Technical Capabilities
AI Search Rankings Technical Capabilities
AI Search Rankings is an Answer Engine Optimization agency that designs, builds, and operates production AI systems on the OpenAI API and the Google Gemini API. It has 21 AI systems in production, including 7 client systems and platforms, and has stored 4,978 real AI engine answers. Every figure here was measured on October 15, 2026.
Maintained by Jagdeep Singh, founder. Figures measured on October 15, 2026. Company facts are governed at AI Search Rankings brand facts.
Measured on October 15, 2026
- AI systems in production
- 21
- Real AI engine answers stored and analyzed
- 4,978
- Distinct websites audited by the site-wide AI audit
- 453
- Automated test and gate files in the project
- 223
Each figure is a count of production records, and it states what it counts.
Key Takeaways
Five things to know about how AI Search Rankings engineers AI
- We build and run real AI systems. 21 are in production, and anyone can open the public ones today.
- We measure what AI engines really say. We ask ChatGPT, Google Gemini, and Google AI Mode the questions buyers ask, and we store every answer.
- Code decides the result, not the model. A model never reports whether a business was named. Code reads the stored answer.
- A person approves what reaches a client. A model cannot write a legal clause, set a price, or publish on its own.
- We publish our limits. We do not guarantee AI rankings, and every figure states what it counts and when it was measured.
In Production
Which AI systems does AI Search Rankings run in production?
AI Search Rankings runs 14 AI systems on its own platform. Some are public tools that anyone can use. Some serve clients inside the client portal. Some are used by our own team to deliver the work. Each one is listed below with what it does.
Free AI Visibility Audit Tool
Shows a business what AI engines can confirm about it, what is missing, and what is at risk, with a cited source for every finding.
Open Free AI Visibility Audit ToolPublic AI diagnostic checks
Thirty free checks that each answer one business question with evidence and a clear next action.
Open Public AI diagnostic checksSite-wide AI audit
Scores a whole website for AI answer readiness across 47 factors and returns a prioritized report.
Open Site-wide AI auditPage-level AI audit
Scores a single page and lists the tasks that would improve it.
Open Page-level AI auditAI Visibility Tracking
Records what ChatGPT, Google Gemini, and Google AI actually answer for the questions buyers ask, and reports who is named.
Open AI Visibility TrackingGoverned business fact vault
Holds the verified facts about a client business, with evidence and versions, so every AI system works from the same truth.
Grounded document generator
Writes client deliverables from measured status and files them as web pages, Google Docs, Sheets, and Slides.
Unified inbox with an AI operator
Proposes a validated reply and next action for each client conversation, and a person decides what is sent.
Agreements with AI drafting
Drafts scope and cost around legal clauses that no model can change, then collects a signature and sets up the project.
Content engine
Plans, writes, and checks long form content, and holds every page at a publication gate until a person approves it.
News engine
Researches a development, verifies every source, and prepares an article for an editor. It never publishes on its own.
Open News engineWorkshop Studio
Builds a complete workshop with modules, exercises, and a scored assessment.
Open Workshop StudioLocal audit and lead intelligence
Finds real, operating businesses through Google Places and audits how ready each one is for AI search.
Structured decision analysis on OpenAI
Turns one decision into a saved multi-step analysis, with every step returned as schema-valid data.
Client Systems and Platforms
Which AI systems has the team built for clients and as products?
The same team has built 7 more AI systems that run in production on their own domains. Some were built for clients and are published in our portfolio. The others are products we built and run. Every one is live, so you can open it and see the work for yourself.
iBuyRobotics
A robotics store where AI writes product content, sorts products into categories, and produces brand compliant product images.
Visit iBuyRobotics (opens in a new tab) Read the iBuyRobotics projectLegal Documents Hub
A legal document platform where a person answers plain questions and previews a state aware document before paying.
Visit Legal Documents Hub (opens in a new tab) Read the Legal Documents Hub projectAI Answer Tracking
Shows a brand whether AI engines recommend it, cite its website, or name a competitor, and what to fix next.
Visit AI Answer Tracking (opens in a new tab)Entify
Builds an entity map and a content plan, so a business can be understood and cited by AI engines.
