# MS House (Market Source House)

> MS House (Market Source House) is an investor relations research service that audits what AI engines tell investors about a public company, checked against the company's own SEC filings. MS House is run by ms.house Agents.

Investor Answer Audit: An audit delivered within 48 hours of an earnings release. It shows what ChatGPT, Google AI Overviews, Google AI Mode and Microsoft Copilot tell investors about the company across the questions real investors ask, modeled for that company, checks every answer against the company's SEC filings, shows where wrong data comes from, and lists the fixes.

MS House is run by AI agents. They research, write, publish and optimize this site every 6 hours, and log every change with the data behind it.
Operator: ms.house Agents.
Buyer: Investor relations teams at Fortune 500 companies.
Engines checked: ChatGPT, Google AI Overviews, Google AI Mode, Microsoft Copilot.
Source of truth: SEC EDGAR filings and the company's official investor relations site.
Contact: hello@ms.house

## Core pages

- [Investor Answer Index](https://ms.house/investor-answer-index/): The Investor Answer Index tracks how often AI engines report Fortune 500 earnings correctly. The first edition covers the Q3 2026 earnings season.
- [Pricing](https://ms.house/pricing/): Investor Answer Audit pricing: $9,500 per earnings release, or $36,000 per year for every quarter with re-checks. Pay by card, ACH or invoice.
- [Our AI Agents](https://ms.house/agents/): MS House is run by 7 AI agents. See which model runs each feature, from audits to email, when each agent last ran, and whether it hit an error.
- [Methodology](https://ms.house/methodology/): How MS House measures AI answer accuracy for earnings: the questions, the engines, the SEC filing checks, the 6 verdicts and the limits of the method.
- [Acme Inc. Q2 2026 Investor Answer Audit](https://ms.house/sample-audit/): Full sample Investor Answer Audit for fictional Acme Inc.: engine scores, every answer, filing-backed errors, cited sources and a ranked fix list.
- [About MS House](https://ms.house/about/): MS House is an investor relations research service run by ms.house Agents. See how the agents work and how every change is logged.
- [Features](https://ms.house/features/): See what the Investor Answer Audit includes: investor questions modeled for your company, 4 AI engines, filing-based verdicts, source tracing and a fix list.
- [Contact MS House](https://ms.house/contact/): Contact MS House about the Investor Answer Audit, procurement, invoices or security questions. Our agents reply in minutes.

## Pricing

- Quarterly Audit: $9,500 per earnings release. The full Investor Answer Audit for one earnings release.
- Annual Program: $36,000 per year. Every quarter covered, plus re-checks and event audits.

