GEO Services: Get Cited by ChatGPT, Gemini and AI Overviews

A prospective customer asks ChatGPT to recommend a project management tool for a 30-person marketing agency, or asks Gemini which payroll provider handles contractors in three countries. Your product fits the brief exactly. You rank on page one of Google for the same query. But you don't exist in the answer — three competitors do, and the buyer never opens a browser tab to check further.

That's the gap generative engine optimisation, often searched as geo services, is built to close. Google rankings and AI-answer citations are now separate battles: a site can rank well and still be invisible in ChatGPT, Perplexity, Gemini, and Google's own AI Overviews, because those systems pull from a narrower, differently-weighted set of sources — crawlable structured content, consistent entity data, pages that answer a question in the first two sentences. Losing that visibility is not a vanity metric; it's a growing share of pre-purchase research happening entirely inside an AI chat window where you're simply not mentioned.

This guide walks through what a structured GEO engagement actually involves, what it costs, what you need to have ready, and where the honest limits are. Bharat AI Saathi runs this as a fixed-scope package called the AI Search Visibility Sprint — we'll use it throughout as the concrete example, but the steps apply whether you build this in-house or hire it out.

What AI Search Visibility Sprint actually does

It's a 10-day, fixed-scope engagement that treats AI citation as a measurable, fixable technical and content problem rather than a black box. The sprint has three parts. First, a baseline: running 50-100 real buyer prompts against ChatGPT, Gemini, Perplexity, and Google AI Overviews to see who currently gets cited for your category, and how often you show up versus your named competitors. Second, remediation: fixing the technical blockers that stop AI crawlers from reading your site at all, adding the schema markup and llms.txt file that helps models parse who you are, and rewriting five priority pages into a structure these systems actually extract from — clear TL;DR summaries, direct-answer blocks, visible freshness dates. Third, an outreach list of the third-party directories, comparison sites and community pages that AI models frequently cite as corroborating sources, since models rarely cite a vendor's own site alone.

This is not SEO renamed. Traditional SEO optimises for a ranking algorithm and a results page with ten blue links. GEO optimises for extraction: the model reads your page, decides whether it's trustworthy and well-structured enough to paraphrase or quote, and picks a handful of sources to name in its answer. Different mechanics, different fixes.

How it works, step by step

1. Kickoff call. You share your domain, five to ten competitor names, and the buyer questions you most want to win — the exact phrasing a prospect would type into ChatGPT.
2. Baseline run. We run 50-100 prompts across the four AI surfaces, logging who gets cited, how often, and which domains keep appearing as supporting sources.
3. Technical audit. We check whether AI crawlers (GPTBot, Google-Extended, PerplexityBot, and similar) can actually reach your pages, and review existing schema markup for gaps.
4. Fix crawlability and schema. We add or correct Organization, FAQ and Article schema, publish an llms.txt file, and resolve any robots.txt or CDN rules silently blocking AI crawlers.
5. Rewrite five priority pages. The pages most relevant to your target prompts get restructured with direct-answer openings, scannable structure, and visible last-updated dates.
6. Build the citation-source outreach list. We identify directories, comparison pages and forums that AI models cite in your category, so you know where to pursue listings or contributions next.
7. Go live and monthly tracking. The same prompt set re-runs monthly, and you get a one-page share-of-voice dashboard showing whether citations are moving.

Trigger: Monthly re-run, month 2, prompt: "best contractor payroll software for agencies with EU staff" Action: Baseline (month 1) — not cited. Cited sources: two competitor blogs, one G2 comparison page. Action: Month 2 re-run — client site now cited as a supporting source alongside the G2 page, following schema fix and page rewrite on "/eu-contractor-payroll". Action: Dashboard note — share-of-voice for this prompt cluster moved from 0% to cited-but-secondary; flagged for a follow-up FAQ block to push toward primary citation.

Before and after

What it costs and what is included

The setup fee covers a fixed, one-time engineering and content effort; the care plan exists because AI answer surfaces change monthly and a citation won by a competitor can be lost quietly without anyone noticing. Payback isn't guaranteed or modeled here — in our experience the cost of the sprint is small relative to a single closed deal that originated from an AI-cited answer, but we don't promise a specific number of citations or leads.

Delivery timeline

Day 0: Kickoff

Domain access, competitor list and target prompts collected on the kickoff call; baseline prompt run begins.

