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How to improve AI visibility: 8 steps, in the order that moves the answer

By Alex, maker of FrontStat · Updated 8 October 2026 · 10 min read

Most advice on improving AI visibility is a list of twenty things to do, in no order, with no evidence for any of them. This is eight, in the order they showed up in FrontStat's launch-week data for 347 new products, with the number behind each one. Do them top to bottom. Most founders can finish the first four in a week.

One fact runs through the whole list. Products whose own site was cited in at least one AI answer were recommended 51% of the time. Products never cited: 8%. Every step below is a way to become a page the assistants read.

1. Check where you stand today, on the right question

Before changing anything, get the baseline on a question a buyer would ask, phrased without your name in it. "What tool transcribes meetings offline?" is a buyer question. "Is Scrieb good?" tells you nothing about discovery. Put the question to ChatGPT, Claude and Gemini with web search on, and write down three things for each: did it name you, who did it name instead, and which pages did it cite. The free checker does this in about 30 seconds and keeps the record.

Keep the cited pages. They are the reading list the assistant used, and the rest of this guide is about getting onto it.

2. Make sure the assistants can read your site at all

An assistant that searches the web before answering sends a crawler. If your robots.txt blocks it, your site cannot be a source, whatever else you do. Check for OAI-SearchBot and GPTBot (OpenAI), ClaudeBot (Anthropic) and Google-Extended (Google's AI products). Many hosting templates and "block AI" plugins deny all of them by default, which is the right choice for a publisher and the wrong one for a product that wants to be recommended.

Also check that your key pages render their text without JavaScript, carry a real title and meta description, and are not marked noindex. The AI recommendations method lists the exact crawler names and what FrontStat checks.

3. Fix how the assistants describe you

Ask each assistant "What is your product?". In launch week, ChatGPT got it wrong, thin or could not find it for 20% of products, Claude for 26%, Gemini for 16%. Products all three described correctly were recommended 35% of the time; the rest 19%. An engine cannot recommend what it cannot describe.

The fix is on your homepage. Say what the product is, for whom, in the first sentence of visible text, in plain words, and keep it identical everywhere you describe yourself (listings, app stores, your GitHub README, your social bios). Add SoftwareApplication markup with the name, category, operating system and price. If a different company shares your name, add the disambiguating noun to your title tag: "Tofu, deployment for AI-built apps", not "Tofu".

4. Rank first for your own name

58% of new products rank first on Google for their own name; 26% are not on page one. The ones that rank first were recommended 31% of the time against 23% for the rest, because assistants that search start from the results page. If a directory or a namesake outranks you, the assistant reads them first.

Put the product name first in your homepage title, add Organization markup with your logo and social profiles, and request indexing in Search Console. If a common word is your name, the title gets the noun from step 3. The search method page shows how FrontStat checks this.

5. Publish the page that answers the buyer question

This is the step with the largest effect and the least competition. Assistants quote pages that answer the exact question asked. If a buyer asks "what app tracks time spent on a goal", and your site has a page titled with that question, answered plainly in the first paragraph, with a short factual comparison against the two products the assistants named instead of you, that page is a source. Today the assistants are citing someone else's comparison page and naming the products on it.

Write one page per buyer question, not one page for all of them. Answer in the first two sentences. Keep the comparison factual: what each product does, what it costs, what it does not do. Add FAQ markup for the three questions buyers ask next. Then link to it from your homepage, so the crawler finds it.

What this looks like as content: generative engine optimization in practice

Most of what gets called generative engine optimization (GEO) or AI search optimization is the content side of step 5, so here is the whole of it in one place. An AI search engine, whether ChatGPT with search, Perplexity, Gemini or Google's AI Overviews and AI Mode, reads a page the way a hurried person does: it takes the first direct answer it finds, prefers a page whose title matches the query, trusts a page that cites sources, and quotes short passages it can lift whole.

• Answer first. The first paragraph under each heading answers the question in one or two sentences. Detail after, never before.
• One query per page. A page that answers "what app tracks time on a goal" beats a page that answers eight questions at once, because the citation is at page level.
• Facts, with numbers. Prices, limits, dates, a comparison table. AI-generated answers are built from facts they can repeat; adjectives do not get cited.
• FAQs and structured data. A short FAQ section with FAQPage markup, SoftwareApplication markup on the product page, Organization markup on the homepage. The markup does not make the assistant like you; it makes sure it parses you correctly.
• Keywords still matter, as the query. Use the buyer's words in the title and first sentence. Traditional SEO and AI visibility share this step, because assistants that search start from the search results.

Then measure. The metric is not "ranking"; it is the share of AI answers that name you for each prompt, and the citations each answer carries. That share is what the rest of these steps move.

6. Get onto the pages the assistants already cite

Across 1,041 launch-week answers, 66% cited at least one page, and the hosts cited most were GitHub, the Apple App Store, Reddit, Google Play, Wikipedia, dev.to, Product Hunt and AlternativeTo. These are the pages the assistants read for new products. A public GitHub repository with a clear README, an App Store or Play listing with the same description as your homepage, an AlternativeTo entry, and a dev.to post that answers your buyer question each give the assistant a second source that says what you are.

Your own report shows the exact pages cited for your question. Those are the ones to be on, or to get mentioned on. A comparison post that lists five tools and not yours is a message away from listing six.

7. Stop expecting launch listings to do it

Launch sites are good for a launch day, and some give you a link Google counts. They do not move AI answers on their own: products listed on two or more launch sites were recommended exactly as often as products listed on one, 27% each, and products with a counting link 28% against 27% without. Listings help through steps 3 and 6, by repeating a correct description somewhere an assistant reads. Product Hunt was cited in 11 answers out of 1,041. Choose listings for that reason, and spend the afternoon on step 5 instead. Which sites are worth the two minutes is in Where to launch a product in 2026.

8. Check every day, and read the change, not the score

Answers move. An assistant that searches reads whatever is current, so a single answer can flip from one day to the next, and one check a month tells you nothing about which of your changes worked. Check daily, on the same questions, and look at three things when an answer changes: which assistant changed, whether a new page was cited, and who was named instead. That is how you learn which step moved the answer.

FrontStat Pro does this for up to 10 buyer questions, every day, and emails you the day an assistant starts or stops recommending you. The founders who improve fastest are the ones who published a page in step 5, saw it cited within a week, and then wrote the next one.

The order, in one line

Baseline on a real buyer question, let the crawlers in, be described correctly, rank first for your name, publish the page that answers the question, get onto the pages already cited, treat listings as a side effect, and check daily. The lever is the source list, and you can be on it.

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