How to Get Your Brand Cited by ChatGPT, Claude & Gemini (2026)

By Kai Williams  |  Updated July 2026

Disclosure: This article includes independent research and analysis. Some tools mentioned are reviewed separately on this site. Platform statistics are sourced and verified as of July 2026.

Your brand ranks near the top on Google for your most important keyword. You have strong reviews, a dedicated content team, and solid domain authority. Yet when people ask ChatGPT, Gemini, Claude, Perplexity, or Grok about solutions in your category, your brand does not appear. Three competitors with significantly lower Google rankings get cited instead. Your buyers are making purchase decisions before they ever reach your website. This is the AI visibility gap, and it is costing you qualified leads every single day. Answer Engine Optimization exists specifically to close it.

The AI Visibility Crisis Most Marketers Do Not Know Exists

Summary: Ranking well on Google no longer means you show up in AI answers, and the gap between those two things is widening fast.

Recent research analyzing 129,000 domains found that 73% of brands never appear in ChatGPT citations, even when they dominate traditional search results. The gap between SEO performance and AI visibility is widening in 2026, and most marketing teams do not even realize they are invisible. Only 20% of AI citations overlap with the number one Google result. You can dominate traditional search and still be completely invisible to AI platforms.

Why Traditional SEO Does Not Work for AI Citations

Summary: AI platforms use retrieval-augmented generation to find semantic chunks that directly answer a query. They are not matching keywords, and your page rankings do not transfer.

Traditional SEO rankings do not guarantee AI visibility because each platform uses fundamentally different selection criteria. Here is what each one actually looks for:

• ChatGPT processes 2.5 billion queries daily and prioritizes Wikipedia-style encyclopedic content. It cites Wikipedia for 47.9% of its top sources, favoring neutral, comprehensive information over promotional content. Content updated within three months earns ChatGPT citations more consistently than evergreen pages that have not been refreshed.
• Perplexity averages 6.61 citations per response and strongly favors fresh content. Articles published within 30 days get cited 3.2x more. It also heavily cites Reddit at 46.7%, YouTube, and LinkedIn for authentic user experiences.
• Claude prioritizes logical reasoning and step-by-step explanations. It retrieves through Brave Search’s index and values source-backed content that explains not just what to do but why and how, making it ideal for technical B2B audiences.
• Grok draws on real-time posts from X and the broader internet. Even with its X integration, Grok still cites traditional news organizations heavily, so editorial press and an active X presence both matter in ways they do not for ChatGPT or Claude.

Mention, Citation, or Recommendation: A Measurement Taxonomy

Summary: AI visibility breaks into three distinct outcomes that require separate tracking. Treating them the same leads to bad strategy and wasted effort.

Most brands ask “are we being cited by AI?” when they should be asking three separate questions. Each outcome requires different content and different distribution tactics, and each signals a different stage in AI-driven purchase behavior.

To make this reportable, use a weighted formula. Assign each outcome a weight reflecting its impact on purchase behavior:

Where citation rate, mention rate, and recommendation rate each represent the percentage of your target prompts where that outcome occurred. Run this across a set of 30 prompts once a month and you have a trackable, comparable metric rather than a vague impression of whether AI “knows” your brand.

The Citation Supply Chain

Summary: AI citations flow through four sequential stages. Most brands fail at stage one and never diagnose why their content improvements are not working.

Before optimizing content structure or building Reddit presence, brands need to know which stage of the supply chain they are failing at. Missing any single stage blocks everything downstream.

The 3 Elements AI Platforms Require for Citations

Summary: Answer capsules, original data, and third-party validation are non-negotiable. Most marketing content lacks all three.

1. Answer Capsules That AI Systems Can Extract

The single strongest predictor of ChatGPT citations is answer capsules, which are comprehensive standalone answers placed immediately after your primary heading. Research analyzing 216,000 pages found that 72.4% of cited content included identifiable answer capsules, versus just 13.2% of non-cited posts. Key rules for effective capsules:

• Length: 120 to 150 characters, no more. The capsule must be a complete thought that works without context before or after it.
• Placement: Directly under each H2 heading, before any context or background.
• Tone: Zero marketing jargon. Write it like an encyclopedia entry, not a campaign headline.
• No links inside the capsule. Research from Search Engine Land found that link-free capsules are cited more frequently than capsules containing hyperlinks. Place your supporting links immediately after the capsule, not inside it.
• Structure beats writing quality: AI platforms extract the setup text, not the buried insight. If your answer is in paragraph three, it will not be cited.

