Partner
How B2B brands get recommended by AI
How B2B brands get recommended by AI comes down to seven things you can check and fix: whether ChatGPT, Google, Perplexity, Copilot and Claude can reach your catalog, read it, trust it and answer your buyers' questions with it. This is IWD's AI search optimization method for B2B, built from our audit of 99 B2B websites.
Original IWD research
What we found when we checked 99 B2B websites
We audited 99 B2B websites across 10 sectors from the outside, the way an AI crawler or a new buyer sees them. Most aren't blocking AI on purpose. They're losing it by accident.
Turned away by accident
sites let a normal browser in but turned away a request naming an AI bot, usually at the firewall
1 in 8
Price hidden in code
product pages with a price showed it only after scripts ran, so many AI crawlers never see it
1 in 4
No product data
sites had no Product structured data on the product pages we checked
1 in 3
Blocked on purpose
robots.txt files block AI bots. The problem isn't policy, it's settings nobody checked.
2 of 89
Base for each figure: 12 of 99 sites, 23 of 91 product pages showing a price, 24 of 68 sites with measurable product pages, 2 of 89 readable robots.txt files. IWD audit, October 2026. Method at the end of the page.
Why it matters
Nearly half of B2B buyers now ask AI before they ask you
B2B buyers use AI tools to research suppliers and products, build a shortlist, and contact vendors late, if at all. If AI doesn't name you while they research, you're not on the list, and you never see the business you lost.
AI in the purchase
B2B buyers who used generative AI during a recent purchase, mainly to research vendors and products
45%
Finding suppliers
US B2B buyers who use AI tools at the discovery stage, when they look for suppliers
35%
Shortlist first
Buyers who ranked vendors before contacting any of them. 77% bought from their top pick.
94%
A new generation
B2B buyers who are millennials or Gen Z, up from 64% a year earlier
71%
Sources: 45%, Gartner B2B buyer survey, about 650 buyers (2026). 35%, Google and NRG, 2,063 US B2B buyers (2025, commissioned by Google). 94% and 77%, 6sense 2025 Buyer Experience Report, nearly 4,000 buyers, mostly technology purchases. 71%, Forrester Buyers' Journey Survey (published March 2024).
Who the B2B buyer is now
44%
of final B2B purchase decision-makers are millennials, and millennials make up 73% of everyone involved in B2B buying.
LinkedIn 2025 B2B Buyer Report, as reported by Digital Commerce 360 (April 2025).
This generation grew up searching, not calling. Forrester reports that nearly half of all business purchases are now self-service transactions. Younger buyers expect to research on their own, compare options fast and talk to sales only when they're close to a decision.
What that means for you: the research that used to happen in a sales call now happens in ChatGPT, Google and Perplexity. Your catalog has to answer their questions there.
The trust gap is your opening
6%
of manufacturing buyers trust AI output directly, and 55% check the answer against other sources. Among buyers who used AI, 45% went on to check vendor websites. Your site is where the answer gets confirmed or thrown out.
Gardner Business Media, 2025 Industrial Buying Influence Survey (trade publisher). Google and NRG, 2025: 45% of buyers who used AI then checked vendor websites (commissioned by Google).
Being named beats being clicked
15% → 8%
Google users clicked a result on 15% of searches without an AI summary, and on 8% when one appeared. When fewer people click, being named inside the answer is what counts.
Pew Research Center, July 2025, 900 US adults, 68,879 searches. Consumer browsing.
How AI search works
How AI search picks which B2B brands to recommend
Every AI search tool does roughly the same four things before it names a supplier. A catalog can fail at any one of them, and each failure has a different fix. This work is also called generative engine optimization (GEO) or answer engine optimization (AEO), and for a B2B catalog it comes down to these four stages. (For the consumer side, see our guide to AI search optimization for ecommerce.)
- ReachIt visits your pagesA search crawler (OAI-SearchBot, PerplexityBot, Claude-SearchBot, Googlebot, Bingbot) has to be allowed through robots.txt and your firewall.
- ReadIt understands themProduct name, part number, price and specs have to be in the page itself, not loaded later by scripts.
