How to get ChatGPT, Perplexity, and Google AI to recommend and sell your fine jewelry

Your fine jewelry store ranks #1 on Google for the queries that matter most to your category. Now type those same queries into ChatGPT, Perplexity, or Google’s AI Overview. Read the answer. Count how many times your brand is mentioned.

For most fine jewelers reading this: zero.

That gap is called answer engine optimization, and it is the most under-priced opportunity in the category right now. The buyers haven’t gone anywhere. The Bain 2025 Luxury Study still puts jewelry at 4 to 6% growth, the leading category in luxury. What has changed is where they’re starting their research. They are asking ChatGPT to compare engagement rings. They are asking Perplexity which brand makes the best signet ring. They are asking Gemini which jewelers in their city do custom design. (Yes, those exact prompts are in the wild. We have the data. By the way, if you want top-notch marketing services, send us an email.)

If you are not in the answers AI engines return, you are invisible to a fast-growing share of high-intent shoppers. And whether you like it or not, AI is growing fast and exponentially, and you are not showing up on the AI platforms in front of potential customers when you should be.

This is part three of our 2026 fine-jewelry growth series. Part one was the high-LTV advertising playbook. Part two was the first 30 days of a fine-jewelry Meta ad account. This one is AEO for jewelers: how to get cited, recommended, and (if you’re on Shopify) actually sold inside ChatGPT and Perplexity.

IYour jewelry store ranks #1 on Google. Type the same query into ChatGPT and you don’t exist.

We have a client who ranks #1 on Google for the exact queries that matter most to their category. They have earned that rank. The on-page is clean, the backlinks are real, the content is theirs.

We typed the same queries into ChatGPT. Then Perplexity. Then Google’s own AI Overview at the top of the search results page. The brand was not mentioned a single time. Their competitors were. Their competitors who they out-rank on the blue links. The buyer reads the AI answer, gets pointed at the wrong brand, and never sees the better option.

This is not a one-off. We have run the same test on dozens of fine jewelers in 2026 to date. The pattern is consistent: a brand can be Google-dominant in their trade area and still be entirely absent from AI-engine answers about that same category. The mechanic that produces the Google rank and the mechanic that produces the AI citation are not the same mechanic, and a website built only for the first one stays invisible on the second.

Here is the historical analogy that should be keeping fine jewelers up at night. In the late 1990s, the jewelry stores that put up a website first were laughed at by competitors who didn’t believe the internet was for high-consideration purchases like an engagement ring. By 2005, the laughing had stopped. Today, every serious jeweler has a website. The shift from print and word-of-mouth to web search took about a decade. The shift from web search to AI search is happening in 2026 at the same scale and faster. The bar is still low because the category is slow to adapt. The window for being the first jeweler in your trade area to be the cited brand in ChatGPT answers is open right now, and it closes a little more every quarter.

If you are on Shopify, you have a structural advantage we will get to in section IV that almost no jeweler in the category is using.

IIAEO is not SEO. Treating them the same is the most expensive mistake a fine jeweler can make in 2026.

There is a tier of agency blog post being published right now that goes something like this: “AEO is the new SEO! Add FAQ schema, write more content, and you’ll show up in ChatGPT.” That advice is wrong, it is wrong in a specific way, and the wrongness costs the jewelers who follow it real money.

Search engine optimization is about being ranked. Google looks at the entire web, builds an index, scores each page on a long list of signals (backlinks, content depth, freshness, technical health), and serves you a ranked list of ten blue links when you search. The buyer clicks one. Your job is to be in those ten and ideally near the top.

Answer engine optimization is about being cited. ChatGPT, Perplexity, and Google’s AI Overview do not return a list of links. They return an answer. The answer is composed by a language model that has been given a small set of relevant documents at the moment of the query (this is called retrieval-augmented generation, or RAG, and the foundational research paper was published by Lewis et al. in 2020). The model reads those documents, synthesizes them into a paragraph, and cites the sources it pulled from. Your job is not to be in a top-ten list. Your job is to be one of the documents the model pulls from, and one of the entities the model decides is worth crediting in the final answer.

