AI Visibility Audit: Get Cited by ChatGPT and AI Overviews

Your sales team pulls up ChatGPT to check how a prospect might research your category, types in the exact query a buyer would use, and your company doesn't appear. Your closest competitor does, complete with a two-line summary and a link. This happens after years of steady SEO work, a page-one Google ranking, and a marketing budget that assumed rankings still equal visibility.

The cost is not abstract. B2B buyers, procurement teams and consumers increasingly start research inside ChatGPT, Gemini, Perplexity or Google's AI Overviews rather than a search results page. If those engines never cite you, you are invisible at the exact moment a shortlist gets built, regardless of what your Google Analytics dashboard says. An AI visibility audit is the diagnostic step that shows you, with actual prompts and actual answers, where you stand and why.

This guide covers what a proper AI visibility audit measures, how a fixed-scope engagement runs from baseline to monthly tracking, what it costs, and the mistakes companies make when they try to guess their way through generative engine optimisation. The system referenced throughout is the AI Search Visibility Sprint, built by Bharat AI Saathi.

What AI Search Visibility Sprint actually does

The sprint is a fixed 10-day engagement that treats AI visibility as a measurable, fixable problem rather than a guess. It runs a structured AI visibility audit across the four engines that matter most to a US, UK, Canada, Australia, UAE or Singapore buyer — ChatGPT, Gemini, Perplexity and Google AI Overviews — using 50 to 100 prompts that mirror how your actual customers ask questions. It then fixes the technical reasons AI crawlers can't read your site properly, rewrites five priority pages into a format these engines can quote directly, and hands you an outreach list for the third-party sources AI models pull citations from. After go-live, the same prompt set is re-run monthly so you can see whether your share of voice is moving.

This is deliberately narrower than "we'll do SEO and AI SEO." It does not touch link building, paid media or content calendars. It addresses one specific gap: companies that already rank on Google but are structurally invisible to generative engines because of crawler access, missing schema, or pages written for keyword matching instead of for being quoted.

How it works, step by step

1. Kickoff call. We confirm your target customer language, your top 10-15 buying-decision topics, and get access to your CMS, Google Search Console and analytics.
2. Baseline audit. We run 50-100 realistic prompts through ChatGPT, Gemini, Perplexity and AI Overviews, logging whether you're cited, who is cited instead, and which domains those engines trust for your category.
3. Technical diagnosis. We check robots.txt and crawler rules against known AI user agents, look for a missing or malformed llms.txt, and audit your Organization, FAQ and Article schema for gaps and inconsistencies.
4. Fix implementation. We correct crawler access, add or repair schema, and resolve entity inconsistencies (name, address, description mismatches across your site and third-party listings) that confuse AI models about who you are.
5. Page rewrites. Five priority pages, chosen from the baseline data, are rewritten with TL;DR summary blocks, direct structured answers near the top, and visible freshness stamps — the format generative engines most often lift into their answers.
6. Outreach list delivery. You receive a list of directories, comparison sites and community platforms that showed up as cited sources in your baseline, so your team (or ours, separately) can pursue listings there.
7. Monthly tracking. The original prompt set is re-run every month and compared against baseline, delivered as a one-page share-of-voice dashboard.

Trigger: Monthly re-run, month 2, prompt: "best [category] software for mid-size logistics companies" Action: ChatGPT response now cites client domain in position 2 of 4, up from absent in baseline. Perplexity response unchanged, still citing two competitor domains and one G2 listing. Dashboard flags Perplexity as the priority gap for month 3, recommends pursuing a G2 comparison listing from the outreach list.

Before and after

What it costs and what is included

No long-term contract locks you in; the care plan runs month to month and can be paused once you have the tracking rhythm you need. The setup fee buys a fixed, delivered scope — baseline, fixes, rewrites, list — not an open-ended retainer, and the payback logic is straightforward: the fee is roughly what many companies already spend on a single month of paid search for one competitive keyword, but it addresses a channel that paid search cannot touch. Whether it pays back depends on how often your buyers use AI research tools before they use a search engine, which is worth confirming honestly before you start.

Delivery timeline

Day 0: Kickoff

Access granted to CMS, Search Console and analytics. Target topics and buyer language confirmed.

Days 1-4: Baseline and diagnosis

Prompt set built and run across all four engines. Crawler access, schema and entity consistency audited. Findings compiled into the baseline report.

