How to rank in AI search: a practical guide for 2026

"Ranking" in AI search means being named

There is no position one in an AI answer the way there is on a results page. When a buyer asks an assistant for the best tools or providers in a category, it writes a short answer that names a handful of options, often with a sentence on each. Ranking in AI search means being one of those names, appearing early, and being described accurately.

That changes what you optimise for. Search engines rank pages. AI answers summarise what several trusted pages agree on. Your own site is one input, but competitors' pages, review grids, roundups, documentation and community threads are inputs too, and frequently the decisive ones.

What our own data shows

We ran unbranded buyer questions ("best [category]", "[competitor] alternatives", "X vs Y") through AI search for 50 software brands. These are the only numbers we quote anywhere on this site, and we quote them as they are.

• 39 of 50 brands (78%) were never named in any answer to their own category's buyer questions.
• All 30 brands that had launched in the previous month scored 0.
• Being known is not enough: an established e-signature tool scored 52/100 and an AI voice tool scored 37/100.
• In 33 of 50 cases the most cited source was a competitor's own website: its "vs" pages, docs and help centre.
• Review sites were the most cited source for only 6 of 50 brands.

Step 1: state your category in one plain sentence

Assistants match brands to the category in the question. If your homepage says "the platform for modern growth", the model has to guess whether you are a CRM, an analytics product or an agency, and it often guesses by leaving you out.

Write one sentence of the form "[Brand] is a [category] for [audience]" and use it in your title tag, H1, meta description, about page, directory listings and social bios. Consistency across sources is what makes the description stick.

Step 2: find the sources that shape your category's answers

Ask 10 unbranded buyer questions for your category with web search on, and list every source the answers cite. Count how often each domain appears. A handful will dominate: often a competitor's comparison pages, documentation, one or two roundup articles and some forum threads.

That frequency list is your work plan. It is also where intuition tends to be wrong. Many teams assume review sites decide AI answers, but in our set of 50 brands, review sites were the top source for only 6, while a competitor's own site was top for 33.

Step 3: publish the page types answers draw on

• Honest comparison pages: "[You] vs [competitor]" with a real table and a clear statement of who each option suits.
• Alternatives pages: "[Market leader] alternatives" that list you among others, fairly.
• Public pricing with numbers. Answers prefer products whose price they can state.
• Ungated documentation and help-centre articles. A gated PDF cannot be cited.
• FAQ sections that answer buying questions directly, marked up with FAQPage schema.

Step 4: earn mentions on the sources you cannot publish

• Roundups: email the author of each frequently cited "best X" article with a short, honest note on who you are best for and an offer of a demo account.
• Review platforms: ask active customers for recent reviews on the platforms that actually appear in your answers.
• Communities: answer real questions in the forums and subreddits that get cited, and disclose that you work on the product.
• Directories: complete and keep consistent your listings on the launch and alternatives directories relevant to your category.

Step 5: make your site easy to read for machines

• Organization and SoftwareApplication or Product structured data with accurate names, URLs and offers.
• An llms.txt at the root summarising what you are and linking your key pages.
• A clean sitemap, canonical URLs and no important content hidden behind scripts or logins.
• Fast pages with descriptive titles and headings, so crawlers fetching on demand get the content quickly.

Step 6: measure on a fixed prompt set

Answers vary between runs, so judge progress on a fixed set of prompts sampled repeatedly, not on single screenshots. Track mention rate, average position and share of voice against your top three competitors. Expect movement over weeks as cited pages change and are re-crawled.

What does not work

• Stuffing pages with phrases like "best X" or "top rated". Self-declared rankings carry little weight against independent sources.
• Thin pages generated in bulk. They rarely get cited and can drag down how your site is assessed.
• Promising or paying for placement. There is no paid slot in organic AI answers.
• Checking once with your own brand name. It measures recall by people who already know you, not discovery.

Prompt types worth tracking

• Best-of: "best [category] for [audience]". The broadest and most competitive.
• Alternatives: "[market leader] alternatives". Often the easiest place for a smaller brand to appear.
• Head-to-head: "[A] vs [B]". Usually answered from comparison pages, including competitors' own.
• Constraint: "cheapest [category] for a small team", "[category] that integrates with Slack". Specific enough that niche products win.
• Problem-first: "how do I [job to be done]?". The answer may recommend a type of tool before naming any brand.

A note on AI summaries above search results

AI-generated summaries now appear above many search results, including searches for brand names. That means even people who search for you by name may read a summary first, and that summary can cite a competitor's comparison page. Publishing your own accurate comparison pages protects your branded searches as well as your category ones.

A 30-day plan

1. 01Days 1 to 3: baseline. Run 10 to 20 unbranded prompts and record names, positions and sources.
2. 02Days 4 to 7: fix the category sentence everywhere and add structured data and an llms.txt.
3. 03Days 8 to 20: publish two comparison pages and one alternatives page; make pricing and docs public.
4. 04Days 15 to 30: pitch the three most cited roundups, request reviews, answer two relevant community threads.
5. 05Day 30: re-run the same prompts and compare.