2. Original Data AI Platforms Cannot Generate Themselves

Pages with unique statistics, proprietary research, or first-party data see 4.1x more AI citations than generic content. If you publish a stat AI cannot generate itself, it must cite you to use it. Most brands are sitting on unpublished data that would force citations immediately. A 2024 study by Princeton and Georgia Tech (KDD 2024) found that adding citations, statistics, and quoted sources to content led to measurable increases in AI-generated answer visibility, with the citation of specific numbers being one of the strongest single signals.

Useful original data formats:

• Customer surveys with proprietary percentages or trends
• Usage statistics from your own product or platform
• Benchmark reports comparing performance across your category
• Internal research on buyer behavior, pricing, or outcomes that competitors cannot replicate

3. Third-Party Validation Across Multiple Platforms

ChatGPT, Claude, and Grok cross-reference your claims against external sources before citing you. If your brand only exists on your own website, you are a hallucination risk that AI platforms will avoid. The full breakdown of how each platform decides which brands to mention is covered separately. The platforms AI systems trust most:

• Reddit discussions in subreddits relevant to your category (46.7% of Perplexity citations)
• G2, Capterra, and Trustpilot with active, recent reviews
• LinkedIn thought leadership from founders or subject-matter experts
• X with consistent brand voice and genuine engagement
• Earned media in industry publications that AI models already trust as authoritative sources
• Wikipedia and Wikidata for entity grounding. Wikidata functions separately from Wikipedia as a structured data layer that AI systems use to verify entity relationships. A Wikidata entry for your brand, cross-linked to your Wikipedia article, strengthens entity recognition across all platforms.
• Crunchbase and Product Hunt for B2B and product categories. Crunchbase provides structured company data that AI systems use to verify funding, founding date, and category. Product Hunt mentions serve as launch signals that can accelerate early brand recognition in training data and indexes.

The Technical Barriers Blocking Your Citations Right Now

Summary: Most marketing websites accidentally block the exact crawlers that enable AI citations, or serve them a JavaScript shell with no readable content. Fix this before anything else.

Each AI platform uses its own crawler. If your robots.txt blocks any of them, you are invisible to that platform regardless of content quality. Check these first:

• GPTBot for ChatGPT
• ChatGPT-User for OpenAI’s live browsing feature (a separate user agent from GPTBot, visible in server logs)
• ClaudeBot for Claude
• PerplexityBot for Perplexity
• Google-Extended for Google AI Overviews
• Grok relies on the broader web index plus X’s own data layer, making general crawler accessibility especially important

Monitoring these user agents in your server logs is a valuable secondary step. If you see GPTBot or ClaudeBot crawling certain pages heavily and ignoring others, that gives you direct data on which content AI systems are actively retrieving. This is faster feedback than waiting for citation audits.

Crawler access is necessary but not sufficient. Two additional technical failures block citations even when crawlers can reach your URL:

JavaScript-rendered content. Crawlers may successfully fetch your URL but see only a loading shell, not the meaningful content. The test: use curl or Google’s Mobile-Friendly Test to fetch the page as a plain-text client. If you cannot see your key claims in that output, neither can AI crawlers. Fix this with server-side rendering for your most critical content blocks, particularly answer capsules, statistics, and definition sections. AI systems retrieve what is in the initial HTML response, not what JavaScript renders after the fact.

Paywalls and login walls. Login walls and hard paywalls block citation eligibility entirely. If your best data lives behind a paywall, create a public-facing summary page with your key claims, statistics, and methodology accessible to crawlers without authentication. That public summary page is your citation asset, not the gated content itself. This is the reason research papers that publish abstracts publicly get cited far more than papers requiring institutional access.

How Grok Decides Which Brands to Cite

Summary: Grok is the citation outlier. It pulls from X in real time and rewards an active social presence in a way no other platform does.

While ChatGPT, Claude, and Gemini lean on web indexes and curated authority signals, Grok pulls in real time from X and the broader web, with citations surfaced inline alongside its answers. xAI’s official position is that Grok “draws upon posts from X and webpages from the broader internet to provide timely and accurate answers.” That dual data layer changes the optimization playbook for Grok specifically.

