How to Get Listed in Claude and DeepSeek: A 2026 Guide to AI Comparison Optimization

How to Get Into Curated Lists in Claude and DeepSeek: A Guide to Optimizing Your B2B Product for AI Comparisons

By 2026, **AI-powered search systems** became the key channel for attracting B2B clients. Claude, DeepSeek, and other AI assistants increasingly generate product roundups based on data from the internet. However, **getting into these comparisons** is a non-trivial task: you need to rank well in traditional search *and* account for the specifics of AI operations.

In this article, we’ll break down how **Share of Voice (SoV) mechanics** work in the context of AI roundups, what factors influence a product’s inclusion in reviews, and how to structure content to increase your chances of appearing in top comparisons. We’ll also explain how tools like GEO Engine (geoengine.pro) help monitor and improve visibility in AI search.

What Is Share of Voice (SoV) and Why It Matters for AI Roundups

Share of Voice (dominance in discussions) is a metric showing how often your brand is mentioned compared to competitors. In traditional SEO, SoV is measured through traffic share or mentions in search results. In AI roundups, **SoV determines how visible your product is to algorithms** generating reviews.

You can measure SoV in AI contexts by:

• Mention frequency in thematic discussions (forums, blogs, social media);
• Content quality that AI assistants cite;
• Structured data presence (schema markup, comparison tables);
• Authoritative sources referencing your product.

"AI roundups are based on analyzing millions of pages. To appear in them, your content must be not only unique but also structured so algorithms can easily interpret it."

How AI Engines Generate Product Roundups

Claude, DeepSeek, and similar models use complex algorithms to generate comparative reviews. Their process can be broken down into several stages:

1. Data Collection. AI scans web pages, forums, documentation, and reviews to find relevant product information;
2. Content Analysis. Algorithms evaluate quality, structure, and authorship of content. For example, pages with clear comparison tables and customer reviews have a higher chance of being considered;
3. Ranking. AI ranks products by relevance, popularity, and other factors (e.g., number of mentions on authoritative platforms);
4. Roundup Generation. Based on selected data, a final review is created.

It’s important to understand that **AI doesn’t just copy information**—it interprets it. Therefore, content must be **clearly structured** and include all necessary comparison data (pricing, features, reviews, etc.).

Content Structure: How to Make a Page AI-Friendly

To get your product into AI roundups, optimize your content for their requirements. Here are the key elements to include on your page:

1. Clear Product Description

AI must quickly understand what your product does. Use a concise yet informative description in the first paragraphs of the page. Avoid marketing clichés—focus on **facts and unique features**.

2. Comparative Tables

AI engines favor structured data. **Comparison tables** with competitors or different pricing tiers of your product increase your chances of appearing in roundups. Example:

Feature	Your Product	Competitor A	Competitor B
CRM Integration	✅ Yes	✅ Yes	❌ No
Price (Basic Plan)	$29/month	$39/month	$24/month
24/7 Support	✅ Yes	❌ No	✅ Yes

3. Customer Reviews and Case Studies

Reviews and real case studies build trust and help AI assess product quality. Place them on a dedicated page or a section on the homepage. Use **schema markup** (e.g., Review or AggregateRating) so AI can easily extract this information.

4. FAQ and Detailed Answers

AI often uses **questions and answers** to form roundups. Create an FAQ section addressing **common questions** about your product: pricing, integrations, limitations, etc. This increases the likelihood that AI will include your product in a comparative review.

Share of Voice: How to Increase Your Presence in AI Roundups

Share of Voice (SoV) in AI roundups depends on several factors. Here’s how to boost it:

1. Work with Authoritative Resources

Mentions on well-known platforms (e.g., G2, Capterra, Product Hunt) increase AI’s trust in your product. Register on these platforms, provide full product details, and gather reviews.

2. Optimize for Long-Tail Keywords

AI frequently uses **long-tail queries** to generate roundups (e.g., “best CRM for startups with Slack integration”). Optimize your content for such queries to increase your chances of appearing in reviews.

3. Collaborate with Experts and Bloggers

Guest posts and interviews on thematic resources boost SoV. AI considers mentions on authoritative sites, so the more experts discuss your product, the higher your chances of appearing in roundups.

Technical Aspects: What’s Needed for AI Optimization

Beyond content, **technical factors** help AI correctly interpret your page.

1. Schema Markup

Use **microdata markup** to structure product information. For example:

• Product — for product descriptions;
• Offer — for pricing;
• Review — for reviews;
• FAQPage — for questions and answers.

This helps AI quickly extract the necessary information.

2. Page Load Speed and Mobile Optimization

Fast page loading and mobile responsiveness are mandatory. AI engines consider these factors during ranking.

3. Internal Linking

Link to related pages (e.g., from the product homepage to pricing or FAQ pages). This helps AI understand your site’s structure and find all relevant information.

"AI doesn’t just search for keywords—it analyzes context and structure. The easier it is for algorithms to understand your product, the higher your chances of appearing in roundups."

Practical Steps: Checklist for AI Roundup Optimization

To streamline the process, here’s a **step-by-step checklist**:

1. Analyze your current SoV.

   Use tools like GEO Engine (geoengine.pro) to assess brand visibility in AI search. Identify where you lag behind competitors.

2. Optimize product pages.

   Add clear descriptions, comparison tables, reviews, and FAQs. Ensure information is structured and easily digestible by AI.

3. Add schema markup.

   Use microdata for key elements (pricing, reviews, features).

4. Increase mention volume.

   Collaborate with authoritative resources, publish guest articles, and partner with experts.

5. Monitor results.

   Track how visibility in AI roundups changes and adjust your strategy accordingly.

Examples of Successful Strategies

Let’s look at how **leading B2B companies** optimize their products for AI roundups:

1. Slack

Slack actively uses **structured data** and includes detailed comparison tables on its site. This helps AI easily extract information about functionality and pricing.

2. HubSpot

HubSpot optimized its content for **long-tail queries** and added an FAQ section with detailed answers. As a result, its product frequently appears in AI roundups for marketing tools.

3. Notion

Notion works with **authoritative resources** (e.g., Product Hunt) and collects customer reviews. This increases SoV and helps AI include the product in reviews.

Company	Strategy	Result
Slack	Structured data + comparison tables	Frequent appearances in AI roundups for messaging tools
HubSpot	Long-tail optimization + FAQ	Leadership in CRM system roundups
Notion	Collaboration with authoritative resources + reviews	Top positions in work tool reviews

Conclusion: What’s Next

Getting into Claude, DeepSeek, and other AI assistant roundups is **achievable** if approached systematically. Start by analyzing your current **Share of Voice**, optimizing content for AI requirements, and increasing mentions on authoritative platforms.

Remember that **monitoring and analysis** are key to success. Tools like GEO Engine help track AI search visibility and refine your strategy. For deeper insights, explore best GEO promotion practices for 2026.

Keep in mind: AI roundups aren’t magic—they’re the result of **meticulous content, structural, and authority work**. Start today, and you’ll see results in just a few months.