- ChooseIt picks you as a sourceIt searches several related questions at once and picks pages that answer them clearly, from brands other sites mention.
- NameIt names you, or someone elseIf your page is missing or unreadable, the answer names a distributor, a marketplace or a competitor instead.
Training bots and search bots are different
Every major platform now runs separate bots for model training and for answering questions. Blocking a training bot does not remove you from AI answers. Blocking a search bot does.
| Platform | Puts you in answers | Trains models (your choice) |
|---|---|---|
| ChatGPT | OAI-SearchBot, ChatGPT-User | GPTBot |
| Google AI Overviews, AI Mode | Googlebot | Google-Extended |
| Copilot | Bingbot | No separate token |
| Perplexity | PerplexityBot, Perplexity-User | None listed |
| Claude | Claude-SearchBot, Claude-User | ClaudeBot |
| Apple (Siri, Spotlight) | Applebot | Applebot-Extended |
From each platform's own crawler documentation, checked October 30, 2026: OpenAI, Google, Bing, Perplexity, Anthropic, Apple.
What the platforms say themselves
"optimizing for generative AI search is optimizing for the search experience, and thus still SEO."Google, AI optimization guide, July 2026
"Bing and Copilot search experiences rely on the same core crawling, indexing, and ranking foundation as traditional search."Microsoft, Bing Webmaster Guidelines
"Each setting is independent of the others."OpenAI, crawler documentation, on search and training bots
The practical reading: there is no secret AI channel. The same well-built, crawlable, clearly written catalog that does well in search is what AI tools draw on. B2B catalogs just tend to miss more of the basics.
Why we wrote this guide
IWD loves B2B.
18+ years building B2B ecommerce for manufacturers, distributors and wholesalers.
Read our B2B case studies: Adobe Commerce for B2B manufacturing and a B2B parts finder with serial number search.
The IWD method
Seven steps to get your B2B brand recommended by AI
The steps follow the order AI works in, so fix them in this order: a page AI can't reach gains nothing from better copy. None of it replaces good technical SEO; it builds on it, which is why this work sits alongside our ecommerce SEO services. Each step below shows what we found in our audit, what the platforms and research say, and what to do about it.
- Step 1Let AI inRobots.txt, firewall and bot settings, Bing
- Step 2Make it readablePrice, part numbers and specs in the HTML
- Step 3Label it for machinesProduct and Organization data, product feeds
- Step 4Put every product onlineEven the ones you don't sell online
- Step 5Answer how to buyPrice, accounts, minimums, lead times
- Step 6Get named elsewhereDistributors, directories, press, video
- Step 7Measure and refreshAsk the questions, track the referrals
- ThenScore yourselfA 14-point scorecard and a 90-day plan
Step 1
Let AI in, on purpose
Almost no B2B site blocks AI by choice. The blocking happens by accident, in firewall and bot-protection settings nobody has checked since AI search arrived.
What we found in 99 B2B sites
6 of the 12 sites that turned AI away run on Fastly, the delivery network behind Adobe Commerce Cloud. Checks ran from Europe; 10 robots.txt files couldn't be read.
What the platforms say
- ChatGPT needs two thingsOAI-SearchBot allowed in robots.txt, and your host or CDN letting through OpenAI's published crawler IP addresses. (OpenAI)
- Google-Extended doesn't affect AI OverviewsIt "does not impact a site's inclusion in Google Search." AI Overviews and AI Mode use normal Googlebot crawling. (Google)
- Copilot runs on Bing's indexSo Bing indexing is AI indexing. The NOARCHIVE robots tag removes content from Copilot answers; NOCACHE limits Copilot to your title and snippet. (Bing)
- ChatGPT search also leans on partnersOpenAI names Microsoft as one of its search providers, which is another reason to be well indexed in Bing.
Do this
- MustAllow the answer bots in robots.txt: OAI-SearchBot, ChatGPT-User, PerplexityBot, Claude-SearchBot, Claude-User, Googlebot, Bingbot, Applebot.
