it could document a booking-system migration it has permission to discuss.

The useful material is specific: the source system and version, anonymised export column names, which fields map to the new system, what happens to unsupported fields, and how staff check for missing or duplicate appointments before switching over. Include a rollback step. If timings are reported, explain what was timed and under what conditions.

If the company has not done such a migration, it should run a clearly labelled demonstration with synthetic data or choose a task it has actually performed. It should not invent a customer, a success rate or twenty completed migrations to make the page sound authoritative.

The finished asset could be a guide plus a small mapping worksheet. Its value is that a clinic manager can make a better decision or avoid a mistake after using it, whether or not an assistant ever cites it.

Take the useful part to the right places

Use that same work to answer a relevant community question, make a short demonstration or offer a specialist publication an example its readers can use. Adapt the explanation to the audience instead of pasting the article everywhere. Disclose your involvement and follow the venue's rules.

Keep product descriptions and relevant listings accurate. Approach publications because the material fits their readers, rather than treating a mention as a guaranteed route into AI answers. Distribution is a way to put useful work in front of people; its effect on citations still needs to be observed.

Keep a small, honest record

Before publishing, save the answers to your chosen questions. Keep the exact question, engine, date, answer and cited URLs together. Record product mentions separately from links to your site.

One possible experiment is to publish the migration guide, revisit the same questions at planned intervals, and track visits and enquiries alongside mentions and citations. This is a proposed test, not research we have conducted. Repeated answers can vary, and a change after publication does not establish that the page caused it.

Finish one useful asset before expanding it into a campaign. If it brings relevant questions or enquiries, use those to choose the next piece of work. If it does not, reconsider the question, the asset and where you shared it.

How AfterLaunch helps

AfterLaunch is the agentic growth engine. It records how your product is being found and turns findings into ranked growth moves with supporting context and working drafts. You can review and continue that work in the app or through your connected AI, using the same move record.

The final standard is practical: has something useful actually been published or completed, and what happened afterwards? A prepared draft is progress, but it is not that outcome.