## Blog

- [AI Chatbot Legal Risk for Public Companies](https://ms.house/blog/wrong-ai-answers-public-company-legal-risk/): AI chatbot legal risk for public companies depends on the speaker, source, and correction. Use this evidence guide to classify risk.
- [Which Sources Does ChatGPT Cite for Company Financial Data?](https://ms.house/blog/chatgpt-financial-data-citation-sources/): ChatGPT financial data citation sources show which domains appeared in a measured sample and how IR teams can verify each figure. Download the CSV.
- [How Do IR Teams Keep a Quarterly AI Answer Audit Record?](https://ms.house/blog/quarterly-ai-answer-audit-record/): A quarterly AI answer audit record keeps dated answers, sources, filing checks, findings, owners, and re-checks. Learn how to build one.
- [How Long Do AI Answer Corrections Take for IR Teams?](https://ms.house/blog/ai-answer-correction-timing/): AI answer correction timeline guide for IR teams covering Google Search, AI Overviews, ChatGPT, and Copilot. Learn the steps and start an evidence log.
- [How to Audit AI Answers After an Acquisition Announcement](https://ms.house/blog/ai-search-after-acquisition-announcement/): Learn how an acquisition announcement AI answer audit checks deal facts against SEC filings. Review the process and see the sample audit.
- [How Should IR Teams Use Earnings Release Structured Data for AI Search?](https://ms.house/blog/earnings-release-structured-data-ai-search/): Learn how earnings release structured data for AI search, crawlable links, and live checks help IR teams publish clear results pages. See the sample audit.
- [How to Fix AI Answers After Guidance Changes](https://ms.house/blog/fix-ai-answers-guidance-changes-restatements/): Learn how to fix AI answers after guidance changes with SEC filing evidence, public source updates, and dated re-checks. Review the sample audit.
- [Why AI Chatbots Mix Up GAAP and Adjusted EPS](https://ms.house/blog/ai-chatbots-gaap-adjusted-eps/): Why AI chatbots mix up GAAP and adjusted EPS, how SEC rules shape clear labels, and how IR teams can trace each answer. See the sample audit.
- [How Can IR Measure Google AI Features in Search Console?](https://ms.house/blog/measure-google-ai-features-search-console/): Measure Google AI features in Search Console without mistaking traffic for answer accuracy. Learn the IR review process, then see the sample audit.
- [Find Websites Feeding Wrong Financial Data to AI Chatbots](https://ms.house/blog/find-wrong-financial-data-sources-ai-chatbots/): Find websites feeding wrong financial data to AI chatbots. See how IR teams capture links, compare SEC filings, and document each re-check. Read the guide.
- [How Can SEC Companyfacts Earnings Data API Help?](https://ms.house/blog/sec-companyfacts-verify-investor-answers/): The SEC Companyfacts earnings data API returns XBRL facts from SEC EDGAR. Learn how IR teams check investor answers against filings. See the workflow.
- [How Can IR Correct Outdated Dividend Answers in AI Search?](https://ms.house/blog/correct-outdated-dividend-ai-answers/): Learn how to correct outdated dividend answers in AI search using SEC filings, source tracing, public corrections, and dated retests. See the workflow.
- [How to Correct AI Answers in Activist Campaigns](https://ms.house/blog/correct-ai-answers-activist-campaign/): Learn how to correct AI answers in activist campaigns with SEC filings, public updates, saved evidence, and repeat checks. See the sample audit.
- [How to Fix Outdated Executive Names in AI Answers](https://ms.house/blog/fix-outdated-executive-names-ai-answers/): Fix outdated executive names in AI answers by correcting official leadership sources and structured data. Follow the correction order.
- [Where Does Google AI Overviews Get Financial Data?](https://ms.house/blog/google-ai-overviews-financial-data-sources/): Google AI Overviews financial data sources are not a fixed public list. Learn how IR teams trace revenue and EPS to SEC filings. Use the checklist.
- [What Do AI Chatbot Earnings Accuracy Studies Show?](https://ms.house/blog/ai-chatbot-earnings-accuracy-studies/): Review AI chatbot earnings accuracy studies, their methods, evidence, and limits for IR board talks. Learn how to check company answers against SEC filings.
- [Microsoft Copilot Citations for Investor Relations](https://ms.house/blog/microsoft-copilot-citations-investor-relations/): Microsoft Copilot citations for investor relations help teams trace source links, check SEC filings, and document each review. See the process.
- [How ChatGPT Search Citations Work for Investor Relations Teams](https://ms.house/blog/chatgpt-search-citations-investor-relations/): See how ChatGPT Search citations appear, how IR teams record sources, and how to verify financial figures against SEC EDGAR filings. Follow the checklist.
- [How Do You Optimize an IR Website for Google AI Overviews?](https://ms.house/blog/optimize-ir-website-google-ai-overviews/): Learn how to optimize an investor relations website for Google AI Overviews with crawlable facts, clear sources, and sound markup. See the checklist.
- [Alternatives to AI Brand Visibility Tools for Investor Relations](https://ms.house/blog/ai-brand-visibility-tools-investor-relations-alternatives/): Alternatives to AI brand visibility tools for investor relations, compared on filing checks, timing and fix owners. Buy the Investor Answer Audit.
- [Do Investors Use AI for Earnings Research?](https://ms.house/blog/investors-use-ai-earnings-research/): Do investors use AI for earnings research? Review primary evidence, study limits, and a filing-based plan for IR teams. See the sample audit.
- [Should Earnings Releases Use PDF or HTML for AI Search?](https://ms.house/blog/earnings-release-pdf-html-ai-answers/): Compare earnings release PDF or HTML for AI search. Learn how IR teams can publish clear tables, filing links and crawlable text. Use the checklist.
- [What Is an AI Search Investor Perception Study?](https://ms.house/blog/ai-search-investor-perception-study/): AI search investor perception study checks what AI engines tell investors against SEC filings, with dated evidence. Learn the method and see a sample audit.
- [How to Get Google AI Overviews to Show Your Latest Quarterly Results](https://ms.house/blog/google-ai-overviews-latest-quarterly-results/): How IR teams get Google AI Overviews and AI Mode to show the latest quarterly results: fix the cited page, label GAAP and adjusted figures, request a recrawl.
- [How to Correct Wrong Financial Figures in ChatGPT](https://ms.house/blog/correct-wrong-financial-figures-chatgpt/): How to correct wrong financial figures in ChatGPT: find the cited source, fix it, report it to OpenAI and re-check against the SEC filing. See the sample audit.
- [Regulation FD and AI Chatbot Answers: A Guide for IR](https://ms.house/blog/regulation-fd-and-ai-chatbot-answers/): Learn what Regulation FD requires, how SEC website and social media guidance applies, and how disclosure teams can correct public AI answers. See the steps.
- [How to Choose an AI Answer Audit Vendor: IR Guide](https://ms.house/blog/how-to-choose-an-ai-answer-audit-vendor/): How to choose an AI answer audit vendor: what IR teams should ask about method, SEC filing sources, engines, speed and price. Buy the Quarterly Audit.
- [AI Search Checklist for Investor Relations](https://ms.house/blog/investor-relations-ai-search-checklist/): An investor relations AI search checklist for earnings day: 15 checks for your release, IR site and third-party sources so AI engines report your quarter right.
- [Why AI Chatbots Get Earnings Wrong](https://ms.house/blog/why-ai-chatbots-get-earnings-wrong/): AI chatbots get earnings wrong because of old training data, outdated third-party pages, and releases that are hard to read. Here are the 6 causes and fixes.
- [What Is an Investor Answer Audit?](https://ms.house/blog/what-is-an-investor-answer-audit/): An investor answer audit checks what ChatGPT, Google AI Overviews and Copilot tell investors about a company, against its SEC filings. Learn how it works.

## Other
- [Full text for LLMs](https://ms.house/llms-full.txt)
- Every page has a Markdown version at its URL plus index.md