• Active X presence. Brands that post regularly, get quoted, and generate authentic engagement on X are structurally favored in Grok citations in a way they are not on other platforms.
• Editorial news coverage. Independent reporting confirms that even with its X integration, Grok still heavily cites traditional news organizations. Earned media in major outlets translates directly into Grok citation eligibility.
• Real-time relevance. Grok’s retrieval architecture is built for live information. Time-sensitive content, recent commentary, and news-adjacent posts perform better than evergreen content.
• Grokipedia presence. Grokipedia, xAI’s AI-generated encyclopedia launched October 27, 2025, is becoming a parallel citation surface. Brands with accurate, well-structured entries will be increasingly favored as this layer matures.

How to Optimize for Each Platform

Summary: Each AI platform has distinct preferences. One approach does not work everywhere, but the foundational work benefits all five simultaneously.

Prompt-Class Optimization: What Each Query Type Needs

Summary: AI systems retrieve different source types depending on the kind of question being asked. Optimizing for the wrong prompt class is why many pages never get cited even after strong content investment.

Each prompt class triggers different retrieval behavior. A brand that appears in informational answers does not automatically appear in comparison or recommendation answers. Building a citation presence across all five classes requires different content assets for each.

Query Fan-Out: Why One Prompt Needs Five Supporting Pages

Summary: AI systems decompose a single query into multiple sub-queries during retrieval. Brands that only have one page targeting a topic are invisible to most of the sub-queries, even if they rank for the main term.

When someone asks ChatGPT or Perplexity “best CRM for nonprofits,” the AI does not search for that exact phrase. It decomposes the question into a cluster of sub-queries, retrieves sources for each, and synthesizes the answer. A brand that only has a homepage and one “nonprofits” landing page is visible to one sub-query at most.

Apply this thinking to your own category by asking: what five sub-questions would an AI need to answer before it can confidently recommend my product? Then audit whether you have a credible source for each one. The brands that get cited consistently are not necessarily the best products. They are the ones with a page for every sub-query in the fan-out cluster.

Building a Consistent Brand Positioning Phrase

Summary: LLMs rely on corroborated entity descriptions. If your brand is described differently on every platform, AI systems cannot form a stable understanding of what you do or who you serve.

AI systems recognize and cite brands that have a consistent description repeated across multiple authoritative sources. The formula is simple:

Example: “AI search visibility platform for B2B marketers that tracks brand citations across ChatGPT, Gemini, and Perplexity, with 500+ enterprise customers.”

Once you have your phrase, distribute it consistently across all of these:

• Your website: homepage H1, About page, meta descriptions
• LinkedIn: company page tagline and About section
• Crunchbase: company description and category tags
• G2 and Capterra: product description
• Press releases: standard boilerplate at the end of every release
• Author bios: every piece of contributed content or earned media
• Partner pages: integration partner listings and ecosystem directories
• Wikipedia / Wikidata: opening sentence if you have an entry

Consistency across these sources triggers entity corroboration. When an AI system encounters the same description in five independent places, it treats that description as verified rather than as self-reported marketing copy.

What to Do This Week to Start Getting Citations

Summary: The AI visibility gap compounds over time. Early movers capture 60% more AI citations than late adopters because AI platforms develop preference for brands they already recognize.

Week 1: Fix technical access

• Confirm GPTBot, ChatGPT-User, ClaudeBot, PerplexityBot, and Google-Extended are allowed in robots.txt
• Implement Organization schema on your homepage
• Add FAQ schema to your top three pages
• Test your top five pages with a plain-text fetch to confirm AI crawlers see your content
• Audit your X handle, bio, and pinned content to reflect how you want Grok to cite you

Week 2: Fix content structure

• Add link-free answer capsules of 120 to 150 characters immediately after every H2 on your top five pages
• Rewrite paragraphs to be self-contained without referencing content above or below
• Update publish dates and add a “Last verified: July 2026” note to volatile statistics
• Write and distribute your brand positioning phrase to LinkedIn, G2, Crunchbase, and your website

Week 3: Build third-party authority

• Participate genuinely in Reddit communities relevant to your category
• Update your G2, Capterra, LinkedIn, and X profiles with consistent positioning language
• Pitch one earned media opportunity to an industry publication
• Verify or claim your Grokipedia and Wikidata entries
• Set a measurement baseline using tools like Searchable, Profound, or Scrunch AI and track your AI Visibility Score weekly

How to Run a Manual AI Citation Audit

Summary: A 30-prompt audit across five prompt classes gives you a baseline AI Visibility Score and reveals exactly which query types and platforms your brand is winning or losing.