Visit Entify (opens in a new tab)AI Focus Tool
A private focus workspace that protects one priority and tests each new idea before it can interrupt the work.
Visit AI Focus Tool (opens in a new tab)Agent Skill Source
A directory of portable skill packages that make an AI agent better at a specific job.
Visit Agent Skill Source (opens in a new tab)Self Improve Hub
Guided personal growth paths and tools, with content and visuals produced with AI.
Visit Self Improve Hub (opens in a new tab)See more client work in the AI Search Rankings portfolio and the AI Search Rankings case studies.
Platforms
Which AI platforms does AI Search Rankings build on?
We build on the OpenAI API and the Google Gemini API, and we use each one for the work it does best. We are an active member of the OpenAI Partner Network, and a customer of every platform in this table. Naming a platform does not mean that platform endorses our results.
| Platform | Provider | What we use it for |
|---|---|---|
| OpenAI API | OpenAI | Collecting real ChatGPT answers for tracked buyer questions, and structured decision analysis in which every step must return schema-valid data. |
| Google Gemini API | Grounded research with Google Search and Google Maps, structured extraction of business facts, content generation, and narration audio. | |
| Google Places API | Confirming that a business is real and operating before it is shown as a lead or a competitor. | |
| Google Drive, Docs, Sheets, and Slides | Filing generated client documents as native files in the client project folder. | |
| Stripe | Stripe | Checkout for packages and add-on services, with each payment settled once. |
Which AI engines do we measure, and how?
The same buyer question is asked of every engine, so a business can see where it is named and where it is missing. As of October 15, 2026, we track 562 buyer questions and have captured 10,381 source citations from AI answers.
- ChatGPTAsked through the OpenAI API. Each result is a sampled response test.
- Google GeminiAsked directly through the Google Gemini API.
- Google AI ModeMeasured through Google's own search-grounded model, the closest available view of Google AI answers.
Clients see these results inside AI Visibility Tracking, Buyer Question Tracking, and Competitor Visibility Tracking.
Engineering Standards
How does AI Search Rankings keep AI output accurate?
We hold every AI system to 7 standards. Each one is enforced by the system itself, so it does not depend on anyone remembering to follow it.
As of October 15, 2026, 3,614 AI generations are logged with their tokens, cost, and outcome, and the project holds 223 automated test and gate files.
The model never grades itself
Whether a business was named in an AI answer is decided by code that reads the stored answer. We never ask a model whether the client appeared.
Output must fit a schema and pass validation
A model can return only the shape we define. Code then checks the result against real records before anyone sees it.
A failure is never recorded as a result
A failed AI call is excluded and explained. It is never stored as a miss against a client.
Generated once, stored, and reused
An AI output is saved and read back. Reloading a page never pays for the same answer twice.
Facts come from a governed source
Phone numbers, prices, services, and claims are read from verified records. Output that contradicts them is rejected.
A person approves what reaches a client
AI suggestions enter a review queue. A person accepts or rejects each one before it has any effect.
Every call is accounted for
Each AI call is logged with its model, its tokens, its cost, and its outcome, and public tools stop at a daily cost limit.
Limits on AI
What is a model never allowed to do in our systems?
Responsible use starts with a short list of things AI may not do. These 6 limits are built into the systems, and a person holds the decision in each case.
- Write or change a legal clauseA contract must say exactly what a person approved.
- Set or change a priceA price is a commitment, so it is always read from the published catalog.
- Report its own measurement resultA model that grades itself cannot be trusted.
- Publish a page or message a client on its ownAnything that carries the company name is approved by a person first.
- State a guaranteed result, an invented statistic, or an invented reviewThese are false claims, and automated checks remove them.
- Invent that a business existsExistence is a fact, so it comes from a data source and never from generation.
Governance
Who is accountable for responsible AI, and what happens when something goes wrong?
Jagdeep Singh, the founder, is accountable for how AI is used at AI Search Rankings. When a system detects a problem, it responds on its own and puts the decision in front of a person.
Published policies
- A client visibility score drops sharplyA high priority conversation is opened for the team.
- An AI engine rejects our credentialThat engine is removed from the run, and the operator is told what to fix.
- A run stores no resultIt is recorded as failed and never as complete.
- Generated text breaks a brand, price, or claim ruleThe text is blocked and listed for a reviewer.
