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FAQ

Sigzen AI publishes every answer it gives before a first call: 121 questions on the free check, AI visibility, the audit, pricing, automation, our method and each of the ten industries. Every answer is complete on its own, and each one links to the page it belongs to.

Working with Sigzen AI

What generative engine optimisation is, how fast results arrive, what we guarantee, which engines and industries we cover, and who is behind the studio.

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  • Is generative engine optimisation real, or rebranded SEO?

    Generative engine optimisation is real work and measurable: Sigzen AI reports share of answer, how often you're named or cited across 150 buyer prompts on five engines, with confidence intervals, before and after. The test for any provider: if the work stops at on-page SEO and reports rankings, it is rebranded SEO. GEO adds measurement across the engines and off-site citation work that SEO retainers don't cover.

  • How long until we see a result?

    A Sigzen AI audit reads out 10 working days after kick-off, with every prompt run on three separate days inside that window. Programmes target a measurable change in share of answer within 90 days, and the dashboard updates weekly from day one.

  • Do you guarantee citations?

    Sigzen AI guarantees citations on qualifying programmes, and the guarantee is defined: if after 90 days you are not cited on at least one engine for at least 10% of your prompt set, we continue the programme at no fee for up to 60 further days. It is standard on the Scale tier; the audit tells us in writing whether a Growth programme qualifies.

  • What about our SEO agency?

    Your SEO agency stays. Sigzen AI works alongside SEO teams and often through them, measuring share of answer rather than rankings, and we offer a white-label version of the audit for agencies to run under their own brand.

  • Which engines do you measure, and how?

    Sigzen AI measures five engines: ChatGPT, Gemini, Microsoft Copilot, Google AI Overviews and Google AI Mode. Our AI answer monitor reaches four of them through a licensed AI-answer data provider and Gemini through Google's Gemini API with Search grounding. In an audit every prompt runs on every engine on three separate days; programmes are measured every week.

  • What do you refuse to do?

    Sigzen AI refuses astroturfing, fake reviews, private blog networks, scraping personal data, and anything that would get a client removed from an engine's sources. The method is published so you can check.

  • Which industries do you work with?

    Sigzen AI works with ten industries, each with its own prompt-set template: B2B SaaS and tech, e-commerce and D2C, financial services and insurance, healthcare providers, manufacturing and industrial, travel and hospitality, law firms, accounting and advisory firms, automotive retail, and education. If yours is not listed, the free score still works: the prompts are drafted for your category.

  • Where can I read your method and research?

    The Sigzen AI method is published on the playbooks page with a version number. Long-form research is in Insights, written by the Sigzen AI Editorial Team, with every figure linked to its primary source and our own interest declared where we sell the work discussed.

  • Who is behind Sigzen AI?

    Sigzen AI is the AI studio of Sigzen Technologies Pvt Ltd, an ISO 27001 and ISO 9001 certified technology company founded in 2015, based in India and working with clients worldwide.

The free AI Visibility Score

What happens after you enter a domain, which prompts and engines the free check runs, how competitors are chosen, and what the emailed report contains.

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  • What happens after I enter my domain?

    After you enter your domain and email, Sigzen AI sends you an email with a link that starts the check. Click it and you can watch the check run; it takes a few minutes. When it has finished, the full report arrives by email as a PDF, with a link to the same report that stays live for 30 days.

  • Which prompts does the free check run?

    The free check runs ten buyer prompts drafted for your category: we read your homepage to place the business, take the prompt template for that industry and fill it with your category and the competitors the engines name. Most prompts are generic category questions in which your brand is not named; a few are comparisons and alternatives. Each prompt runs on five engines, three times.

  • How are the competitors in the free check chosen?

    The competitors in a free check come from the engines' own answers: two discovery prompts ask two engines who the leading providers in your category are, and the rivals they name are the ones measured against you, up to three. If you name competitors on the form, they are used first. Directories, review sites and the vendor of a platform you build on are left out, because a buyer cannot hire them instead of you.

  • Which engines does the free check cover?

    The free check covers the same five engines as a paid audit: ChatGPT, Gemini, Microsoft Copilot, Google AI Overviews and Google AI Mode, reached through our AI answer monitor. Every prompt runs three times on each engine, so the share of answer in your report comes with a margin of error rather than from one lucky answer.

  • What does the free report contain?

