The Receipts tool helps content creators ensure that every statistic in their draft is verified, as research shows that pages containing numbers have about 60% more influence on final answers in AI search. While LLMs can “assemble” statistics based on probability, these fabricated figures can be repeated by generative engines at scale with a brand’s name attached. The Receipts tool suits in-house SEOs and content marketing managers who need to verify data for AI search visibility, while PPC specialists and general creative writers can skip it.
Who should use the Receipts tool and who should skip it
Readers who should use the Receipts tool
- In-house SEOs should use the Receipts tool to ensure that AI-generated content does not damage brand authority with fake statistics.
- Content marketing managers should use the Receipts tool to include real, verifiable statistics to increase the influence of their content in AI search results.
- Agency SEO staff should use the Receipts tool to automate the audit of numbers while scaling content production for clients.
- AI content editors should use the Receipts tool to ensure that every number in an LLM-assisted draft is traced to a primary source.
Readers who should skip the Receipts tool
- PPC specialists should skip the Receipts tool and instead consult Google Ads help guides for paid search queries.
- General creative writers should skip the Receipts tool and focus on general AI writing guides for non-data-heavy content.
What to do next about the Receipts tool
- Download the Receipts tool for Claude or ChatGPT from seopud.com/receipts to begin auditing content.
- Run the 9-point verification check on every numerical claim in a draft to ensure data integrity.
- Verify that every source is a primary study or report, not a blog that quoted a secondary blog.
Assembled numbers create brand risk by propagating hallucinations at scale
Assembled numbers occur when an LLM produces a statistic by predicting the most likely sequence of characters rather than retrieving a fact from a database. The model does not know the difference between a number it read and a number it constructed; it simply fills a “source-shaped” sentence with the most probable digits. This creates a significant brand risk because the AI system does not check for truthfulness. If a brand publishes an assembled number, the AI search engine repeats that error to every user who asks, and it does it at scale with the brand’s name attached.
What are Assembled numbers?
Assembled numbers are statistics produced by an LLM by predicting the most likely sentence structure rather than retrieving a fact. The model does not distinguish between a number it read and a number it constructed, leading to “source-shaped” phrases that lack a factual anchor.
Think of an LLM producing an assembled number like a painter who paints a face that looks real because they know where eyes usually go, rather than a portraitist who paints a specific person’s face from a photograph. Because the LLM is predicting the next token, it will produce a “2022 study” or a “73 percent” figure simply because those phrases appear frequently in its training data. This is not a retrieval of a fact; it is a mathematical assembly of a sentence.
Pages with verified numbers have 60% more influence on AI search answers
The influence of numbers on Generative Engine Optimization (GEO) is a primary signal for being selected by generative engines. Research from Princeton University and collaborators suggests that adding statistics is one of the few changes that help a page get pulled into AI-generated answers. A 2026 follow-up study measured three live platforms—ChatGPT, Google AI Overviews, and Perplexity—across more than 18,000 fetched pages.
The results showed that pages containing numbers and statistics had about 60% more influence on the final answer than pages without them. This influence is not limited to a single platform but applies across the generative engine ecosystem. To gain this advantage, practitioners must include verified numbers, but they must avoid the trap of using the AI’s own “assembled” figures.
The Receipts tool applies a 9-point verification framework to ensure data integrity
The Receipts tool automates a 9-point verification check to move content from “assembled” data to verified fact. The first step is determining if a section even needs a statistic, as many sections do not require numerical data. If a statistic is needed, the tool performs a search and traces the figure back to the original study or report.
The tool then opens and reads the source page to verify the figure. It checks whether confirming sources are independent or just quoting each other. Furthermore, it audits the sample size and the date, checks for newer data, and performs the entire check a second time before returning the result. Anything that fails any of these checks is thrown out, and the tool identifies the specific reason for the failure.
The core rule for this framework is that every number needs a verifiable source that is the original, not a blog that quoted a blog. The model will invent sources just as easily as it invents numbers, so the verification must happen on a page a human can actually open. The tool is free and available for both Claude and ChatGPT users.
The Receipts tool works on both ChatGPT and Claude
The Receipts tool provides versions for both Claude and ChatGPT to integrate into existing drafting workflows. Users hand the tool a draft, and it runs the verification logic on every number found in the text. The tool acts as a verification gate, allowing the AI to handle the heavy lifting of drafting and arguing while the human ensures the final output is factually sound.
How the AI Overviews differs from the Receipts tool in function
- AI Overviews
- A Google product used to provide AI-generated answers and summaries directly within the search results page.
- Receipts
- A content audit tool used to verify the accuracy of statistics in a draft before it is published.
A content marketer verifies conversion statistics for a blog post
Sarah is a content marketer who needs to write a blog post about e-commerce conversion rates. She asks ChatGPT for a statistic and the AI provides a 2022 study figure. Sarah takes that draft and runs it through the Receipts tool. The tool performs the 9-point check, fails to find a primary source for the 2022 study, and marks the number for removal.
Sarah replaces the fake number with a verified one from a primary study, ensuring the content is safe to publish and eligible for high AI visibility. If Sarah had published the AI’s “assembled” number and it was false, Google’s AI Overview might have repeated that error to thousands of users with Sarah’s company name attached.
The SEO Pub has not announced the Receipts tool’s free version limitations
- The SEO Pub has not announced the specific limitations on the free version of the Receipts tool.
Guessing wrong on a statistic costs content creators a 60% influence advantage
Guessing wrong on a statistic costs the brand its authority, as the AI system repeats the error to every user at scale with the company’s name attached. However, excluding a number to remain safe costs the content creator the 60% influence advantage in AI search results. The goal is not to stop using AI for drafting, but to move from creative prompting to verification auditing.
Frequently Asked Questions
Is the Receipts tool free?
The Receipts tool is free to use for both Claude and ChatGPT users. It is available for download at seopud.com/receipts.
What platforms does the tool work on?
The Receipts tool has versions available for both Claude and ChatGPT. These versions allow you to hand the tool a draft for a 9-point verification check.
How much influence do statistics have on AI search?
Pages containing numbers and statistics have about 60% more influence on final answers than pages without them. This finding comes from a 2026 follow-up study of over 18,000 fetched pages.
How is this different from just asking the AI to “cite its sources”?
The Receipts tool checks if the AI is inventing the sources as well as the numbers. It requires a page that you can actually open and find the number on, rather than relying on a link the model might have fabricated.
Reported from Never Let AI Invent Your Statistics (Free Tool) | SEO Walks Ep. 45, published by The SEO Pub.