Those two jobs share some plumbing. Both want your site to be technically crawlable. Both want your content to be original and accurate. Both reward authority signals. But the optimization mechanics diverge sharply once you go past the basics:

• SEO rewards keyword targeting and rankable page structures. AEO rewards clean, factual, citable passages that can be lifted into an answer.
• SEO rewards backlinks as votes of authority. AEO rewards entity signals (sameAs properties, verified founder identity, structured cross-references) that disambiguate who you actually are.
• SEO rewards getting one page ranked for one keyword. AEO rewards being the single most-trusted source for a category of question.
• SEO is measured in rank, traffic, and click-through-rate. AEO is measured in citation share (how often your brand is named in AI answers for the queries that matter).

As Ethan Smith reports on Lenny’s Newsletter, “ChatGPT traffic converts six times better than Google search.” The reason is simple: by the time a buyer is reading an AI answer that names your brand, they have already pre-qualified intent. They asked a specific question, the model gave them a specific recommendation, and they are clicking through to verify. That is a warmer click than any blue-link click Google has ever sent you.

Hot take. The most expensive AEO mistake a fine jeweler can make in 2026 is treating AEO as a buzzword for SEO. The AI-slop blogs telling you “just add FAQ schema and you’ll show up in ChatGPT” are written by people who do not understand the mechanism. We have audited fine jewelers who paid five-figure annual contracts to vendors running “AEO services” that consisted entirely of adding FAQ blocks to product pages. Their citation share in ChatGPT did not move. The vendor blamed the model. The model was not the problem.

If the only thing your agency is doing for “AEO” is adding schema to your pages and calling it a day, you are paying for SEO with a different label on the invoice.

IIIHow ChatGPT, Perplexity, and Google AI Overviews actually pick which fine jewelers to recommend.

Here is the mechanic in plain English. An AI engine receives a query like “what are the top fine jewelry brands for a custom engagement ring under $10,000?” It does the following:

1. Retrieves. It searches a smaller index (its own, or a partner index like Bing or Google) and pulls back a few dozen documents that seem topically relevant.
2. Reads. A language model reads those documents and extracts the facts that answer the query.
3. Composes. It writes a paragraph that synthesizes those facts into a recommendation.
4. Cites. It picks the sources whose facts were most load-bearing in that paragraph and credits them in the answer.

To get cited, you have to win at four things in this order.

Be findable in the retrieval step

This is where SEO fundamentals still matter. Your site must be technically crawlable, your important content must be on the open web (not paywalled, not behind a JS-only render), and your pages must be indexed. Google’s own 2025 guidance on AI Search makes this explicit: “There is no special schema.org structured data that you need to add for AI Overviews. There are no additional requirements to appear in AI Overviews or AI Mode.” What gets you into the regular search index is what gets you into the AI retrieval pool.

Be readable in the reading step

The model has to be able to extract clean facts from your page. If your “About” page is 300 words of vague marketing prose, the model will not find a single quotable fact about your brand. If your product page is a swiped catalog description, the model will not find anything that distinguishes you from the next jeweler with the same swipe. You need original, specific, factual language. Materials. Origins. Carat weights. Manufacturing methods. Real names and dates.

Be the canonical entity in the synthesis step

The model is choosing between you and three other brands when it composes the answer. The deciding factor is entity strength. How clearly does the model know who you are, what you do, and why you are credible? This is where sameAs schema and a real founder page do disproportionate work. If “William Endico” the operator can be cross-referenced to LinkedIn, a verified company profile, and a few independent press mentions, the model treats that as a coherent entity. If the operator is a stock photo and a first name, the model has nothing to anchor on and quietly recommends a different brand.

Be the citable source in the credit step

Models cite passages that are quotable, dense with verifiable facts, and recent. The two-paragraph mission statement on your homepage from 2019 does not get cited. A 2026 field report with original data, named sources, and clear language does.

Most fine jewelers fail at step three. They have a perfectly fine homepage, decent product pages, and zero entity coherence. The model retrieves them, reads them, then drops them in favor of a brand whose founder has a real LinkedIn, a verified press mention, and a signed bio.

The AEO-as-SEO trap diagnostic. If your agency proposed an AEO strategy that contains the words “FAQ schema” but not the words “entity disambiguation” or “founder authority”, you are paying for a stale SEO playbook with an AEO sticker on the box.

IVThe Shopify advantage almost no jeweler is using: your catalog is already plugged into ChatGPT.

Read this sentence carefully. From OpenAI’s own announcement of the Agentic Commerce Protocol:

“If you sell through Shopify, your catalog is already integrated, and no additional setup or application is required.”