    The free report is a PDF with your share of answer across the five engines and its 95% range, the results by engine, the competitor named most often, and the questions where a competitor was named and you were not, with what closing those gaps would be worth in share of answer. A second PDF, your AI visibility plan, prices the three programme tiers for you and sets out the first 90 days and the 90-day citation guarantee.

  • Is the free score really free, and do I need an account?

    The free score is free and needs no account: Sigzen AI uses your email to send the report and one follow-up, and you can unsubscribe at any time. Nothing is installed on your site and nothing on it needs to change for the check to run; we only read the public homepage to draft the prompts.

  • How is the free score different from the AI Visibility Audit?

    The free score is a sample of the audit: ten prompts run three times on five engines against up to three competitors, read by email. The AI Visibility Audit runs 150 approved prompts on every engine on three separate days, adds the competitor benchmark, the citation-source map, the hallucination and sentiment register and a 90-day plan with owners, and is read out live in ten working days.

  • What if my business is not in one of your ten industries?

    The free check still works outside the ten listed industries: the prompts are drafted for your category from your homepage, so any business that buyers ask an AI engine about gets a usable set. The industry templates only decide the mix of questions; the category, the competitors and the wording come from your own market.

The free AI crawler check

Which AI crawlers the robots.txt check looks for, what blocking GPTBot does, what no robots.txt means, training versus search crawlers, and what the check reads.

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  • Which AI crawlers does the free crawler check look for?

    The free crawler check looks for sixteen named crawlers: the OpenAI, Google and Microsoft bots that feed the five engines Sigzen AI measures, and the crawlers of Perplexity, Anthropic, Apple, Amazon, Meta, ByteDance and Common Crawl. The list carries a version date and is reviewed against the vendors' published names each quarter.

  • Does blocking GPTBot remove a site from ChatGPT answers?

    Blocking GPTBot stops OpenAI reading the site for training, not for answers: ChatGPT's search answers are fetched by OAI-SearchBot and ChatGPT-User, which obey their own robots rules. A site that blocks all three can still be named from what other sites say about it, but never from its own pages.

  • What does it mean when a site has no robots.txt?

    A site with no robots.txt allows every crawler by default, because the file only ever adds restrictions. For AI visibility that is the open setting, so nothing needs fixing. A robots.txt is worth adding only to keep crawlers out of admin, search or API paths, and it must then allow the rest.

  • Should a site block AI training crawlers but allow AI search crawlers?

    A site can block training crawlers and allow search crawlers, because the vendors name them separately: GPTBot and ClaudeBot train models, while OAI-SearchBot, Claude-SearchBot and Googlebot fetch pages for answers. Sigzen AI's advice is to decide the two separately; blocking the search crawlers removes you from the answers you want.

  • Does the crawler check read anything besides robots.txt?

    The crawler check reads only robots.txt, over https and then http, with a six-second timeout and a size cap, and stores nothing about the domain. It does not crawl pages, read meta tags or test server-side blocking, so a crawler the file allows can still be refused by a firewall; Sigzen AI's audit checks that from the engines' answers.

The free buyer-prompt generator

Where the generated prompts come from, why some templates are skipped, checking visibility yourself, how the generator differs from an audit set, and what is stored.

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  • Where do the free prompt generator's questions come from?

    The free prompt generator's questions come from the ten industry templates Sigzen AI drafts its audits from: thirty prompts per industry in a fixed mix of generic, comparison, alternative, cost and trust questions, with placeholders for the product, country, brand and competitors. The page fills the placeholders from what you type; no model is involved and nothing is invented about your business.

  • Why does the prompt generator skip some templates?

    The prompt generator skips a template when one of its placeholders has nothing to fill it: comparison prompts need a competitor, review and cost prompts need a brand, and need-based prompts need a buyer's situation. The page tells you how many were skipped. In an audit, Sigzen AI fills every one of the thirty from a kick-off call and you approve the set.

  • Can I check my AI visibility myself with the generated prompts?

    You can check your AI visibility yourself with the generated prompts by asking each one in ChatGPT, Gemini, Microsoft Copilot and Google AI and counting the answers that name you. Ask each prompt on three different days, because answers vary; one answer is an anecdote. The free score from Sigzen AI does the same on ten prompts and adds the margin of error.

  • How is the generator different from the prompt set in an audit?

    The generator gives ten prompts filled from a template with no knowledge of your business; an audit from Sigzen AI runs 150 prompts drafted from your site, your category and the competitors the engines actually name, approved by you, on five engines on three separate days. The generator shows the shape of the questions; the audit measures the answers.

  • Does the prompt generator store what I type?

