Resource library
Articles from the Hasmord blog, plus practical guides for companies connecting AI answers to sales: finding customers, competitors and AI answers, missed buying opportunities, backing claims with evidence, reading AI answers and what follows, choosing an approach, and guides for online stores and marketplaces.
From the blog
Field notes on how AI assistants change buying, and the path from an AI answer to a sale.
Salesforce put an AI sales agent on its own site to answer late-night buyer questions. Owning the conversation is the easy part; the answer still has to be right.
AI Visibility · Oct 1, 2026Researchers asked ChatGPT, Gemini and Google’s AI Overviews the same buying questions three times. The picks changed and the cited sources barely overlapped. A screenshot proves one answer, once.
Product Data · Sep 29, 2026NielsenIQ says 51% of U.S. consumers used an AI tool to shop last month. The tools went mainstream; the product facts they read did not.
Videos
A new walkthrough every week: one question companies ask about AI assistants, product information and sales, answered in the real product.
One buyer question, Google’s AI Overview read every day for a week: what changed, and what stayed the same.
Episode 9 · Nov 3, 2026 · 1:38Eight products, three engines, three runs: what AI shopping answers got wrong about price and stock.
Episode 8 · Oct 27, 2026 · 1:42The same 60 shopping questions, three runs in one day: how many cited sites came back, and which number held steady.
Case studies
Anonymized examples built from real buyer questions: where product information and a buying question part ways, and what it takes to close the gap.
Finding customers
Reach people who are already looking for what you sell, and keep every lead with the question that brought them.
How to calculate cost per lead, what counts as a lead, 2026 averages and how to tell if yours is good.
Find customersWhat buying signals are, how to tell a strong one from noise, and how to act without spamming.
CRMWhat each CRM covers, who it fits and what it costs, from sales pipelines to a CRM inside an ERP.
Find customersWhat the AI does in each tool, who it fits and what it costs, from AI CRMs to prospecting and call analysis.
Find customersWhat each one finds, who it fits and what it costs, from contact databases to buyers already looking.
Find customersEight ways to reach people who are already looking, from the questions they ask to the lead your sales team follows up.
Competitors and AI answers
See which competitor your buyers hear about, and why.
A free two-sheet template, the format section by section, SEO competitor analysis, and an AI answers log.
CompetitorsWhat each type of tool tells you, where it stops, and how to see which competitor AI assistants recommend.
Finding missed buying opportunities
Start here when buyers’ questions go unanswered: what is missing, unclear or inconsistent about a product, and which gaps cost you buying opportunities.
What to include, a template and before-and-after examples, with what 513 AI answers stated about products.
Product pagesA 12-point checklist for product pages, with what our tests caught AI getting wrong.
OpportunitiesWhat counts as a missed buying opportunity, the three ways one slips away, and how to find, rank and act on them product by product.
AuditWhat a product data audit checks, how missing, conflicting and unconfirmed information are told apart, and a sample report.
ScoreWhat each of the six signals checks on a product page, and why the score is Hasmord's framework rather than any assistant's ranking.
ChecklistTen checks to run on one product page — identity, variants, units, use conditions, claims and sources — and how to record what you cannot confirm.
DiagnoseA layer-by-layer way to check crawlability, product information and channel eligibility — and what stays unknown when an AI assistant leaves a product out.
Evidence behind product claims
How to connect a claim to a source that matches the product, and separate what is supported from what still needs confirming.
60 B2B questions, three engines, three runs: vendor sites in 88–97% of answers; Google now hides 30% of its citation links.
ResearchThe same 60 questions three times in a day: 15% of ChatGPT sources repeated, 96% of Perplexity. 5 of 55 store prices wrong.
ResearchThe same 60 shopping questions in ChatGPT, Perplexity and Google: brand sites cited in 57%, 53% and 49% of answers; YouTube only in Google.
EvidenceHow to connect a claim to a source that matches the product and model, with a worked before-and-after example.
Research60 shopping questions, 55 AI Overviews: how often each cited review sites, YouTube, Reddit, brand pages and retailers. Method and data included.
WhitepaperHow AI assistants became a front door for buying, three paths to checkout, four layers between an answer and a sale, and a 90-day plan for brands. Every figure sourced. Read online or download the PDF.
AI answers and what follows
How individual AI assistants find and cite sources, how to record what they say about your products over time, and what to follow after an answer. One assistant’s results do not stand in for another’s.
504 AI answers to B2B buying questions: which guides, lists, comparisons and reviews get cited at each stage, and a content plan built from it.
AI search371 ChatGPT product cards read: which stores they link to, how often Amazon appears, and what changes when you ask again an hour later.
AI searchAsking a second AI, asking again and opening the link, tested on 11 wrong shopping answers, plus six steps to check any AI answer.
AI searchGoogle’s page one compared with what ChatGPT, Perplexity and AI Overviews cited for the same 60 questions, plus a checklist.