That is from OpenAI’s “Buy it in ChatGPT” launch post. It is not marketing copy from a Shopify partner agency. It is OpenAI telling Shopify merchants directly: your products are already eligible to be surfaced and sold inside ChatGPT, and the integration was done at the platform level. No app to install, no extension to configure, no developer to hire.

This is a structural advantage that almost no fine jeweler is using. Glossier is in. SKIMS is in. Spanx is in. Vuori is in. Those are the early apparel names. The fine jewelry tier is wide open. Whoever is the first jeweler in their trade area to be the recommended option inside a ChatGPT engagement-ring conversation gets the version of the upside that the first Shopify jewelers got when search was new.

What “your catalog is already integrated” actually means

ChatGPT, when a user asks a product-discovery question, can pull from Shopify’s catalog feed and surface specific products in the answer. The user can compare them visually, read the details, and (in the United States) check out without leaving ChatGPT. The order routes back to the merchant via the Agentic Commerce Protocol. The merchant keeps the customer relationship, owns the data, and handles fulfillment.

The Perplexity version is also live

Perplexity launched “Shop Like a Pro” with a Buy with Pro checkout for Perplexity Pro users in the U.S. and a Perplexity Merchant Program. The program shares product specs with Perplexity, increases the chance of being recommended, integrates payments for the checkout flow, and gives the merchant a dashboard with search and shopping trend data. Sign up for it. There is no reason for a serious Shopify jeweler not to be in the Perplexity Merchant Program in 2026.

Being on Shopify is the AEO and agentic-commerce advantage almost no jeweler in the category is leveraging. Magento, custom-built stacks, and template builders do not have this. If you are on Shopify, half the work is already done for you. The other half is what we cover in section V.

VWhat to fix in your Shopify store to start showing up in AI answers.

Plain-English, Shopify-specific, do-it-yourself. There is more here than you can do in a single week, so the items are stratified by leverage and time-to-results. Work them top-down. None of them require a developer for most Shopify themes. They require an operator who knows what they are looking at and the discipline to do them in order. Which, if we are being honest about the category, is the part most jewelers do not have on staff.

Tier 1: The technical foundation (do these this week)

1. Confirm your product structured data is rendering as JSON-LD. Shopify themes have a built-in Liquid filter called structured_data that converts your product object into schema.org JSON-LD automatically. Most modern themes (Dawn, Sense, Refresh) wire this in by default. Old themes or heavily customized themes sometimes don’t. Run any product page through Google’s Rich Results Test and confirm you see a valid Product entity with name, image, price, availability, and SKU. Use JSON-LD, not the older Microdata format. AI engines parse both, but JSON-LD is cleaner for the model to extract.
2. Upgrade your Organization schema to JewelryStore. Schema.org has a specific type called JewelryStore, a subtype of Store and LocalBusiness. Most jewelers leave their schema as the generic Organization and leave the category-specificity on the table. The JewelryStore type signals to AI engines that you are a jewelry retailer specifically, not a vague business. If you have a physical location, add LocalBusiness properties (address, opening hours, phone, geo) directly to the JewelryStore block. This is a one-time edit to your theme’s schema markup and it materially improves local-trade-area citation share.
3. Submit your sitemap to Bing Webmaster Tools. Most jewelers submit to Google and stop. ChatGPT search uses Bing as part of its retrieval. Perplexity uses both. A Bing-indexed site is a Perplexity-retrievable site. Bing Webmaster Tools takes ten minutes.
4. Verify your store renders cleanly on mobile. AI engines retrieve from the mobile rendering, not the desktop one. If your product page on mobile is missing key facts that are visible on desktop (because of a hidden tab, an off-screen accordion, or a component that only renders after a click), the model sees the mobile version and your facts go uncited. Open every key page on a real phone, not Chrome DevTools simulation, and confirm everything important is visible in the rendered HTML on first paint.
5. Add an llms.txt file at your domain root. This is an emerging standard (similar to robots.txt) that lets you give AI engines structured guidance about what content on your site is canonical for which questions. It is not yet universally respected by every engine, but the engines that do read it use it as a strong signal. Being early on this is a low-cost positioning move. The format is simple Markdown; spec at llmstxt.org.

