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Salesforce · AI / ML · Filed May 9, 2025 · USPTO published Nov 12, 2026 · This week's release

Salesforce Files Patent for an AI That Writes Hidden Text to Lift Search Rankings

Salesforce describes an AI that studies the pages beating yours in search, then rewrites the hidden labels on your own page to match. The goal is to climb the rankings without anyone editing code by hand.

A webpage layout reveals hidden code and text fields where artificial intelligence inserts keywords to lift search engine rankings. Drawing from patent filing US 2026/0359377 A1.
A webpage layout reveals hidden code and text fields where artificial intelligence inserts keywords to lift search engine rankings.All 13 drawings ↓
Publication number
US 2026/0359377 A1(US20260359377A1)
Applicant
Salesforce, Inc.
Filed · Published
May 9, 2025 · Nov 12, 2026
Inventors
Nikhil KAPRE, Tarundeep BATRA, Jayakrishnan Radhakrishna PILLAI
Status when we published
Waiting for an examiner
Document
20 claims
US classification
707/735
Examiner
HARPER, ELIYAH STONE (Art Unit 2166)

What Salesforce's search-ranking AI agent does

A small shop sells hand-stitched hiking boots, and its product page is full of lovely writing. Yet the page is buried deep in search results, because the spots search engines read most closely, like the hidden page title and the written descriptions of images, are thin or empty.

Salesforce's patent application describes an AI agent that fixes that for you. It first looks at pages already ranking at the top for your topic and works out what they do well. Then it reads the business text on your own page, brainstorms keywords, keeps only the ones that truly fit your business and topic, and writes them into those hidden spots.

You can approve the keywords before they go live, and the system can work through many pages at once.

From the filing · CLAIM 1
… generating, using an artificial intelligence (AI) agent based on an instruction and the business information, a plurality of keywords for the second section of the webpage, wherein the instruction comprises: a goal for the AI agent, the goal being associated with the business information; and an action to be performed by the AI agent in order to achieve the goal …

Translation: An AI agent creates keywords based on specific business goals and instructions.

How the agent picks keywords for hidden tags

The filing starts by splitting a web page into two kinds of sections. One is the business section: the visible text about your products, services or ideas. The other is the set of spots that search engines weigh heavily when they score a page, such as meta tags (short descriptions tucked into the page's code), image alt text (the written description of a picture) and other metadata that visitors never see.

Next, an AI agent (an AI program that is handed a goal and the steps to reach it) generates a list of keywords for the business section. Its instructions come from a first look at other top-ranking pages on the same topic: the system identifies what those pages do well, then tells the agent to work those traits into its keywords.

The raw list can include filler words and terms that fit the business but not the page's topic. So the system:

  • Keeps only the keywords that are relevant to the business information
  • Aligns them to the page's topic, for example by choosing closely related terms
  • Inserts the survivors into the hidden spots, up to each spot's length limit

Around that core, the filing also describes an optional step where a person approves the keywords, a page score that is saved and compared against a threshold, real-time updates, and a batch mode for processing many pages at once.

From the filing · THE ABSTRACT
Disclosed herein are system, method, and computer program product aspects for dynamically elevating a SEO score of a page based on an automated artificial intelligence powered and agent centric framework.

Translation: The system uses automated artificial intelligence to automatically boost a webpage search ranking.

Why store owners could care about this filing

If you run a small online shop or a company blog, the pitch is simple: ask for better search visibility in plain language and let an AI do the fiddly work of rewriting page titles, descriptions and image labels. The filing describes taking requests in everyday words, so nobody has to edit code page by page.

For Salesforce, the filing ties the idea to its existing product families: it names page readers built for its Commerce, Sales and Marketing clouds. Pages with well-filled hidden labels can show up higher in search results, which means more visitors without paying for ads. For shoppers, the flip side is that more pages may end up tuned by software to look like whatever the top results already do.

Salesforce lands its 27th filing we've tracked since May in our AI agents acting for you watchlist, adding to earlier work like learning from bad examples and teaching robots by hand.

Source: US 2026/0359377 A1 at the USPTO (PDF). Full patent text and figures are in the official publication.

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The drawings · 13 sheets

13 drawing sheets from US 2026/0359377 A1 · click any drawing to enlarge

Connecting AI agents, web engines, and human reviewers together, drawing sheet 1 from US 2026/0359377 A1
Sheet 1 Connecting AI agents, web engines, and human reviewers together
Software parts that plan and create automated text updates, drawing sheet 2 from US 2026/0359377 A1
Sheet 2 Software parts that plan and create automated text updates
Core tools that scan pages, measure quality, and rewrite text, drawing sheet 3 from US 2026/0359377 A1
Sheet 3 Core tools that scan pages, measure quality, and rewrite text
Cloud databases storing customer, sales, and marketing information, drawing sheet 4 from US 2026/0359377 A1
Sheet 4 Cloud databases storing customer, sales, and marketing information
Scoring tools that monitor search performance and track site traffic, drawing sheet 5 from US 2026/0359377 A1
Sheet 5 Scoring tools that monitor search performance and track site traffic
Automated actions that publish new search text to a website, drawing sheet 6 from US 2026/0359377 A1
Sheet 6 Automated actions that publish new search text to a website
Page scanners that pick out and rank top keywords, drawing sheet 7 from US 2026/0359377 A1
Sheet 7 Page scanners that pick out and rank top keywords
Matching relevant keywords to the right spots across a website, drawing sheet 8 from US 2026/0359377 A1
Sheet 8 Matching relevant keywords to the right spots across a website
Show the other 5 sheets
Tools that pull page code from various cloud platforms, drawing sheet 9 from US 2026/0359377 A1
Sheet 9 Tools that pull page code from various cloud platforms
Connecting user prompts to AI analysis and page updates, drawing sheet 10 from US 2026/0359377 A1
Sheet 10 Connecting user prompts to AI analysis and page updates
Hidden code and visible text on a webpage, drawing sheet 11 from US 2026/0359377 A1
Sheet 11 Hidden code and visible text on a webpage
Steps the AI follows to generate and hide search terms, drawing sheet 12 from US 2026/0359377 A1
Sheet 12 Steps the AI follows to generate and hide search terms
Basic server hardware that runs the optimization tools, drawing sheet 13 from US 2026/0359377 A1
Sheet 13 Basic server hardware that runs the optimization tools
Patent filing page

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