- MustCheck your CDN and firewall bot rules (Cloudflare, Fastly, Akamai). Allow the verified AI search crawlers, not only Google and Bing. This is where most accidental blocks live.
- MustVerify the site in Bing Webmaster Tools and submit your XML sitemap. Copilot can only use what Bing has indexed.
- ShouldDecide on training bots (GPTBot, ClaudeBot, Google-Extended, Applebot-Extended, CCBot) as a separate business decision. Blocking them is fine and won't cost you answer visibility.
- ShouldTurn on IndexNow (built into Shopify, a plugin elsewhere) so Bing and Copilot pick up price, stock and new products quickly.
- ShouldRemove NOARCHIVE and NOCACHE from product pages unless you mean to keep them out of Copilot.
Open yoursite.com/robots.txt and search for "OAI-SearchBot", "PerplexityBot" and "Claude-SearchBot". If a "Disallow: /" applies to them, or to "User-agent: *" without an allow for them, you're out of those answers. Then ask your developer or host one question: "Do our bot rules block AI crawlers?"
Step 2
Make every product page readable without scripts
Many AI crawlers read the page as it arrives, before any JavaScript runs. If the price or part number is filled in later, the crawler sees a product with no price and no part number.
What we found on 134 product pages
Bases differ because each check only counts pages where the item could be measured. Up to two product pages per site, chosen by a fixed rule.
What the platforms say
- Google renders scripts, but says not to rely on itIt recommends server-side rendering because "not all bots can run JavaScript." (Google)
- Bing warns against it directlyAvoid "Hiding critical content behind client-side rendering." Content that can't be rendered may not be picked for Copilot answers. (Bing)
- OpenAI, Perplexity and Anthropic say nothingNone of them documents running JavaScript. The safe assumption is that their crawlers don't.
- One topic per page, key facts firstBing says single-topic pages are more likely to be picked, and to put essential information near the top.
Do this
- MustServe product name, manufacturer part number, your SKU, price (or "from" price), availability and key specs in the HTML, not from a script that runs after load.
- MustOne product per URL, with the part number in the title, the URL and the first lines of the page.
- ShouldPut specs in an HTML table, not only in an image or a PDF. Keep the PDF too, but repeat the key numbers on the page.
- ShouldWrite compatibility, materials, certifications and standards as plain sentences. These are what buyers' questions are made of.
- Nice to haveKeep page speed reasonable. It isn't a direct AI factor, but slow pages get crawled less. The median mobile performance score on the product pages we audited was 52 out of 100.
Open a product page, right-click and choose "View page source". Search for the part number and the price. If you can't find them in the source, most AI crawlers can't either.
Step 3
Label it for machines, and keep the labels honest
Structured data and product feeds tell machines exactly which product, which brand, which price. They won't make AI cite you on their own, but they keep what AI says about you accurate, and they're the entry ticket to Google's and ChatGPT's shopping results.
What we found
A price of 0 in the data, usually on login-priced items, disqualifies the product from Google's merchant listings.
What the evidence says
- Not required for AI answersGoogle: "There's also no special schema.org structured data that you need to add." (Google)
- No measured citation liftAhrefs compared 1,885 pages that added structured data with 4,000 matched pages: no meaningful change in AI citations. (Ahrefs, May 2026, vendor study)
- But it decides shopping eligibility"Providing both structured data on web pages and a Merchant Center feed maximizes your eligibility." Merchant listings need a price above zero. (Google)
- The B2B catchMerchant Center only accepts a price "any customer can buy" at without a membership. For minimum orders, submit the total price of the minimum quantity. (Google Merchant Center)
Do this
- MustProduct data on every product page: name, image, brand, mpn, sku, gtin where you have one, and an offer with price, currency and availability that match the visible page.
- MustNever send a price of 0. If price needs a login, leave the price out of the data, or show a public list price and use that.
- ShouldOrganization data on the homepage: legal name, logo, contact, your social and directory profiles (sameAs), plus B2B identifiers Google supports, such as DUNS and NAICS.
- ShouldA Google Merchant Center feed and a Microsoft Merchant Center feed for every product with a public price.