Tier 2: The entity and content layer (do these this month)

6. Use Shopify metafields to add the facts AI engines care about. Standard product fields cover title, price, and a description. AI engines reward specifics that go past the standard fields: materials (18k yellow gold, lab-grown diamond, sterling silver), carat weight, ring size range, origin country, certification (GIA, AGS), warranty terms, return policy. These go into product metafields. The Shopify admin supports them natively. Filling them in once gives the AI engine a richer document to read.
7. Write product descriptions like a knowledgeable jeweler talking to a buyer, not like an SEO consultant writing for Google. Original sentences. Materials in plain English. Why a setting matters for a specific kind of stone. What’s in the box. Where it’s made. Who made it. Length should match what the product warrants: a $99 stacking band needs less context than a $9,000 solitaire. The goal is for an AI engine to be able to lift one paragraph from your description and quote it in an answer with no edits. Image alt text matters here too. Every product photo should have descriptive alt text (not “ring1.jpg” or “engagement ring”) so the AI engine can use the alt text as supplementary context when surfacing the image in a visual answer.
8. Build a real, signed founder bio page. Not a stock photo and a paragraph. A full page with the founder’s name, photo, a few hundred words on background and conviction, a LinkedIn link, any press mentions, any certifications, any awards. Then add sameAs schema to that page connecting it to your LinkedIn company page, your Google Business profile, and any other off-site profile that confirms you exist as a real entity.
9. Build category landing pages that answer questions, not just sell products. Most Shopify jeweler stores have collection pages with a banner image and a product grid. AI engines have nothing to cite from those. Add a few hundred words of original copy at the top of each major collection page that answers the questions buyers actually ask about that category. (For “engagement rings”, that’s “what’s a good budget”, “how do you choose a setting”, “what’s the difference between mined and lab-grown”.) That copy is what gets retrieved when the model looks for an answer.
10. Add a BlogPosting schema to your blog posts, and make sure the author is the founder, not a generic admin. Founder-bylined blog posts cited by AI engines carry the founder’s entity authority back to your brand. Generic-author posts do not. This is a five-minute Shopify theme fix that compounds over years.
11. Internal-link from your blog posts to the relevant product and category pages. AI engines follow internal links during retrieval. A blog post that explains lab-grown diamonds and internally links to your lab-grown collection page tells the model that the collection page is the canonical place to land for that topic.
12. Join the Perplexity Merchant Program. It is at no cost to the merchant, it is for Shopify merchants, and it materially increases your chance of being recommended in Perplexity answers and checked out inside Perplexity. See the Perplexity Shop Like a Pro announcement for the merchant signup pathway.

Tier 3: The advanced moves (these compound over quarters)

13. Google Business Profile, fully filled out, with substantive reviews. For local-trade-area queries (“best jeweler in [city]”), AI engines pull heavily from Google Business Profile reviews. A jeweler with 80 substantive reviews that mention specific products, services, and experiences gets cited disproportionately over a jeweler with 20 thin reviews. Ask every happy buyer to leave a detailed review. Respond to every review, positive or negative, like a real human, not a template.
14. Authentic founder presence on Reddit and Quora. Perplexity cites Reddit threads constantly. ChatGPT cites Quora answers. A signed founder presence in r/EngagementRings, r/Diamonds, r/Moissanite, jewelry subreddits, and Quora, answering genuinely, not pitching, disclosing affiliation, generates third-party citation surface that competitors who delegate this to an agency cannot replicate. This is the AEO move that doesn’t scale, which is exactly why it works.
15. Earned press placements. Vogue, Robb Report, Town & Country, The Knot, WeddingWire, JCK, National Jeweler, Brides. AI engines weight named-publication citations heavily as authority signals. Most jewelers underinvest in earned media because it doesn’t have a CPA you can measure same-week. The compounding citation authority over a year is bigger than most paid channels return in the same timeframe.
16. YouTube content with clean transcripts. ChatGPT and Perplexity ingest YouTube. A founder talking on camera about craftsmanship, lab-grown vs mined, custom design process, sizing tips, anniversary upgrades, those transcripts become a separate retrieval surface that lives outside your own site. You do not need production polish. You need clarity and original perspective.
17. Original research and customer surveys. Even a 200-person survey of your email list (“of our customers who bought engagement rings, X% chose lab-grown, Y% chose halo settings, Z% upgraded within five years”) generates quotable stats AI engines love. Original data is the strongest possible citation magnet because it cannot be replicated by competitors. Publish the methodology, the sample size, and the findings as a field report.
18. Comparison and listicle content with honest competitor coverage. “Top 5 lab-grown diamond brands compared” with you included and competitors honestly described gets cited hard because the content reads like a neutral editorial review. Disclose your position openly. The disclosure is what makes the citation credible. Hidden self-promotion gets filtered; transparent self-inclusion alongside fair competitor coverage gets cited.
19. Wikipedia and Wikidata entity, if you qualify. For established brands with verifiable press coverage, a Wikipedia article or even a Wikidata entry is the strongest possible entity authority signal. It is also the hardest to earn. If your brand has been covered in named publications enough to warrant it, this is worth pursuing. If it has not been, the press placements from item 15 are the path that gets you there.
20. Annual content refresh discipline. Date-stamp every post with both the original publish date and the “last updated” date. Refresh year-old posts with new data, new examples, and an updated date. Models prefer fresher sources. A post you update annually outperforms a post you publish and forget, even if the underlying advice is the same.
21. Quarterly schema validation cadence. Themes break schema on updates. Apps inject conflicting schemas. New product types you start selling get added without their schema getting wired correctly. Run a quarterly audit of your critical pages through Google’s Rich Results Test and confirm everything still parses. This is a thirty-minute operating discipline that prevents months of silent invisibility.