AI crawlersOpenAI’s crawlers, Claude’s and Perplexity’s, and what 762 sites AI answers cited do in robots.txt.
AI assistantsThe same 60 questions asked three times in each: sources, repeat runs, brands named, prices, and which to use.
Google AI OverviewsWhat ranking still gets you in Google AI Overviews, with data from 55 overviews, what Google requires and an SEO checklist.
AI answersMentions vs citations vs picks; our data on how steady ChatGPT’s brand mentions are; and how to track them.
AI visibilityNamed, cited, recommended and accurate; why one answer can’t measure it; and a plan across questions, runs and engines.
ChatGPTWhat ChatGPT relies on when it picks a business, why ads can’t buy the answer, and seven steps to earn the pick.
Google AI OverviewsWhat to measure in Google AI Overviews, a free way to track them by hand, and what to change when you are not cited.
MeasureFour layers from AI answer to sale, what each tells you, a 90-day measurement plan, and how to report AI-influenced deals without overclaiming.
ChatGPTHow ChatGPT cites web sources, what to check on your pages, and how to measure citations over time.
PerplexityHow Perplexity retrieves and cites sources, and what to check so your product pages can be read and quoted accurately.
Google AI OverviewsHow Google links sources in its AI summaries, and the product-page basics that still apply.
GeminiHow Gemini grounds answers in Google Search, and what to check on your product pages.
CopilotHow Copilot grounds answers in Bing’s index and cites sources, across Windows, Edge and Bing.
ClaudeHow Claude uses search and tools to ground answers, and what clear, trustworthy product facts look like.
AEO and sales: concepts and choices
What AEO and GEO mean for product pages, why the work should connect to sales, and how to choose between an SEO suite module, a visibility tracker and a platform that connects AEO to sales.
The fields to track for every lead, a free CSV template, the 5-minute rule and leads from AI answers.
AI visibilityThe four layers of AI visibility, what a mention count misses, and how to check your products yourself.
CRMWhat AI-native means, and how to tell whether an AI CRM keeps its guesses out of your records.
AEOWhat AEO means for product pages, how it differs from classic SEO, and where product information fits in.
GEOThe same shift under its other name: making product content clear enough for generative answers to use accurately.
CompareWhat each optimizes and measures, where they overlap, and what AEO changes on a product page.
CompareThree names for overlapping work: where each comes from, how they compare, and the same to-do list for product pages.
ChooseMentions, citations and share of voice: what the numbers can and can’t tell you, and eight questions to ask before you choose.
MeasureHow the number is calculated, why one percentage can mislead, and how to build a share-of-voice report from your buyers’ real questions.
AI shoppingHow Perplexity shows products, where its product data comes from, and the facts brands can control so the answer is right.
AI shoppingYour site, Amazon, retailer pages and dealer sites all describe the same product. How to keep the facts consistent so AI answers quote the right one.
TrackWhat to track, a five-step setup, how often to run it, and how to turn a missing or wrong answer into a product fix you can check again.
CompareAn SEO suite’s AEO module, an AI visibility tracker, keyword content at scale, or an AEO-native sales platform — compared by chain, unit of work and focus, then task by task.
ChooseA checklist, not a ranking: ten questions to ask any AEO vendor, from data sources and answer text to evidence, approval, channels and the link to sales.
DecideStart from the buyer questions your products can’t answer and the revenue behind them: a low and high case, the full cost, and when ROI is likely low.
SalesThe questions your sales team hears every week are the ones buyers ask AI assistants. Five steps to turn them into product facts and check again.
SalesWhat turns an AI answer into a quote request or a sales call, what to publish on the pages assistants read, and how to count AI-influenced leads honestly.
Online stores and marketplaces
For teams that sell online: how each store platform or shopping channel reads your product information, so changes land where buyers look.
How product results in ChatGPT differ from web citations, what merchant feeds and visible pages each need, and how to troubleshoot missing products.
ShopifyWhat Shopify already handles for you, what still depends on your product information, and a checklist for Shopify product pages.
WooCommerceProduct information checks for WordPress and WooCommerce stores, and why owning your markup helps.
BigCommerceThe information gaps to check in a BigCommerce catalog: custom fields, evidence and feed data.
AmazonHow to keep product information clear and consistent when the listing lives on Amazon and you cannot edit the page.
Amazon RufusHow Amazon’s shopping assistant compares products conversationally, and which listing information to review.
Core references
Plans, answers to common questions, and how Hasmord handles your data.
Plans, prices and limits: products, citation checks and features, plus how billing and cancellation work.
FAQWhat AEO is, how citation checks work, plans and data handling — answered plainly.
TrustHow Hasmord protects your data: OAuth sign-in, encryption, tenant isolation, and GDPR-aligned handling.
AboutWho we are: the AEO-native sales platform that rebuilds sales for the AI era, for companies of every kind.
PressCompany facts, approved descriptions, founder bio, logos and product video. Media contact: info@hasmord.com.