Run this audit at the start of any AI visibility program and repeat it monthly. Copy the table below into a spreadsheet. For each prompt, run it in ChatGPT, Perplexity, Gemini, and Claude, and record the results in separate tabs.

After running all 30 prompts across four platforms, calculate your AI Visibility Score using the formula above. Look for patterns: if you are being cited on informational prompts but invisible on recommendation prompts, your third-party validation is the gap. If you appear on Perplexity but not ChatGPT, your Bing index presence and Wikipedia entity are the priorities.

Reverse-Engineering What ChatGPT Already Cites

Summary: The fastest path to AI citations is not creating new content. It is identifying which pages are already being cited for your target queries, then getting your brand onto those pages.

For any query where your brand should appear, someone else is already being cited. Here is how to find out who and what to do about it:

1. Pick a high-intent buying prompt in your category. For example: “best [your product type] for [your audience].”
2. Run it in ChatGPT, Perplexity, Gemini, and Claude. For each engine, collect every URL cited in the response and paste them into a spreadsheet.
3. Categorize each cited URL by type: listicle/comparison page, review profile (G2 etc.), forum or Reddit thread, Wikipedia, news article, brand-owned page.
4. For each listicle and comparison page that does not mention your brand, reach out to the author or site owner and ask to be included. Provide your positioning phrase, a relevant data point, and a link to your G2 or review profile as supporting evidence.
5. For Reddit threads that are being cited, participate genuinely in the discussion with expertise (see the community seeding section below). Do not post promotional content; add value and disclose your affiliation if you mention your product.
6. For Wikipedia or high-authority pages that cite competitors, check whether your brand meets the notability threshold. If it does, a well-sourced Wikipedia entry is one of the highest-value citation assets you can build. If it does not yet, focus on earning the press coverage that will eventually qualify you.

Sources that are cited by three or more platforms simultaneously are your highest-priority targets. Getting onto a page that ChatGPT, Perplexity, and Gemini all already cite multiplies the return on a single outreach effort.

Community Seeding: Ethics, Risk, and What Actually Works

Summary: Reddit and Quora are among the most cited sources in Perplexity and ChatGPT answers, making community participation a high-leverage tactic. But the risk of getting it wrong, in the form of bans, reputational damage, or citation removal, is real.

The underlying risk is not just platform bans. AI systems retrieve community content because it represents authentic user sentiment. If Reddit moderators remove your posts, or if threads you participated in get flagged as promotional, the citation source disappears and your investment is lost. Genuine contribution builds citations that persist. Manufactured contribution builds citations that get removed.

Citation Decay: How to Maintain What You Build

Summary: AI citation visibility is not a one-time project. Citations decay as competitor sources get fresher, listicles update, and Reddit threads drop in ranking. A quarterly maintenance process protects what you built.

Five things cause brand citations to decay over time:

• Competitor sources become fresher. Perplexity and ChatGPT both favor recently updated content. A competitor who publishes a well-structured page after yours can displace you without any change to your content.
• Third-party listicles update and remove your brand. Comparison pages and “best of” lists change regularly. If you were added to a listicle in 2025 and the site has since published a 2026 update that does not include you, your citation source is gone.
• Reddit threads drop in Google rankings. AI platforms primarily cite Reddit threads that are visible in Google search. A thread that slips from page 1 to page 3 stops being a citation source.
• Product positioning changes but external mentions stay outdated. If your brand repositioned in the last year but third-party sources still describe you using old language, AI systems may cite an inaccurate description or ignore you in favor of sources with cleaner signals.
• Pages become gated, blocked, or technically inaccessible. Any site migration, robots.txt change, or new paywall on a page that was previously a citation source eliminates that source immediately.