    The prompt generator stores nothing you type: the values travel in the page address, the server fills the templates and returns the page, and no record is written. Sigzen AI only keeps a lead when you choose to run the free score and give an email address for the report.

The share-of-answer calculator

How the value is worked out, what a realistic target is, where the context figures come from, what data it uses, and why it promises no return.

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  • How does the share-of-answer calculator work out the value?

    The share-of-answer calculator multiplies the buyers who ask an AI about your category each month by the change in share of answer you enter and by the conversion rate you give, then by the value of a customer. Every step is printed under the result, so the figure can be checked and the inputs changed; Sigzen AI adds no hidden multiplier.

  • What is a realistic share-of-answer target?

    A realistic share-of-answer target depends on how many brands the engines name for your prompts: in a category where answers name three to five brands, a brand named in a third of answers is doing well, and moving from under 10% to 30% over two quarters is the kind of change Sigzen AI's programmes are built around. Enter a target you would be happy to pay for, not the maximum.

  • Where do the calculator's context figures come from?

    The calculator's context figures come from the published studies linked beside each one: SparkToro for searches that end without a click, G2 for buyers who start research in an AI chatbot, and Adobe Digital Insights for the conversion of AI-referred visitors. Sigzen AI quotes them to show that buyers who ask an AI exist in numbers; they are not used in the arithmetic.

  • Does the calculator use my traffic or analytics data?

    The calculator uses only the five numbers you type and reads nothing from your site or analytics. To put a real number in the first box, count the monthly searches for your category's buying questions in Search Console or a keyword tool and take the share that now ends in an AI answer; Sigzen AI's audit measures this for you on 150 prompts.

  • Why does the calculator not promise a return?

    The calculator does not promise a return because share of answer is a measurement, not a lever that moves on its own: it rises when the engines find better sources about you, which takes work and time, and the engines' answers vary from day to day. Sigzen AI reports share of answer with a 95% range and calls a change real only when the ranges stop overlapping.

AI visibility (AEO and GEO)

Cost, timing, proof, reporting and the limits of a visibility programme, and how it sits alongside an SEO agency.

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  • How much does AI visibility work cost?

    AI visibility work with Sigzen AI starts with the audit at $3,500 (₹1.5L), one-time. The AEO/GEO sprint is from $8,000 (₹3L). Programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers, with 20% of the fee linked to share of answer from Growth up. Audits are credited 50% against a sprint booked within 60 days. Prices are published and the same for everyone.

  • How long does it take, and what do we see first?

    The audit reads out ten working days after kick-off with three numbers: share of answer, citations and factual errors. The sprint runs six weeks and we share the weekly measurement from week one, unprompted. Programmes target a measurable change in share of answer within 90 days.

  • Is this real, or hype?

    AI visibility is real enough to show rather than argue: on the first call we run your five most commercial prompts live in two engines and you watch who gets named. The audit then gives the full picture across 150 prompts. If your share of answer is already fine, we say so and you keep the report.

  • We can't attribute AI traffic. How will we know it is working?

    AI visibility is read through three signals together: share of answer with confidence intervals from your prompt set; an AI-referral channel group we set up in your analytics on the first call; and branded-search lift, because people who read an AI answer often come back by searching your name rather than clicking a link.

  • Do you guarantee a result on this page's programmes?

    Sigzen AI guarantees the method, the measurement and the transparency on every programme. On qualifying programmes we go further, and the guarantee is defined: if after 90 days you are not cited on at least one engine for at least 10% of your prompt set, we continue the programme at no fee for up to 60 further days. It is standard on Scale; the audit tells us in writing whether a Growth programme qualifies, before you commit.

  • We already have an SEO agency. Does this replace them?

    No, this does not replace your SEO agency: keep them. We measure share of answer on 150 prompts across five engines, not rankings, and the off-site citation work is different from an SEO retainer. We can white-label through your agency, or run a 90-day parallel test on 30 prompts so you can compare before you decide.

  • How is the work reported?

    The work is reported on one dashboard, updated weekly: share of answer by engine (ChatGPT, Gemini, Microsoft Copilot, Google AI Overviews and Google AI Mode) with confidence intervals, citations gained, AI-referral sessions and branded-search lift. A written report and a review call each month. Scoring is versioned and the prompt set is refreshed each quarter.

  • What won't you do on a visibility programme?

    On a visibility programme Sigzen AI writes no reviews for you, seeds no community posts, runs no private blog networks, scrapes no personal data, promises no 'rankings' on a specific engine, and does nothing that would get you removed from an engine's sources. Engines change quarterly, so we contract for process and share of answer, not a position.

