March 19, 202613 min read

How to Get Into Neural Network Recommendations: 5 Steps

A step-by-step guide to getting your brand recommended by ChatGPT, Claude, Perplexity, and other AI. 5 concrete steps with actions, timelines, and metrics.

Vladislav Puchkov

Founder of GEO Scout, GEO optimization expert

Based on the experience of brands on the geoscout.pro platform, systematic GEO optimization across all 5 steps leads to a noticeable increase in mention frequency in AI responses within the first months — with results growing steadily as signals from external sources accumulate.

Why Neural Network Recommendations Are the New Battlefield

Numbers you should know:

• A majority of consumers use neural networks for decision-making
• AI assistant audiences number in the hundreds of millions
• 30% of users make decisions based on the first AI response without visiting websites
• AI traffic grew 6x over the past year
• The average AI query contains 23 words — 5x longer than a Google search query

Neural networks typically recommend 3-7 brands in a response. If your brand isn't there — the customer goes to a competitor without even knowing about you. Unlike SEO, where a user might scroll to page 2-3 of results, in an AI response there's only one list. You're either in it or you're not.

The good news: GEO optimization (Generative Engine Optimization) is a young discipline. Competition is still lower than in SEO. Those who begin systematic work now will gain a long-term advantage.

Step 1: Audit of Current State

Any optimization starts with understanding the starting point. Without baseline metrics, it's impossible to measure progress.

What Specifically to Check

1.1. Brand Visibility in AI Responses

Ask at least 10-15 queries from your niche to each major AI provider. Queries should be brand-agnostic — without mentioning your brand or competitors.

Query types to cover:

1.2. Competitor Analysis

Identify 5-7 competitors that AI recommends in responses to your target queries. For each, record:

• How often they're mentioned (Mention Rate)
• At which position in the recommendation list
• With what sentiment they're described
• What advantages AI highlights

1.3. Own Content Audit

Go through key website pages with a checklist:

• Is there Schema.org markup (Organization, Product, FAQ, HowTo)?
• Do articles have real authors with verified expertise?
• Are pages structured with clear h2/h3?
• Are there FAQ sections?
• Is data current (prices, specifications, dates)?
• Are there comparison tables, lists, specific figures?

1.4. External Presence Audit

Check where the brand is mentioned outside your own website:

• Industry directories and aggregators
• Rankings and curated lists
• Professional media outlets
• Review sites and UGC platforms
• Forums and thematic communities

Step 1 Result

A completed table with baseline metrics:

Step 2: Strengthening E-E-A-T Signals

E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) is the foundation of AI trust in your content. Without strong E-E-A-T signals, the other steps will be significantly less effective.

Experience

AI values content from those who have real practical experience.

Concrete actions:

• Add case studies with measurable results: "Increased conversion by 40% in 3 months"
• Publish breakdowns of real projects with details (not abstract examples)
• Describe your own mistakes and lessons — this is a marker of real experience
• Show the "behind the scenes" process: screenshots, data, methodology

Expertise

AI needs to understand that the content author is an expert in the subject.

Concrete actions:

• Attribute every piece of content to an author: name, photo, title, relevant experience
• Create detailed author profiles listing achievements
• Add links to professional profiles (LinkedIn, industry platforms)
• Publish in-depth content with details only a practitioner would know

Authoritativeness

Authoritativeness is built from how others perceive you.

Concrete actions:

• Get mentioned in industry rankings and curated lists
• Publish in authoritative media as experts
• Participate in industry conferences (speaker publications are indexed by AI)
• Build a link profile from quality thematic resources

Trustworthiness

Trust is the most important factor in E-E-A-T.

Concrete actions:

• Feature real client testimonials with names and companies
• Add legal information: registration details, licenses, certifications
• Ensure pricing transparency
• Respond to negative reviews publicly and constructively
• Add contact information on every page

Step 3: Structuring Content for AI

Neural networks extract information from content in a machine-readable way. The easier it is for AI to parse and cite your content, the higher the chance of getting into recommendations.

Schema.org Markup

Minimum set for a business website:

Page Structure

Every important page should follow the principle: one question — one clear answer.

Structuring rules:

• Formulate h2/h3 headings as questions or answers: "How to Choose a CRM for Small Business" instead of "Our Solutions"
• First 2-3 sentences after a heading — a direct answer, no fluff
• Use bullet and numbered lists for enumerations
• Add tables for comparisons — AI works excellently with tabular data
• Highlight key conclusions in bold

Content for AI Queries

Create content that directly answers customer queries:

• Instead of "Our product is the best solution" write "How to solve [problem]: 5 approaches, pros and cons of each"
• Include specific numbers: cost, timelines, specifications
• Add objective comparison tables with competitors (not only in your favor)
• Write FAQ sections with real customer questions

Technical Aspects

• Ensure robots.txt doesn't block AI crawlers (GPTBot, ClaudeBot, PerplexityBot)
• Verify sitemap.xml is current and includes all important pages
• Page load speed affects indexation — optimize Core Web Vitals
• Mobile version should contain the same content as desktop

Step 4: Working with Citation Sources

AI forms recommendations not only from your website but from the entire internet. Third-party mentions often carry more weight than content on your own site. This is analogous to the link profile in SEO, but for neural networks.