Days 5-8: Fixes and rewrites

Technical fixes deployed (crawler rules, llms.txt, schema). Five priority pages rewritten and published. Outreach list compiled from baseline citation data.

Days 9-10: Go-live

Final QA on schema validation and crawler access. Monthly tracking cadence confirmed and first dashboard scheduled.

What you need to have ready

• Admin or editor access to your CMS for the five pages being rewritten
• Access to Google Search Console for your domain
• Read access to your analytics platform (GA4 or equivalent)
• A list of your top 10-15 buying-decision topics or questions, from whoever owns sales or marketing
• Sign-off authority to publish schema and robots.txt changes without a lengthy internal review cycle
• Any existing brand style guide or terminology restrictions we should follow in the page rewrites
• Confirmation of any compliance or legal review step your organisation requires before public-facing copy changes go live

Doing it yourself vs done-for-you

DIY is entirely workable if you already have someone comfortable with schema markup and crawler logs and you're willing to keep re-running the prompt set yourself every month. Where DIY usually breaks down is consistency — the audit gets done once, the fixes go in, and nobody checks again for six months.

Compliance and risk notes

• We report measured citation results from the prompt set we run; we do not guarantee rankings or citations, since neither Bharat AI Saathi nor you controls how any AI model weights sources.
• Schema and content changes are published to your live site, so confirm your internal legal or brand review requirements before go-live if your industry requires them.
• If your industry has advertising or disclosure rules (financial services, healthcare, legal), review the five rewritten pages against those rules before publishing, since AI-citation formatting is separate from regulatory compliance.
• AI crawler access changes (robots.txt, llms.txt) are visible to any crawler, not just the four engines we track, so consider whether any content should remain excluded from AI training or citation entirely.
• Platform policies for ChatGPT, Gemini, Perplexity and Google AI Overviews can change without notice; a technique that improves citation odds today may need revisiting after a model update.
• Third-party directory and comparison-site listings from the outreach list are pursued separately and may carry their own submission fees or terms, which are not included in this engagement.

Mistakes buyers make

• Testing only 5-10 prompts and concluding "we're fine" or "we're invisible." Fix: use a large enough prompt set (50+) to see a real pattern, not noise from a handful of queries.
• Fixing schema without checking crawler access first. Fix: verify AI crawlers can actually reach your pages before investing in markup they'll never read.
• Rewriting pages for citation but leaving stale dates or contradictory entity details elsewhere on the site. Fix: check entity consistency (name, address, description) across your whole domain, not just the pages you're rewriting.
• Running one audit and never checking again. Fix: track monthly, since AI models update frequently and a one-time fix can quietly decay.
• Assuming AI Overviews behave like the other three engines. Fix: treat Google's AI Overviews as its own category with its own citation patterns, tested separately.

FAQ

What exactly does an AI visibility audit measure?

It measures whether ChatGPT, Gemini, Perplexity and Google AI Overviews cite your company in response to realistic buyer prompts, who gets cited instead of you, and which technical or content factors are causing the gap. It's a diagnostic report backed by actual model outputs, not an estimate.

How is this different from traditional SEO?

Traditional SEO optimises for ranking in a list of blue links. This optimises for being quoted or summarised directly inside an AI-generated answer, which depends on crawler access, structured schema, and content formatted for extraction rather than for scrolling.

Can you guarantee we'll be cited by ChatGPT after this?

No. We report measured results from the prompt set and typically see share-of-voice improve after the fixes and rewrites, but no one controls how these models select sources, and any promise of guaranteed citation should be treated with skepticism.

Do you need admin access to our website?

Yes, editor or admin access to the CMS for the five pages being rewritten, plus read access to Search Console and analytics. We do not need full server access unless the crawler fixes require server-level configuration changes.

What happens after the 10-day sprint ends?

The $750/month care plan re-runs the same prompt set monthly and delivers a one-page share-of-voice dashboard, plus minor schema and content upkeep. You can pause the care plan at any point since there's no lock-in.

Is this only useful for companies that already rank well on Google?

It's most valuable for companies that already rank but are absent from AI answers, since that gap is the specific problem this sprint solves. Companies with weak Google visibility usually need foundational SEO work addressed first or alongside this.

Next step

Email support@bharataisaathi.com or message us on WhatsApp with your domain and your top 10 buyer questions to get a scoped start date. Review the full offer details at the AI Search Visibility Sprint page, and see how we work for the general engagement process.