# Sigzen AI
> AI Visibility & Automation Studio. Part of Sigzen Technologies Pvt Ltd (est. 2015), an ISO 27001 and ISO 9001 certified technology company.

## Services
- [AI visibility (AEO/GEO)](https://sigzenai.com/ai-visibility): audit, six-week sprint, monthly programme across ChatGPT, Gemini, Perplexity, Claude, Microsoft Copilot and Google AI; measured as share of answer with confidence intervals. Nine services listed with anchors on the page.
- [AI automation](https://sigzenai.com/ai-automation): sales, marketing, support and back-office workflows built as agents on the CRM, helpdesk or ERP you already run; one workflow live in 4-8 weeks, fixed price, savings signed off. Ten services listed with anchors on the page.
- [AI Visibility Audit](https://sigzenai.com/ai-visibility/audit): the diagnose step — 150 prompts, six engines, each prompt on three separate days, share of answer with confidence intervals, read out in ten working days.
- [Pricing (USD/INR)](https://sigzenai.com/pricing): three published tiers and what each includes.
- [Free AI visibility check](https://sigzenai.com/free-ai-visibility-score)

## Industries
- [All industries](https://sigzenai.com/for): the ten industries we work with, each with its own buyer prompt set.
- [B2B SaaS and tech](https://sigzenai.com/for/saas) · [E-commerce and D2C](https://sigzenai.com/for/d2c) · [Financial services and insurance](https://sigzenai.com/for/financial-services) · [Healthcare providers](https://sigzenai.com/for/healthcare) · [Manufacturing and industrial](https://sigzenai.com/for/manufacturers): the prompts each industry's buyers ask, the pains, how an engagement runs, and which services apply.
- [Travel and hospitality](https://sigzenai.com/for/travel) · [Law firms](https://sigzenai.com/for/legal) · [Accounting and advisory firms](https://sigzenai.com/for/professional-services) · [Automotive retail](https://sigzenai.com/for/automotive) · [Education](https://sigzenai.com/for/education): as above.

## Proof and method
- [Results and weekly share-of-answer dashboard](https://sigzenai.com/proof)
- [Playbooks: how we measure, optimise and what we refuse; glossary](https://sigzenai.com/playbooks)
- [Insights: teardowns and methods](https://sigzenai.com/insights)

## Company
- [About Sigzen AI](https://sigzenai.com/about)
- [Sigzen Technologies (parent company)](https://www.sigzen.com)

## Articles
- [Can an AI agent post invoices into your ERP safely? Controls, failure modes and cost per invoice](https://sigzenai.com/insights/ai-agent-invoice-matching-erp-controls): AI agents in operations. It can, if the agent only drafts and a person or a rule-based control approves before anything posts. A safe invoice agent validates on the server, checks each invoice against its purchase order and receipt, blocks duplicate supplier invoice numbers, writes as its own user with limited rights and routes exceptions to your team. Measure cost per invoice first.
- [What does GEO cost? Published prices, what they include, and agency vs tool vs in-house](https://sigzenai.com/insights/geo-pricing-published-prices): Costs and buying. It depends on what is included, and many agencies do not publish a price at all. Published GEO prices fall into tracking tools billed monthly by prompt volume, agency retainers that often bundle SEO or content, and one-off audits. Compare scope before price. Sigzen AI publishes its own: audits $3,500 (₹1.5L), Growth $3,500 (₹1.25L) a month.
- [ChatGPT says something wrong about your company. Where did it come from, and how do you fix it?](https://sigzenai.com/insights/chatgpt-wrong-about-your-company-fix): Citations and accuracy. Trace the error to its source before you report it. Wrong answers often repeat something the engine read, like an old pricing page or stale listing. Fix it there, state the correct fact clearly on your own site, report it through the engine's feedback route and recheck the same prompts on a schedule. No engine publishes a correction timeline.
- [Your buyers shortlist in ChatGPT. How do you prove it shows up in pipeline?](https://sigzenai.com/insights/prove-ai-visibility-pipeline-b2b): Measurement and method. Not from referral traffic alone, because buyers who shortlist in ChatGPT can arrive later by typing your name. Pair a weekly share-of-answer series with branded search, direct traffic, an AI-assistant option in your how-did-you-hear field and AI referrals. Write down what you expect before the work starts, and read the trend over a quarter.
- [Why doesn't ChatGPT recommend your products? A playbook for e-commerce brands](https://sigzenai.com/insights/why-chatgpt-doesnt-recommend-your-products): Industry playbooks. Check two things: whether the sources an engine trusts for your category mention you, and whether your product data is easy for it to read. OpenAI says ChatGPT shopping draws on structured product data and third-party content. Fix your feed and product facts first, then earn the reviews and editorial guides that already name your competitors.
- [Which process should you hand to an AI agent first? A scoring model you can run in an afternoon](https://sigzenai.com/insights/which-process-to-automate-first-ai-agent): AI agents in operations. Start with the process that combines high volume, a known cost per transaction, a low exception rate and mistakes you can reverse. In our view that is usually a document or request queue, such as invoice matching or tier-1 support. Score each candidate on those four inputs before you build anything, and stop if none clears the bar.
- [Can you trust your AI visibility score? A measurement spec to hand any vendor](https://sigzenai.com/insights/ai-visibility-score-buyer-spec): Measurement and method. Only if the report shows how it was measured and how wide its margin of error is. AI engines often give different answers to the same prompt, and repeat runs of one prompt are not independent, so many reports understate their error. Ask for the prompt set, runs, engines, countries and languages, dates, and an interval on every number.
- [Do schema, llms.txt and Reddit get you cited by AI? What the evidence says](https://sigzenai.com/insights/schema-llms-txt-reddit-ai-citations-evidence): Citations and accuracy. Not on their own. In an Ahrefs test on pages that were already heavily cited, adding schema did not measurably raise citations in ChatGPT or Google AI Mode. Google says its AI features need no special files or markup. And company-owned websites drew about 57% of citations across eight engines (47% on ChatGPT). Treat schema and llms.txt as hygiene.