- Nice to haveChatGPT product feeds (Agentic Commerce Protocol). US only, by application, and already automatic for Shopify. ChatGPT also reads your site without one.
- Nice to havellms.txt. Harmless, but no major platform says it reads it. See "What not to buy".
The shopping programs aren't built for B2B yet
Every AI shopping program we checked is consumer-first and US-first
OpenAI dropped its standalone Instant Checkout in March 2026 and now sends shoppers to the merchant's own checkout, with product feeds for discovery (OpenAI). Google's AI Mode draws on its Shopping Graph of 50 billion listings. Microsoft's Copilot Checkout is US, USD and English only. None of the four programs mentions trade pricing or login-only catalogs.
So for most B2B stores, AI visibility comes from the open web: steps 1, 2, 4 and 5. Feeds are a bonus for the products you can price publicly.
Paste a product page into Google's Rich Results Test (search.google.com/test/rich-results). Does it find a Product with a price, a brand and a part number? Does that price match the one on the page?
Step 4
Put every product online, even the ones you don't sell online
AI can only name a product it can find a page for. B2B companies often leave out products sold through reps, dealers, quotes or showrooms. Then a buyer who searches for the exact part number lands on a distributor, a marketplace or a competitor instead.
Doing it well
Leviton: a page for every part, no cart needed
Leviton's product pages show no price and no add to cart. Each one still has its own page by part number, with "Add to Project List", "Save Specs", "Where to Buy", instruction sheets and a cross-reference tool for other manufacturers' part numbers. Bobrick does the same for washroom products, with "Find a Rep" in place of a cart.
From IWD's captures of leviton.com and bobrick.com, October 2026.
One store, every brand
Let your suppliers feed the catalog
A multi-brand pool supply retailer we work with lists more than 19,000 products and ships most of them straight from distributor warehouses. Each distributor is connected by API or scheduled file, so stock, cost and tracking flow in on their own, as often as hourly. The ERP stays the source of truth for the stock it holds itself (the same pattern we use in ERP integration services). The catalog can be far bigger than the warehouse, and every product shows real availability.
Do this
- MustPublish a page for every product you sell, however you sell it. Use the part number in the title and URL.
- MustGive every page a next step: add to cart, request a quote, add to a project or wish list, find a rep, or where to buy.
- ShouldAdd cross-references: legacy part numbers, superseded parts and the competitor numbers buyers search for.
- ShouldKeep XML sitemaps complete, with accurate last-modified dates, and ping IndexNow when products change.
- ShouldIf you resell, connect supplier stock and pricing by API or feed, with your ERP as the source of truth, so availability on every page is current.
Why long-tail pages matter more now
Google's AI answers run several related searches at once. In a March 2026 study of 4 million cited links, only 37.9% of the pages AI Overviews cited ranked in the top 10 for the question asked. A specific, complete part page can get cited without ranking first.
Ahrefs, March 2026, 863,000 searches (vendor study). Google describes the "query fan-out" technique on its AI features page.
No published research yet measures AI visibility by part number, or manufacturer against distributor. That's what IWD's own "Invisible to AI" study is testing.
Search Google, then ChatGPT, for one of your exact part numbers. Is your own page the first result and the cited source, or is it a distributor's?
Step 5
Answer how to buy, in plain words
B2B buyers ask AI the questions they used to ask a rep: who sells this, can I buy it as a business, what's the minimum, how fast does it ship, how do I open an account. If your site doesn't answer them in plain text, AI answers with someone else's page.
What we found
Detected on the homepage and product pages we checked. Account path and the buying terms are a first pass and may undercount terms kept on other pages.
What the research says about content
- Facts and sources help, sales copy hurtsAdding statistics raised a page's visibility in AI answers by 31%, quotations by 41% and cited sources by 27.5%. Keyword stuffing lowered it by 8%. (Aggarwal et al., KDD 2024, test setup with GPT-3.5)
- Buyer questions beat ad copyOn 13,747 product searches, rewrites built around buyers' questions and FAQs did better, and advertising-style rewrites did much worse. (E-GEO, 2025, Amazon listings)
- AI shows up on research questionsGoogle showed an AI Overview on 83% of "best X" searches but only 13% of "buy X" searches. Buying guides and comparisons are where you compete. (BrightEdge, Nov 2025, consumer searches)
Doing it well
Abcam: a public price and your contract price on the same page
A new visitor sees a list price, a delivery window and an add to basket button that can also create an instant quote. Account holders get a "Sign in to view your pricing" link right beside the price. Every buyer, and every AI tool, gets a number to work with.