If you have read this far and your reaction is “we have not done most of these”, that is the gap, and the gap is the opportunity. The category-wide average is roughly Tier 1 incomplete and Tiers 2 and 3 untouched. Closing that gap on a brand is what an AEO audit and engagement is for.

VIHow to write content AI engines want to cite (and how to spot the AI-slop blogs masquerading as AEO advice).

This is where most “AEO content strategies” go to die. The dominant advice in the marketing world right now is “use AI to scale your AEO content.” Generate 200 FAQ pages a month, fill them with question-and-answer pairs, watch the citations roll in.

It does not work. AI engines can detect their own output, and recursive content (AI writing about AI-written content about AI-written content) gets down-weighted, not cited. We have audited jewelry brands paying agencies to mass-produce AI-written content for “AEO” and watched their actual citation share stay flat or decline. The content was indexed. It was not cited. The model retrieved it, read it, and ignored it in favor of original sources.

Here is what AI engines actually cite for fine jewelry queries.

• Founder-bylined first-person field reports. Not “we asked an expert”; the founder writing in their own voice about a thing they have personal authority on. Models reward originality and source-author identifiable.
• Posts with specific verifiable numbers from named, reputable sources. “Bain’s 2025 Luxury Study put jewelry at 4 to 6% growth, reaching €32 billion globally” is a citable fact. “The jewelry market is growing” is not.
• Comparative content with real distinctions. “Lab-grown vs mined diamond” posts that name actual price ranges, actual environmental tradeoffs, and actual buyer scenarios get cited. Vague comparison posts get scrolled.
• Recent timestamps. Models prefer fresher sources. A 2026 post on AEO gets cited over a 2023 post on AEO that’s structurally identical. Date your posts. Update them.
• Schema that confirms what the page already says. Article, Person, Organization, and Product schemas anchor the entity. Schema alone is not enough, but its absence makes you easier to ignore.

The schema-and-pray approach (adding JSON-LD everywhere and waiting for citations to materialize) is the cousin of the AEO-as-SEO trap from section II. Schema is necessary, not sufficient. Without original facts on the page that the model wants to quote, schema is decoration.

VIISelling fine jewelry inside ChatGPT and Perplexity: the agentic-commerce playbook.

The visibility play (sections III through VI) is the foundation. The commerce play is what’s above and beyond, and Shopify is the structural reason fine jewelers can claim it now.

ChatGPT Instant Checkout

OpenAI launched Instant Checkout with the Agentic Commerce Protocol in 2025. A U.S. user asks ChatGPT for a recommendation, ChatGPT surfaces specific products with images and prices, and the user can check out inside ChatGPT for select merchants. Shopify is one of those merchants at the platform level. The merchant fulfills, the merchant owns the customer record, and the merchant pays the same fees they pay on a normal Shopify transaction.