The AI Visibility Audit

Who writes the 150 prompts, why every number carries a confidence interval, what we need from you, and what happens after the read-out.

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  • Who writes the prompts?

    Sigzen AI drafts the prompts from the prompt-set template for your industry and your buying stages; you approve them at kick-off. Prompts are run in the engines' default modes, through a licensed AI-answer data provider (Gemini through Google's Gemini API with Search grounding), on three separate days, so one lucky answer cannot move the number.

  • Why confidence intervals?

    Confidence intervals are reported because engines give different answers to the same prompt on different runs. Reporting a single share-of-answer figure would present that noise as a result. Each number in the audit comes with an interval, and we only call a change real when the intervals stop overlapping.

  • What do you need from us?

    The audit needs an hour of your time at kick-off to approve the prompts and competitors, read access to your analytics for the AI-referral baseline, and an hour for the read-out. Nothing needs to change on your site during the audit.

  • Is the sample report real data?

    No, the sample report is not real data: the excerpts on this page are illustrative and labelled as such. The sample report you receive on request is illustrative, built from sample data in a typical category.

  • What happens after the read-out?

    After the read-out you have the report, the dashboard and a 90-day plan with owners. If you book an AEO/GEO sprint within 60 days, half the audit fee is credited against it. If your share of answer is already where it should be, we say so, there is nothing to sell, and we refund half the fee. The report also says in writing whether a Growth programme would qualify for the 90-day citation guarantee.

  • Can our agency run this under their brand?

    Yes, an agency can run the audit under its own brand: the agency white-label audit is the full audit under your brand, with a co-branded report and the same method, intervals and read-out, at a wholesale price 40% below list for a minimum of three a quarter.

Pricing and terms

Published prices, credits, the six-month minimum, outcome-linked fees, the 90-day citation guarantee, currencies, payment and what is not included.

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  • Is every price really published?

    Yes, every Sigzen AI price is published: six rungs across two practices, each with its scope: the AI Visibility Audit, the AEO/GEO sprint and the programme in its three tiers; the AI readiness assessment, the automation sprint with three fixed-price versions, and managed AI-ops. A "from" price is a starting point for a fixed scope we agree before the work starts; the figure on the agreement is the figure you pay.

  • How do the credits work?

    Half the audit fee is credited against an AEO/GEO sprint booked within 60 days of the read-out, and half the readiness assessment against an automation sprint on the same terms. If your share of answer is already where it should be, we say so, you keep the report and we refund half the audit fee.

  • Why does the programme have a six-month minimum?

    The programme has a six-month minimum because share of answer moves over quarters, not weeks: citations have to be earned and the engines have to re-read them. Six months is the shortest period in which we can show a change that holds. If you need to see it first, every tier runs as a three-month pilot at 15% more a month. There are no annual contracts; prepaying a year is optional and takes 10% off.

  • What does outcome-linked mean, in numbers?

    Outcome-linked means that on Growth and Scale, 20% of the monthly fee is at risk against the share-of-answer target set at the audit, and is invoiced only for a quarter in which the target is met. The target is written into the agreement before you commit.

  • What does the 90-day citation guarantee say?

    The 90-day citation guarantee says that if, after 90 days of a qualifying programme, you are not cited on at least one engine for at least 10% of your prompt set, we continue the programme at no fee for up to 60 further days. It is standard on Scale; a Growth programme qualifies when the audit says so in writing. The qualification criteria are published on the audit page.

  • Which currency will we be invoiced in?

    You are invoiced in the currency shown: Sigzen AI keeps five price lists, in US dollars, Indian rupees, pounds sterling, euros and UAE dirhams, defaulting to your region. INR prices are set for the Indian market, not converted, and exclude GST, which is added on the invoice. Prices in US dollars, pounds sterling, euros and UAE dirhams include any applicable taxes: the figure shown is the figure invoiced.

  • When do we pay?

    Payment follows the rung: the audit is paid up-front, sprints are half up-front and half on acceptance, with the acceptance criteria written into the agreement before we start, and programmes are invoiced monthly in advance.

  • What is not included?

    Every rung is fixed scope and fixed price; the deliverables listed are what you get. On automation work, model and API usage, third-party licences and data clean-up are passed through at cost. Anything outside the scope, such as extra pages in a sprint or a second workflow, is quoted separately before we start.