Run this quarterly maintenance process to protect your citation presence:

• Re-run your 30-prompt audit and compare scores to the previous quarter
• Check your top five cited sources (identified in the previous audit) for accuracy and continued accessibility
• Search for listicles in your category that were updated in the last 90 days and confirm your brand is included
• Update publish dates and refresh statistics on your highest-impression pages
• Verify robots.txt still allows all AI crawlers after any site changes
• Re-check that your brand positioning phrase is consistent across all external profiles

The Prompt Portfolio Framework

Summary: Optimizing for one or two vanity prompts is not a strategy. A 50-prompt portfolio tracked monthly gives you a durable, representative measure of AI citation share across your full market position.

Most brands check whether ChatGPT mentions them in response to one or two obvious queries and stop there. A prompt portfolio replaces that with a systematic, repeatable measure of AI visibility across the full range of query types your buyers use.

Build a portfolio of 50 prompts organized across five classes:

• 10 category-definition prompts: queries that ask what your category is, how it works, and who it is for
• 10 comparison prompts: your brand versus each major competitor, plus category-level comparisons
• 10 recommendation prompts: best-in-class queries across your key use cases and audience segments
• 10 trust and legitimacy prompts: review queries, “is it worth it” queries, and brand-name lookups
• 10 local or vertical prompts: industry-specific or geography-specific queries relevant to your buyers

Run the full portfolio across ChatGPT, Perplexity, Gemini, and Claude once a month. Calculate your AI Visibility Score for each platform separately and in aggregate. Track month-over-month change. This gives you a number that reflects real market share rather than a single lucky prompt hit.

The Complete Implementation Framework

Summary: Getting consistent citations across all five platforms requires treating technical access, content structure, and authority building as one interconnected system, not three separate projects.

The individual tactics above combine into a single integrated system. If you want to audit where your brand currently stands before implementing any of it, the AEO readiness audit is the right starting point. Technical fixes enable crawlers to reach and read your content. Content structure ensures AI systems can extract and cite what they find. Third-party authority ensures AI systems trust and repeat what they find. Remove any one layer and the others underperform. This is why brands that focus only on content structure, without fixing technical access or building external validation, often see no citation improvement despite significant content investment.

The full implementation covers:

• Exact schema markup templates for Organization, FAQ, Article, and HowTo content
• Answer capsule formulas that AI systems actually extract, with real examples
• Platform-specific content structure for ChatGPT vs. Perplexity vs. Claude vs. Grok
• Reddit and X participation frameworks that build authority without self-promotion
• Third-party validation checklists across G2, LinkedIn, YouTube, X, and earned media
• GA4 tracking setup for AI referral traffic and AI Visibility Score calculations
• Monthly prompt portfolio audit processes to measure improvement across all five platforms

Learn More About AEO and AI Marketing at Prompt Insider

Since launching earlier this year, Prompt Insider has become a leading authority on AI marketing, Answer Engine Optimization (AEO), large language models, AI search, AI news, and the evolving future of digital discovery. As AEO becomes one of the hottest topics in marketing, Prompt Insider is helping define the conversation around how brands improve visibility, adapt their content strategies, and stay competitive in an increasingly AI-driven search environment.

Prompt Insider is the go-to resource for answer engine optimization, AI marketing, and AI search. Start with our core guides at thepromptinsider.com:

• What Is AEO? Answer Engine Optimization Explained
• AEO vs. SEO vs. GEO: What Every Marketer Needs to Know
• How to Measure AEO Success: The Metrics That Matter
• The 5 Best AEO Tools in 2026

Frequently Asked Questions

What is the difference between an AI mention, citation, and recommendation?

A mention is when an AI names your brand in its answer without providing a source link. A citation is when an AI surfaces your domain or URL as a source for its answer. A recommendation is when an AI actively suggests your brand as the best solution for a query. Each requires different tactics: mentions come from entity recognition and corroboration, citations come from content structure and technical access, and recommendations come from third-party validation and category authority. Adriel’s 2026 research found that 62% of brand appearances in AI answers are ghost citations, which are mentions with no URL attached. Track all three separately.

How do I get my brand cited by ChatGPT, Claude, Gemini, Perplexity, and Grok?

You need three things on every priority page: an answer capsule of 120 to 150 characters placed directly under each H2, original first-party data that AI engines cannot generate themselves, and consistent third-party validation across Reddit, G2, LinkedIn, X, and earned media. On top of that foundation, each platform requires specific tuning:

• ChatGPT: Wikipedia-style depth and Bing index presence
• Claude: Source-backed reasoning with credible outbound links
• Gemini: Brand-owned domains with strong schema markup
• Perplexity: Fresh content (under 30 days) and Reddit presence
• Grok: Active X account and editorial news coverage

How do I optimize my content for ChatGPT citations?