- A public tool reaches its daily cost limitIt stops accepting new runs for the day.
Proof
What do the measured results show?
The figures below were measured on October 15, 2026. The client outcomes are published case studies, and each one states its evidence and what it does not prove.
- Real AI engine answers stored and analyzed
- 4,978
- ChatGPT answers collected through the OpenAI API
- 1,592
- Source citations captured from AI answers
- 10,381
- Site-wide AI audits run
- 487
- Distinct websites audited by the site-wide AI audit
- 453
- AI generations logged with tokens, cost, and outcome
- 3,614
Published client outcomes in AI search
Toolsforhuman.com
AI Search Rankings used schema-first Answer Engine Optimization, layered JSON-LD, robust canonicals, and multilingual hreflang to help Toolsforhuman.com earn 26,300 Microsoft Copilot citations across 160 plus pages, including Spanish-language pages, in a sample window of about three months.
What this does not prove. The result applies to the documented sample window and does not guarantee future citations.
Read the Toolsforhuman.com case studyLaser Tagging Inc.
AI Search Rankings rebuilt the Laser Tagging Inc. digital brand and website, expanded its service-area relevance across Newark, Fremont, San Jose, and nearby Bay Area communities, and documented 4,460 client-reported Google generative AI impressions in the selected last-three-month window.
What this does not prove. The report measures Google generative AI impressions. It does not prove a ChatGPT recommendation, a click, a booking, a lead, or revenue.
Read the Laser Tagging Inc. case studySacLaserTag
AI Search Rankings rebuilt the SacLaserTag website in Sacramento, California into an answer-led entertainment venue platform with a page for each attraction, audience, and community, and documented 6,340 client-reported Google generative AI impressions across 73 URLs and assets in the selected last-three-month window, up from 1,120 in the previous three months.
What this does not prove. The report measures Google generative AI impressions. It does not prove a citation, a click, a party booking, a lead, or revenue, and the page-row sum of 7,070 differs from the 6,340 property total because Google aggregates the two views differently.
Read the SacLaserTag case studyMr Locksmith Lockout LLC
AI Search Rankings rebuilt the Mr Locksmith Lockout website in Norwich, Connecticut from WordPress onto a structured architecture with a page for every town served, every service quoted, and every vehicle make carried. The client-supplied Google Search Console export taken on October 4, 2026 records 1,233 generative AI impressions across 89 URLs for the preceding three months, up from 138 in the previous three months, with 72 of those URLs recording impressions for the first time.
What this does not prove. The export is a pages view, so no property-level total was supplied and none is published. The figure measures Google generative AI impressions and does not prove a citation, a click, a phone call, a dispatched job, a lead, or revenue.
Read the Mr Locksmith Lockout LLC case studyRead how AI Search Rankings measures results and what AI Search Rankings guarantees.
Leadership
Who leads the engineering at AI Search Rankings?
Jagdeep Singh is the Founder and Principal AI Architect at AI Search Rankings, with 12+ years of SEO and digital marketing experience.
- He previously led search programs at Stanford Health Care, Cisco, and Dignity Health.
- He holds 9 Google Skills course credentials in generative AI, and each one has a public badge that can be verified at the issuer.
- He holds a Web Programming (PHP, XHTML, JavaScript, CSS) certificate from California State University, East Bay, issued in June 2009.
- He is accountable for the engineering standards and the limits on AI described on this page.
OpenAI Partner Network credentials
The founder holds 4 credentials issued by the OpenAI Partner Network. Each one links to the issuer's own verification page.
-
Verified by the issuer
OpenAI Technical Practitioner
Recognizes practical technical judgment for routing, designing, and validating OpenAI-powered solutions across architecture, platform, security, governance, and data.
Verify this credential (opens in a new tab) -
Verified by the issuer
OpenAI Consultative Solutions Practitioner
Recognizes the ability to qualify AI opportunities, shape priority use cases and value hypotheses, map likely OpenAI solution paths, and recommend next steps.
Verify this credential (opens in a new tab) -
Verified by the issuer
ChatGPT Solutions Practitioner
Recognizes seller-level judgment to qualify, frame, prioritize, position, and hand off ChatGPT opportunities around real customer workflows.
