How to Get ChatGPT to Recommend Your Business

AI tools like ChatGPT now influence how people discover, compare, and choose businesses. When someone asks an AI, “Who’s the best plumber near me?” or “Which agency can help with AI SEO?”, you want your brand in the short list—with a credible reason to click. The good news: showing up in AI recommendations isn’t luck. It’s a repeatable strategy that blends authority-building, structured content, local trust signals, and reputation management.

ChatGPT answers come from two places:

1) Its pre‑trained knowledge (a snapshot of public web content from training).

2) Live web access where enabled (e.g., Browse/Bing integration), which lets ChatGPT consult current, authoritative sources and include citations. [1][2][3]

Modern AI systems increasingly combine internal knowledge with external retrieval (“RAG”) so answers can cite fresh, domain‑specific content and reduce hallucinations. This favors brands with clear, crawlable facts, consistent signals, structured data, and third‑party validation—all of which are easier to retrieve and summarize. [4][5]

While ChatGPT doesn’t “trust” like a human, it weights evidence. Make the following easy to find and consistent across the web:

• Accurate NAP (Name, Address, Phone) everywhere—your website, Google Business Profile, and major directories—so AI (and search engines) see one canonical identity. Inconsistencies can dilute confidence and visibility. [6][7]
• Google Business Profile completeness and activity—verified listing, accurate hours, up‑to‑date photos, and prompt review responses—to strengthen local prominence. [8]
• Structured data (schema markup) to label your business, services, reviews, FAQs, and articles so machines understand and reuse your facts. [9]
• E‑E‑A‑T cues (Experience, Expertise, Authoritativeness, Trust)—clear sourcing, expert bios, transparent contact details, and a great page experience—aligning with Google’s quality guidance that also benefits AI retrieval. [10]
• Reviews and owner responses—volume, recency, and thoughtful replies are strong social proof and correlate with consumer choice. [11][12]

Action with DMSPrism:

• Implement foundational SEO services (technical cleanup, content improvements, crawlability).

• Add Local SEO (GBP optimization, NAP auditing, local citations).

• Deploy AI SEO (schema, FAQ scaffolding, and retrieval‑friendly content).

1) Publish Substantial, People‑First Content

Create deep, original pages that demonstrate expertise and answer real user questions. Google’s guidance stresses helpful, reliable content with clear sourcing—principles that also make your pages easier for LLMs to quote and summarize. [10]

What to do

• Create long‑form guides, service pages, and how‑tos that stand alone as definitive answers.
• Add author bios with credentials, dates, and sources.
• Use FAQ blocks on key pages to mirror conversational queries (“How much does X cost?”, “Is Y right for me?”). FAQs are highly reusable by AI and voice. (Mark them up with FAQPage schema.) [9]

Action with DMS Prism: Let Content Marketing plan and publish expert‑led guides plus structured FAQs across your priority services.

2) Structure Your Content for Machines

Use descriptive H1/H2s, internal linking, and schema markup (Organization, LocalBusiness, Service, Product, FAQPage, Review). Structured data helps search engines understand your entities and enables rich results that AIs can more reliably pull from. [9][13]

3) Show Real‑World Proof

Feature case studies, testimonials, certifications, awards, media mentions, and team credentials to strengthen E‑E‑A‑T—signals that help both Google and AI assistants judge credibility. [10]

Action with DMSPrism: Our SEO services include schema implementation and internal linking strategies designed for AI retrieval and rich results.

If you serve a geographic area, local signals decide whether you’re included when someone asks an AI for nearby options.

Priorities

• Claim and verify Google Business Profile (GBP), complete every field, add photos, and keep holiday hours current. Respond to reviews promptly. [8]
• NAP accuracy across directories (industry sites, maps, social). Even small inconsistencies can fragment your presence and reduce confidence. [6]
• Location‑optimized content—city/service pages and localized FAQs answering practical, intent‑rich queries (pricing, timelines, availability). These convert well and are easy for LLMs to quote. (Use LocalBusiness/Service schema.) [9]

Action with DMSPrism: Our Local SEO program standardizes NAP, hardens GBP, and builds high‑quality local citations.

LLMs look for consistent positive chatter and owner engagement across the web.

• Encourage reviews on Google and relevant verticals. Consumers consult multiple sites; recency and response rate influence trust. [11][14]
• Respond to every review (positive and critical) within a few days; platforms and consumers reward responsiveness. [12]
• Earn third‑party mentions (local media, niche blogs, associations). Authoritative backlinks improve discoverability and confidence. [15]

Action with DMSPrism: Fold review generation and response workflows into Digital Marketing campaigns for ongoing social proof.