From IWD's capture of abcam.com, October 8, 2026.
Do this
- MustShow a list or "from" price to everyone, with "Sign in for your price" beside it if you have contract pricing.
- MustPublish one "How to buy" page: who can buy, how to open an account, what you need (tax ID, resale certificate), minimums, payment terms, shipping regions and lead times.
- ShouldAnswer the real buyer questions on product and category pages, in the buyer's words. Use your sales team's most common emails as the list.
- ShouldWrite buying guides and comparisons with real numbers and named standards, and cite your sources.
- Nice to haveQuick order by part number and a request-a-quote option on every product, so the visit an AI answer sends you can turn into an order. Both are standard in B2B ecommerce development.
Ask ChatGPT: "How do I open a wholesale account with [your company] and what's the minimum order?" If the answer is vague, wrong or quotes a distributor, your site isn't answering it.
IWD loves B2B.
Adobe Commerce, Magento, Shopify Plus and BigCommerce stores, with the ERP integrations B2B buying runs on.
Step 6
Get named where AI looks
AI tools lean heavily on what other sites say about you. Your own site gets you read; other sites get you recommended.
What tracks with getting named in Google's AI answers? We compared the signals on a 0 to 1 scale, where 1 means the signal rises and falls perfectly with how often a brand is named.
Mentions on other sites
How often other websites name your brand
Strong link
0.66/1
Backlinks
How many links point to your site
Weak link
0.22/1
Fresh content
Pages AI cites are newer than the pages normal search shows
Newer, on average
26%
Third-party coverage
AI search leans heavily on what others say about you, over your own pages
Most favored source
#1
In plain terms: brands that other sites talk about get named in AI answers far more reliably than brands that only collect links. Mentions track AI visibility three times as closely. Sources: correlation scores and freshness from Ahrefs, 75,000 brands, 2025 and Ahrefs, 17 million citations, 2025. Both are vendor studies and show correlation, not cause. Earned media: Chen et al., 2025, academic preprint.
Do this
- MustMake sure every distributor and marketplace that carries you names your brand and your manufacturer part numbers correctly, and links to you.
- MustUse one consistent company and brand name everywhere. Bing asks for consistent entity names, and AI tools have to connect the mentions to you.
- ShouldGet listed in the directories and associations of your trade (Thomasnet, industry associations, certification bodies' supplier lists).
- ShouldPublish what AI cites often: case studies with real numbers, LinkedIn posts from your experts, how-to and installation videos on YouTube, and trade press coverage.
- ShouldKeep your most important pages current with real updates and a visible "updated" date. Never change the date without changing the content.
- Nice to haveTake part in genuine community discussions (Reddit, trade forums). Platforms' favorite sources shift fast, so don't bet everything on one.
Which sites get cited changes fast
In one three-month study of 230,000 prompts, Reddit fell from about 60% of ChatGPT answers to about 10% within weeks. Each platform has its favorites: Wikipedia and Reddit for ChatGPT, LinkedIn and YouTube for Google's AI Mode.
Semrush, November 2025 (vendor study).
The lasting play is being correctly named in many trusted places: distributors, directories, trade press, video and your own experts. No single site can be gamed for long.
Ask Perplexity "Who are the leading suppliers of [your main category]?" and look at the sources it cites. Are you named on any of them? Those sites are your outreach list.
Step 7
Measure what AI says about you, then refresh
AI answers change from one run to the next, so one screenshot proves nothing. Measure the way we do in our research: a fixed set of buyer questions, asked several times, on several tools, scored the same way every time.