  • Can our agency buy the audit for its clients?

    Yes, an agency can buy the audit for its clients: the agency white-label audit is the full audit under your brand, with a co-branded report and the same method, intervals and read-out, at a wholesale price 40% below the list price for a minimum of three a quarter.

AI automation

What an assessment, a sprint and managed AI-ops cost, how long a workflow takes to go live, messy data, savings, the systems we build on and what we refuse to build.

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  • What does AI automation cost?

    AI automation with Sigzen AI starts with the readiness assessment, from $6,000 (₹2.5L). An automation sprint (one workflow live) is from $10,000 (₹4L) and runs 4–8 weeks. Managed AI-ops is from $2,000 (₹1L) a month. Assessments are credited 50% against a sprint booked within 60 days. Sprints are 50% upfront, with acceptance criteria in the agreement.

  • How long until a workflow is live?

    A workflow is live four to eight weeks after a sprint starts, from kick-off to production, with hours saved measured and signed off at the end. The assessment takes three weeks. If the process is obvious from the 45-minute process review, we skip the assessment and scope the sprint directly.

  • Our data is messy. Can you still build on it?

    Messy data is usually workable, and the process review tells us. Document flows are messy by nature, which is why every workflow has an exception queue your people handle. If there is no system of record at all, we start with the readiness assessment and a data-readiness check rather than a build.

  • Is it too early, or too expensive, for a company our size?

    The Sigzen AI ladder exists so the first step is small for a company of any size: an assessment or one sprint, fixed price, one workflow. We pick the use case with the clearest payback, and the sprint ends with a signed hours-saved number, so you know whether the next one is worth it before you spend on it.

  • Do you guarantee the savings?

    Sigzen AI does not promise a savings number before seeing the process. What we do: agree the measurement plan and acceptance criteria up front, baseline the process before we build, and have your process owner sign off the measured result at the end of the sprint. The number in any case study is the one they signed.

  • Why Sigzen, when you do ERP?

    Sigzen Technologies has implemented and supported ERPNext for a decade under ISO 27001 and ISO 9001; Sigzen AI is its AI studio. That background is why the automation works on your real systems, ERP, CRM, helpdesk and WhatsApp, rather than in a demo, and why people handling exceptions is a design rule.

  • Which systems do you build on?

    Sigzen AI builds on the systems you already run: ERPNext and other ERPs, HubSpot and Zoho, Zendesk, Intercom and Freshdesk, WhatsApp, Shopify and WooCommerce, and email. We connect through official APIs, keep your system as the record, and don't ask you to move platforms to work with us.

  • What do you refuse to build?

    Sigzen AI refuses to build outreach sent without a person reviewing it, LinkedIn automation that breaches platform limits, anything that scrapes personal data, agents without an exception queue or an audit log, and chatbots with no number attached. We also won't replace your ERP or CRM as the system of record.

Method and research

How share of answer is produced: the prompt set, three runs on separate days, confidence intervals, the two other signals, llms.txt and method versions.

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  • How many prompts does an audit run, and who approves them?

    A Sigzen AI audit runs 150 prompts, drafted from the prompt library for your vertical and tuned to the questions your buyers ask; you approve the set at kick-off before anything is run. The set is refreshed quarterly and every change is versioned, so one quarter's share of answer can be compared with the next.

  • Why does every prompt run on three separate days?

    Every prompt runs on three separate days because answers vary between days: a single answer is an anecdote, not a measurement. Three runs per engine give each share-of-answer figure a 95% confidence interval, and Sigzen AI only calls a change real when the intervals stop overlapping.

  • How does Sigzen AI reach the five engines?

    Sigzen AI reaches ChatGPT, Microsoft Copilot, Google AI Overviews and Google AI Mode through a licensed AI-answer data provider, and Gemini through Google's Gemini API with Search grounding, all through our AI answer monitor. Prompts run in each engine's default mode, so the answers are the ones a buyer would see, not a tuned or logged-in version.

  • What counts as being named or cited in an answer?

    A run counts toward share of answer when the engine's answer names your brand or cites a page from your domain. Sigzen AI reports the proportion of such runs across all prompts and engines as a mean with a 95% confidence interval, under a versioned scoring method, so a move on the dashboard means something changed in the world, not just in the sample.

  • Which signals do you track besides share of answer?

    Besides share of answer, Sigzen AI tracks an AI-referral channel grouping in your analytics, set up on the first call, and branded-search lift, because people who read an AI answer often come back by searching your name rather than clicking a link. Together the three show whether being in the answer turns into visits and demand.