Perplexity Buy with Pro

Same idea, different surface. Perplexity Pro users in the U.S. can complete a purchase inside Perplexity for select products from merchants in the Perplexity Merchant Program. Free shipping is built in as a perk for Perplexity Pro shoppers.

What you need in place to participate, as a Shopify jeweler

• Clean product titles. “14k Yellow Gold Solitaire Engagement Ring, 1.0ct Round Lab-Grown Diamond” is parseable. “Eternal Love Solitaire” is not.
• Accurate, real-time inventory. Agentic checkout fails ugly if the product is out of stock at fulfillment. Out-of-stock items get the merchant deranked.
• Standardized sizing data. Ring sizes, chain lengths, bracelet sizes. AI engines route this through Shopify product variants, so structure your variants the way the platform expects (one size per variant, not “Small/Medium/Large” for a ring).
• Clear shipping and return policies in your store’s policy pages. The model surfaces these in the conversation. Vague or missing policy pages cause the model to skip your product in favor of one with clear policies.
• Price currency in the catalog. Sounds obvious. We have audited Shopify stores with mixed-currency products. They are not eligible for agentic checkout.
• Photos. AI engines surface products visually in the answer. A jewelry photo against a busy background, or a single photo when the buyer wants multiple angles, gets de-prioritized.

A concrete sequencing recommendation. For most fine jewelers, the right order is: visibility first, commerce second. Get cited in answers before chasing the agentic checkout integration. The visibility work raises the citation share that brings the buyer into the conversation in the first place; the commerce work converts that conversation once it’s happening. Done backward, you set up the checkout flow for a brand the model never recommends.

For Shopify jewelers who already have visibility working: this section is the upside that almost no one in the category is claiming yet.

VIIIWhen a customer asks ChatGPT “where do I get a custom engagement ring”, it is recommending someone right now.

The category-defining buyer queries are happening at scale, daily, and you can run the test yourself in under sixty seconds. Open ChatGPT, Perplexity, or Google’s AI Overview and type any of these:

• “Where should I buy a custom engagement ring near [your city]?”
• “What’s the best fine jewelry brand for a one-carat lab-grown diamond solitaire?”
• “Which jewelers do family-heirloom redesigns in [your trade area]?”
• “What’s the classiest engagement ring shape for a slender hand?”
• “Where can I get a signet ring engraved with a family crest?”

These are not hypothetical. They are queries fine-jewelry buyers are typing today, in volume, instead of (or in addition to) searching Google. The model is going to recommend somebody. The Bain 2025 Luxury Study describes a category growing 4 to 6% globally, sustained “through focused clienteling and experiential activations.” The buyers AI engines are sending to that category are precisely the buyers who do clienteling-led research and are willing to fly, drive, or commission. If the brand the model recommends is not yours, that buyer never lands on your site to begin with. They land on the brand the model named instead.

For most fine jewelers, the highest-leverage versions of these queries are the local-trade-area ones, because the AI engine is being asked for a specific geographic recommendation and the answer set is small. If you operate in a midsize trade area and you are not the recommended brand for “custom engagement ring near [city]”, a competitor is, and they are getting a steady drip of pre-qualified inbound that you are not.

The work in sections III through V is what changes which brand the model picks. It is not magic. It is entity coherence, citable content, clean structured data, and (for the agentic-commerce upside in section IV) being on a platform the AI engines already plug into.

We are open about the fact that we use this post and the rest of the Endico field reports the same way we tell our jewelers to use theirs: as the substrate AI engines retrieve from when buyers ask the questions we want to be the answer to. The founder is named. The location is named. The credentials are listed. The work is described in specifics. The schema is wired. Everything in this post about how to be the cited brand, we are doing on this exact site.

IXSelf-diagnostic: is your Shopify jewelry store ready to be recommended (or sold) by AI?

Pull up your store and walk this checklist. Honest answers only.

Most jewelers treat their website like a brochure instead of a revenue-generating asset. AI search is making that more expensive every quarter. Request an AEO audit. We’ll show you exactly where you’re invisible on ChatGPT, Perplexity, and Google AI Overviews, what to fix this quarter to start being recommended, and if you’re on Shopify what to do to start being sold inside those checkout flows. The audit may humble you. It does for most jewelers. That is the gap, and the gap is the opportunity.

Request an AEO audit or email info@endicodatastrategic.com directly. The founder reads every inquiry within one business day.

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