Priority Platforms

Highest priority (do in the first 2 weeks):

1. Industry rankings and directories — getting into "Best [category] in 2026" lists directly impacts AI recommendations
2. Major industry publications — primary platforms indexed by all AI providers. Publish case studies, not promotional articles
3. Review sites — social proof that AI considers

Medium priority (within a month):

4. Thematic forums and communities — expert comments in discussions on your topic
5. YouTube — video reviews and tutorials are indexed by AI through transcriptions
6. Telegram channels with web versions — content from large channels enters the index

Long-term priority:

7. Wikipedia — if your company meets notability criteria
8. Scientific and industry publications — maximum weight for E-E-A-T
9. Podcasts — transcriptions are indexed, brand mention in an expert context

Mention-Building Strategy

Don't try to cover all platforms at once. Focus on 2-3 platforms per month:

Month 1: Industry rankings + 2 expert publications on major platforms Month 2: Activate review sites + YouTube content + thematic forums Month 3: Media and partner mentions + expand presence

How to Write Content for External Platforms

Content for external platforms should be:

• Expert — share real data, methodology, results
• Useful — solve the reader's problem, don't push a product
• Citable — include facts, figures, and conclusions that others will want to cite
• Brand-mentioning — naturally, in the context of a case study or expertise

Step 5: Monitoring and Iteration

GEO optimization is not a one-time project but a continuous process. AI systems constantly update, competitors don't stand still, algorithms change.

What to Monitor

Iteration Cycle

An effective GEO optimization cycle looks like this:

1. Monitoring — daily data collection across all AI providers
2. Competitive analysis — assessment: what's growing, what's falling, where competitors are ahead
3. Command Center — AI automatically turns data into a prioritized action list
4. Actions — executing tasks from the Command Center (content, markup, sources)
5. Measuring impact — monitoring shows results, the cycle closes

This closed-loop workflow is the key to stable growth. GEO Scout automates steps 1-3: daily monitoring across 9 AI providers, a Command Center with AI recommendations, and weekly reports via dashboard, PDF, and Telegram. More about choosing a monitoring tool — in the article AI Search Analytics Service.

How to Interpret Data

Mention Rate is growing, but position isn't changing — AI has started mentioning the brand, but still places it at the end of the list. You need to strengthen content expertise and work with authoritative sources.

Good position in some providers, bad in others — different AI systems use different sources. Analyze which sources each provider cites and adapt your strategy.

Neutral or negative sentiment — AI found the brand but didn't find enough positive signals. Strengthen case studies with results, update reviews, add specific achievements.

Share of Voice is falling with stable Mention Rate — competitors are ramping up activity faster than you. Increase the pace of publications and work with external sources.

Summary Table: 5 Steps with Actions and Timelines

Common Mistakes

• Optimizing only for ChatGPT. Other AI providers have massive audiences — Perplexity is growing fastest, Google AI covers billions of queries. Work with all providers.
• Copying SEO strategy. GEO is not SEO with a new name. Paid links and title optimization don't work for AI. Neural networks evaluate expertise and consensus from multiple sources.
• Expecting instant results. Realistic timeline for meaningful results — 2-3 months of systematic work, not a week.
• Working without measurements. Without regular monitoring, it's impossible to understand which actions produce results. Daily monitoring allows you to identify working tactics significantly faster.
• Ignoring negativity. AI aims to give safe recommendations and may exclude a brand with significant negative volume from lists.

Checklist: GEO Optimization Readiness

Audit:

• Checked brand visibility in at least 5 AI providers
• Established baseline: Mention Rate, position, Share of Voice
• Identified 5-7 competitors in AI responses
• Conducted content and external presence audit

E-E-A-T:

• Every article has an author with verified expertise
• At least 5 case studies with measurable results
• About page contains specific facts
• Real client testimonials are posted

Structure:

• Schema.org markup on key pages
• FAQ sections on product pages
• Headings answer customer questions
• Comparison tables and structured data present

Sources:

• Brand present in at least 3 industry rankings
• At least 2 expert publications on external platforms
• Review site profiles are filled and current
• Publications planned for next month

Monitoring:

• Regular visibility monitoring set up
• KPIs and target values defined for 3 months
• Weekly data analysis process in place
• Iteration cycle planned: analysis → actions → measurement

Conclusion

Getting into neural network recommendations isn't magic or a lottery. It's the result of systematic work in five directions: audit, E-E-A-T, content structure, external sources, and monitoring.

Brands that start GEO optimization now gain a serious advantage — competition for positions in AI responses is still significantly lower than in classic SEO.

Start with step 1 — the audit can be done in one day. The free GEO Scout plan (3 prompts across 3 neural networks, no credit card) will give you an initial understanding of the current situation in minutes. Then — move through the steps, measure results, and iterate.