  • Does llms.txt help a site get cited?

    No study yet shows that llms.txt earns citations, so Sigzen AI keeps an llms.txt index current as low-cost hygiene and never sells it as a lever. The levers that do move citations are answer-first pages, crawler access with key copy in the server HTML, validated schema, consistent entity pages, and the off-site sources the engines check.

  • What is the difference between on-site and off-site work?

    On-site work changes what the engines read about you: answer-first pages, AI-crawler access, schema, entity pages and freshness. Off-site work changes who vouches for you: directories and partner pages, review platforms, communities with disclosed affiliation, and editorial and expert quotes. Most agencies stop at the first; a Sigzen AI programme contracts for both.

  • How do I know which version of the method produced a number?

    The method carries a version number, shown on this page, and the scoring is versioned alongside it; the prompt set is refreshed each quarter and every change to either is recorded. A share-of-answer figure is therefore always tied to the method version and prompt-set version that produced it, which is what makes a before-and-after comparison honest.

B2B SaaS and tech

Questions from SaaS teams. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • Which prompts do you run for a SaaS company?

    The ones a buyer types before a demo: 'best X for Y', 'X vs Z', 'alternatives to X' and 'is X worth it', in your category and for your main use cases. We draft 150 from a SaaS prompt-set template, you approve them, and we run every one across ChatGPT, Gemini, Microsoft Copilot, Google AI Overviews and Google AI Mode.

  • We rank for our comparison keywords. Why aren't we cited?

    Engines build a shortlist from sources they already trust in your category: review sites, community threads and editorial comparisons. A ranking page that argues your case is not one of those. The citation-source map shows which domains the answers come from and whether you are on them.

  • How do you get us onto G2, Capterra and community threads without faking anything?

    Review programmes that ask real customers, a compliant community presence where your team answers questions under its own name, and comparison placements earned with original data. No reviews written for you, no faked posts, nothing that would get you removed from an engine's sources.

  • What does it cost, and when do we see a number?

    For a SaaS company the audit is $3,500 (₹1.5L), read out ten working days after kick-off with share of answer, citations and factual errors. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can this connect to our sales process?

    Yes, once the first win is in, this connects to your sales process: our outreach engine watches target accounts for signals such as funding, hiring and traffic drops, scores them and drafts the first touch; a person on your team reviews and sends. It runs on HubSpot or Zoho, with acceptance criteria in the agreement before the build.

E-commerce and D2C

Questions from e-commerce teams. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • What is an AI-shelf audit?

    The AI Visibility Audit run on shopping prompts: 'best {product} for {need}', '{brand} reviews', gift and comparison prompts in your range, across all five engines. You get the brands each engine names, how often, with confidence intervals, and the sources it took them from.

  • Do our product pages need to change?

    Your product pages usually need less change than your feed and schema: engines read structured price, availability, variants and specs, and lean on reviews and guides for the recommendation. We optimise the feed and the Product and FAQ schema first, then write the guides the answers quote.

  • How do reviews fit into AI shopping answers?

    Shopping answers are sourced from product feeds, review volume and recency on marketplaces, Trustpilot, YouTube and community threads. A review-velocity programme asks real customers at the right moment through the channels you already run. We do not write reviews, seed fake threads or buy placements.

  • What does it cost for a Shopify or WooCommerce brand?

    For a Shopify or WooCommerce brand the audit is $3,500 (₹1.5L). The AEO/GEO sprint, which covers feed, schema and the first citations, is from $8,000 (₹3L). Programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can you also take the where-is-my-order tickets?

    Yes, a support agent can take the where-is-my-order tickets: on web, WhatsApp and email, grounded in your order data and policies, it answers delivery and returns questions and escalates the rest to your team in Zendesk or Intercom. It is scoped as an automation sprint with deflection and first-response time measured and signed off.

Financial services and insurance

Questions from financial firms. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • Can you do this under financial-promotion rules?

    Yes, AI visibility work can run under financial-promotion rules: wording guardrails are part of the brand-narrative service, nothing is published without your compliance sign-off, and we do not write performance claims or testimonials. The work is entity accuracy, answer-first explainers and correct information on the registers and directories the engines read.

  • Which prompts do you run for a financial firm?

    The questions your clients ask before they call: which adviser or provider for their situation, what a product costs, whether they are eligible, how two providers compare and whether a firm is regulated. We draft 150 from a financial-services template for your markets, you approve them, and we run them on five engines.