The IWD question set
- Three kinds of question for each product categoryFind a supplier ("Who supplies X in the US?"), find a product ("Best X for Y?" or a part number) and how to buy ("Can I buy X wholesale without an account?").
- Ask each one three times on each toolChatGPT, Perplexity, Google AI Overviews and AI Mode, Copilot. Log the date, the tool and the answer.
- Score every answer on five levelsNamed directly; named by a parent or sub-brand; reached through a distributor or marketplace; your page cited without your name; not surfaced at all.
- Repeat every quarterSame questions, same scoring, so changes reflect your work and not luck.
The tools that now report AI visibility
- Bing Webmaster Tools, AI PerformanceCounts how often Copilot and Bing's AI summaries cite your pages, and for which questions. Free. (Bing, Feb 2026)
- Google Merchant Center, AI performance insightsYour share of voice in AI Mode and AI Overviews shopping answers, for products in your feed. English, in the US and four other countries. (Google)
- GA4Create an "AI assistants" channel for visits from chatgpt.com, perplexity.ai, gemini.google.com, copilot.microsoft.com and claude.ai.
- Server logsCheck that OAI-SearchBot, PerplexityBot and Claude-SearchBot actually reach your product pages and get a normal page back, not a block.
Set the right expectation
AI tools still send a small share of visits: 0.43% of traffic across 115,000 sites in September 2026, against 26.8% from search engines (Ahrefs benchmark). The value is influence on the shortlist, not raw traffic. Brands cited in an AI Overview got 35% more organic clicks than brands that weren't (Seer Interactive, 2025, correlation across 42 clients). Judge success by how often you're named, and by branded searches and direct visits, not only by referral clicks.
Myth busters
Claims you'll hear that the evidence doesn't support
AI search has attracted a lot of confident advice. These are the common claims we checked against the platforms' own statements and independent studies.
| The claim | What the evidence says |
|---|---|
| "Add schema and AI will cite you." | Google says no special structured data is needed, and a matched study of 1,885 pages found no citation lift. Do it for accuracy and shopping eligibility, not as a citation lever. |
| "llms.txt gets you into ChatGPT." | No major AI platform says it reads llms.txt. Google says Search ignores it. One study found 97% of llms.txt files were never requested. In our audit, 19 of 20 Shopify sites had one, because Shopify generates it, against 6 of 79 on other platforms. |
| "Rank number one and you'll be in the AI answer." | Only 37.9% of pages cited in AI Overviews rank in the top 10 for the question. Ranking helps, but complete, specific pages and outside mentions matter too. |
| "Block GPTBot and you disappear from ChatGPT." | No. GPTBot is OpenAI's training bot. ChatGPT search uses OAI-SearchBot, and OpenAI says the settings are independent. |
| "GEO raises visibility 40%." | That's the best case in a 2023 academic test with GPT-3.5. In the same test, pages that already ranked first lost visibility from the same edits. |
| "90% of B2B buying already happens through AI agents." | That's a Gartner prediction for 2028, not a measurement. The measured figure is 45% of buyers using AI during a purchase. |
| "AI traffic converts 4x to 23x better." | These come from models, single websites or consumer holiday retail. Adobe's own data swung from AI visits converting 9% worse (early 2025) to better (2026). There's no B2B benchmark yet. |
Sources for every row are linked in the step sections above, and the full evidence file with sample sizes and publisher notes is available on request.
Scorecard
Score your catalog in 15 minutes
Give each step 0, 1 or 2 points, for a total out of 14. Fix the lowest-scoring step first, and work in step order.