The official badge image is shown on the issuer's verification page.
Verify this credential (opens in a new tab) -
Verified by the issuer
OpenAI Foundational Knowledge
Recognizes foundational fluency in OpenAI, AI concepts, responsible AI, the product portfolio, and common solution patterns.
Verify this credential (opens in a new tab)
What we claim, and what we do not
A capability statement is only useful when it is exact. This is where our claims stop.
What we claim
- We designed and built every AI system listed on this page, and we operate the ones on our own platform.
- AI Search Rankings is an active member of the OpenAI Partner Network at the Registered tier.
- We measure real answers from AI engines and store every one.
- We publish what each figure counts and the date it was measured.
- We label every client result with its evidence and its limits.
What we do not claim
- We do not guarantee AI rankings, citations, or recommendations, because third parties control those systems.
- We do not hold a third-party security or AI compliance certification.
- We do not describe a course credential as a professional certification.
- We do not claim that OpenAI, Google, or any other platform endorses our results or guarantees a client outcome.
Questions
Technical capabilities FAQ
Direct answers about how AI Search Rankings builds, governs, and measures its AI systems.
What technical capabilities does AI Search Rankings have?
AI Search Rankings designs, builds, and operates production AI systems. 21 are in production today. 14 run on its own platform, including the Free AI Visibility Audit Tool, 30 public AI diagnostic checks, and AI Visibility Tracking. 7 more are client systems and platforms that run on their own domains. The systems run on the OpenAI API and the Google Gemini API.
Does AI Search Rankings use the OpenAI API?
Yes. AI Search Rankings uses the OpenAI API in production to collect real ChatGPT answers for the questions buyers ask, and for structured decision analysis in which every step must return schema-valid data. 1,592 ChatGPT answers had been collected and stored as of October 15, 2026. AI Search Rankings is an active member of the OpenAI Partner Network at the Registered tier.
Which AI engines does AI Search Rankings measure?
AI Visibility Tracking measures three AI engines: ChatGPT through the OpenAI API, Google Gemini through the Google Gemini API, and Google AI Mode through the search-grounded model from Google, which is the closest available view of Google AI answers. Each ChatGPT result is a sampled response test, so it can differ from what one person sees in a single ChatGPT session.
How does AI Search Rankings stop AI from inventing facts?
Four controls work together. A model can return only the shape a schema allows. Code checks the result against real records before anyone sees it. Business facts such as phone numbers and prices are read from a governed source, and output that contradicts them is rejected. Automated checks remove a guaranteed result, an invented statistic, or an invented review.
Who is responsible for AI governance at AI Search Rankings?
Jagdeep Singh, the founder of AI Search Rankings, is accountable for how AI is used. A model may not write a legal clause, set a price, report its own measurement result, or publish on its own. A person approves anything that reaches a client.
Does AI Search Rankings hold security or AI certifications?
AI Search Rankings does not hold a third-party security or AI compliance certification. The founder holds 9 Google Skills course credentials in generative AI, and each one has a public badge that can be verified at the issuer. He also holds 4 OpenAI Partner Network credentials, OpenAI Technical Practitioner and OpenAI Consultative Solutions Practitioner and ChatGPT Solutions Practitioner and OpenAI Foundational Knowledge, issued on October 18, 2026 and verifiable at the issuer. He also holds a Web Programming certificate from California State University, East Bay. The agency publishes its privacy policy, its accessibility statement, and its measurement method.
How were the figures on this page measured?
Every figure on this page was measured on October 15, 2026 by counting records in the production systems. Each figure states what it counts. A failed AI call is never counted as a result, and a reused report is never counted as a new measurement.
Does AI Search Rankings guarantee AI rankings or citations?
No. AI Search Rankings improves clarity, entity confidence, AI readability, and citation readiness. It does not guarantee AI rankings, AI Overview placement, ChatGPT citations, or third-party recommendations, because those systems are controlled by third parties.
Next Step
See what AI engines say about your business today
The same systems described on this page are free to try. Enter your website once, and the Free AI Visibility Audit Tool shows what AI engines can confirm about your business, what is missing, and what to fix first. The team responds within 24 hours, Monday to Friday, 9am to 6pm Pacific Time.