  • What if an engine states the wrong fees or rates?

    It goes in the hallucination register with the source it came from, usually an old page, a comparison listing or a directory entry. We correct it at that source and on your site, then report the error count on every run until it reaches zero.

  • What does it cost for a financial firm?

    For a financial firm the audit is $3,500 (₹1.5L), read out ten working days after kick-off. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can you automate onboarding and KYC checks?

    Onboarding and KYC checks can be automated as document intelligence: the agent is set up to extract onboarding documents, check them against the rules you give it and queue exceptions for your team, who make every decision. It is scoped as an automation sprint from $10,000 (₹4L), with turnaround time and accuracy measured and signed off.

Healthcare providers

Questions from clinics and providers. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • Can you work within health-advertising rules?

    Yes, the work fits within health-advertising rules: we do not write testimonials, outcome promises or 'best clinic' claims. The work is accuracy: correct services, clinicians, prices and locations wherever the engines read them, written to your regulator's advertising rules and approved by your clinical lead before anything is published.

  • Which prompts do you run for a clinic?

    Treatment and cost questions, 'who does this near me', clinician and clinic reviews, safety and eligibility questions and comparisons of options, drafted from a healthcare template for your specialties and countries. You approve the set, and we run it on five engines, each prompt on three separate days.

  • We have several locations. Does each one need work?

    Yes, each location needs its own work, because patients ask locally. Local AEO gives every location its own entity page, kept consistent with its map profile, directory listings and registrations, and the audit reports share of answer for each location's prompts.

  • What does it cost for a clinic or hospital group?

    For a clinic or hospital group the audit is $3,500 (₹1.5L), read out ten working days after kick-off. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can an agent handle booking questions without giving medical advice?

    Yes, an agent can handle booking questions without giving medical advice: it is set up to answer administrative questions from your approved information (availability, preparation, prices and directions) and to hand anything clinical to your staff with the conversation attached. It is scoped as an automation sprint from $10,000 (₹4L), with response time measured and signed off.

Manufacturing and industrial

Questions from manufacturers. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • Which process should we start with?

    Start with the process that has the clearest payback: usually purchase-order and invoice matching, or order entry from email and WhatsApp. A 45-minute process review tells us the volumes and exceptions; if the maths does not work we say so. If nothing is obvious, the readiness assessment scores your top ten use cases.

  • What does an automation sprint cost?

    An automation sprint is from $10,000 (₹4L), fixed scope, one workflow live in production in 4–8 weeks, half upfront. The readiness assessment is from $6,000 (₹2.5L) and is credited at half its fee against a sprint booked within 60 days. Managed AI-ops, which keeps the agent running, is from $2,000 (₹1L) a month.

  • We run ERPNext. Do you build inside it?

    Yes, we build inside ERPNext: Sigzen Technologies has implemented and supported ERPNext for a decade, and the agent is built on your instance through official APIs. ERPNext stays the system of record; the agent captures, matches and posts, and anything it cannot resolve goes to an exception queue your people handle.

  • Our data is messy. Will it still work?

    Messy data still works, because every workflow has an exception queue; document flows are messy by nature. The process review checks your supplier master, item codes and purchase orders before we commit. If there is no system of record, we start with the assessment and a data-readiness check, not a build.

  • Why would an exporter care about AI visibility?

    An exporter should care because industrial buyers now ask ChatGPT and Gemini for suppliers of a part or a certification before they open a directory. Once the first agent is live we baseline those sourcing prompts, write capability pages that engines can cite, and keep your directory and trade-press entries consistent.

Travel and hospitality

Questions from hotels and tour operators. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • Which prompts do you run for a hotel or tour operator?

    Where to stay for a given traveller and purpose, the best experiences in your destination, prices and seasons, '{property} reviews' and comparisons with nearby alternatives. We draft 150 from a travel template for your destinations and source markets, you approve them, and we run them on five engines.

  • Can you win direct bookings back from the booking sites?

    Direct bookings can be won back from some booking sites, not all, and we will not pretend otherwise. Engines often link to booking sites. We make your own site the most accurate, citable source on your property, measure AI-referred direct bookings in your booking engine, and report both.

  • How do reviews fit into travel answers?

    Travel answers lean heavily on reviews, so a review-velocity programme asks real guests at the right moment through the channels you already run. We do not write reviews, buy them or ask only happy guests.

  • What does it cost for a hotel or tour operator?