| Step | 0 points | 1 point | 2 points |
|---|---|---|---|
| 1. Let AI in | An AI search bot is blocked in robots.txt or by the firewall | Allowed in robots.txt, firewall not checked | Allowed and verified in logs, Bing Webmaster Tools set up |
| 2. Readable | Price or part number only appears after scripts run | Name and part number in the HTML, price or specs not | Name, part number, price, stock and specs all in the HTML |
| 3. Labeled | No Product data, or a price of 0 | Product data without part numbers or availability | Complete Product and Organization data, plus a Merchant Center feed where prices are public |
| 4. Every product | Products sold through reps, dealers or quotes aren't online | Most products online, some without a next step | Every product has a page, a part number and a next step |
| 5. How to buy | No public price and no explanation of how to buy | Prices or a how-to-buy page, not both | List price plus account price, and a how-to-buy page with terms |
| 6. Named elsewhere | Distributors list you with wrong or missing part numbers | Correct on distributors, little else | Correct on distributors plus directories, press, video and expert content |
| 7. Measured | Nobody checks what AI says about you | Occasional spot checks | Fixed question set, scored quarterly, AI referrals tracked in GA4 |
90-day plan
Where to start
Most of the early wins are settings and templates, not new content. Fix one product template and you've fixed every product page.
Days 1 to 30
Open the doors
- Robots.txt and firewall rules for AI search bots
- Bing Webmaster Tools, sitemaps, IndexNow
- Baseline: the question set, scored once
- GA4 AI assistants channel
Days 31 to 60
Fix the templates
- Product page template: name, part numbers, price, stock and specs in the HTML
- Product and Organization data, no zero prices
- List price plus "Sign in for your price"
- "How to buy" page with real terms
Days 61 to 90
Fill the gaps and get named
- Pages for products sold offline, with cross-references
- Distributor and directory listings corrected
- Buying guides built from sales-team questions
- Re-run the question set and compare
FAQ
Questions about getting recommended by AI
What is AI search optimization for B2B?
AI search optimization for B2B is the work of making a manufacturer's, distributor's or wholesaler's website easy for ChatGPT, Google AI Overviews, Perplexity, Copilot and Claude to reach, read and recommend. It is also called generative engine optimization (GEO) or answer engine optimization (AEO). For B2B catalogs it mostly means open crawler access, product pages with part numbers and prices in the HTML, complete product data, clear buying terms and accurate mentions on distributor and directory sites.
How do B2B brands get recommended by AI?
AI tools recommend brands they can reach, read and trust. In practice that means seven steps: let the AI search crawlers in, put product names, part numbers, prices and specs in the page HTML, add accurate product and organization data, publish every product you sell, answer how to buy in plain words, get named correctly on distributor, directory and trade sites, and measure what AI says about you every quarter.
Does blocking GPTBot remove my site from ChatGPT?
No. GPTBot is OpenAI's model training crawler. ChatGPT search uses OAI-SearchBot, and OpenAI says each setting is independent. You can block training and still appear in ChatGPT answers, as long as OAI-SearchBot is allowed in robots.txt and by your firewall or CDN.
Do I need schema markup or an llms.txt file to show up in AI answers?
Neither is required. Google says no special structured data or AI text files are needed for AI Overviews or AI Mode, and a matched study of 1,885 pages found no citation lift from adding schema. Product and Organization structured data is still worth having because it keeps prices and part numbers accurate and makes products eligible for shopping results.
Can B2B products with login-only pricing appear in AI shopping results?
Usually not. Google Merchant Center only accepts a price any customer can pay without a membership, and the AI shopping programs from OpenAI, Google and Microsoft are built for public, consumer-style pricing. Showing a public list price, with contract pricing behind a sign-in, keeps both buyers and AI tools in the conversation.
How many B2B buyers use AI to research purchases?
Gartner found 45% of B2B buyers used generative AI during a recent purchase, mainly to research vendors and products. Google and NRG found 35% of US B2B buyers use AI tools when discovering suppliers.
Is generative engine optimization different from SEO for B2B?
Mostly not. Google says optimizing for generative AI search is still SEO, and Microsoft says Copilot uses the same crawling, indexing and ranking foundation as Bing. The differences for B2B are emphasis: AI tools lean harder on third-party mentions, on facts written plainly on the page, and on content a crawler can read without running scripts.
How can I see whether AI recommends my company?
Ask a fixed set of buyer questions on ChatGPT, Perplexity, Google and Copilot, three times each, and record whether you are named, reached through a distributor, cited without your name or missing. Bing Webmaster Tools now reports Copilot citations, and GA4 can track visits from chatgpt.com, perplexity.ai and other AI assistants.