1) Build robust FAQ hubs per service and city. Keep answers succinct (50–150 words), link to deeper resources, and mark up with FAQPage schema. [9]

2) Write conversationally—use natural question forms and plain language so models can match user phrasing. (Also aligns with Google’s people‑first content guidance.) [10]

3) Publish evergreen “how‑to” and comparison guides (e.g., “X vs. Y,” “Cost of Z in 2025”) that AIs like to summarize. Add tables, steps, and bullets for machine readability. [10]

4) Cite sources in your content where applicable; LLMs are more likely to surface pages that contain verifiable claims. RAG workflows favor pages with clear references. [4]

Action with DMSPrism: Our AI SEO service builds FAQ architectures, adds schema, and adapts your library for AI retrieval.

• Site speed, clean HTML, and logical headings—basic, but they improve crawlability and extraction.
• Schema across entities—Organization, LocalBusiness, Service, BreadcrumbList, FAQPage, Review, Product, HowTo, and Article. These unlock rich results and clearer machine interpretation. [9]
• Internal links that map services to problems and industries.
• Transparent About + Contact pages (address, phone, founders, awards, press). These reinforce trust (E‑E‑A‑T). [10]

Action with DMSPrism: Technical and on‑page SEO services to implement schema, tidy IA, and improve performance.

Track indicators that correlate with being recommended:

• Organic visibility & rich results in Search Console (look for FAQ, Review, HowTo enhancements). Structured data is the enabler. [9]
• Local metrics: GBP views, queries, and direction calls; review count/recency; response time. [8]
• Reputation: Review volume, average rating, reply rate, and third‑party mentions. Consumer research shows responsiveness influences choice. [11][12]
• Content KPIs: FAQ impressions, guide engagement, and referral traffic from earned media (authority mentions). [15]

AI assistants increasingly browse and cite sources, pulling from structured, trusted pages and up‑to‑date profiles. Brands that maintain accurate facts, strong schema, consistent local signals, and an active review ecosystem will surface more often—and more credibly—in AI answers. [1][9][11]

Week 1: Foundation

• Audit NAP across site, GBP, and top directories; correct inconsistencies. [6]
• Verify/optimize GBP; add photos, services, and holiday hours. [8]
• Prioritize service pages to expand with people‑first content. [10]

Week 2: Structure

• Implement Organization, LocalBusiness, and Service schema; add FAQPage to top 5 service pages. [9]
• Build internal links connecting FAQs → service pages → case studies.

Week 3: Reputation

• Launch review request flows post‑purchase; set a 72‑hour response SLA for all reviews. [12][11]
• Pitch 3–5 industry publications or local media with a data point or case study to earn authoritative mentions. [15]

Week 4: AI‑Ready Content

• Publish 2 evergreen guides and 10–20 FAQ entries answering common, high‑intent questions. [10]
• Measure rich results, GBP metrics, and review velocity; iterate.

Need hands‑on help?

• Strategy & implementation: SEO Services

• Local prominence & reviews: Local SEO

• Content engines & FAQs: Content Marketing

• AI‑ready structure & retrieval: AI SEO

• Omnichannel promotion: Digital Marketing

Q: Can I “submit” my business directly to ChatGPT?

A: No. There’s no submission portal. ChatGPT draws on public web content, structured data, profiles (like GBP), and—when browsing is enabled—current sources it can cite. Your best lever is building strong, verifiable signals that are easy to retrieve and summarize (schema, GBP, reviews, and authoritative mentions). [1][9][8]

Q: How is “AI SEO” different from traditional SEO?

A: Traditional SEO aims for rankings; AI SEO aims to be quoted or recommended by assistants. That means investing in structured data, E‑E‑A‑T signals, FAQs, and reputation, plus content that’s concise, accurate, and easy to cite. [9][10]

Q: Does my Google Business Profile really matter for AI visibility?

A: Yes—completeness, accuracy, recency, and review engagement all strengthen your local presence and the “evidence” AI can use when recommending you. [8]

Q: What content formats do AI tools prefer?

A: Short, clear answers (FAQs), step‑by‑steps (HowTo), comparisons, and well‑structured guides with schema. These are easy for models to retrieve and summarize accurately. [9]

Q: Do online reviews really influence AI recommendations?

A: Strongly. Consumer behavior data shows reviews and owner responses impact trust and choices, and those signals are easy for AI systems to aggregate and summarize. [11][12]