    For a hotel or tour operator the audit is $3,500 (₹1.5L), read out ten working days after kick-off. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can you take the routine guest questions?

    Yes, a support agent can take the routine guest questions: grounded in your own information, it answers availability, facilities, transfer and policy questions on web and WhatsApp and hands bookings and special requests to your team. It is scoped as an automation sprint from $10,000 (₹4L), with response time measured and signed off.

Accounting and advisory firms

Questions from accounting and advisory firms. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • What is a brand-narrative audit?

    The AI Visibility Audit, run on 150 prompts for your specialisms, including 'best accountant for {niche}', 'how much does {service} cost' and '{firm} reviews', across five engines. It reports which firms are named, what each engine says about yours, every factual error, the sentiment and the sources behind each answer.

  • How do you correct what the engines get wrong about a firm?

    Errors about a firm are corrected at the source: most trace to an old directory entry, an unclaimed profile or an outdated about page. We fix the entity on your site, on your professional body's listing, on LinkedIn and in the directories the engines read, then report the error count on every run, with the corrections made.

  • Can a regulated firm do this within its professional rules?

    Yes, a regulated firm can do this within its professional rules: the work is accurate entity data, clear service descriptions and the directory and review presence engines read, with no comparative or 'best' claims and no solicitation. Every page goes through your compliance review before it is published.

  • What does it cost for a 40-person firm?

    For a 40-person firm the audit is $3,500 (₹1.5L), read out in ten working days. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days. Prices are published and the same for everyone.

  • Can you help with clients who arrive with an AI answer?

    Yes, an agent can help with clients who arrive with an AI answer: grounded in your own guidance and templates, it triages those questions, drafts a reply for a qualified person to review and flags the ones that need a call. It is scoped as an automation sprint from $10,000 (₹4L), with time saved measured and signed off.

Automotive retail

Questions from dealers. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • We've heard AI sends dealers very little traffic. Why bother?

    AI often does send dealers little traffic, because buyers use AI to research, then call or visit. So we measure what moves: whether the answer names your rooftops correctly, and the calls, enquiries and appointments that follow, not AI sessions alone. If the numbers do not justify a programme after the audit, we say so.

  • Which prompts do you run for a dealer group?

    Where to buy a model, used and certified pre-owned questions, service and warranty questions, EV and hybrid availability and '{dealer} reviews', for every brand and rooftop. We draft them from an automotive template, you approve them, and we run them on five engines.

  • We have many rooftops. Is each one audited?

    Yes, every rooftop is audited: local AEO gives each its own entity page, kept consistent with its map profile and marketplace listings, and the audit reports share of answer per rooftop.

  • What does it cost for a dealer group?

    For a dealer group the audit is $3,500 (₹1.5L), read out ten working days after kick-off. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can you follow up the leads that arrive?

    Yes, a follow-up agent in your CRM can take the leads that arrive: it qualifies each enquiry, answers stock and service questions from your data and books appointments, with a salesperson taking every handover. It is scoped as an automation sprint from $10,000 (₹4L), with response time and appointments measured and signed off.

Education

Questions from universities and colleges. The prompts we run, the rules we work within, what it costs and which automation applies.

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  • Which prompts do you run for a university or college?

    The questions students ask from each source market: the best institutions in a country for a course and nationality, fees and scholarships, entry requirements, course comparisons and choosing between countries. We draft 150 from an education template, you approve them, and we run them on five engines.

  • Why does accuracy matter so much here?

    Accuracy matters in education because students act on what the answer says about fees, requirements and outcomes, and course information is subject to consumer law in many countries. We correct those facts at the sources the engines read and keep them current each intake.

  • Do you work with edtech companies and education agents?

    Yes, we work with edtech companies and education agents: edtech and online-course providers use the same audit on their course and comparison prompts. Education agents and counsellors can order the audit white-labelled for the institutions they represent.

  • What does it cost for a university or college?

    For a university or college the audit is $3,500 (₹1.5L), read out ten working days after kick-off. The AEO/GEO sprint is from $8,000 (₹3L); programmes run from $3,500 (₹1L) a month on a six-month minimum, in Core, Growth and Scale tiers. Half the audit fee is credited against a sprint booked within 60 days.

  • Can an agent answer applicants' questions at any hour?

    Yes, an agent can answer applicants' questions at any hour: it answers fee, entry and document questions from your approved information on web and WhatsApp, and passes applications, exceptions and anything about admission decisions to your staff. It is scoped as an automation sprint from $10,000 (₹4L), with response time measured and signed off.

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