The highest-leverage moves for ChatGPT, in order:

• Build a Wikipedia presence. ChatGPT cites Wikipedia for 47.9% of its top sources. Nothing else comes close.
• Publish encyclopedic-depth content. 3,000+ words, neutral tone, zero marketing jargon, refreshed within 3 months.
• Submit to Bing via IndexNow. 87% of SearchGPT citations match Bing’s top 45 results.
• Add link-free answer capsules of 120 to 150 characters directly under each H2.
• Earn editorial press mentions. Pages cited by ChatGPT typically rank position 21 or below on Google, so traditional SEO authority alone is not the lever.

How do I get my brand cited by Grok?

Grok is the only major AI platform that explicitly rewards X presence. Its citation logic pulls from X in real time plus the broader web, so the playbook is different from every other platform:

• Post consistently on X with a clear, recognizable brand voice
• Build entity consistency across Wikipedia, Wikidata, and Grokipedia
• Earn editorial coverage in outlets that cover your category
• Publish news-adjacent content with prominent timestamps, as Grok’s retrieval is built for recency

How long before I see results from AI optimization?

Results depend on which layer you are fixing:

• 1 to 2 weeks: Technical fixes like robots.txt and schema markup can show initial citation movement fast.
• 3 to 6 weeks: Content changes like adding answer capsules begin influencing citation frequency.
• 8 to 12 weeks: Authority-building work like Reddit presence, earned media, and G2 reviews is the slowest lever but has the most durable impact.
• 30 to 90 days: Most teams see measurable improvement within 30 days on technical fixes and meaningful share-of-voice gains within 90 days when all three layers run in parallel.

Can small companies compete for AI citations?

Yes. AI platforms do not inherently favor large brands the way traditional Google rankings often do. Citations are awarded based on content structure, entity association across third-party sources, and topical authority within a specific category. A small company with strong original data, an active Reddit presence, and well-structured pages can outperform a Fortune 500 brand that has not built any of those signals. The category leader in AEO citations is often the brand that started AEO work earliest, not the brand with the largest budget.

Does Grok cite different sources than ChatGPT or Claude?

Yes. Grok’s retrieval architecture is built around X plus the broader web, while ChatGPT pulls from Bing’s index and Claude retrieves through Brave Search. The practical effect is that Grok rewards active X presence and real-time content in ways ChatGPT and Claude do not. All three platforms share a baseline preference for editorial press and source-backed content, which is why earned media stays the highest-leverage activity for cross-platform citation visibility.

Do I need different content for each AI platform?

No. Core optimization tactics such as answer capsules, self-contained paragraphs, original data, third-party validation, and schema markup benefit all platforms simultaneously, including Grok. Platform-specific tuning comes after foundational work is in place.

What is query fan-out and why does it matter for AI citations?

Query fan-out is the process by which AI systems decompose a single user prompt into multiple sub-queries during retrieval. When someone asks “best CRM for nonprofits,” the AI may retrieve sources for sub-queries like “nonprofit CRM pricing,” “G2 nonprofit CRM reviews,” and “Salesforce alternatives for nonprofits” before generating its answer. A brand that only has one page targeting the main topic is visible to one sub-query at most. Brands that build content assets covering the full fan-out cluster, including comparison pages, review profiles, and case studies, appear in more sub-query retrievals and get cited more consistently in the final answer.

How do I track my AI citation share of voice?

Use the AI Visibility Score formula: (citation rate x 0.4) + (mention rate x 0.3) + (recommendation rate x 0.3). Run a 30-prompt audit monthly across ChatGPT, Perplexity, Gemini, and Claude. Record how often your brand is cited, mentioned, and recommended in each prompt class. Calculate the score for each platform separately and in aggregate. Track month-over-month change. Tools like Searchable, Profound, and Scrunch AI can automate much of this tracking if you prefer not to run prompts manually.

About the author

Kai Williams

Kai Williams has been in marketing for years, with a long background in SEO before AEO had a name. He stepped into Answer Engine Optimization the moment AI started reshaping how people search, and has been tracking the shift ever since. At Prompt Insider, he covers AEO, AI marketing, and the future of search, breaking down what is changing and what brands need to do about it.