Days 1-3: Baseline and audit

Prompt results logged across ChatGPT, Gemini, Perplexity and AI Overviews; technical crawl audit completed; schema gaps identified.

Days 4-8: Build

Crawlability fixes, llms.txt and schema deployed; five priority pages rewritten and reviewed with you; citation-source outreach list compiled.

Days 9-10: Go live

Final QA on schema and page changes, dashboard configured, and the system is live and tracking within 10 days of kickoff.

What you need to have ready

• CMS or website admin access (or a developer who can deploy schema and robots.txt changes)
• A list of 5-10 named competitors for baseline comparison
• 10-20 real buyer questions your sales team hears, in the customer's own phrasing
• Access to Google Search Console for the domain
• Sign-off from whoever owns brand/legal copy, since page rewrites touch public-facing content
• Awareness of any compliance constraints on public claims (regulated industries: finance, healthcare, legal)

Doing it yourself vs done-for-you

DIY is entirely workable if you already have technical SEO skills in-house and the discipline to re-test monthly — the actual fixes (schema, llms.txt, page structure) aren't secret. What's hard to sustain alone is the repeatable measurement: most teams do one audit, fix a few things, and never check again.

Compliance and risk notes

• Public claims in rewritten pages must stay accurate and substantiated — AI models are more likely to quote a direct claim verbatim, so overstated copy carries more exposure than it did in a page nobody reads directly.
• Regulated industries (finance, healthcare, legal) should have compliance or legal review any rewritten page before publishing, since this isn't legal advice and requirements vary by jurisdiction.
• AI crawler access changes are platform-dependent — some CDNs and bot-management tools update their rules independently of your robots.txt, so verify after any infrastructure change.
• Entity data consistency (business name, address, founding details) should match what's filed publicly elsewhere; inconsistencies can undermine trust signals rather than help them.
• We report measured citation share, not guaranteed rankings or citation counts — no GEO vendor can promise a specific model will cite you, since model behaviour is not fully public or stable.
• Third-party directories and comparison sites in the outreach list have their own submission and editorial policies; we identify them, but listing decisions remain theirs.

Mistakes buyers make

• Treating GEO as identical to SEO. The fix: audit crawlability and schema separately — a page ranking well on Google can still be invisible to AI crawlers.
• Skipping the baseline. The fix: measure current citation share before changing anything, or you won't know if fixes actually moved the needle.
• Rewriting every page instead of the highest-intent five. The fix: prioritise pages tied to your actual buyer questions, not the whole site at once.
• Ignoring third-party citation sources. The fix: AI models often cite comparison and directory pages alongside or instead of your own site — pursue those listings too.
• Checking once and stopping. The fix: AI answer surfaces update monthly; a monthly re-run catches citation loss before it compounds.

FAQ

What's the difference between GEO and traditional SEO?

SEO optimises for ranking in a search results page; GEO optimises for being extracted and cited inside an AI-generated answer. They share some technical foundations (crawlability, schema) but the content structure and success metrics differ.

Can you guarantee we'll be cited by ChatGPT or Gemini?

No. No GEO provider can guarantee citation outcomes, because model behaviour isn't fully public or stable. We report measured share-of-voice from a baseline and monthly re-run so you can see real movement, not promise a specific number of citations.

Do we need developer resources for this?

Some technical changes (schema, llms.txt, robots.txt) require CMS or code access. If you have a developer or agency who can deploy changes we provide, that's sufficient — you don't need in-house AI or SEO expertise.

How is this different from just buying an AI-visibility monitoring tool?

Monitoring tools tell you your current citation status; they don't fix crawlability, schema or page structure. This sprint does the baseline measurement and the remediation, then keeps tracking monthly.

What happens after the 10-day sprint?

The $750/month care plan continues the monthly prompt re-run and dashboard, plus minor schema and page maintenance. You can cancel anytime — there's no lock-in contract.

Will this affect our regular Google rankings?

The technical fixes (schema, crawlability, page clarity) are generally supportive of both traditional SEO and GEO — they rarely conflict. We don't make ranking guarantees for either.

Next step

Email support@bharataisaathi.com or message us on WhatsApp with your domain, 5-10 competitor names, and the buyer questions you most want to win in AI answers.

See full scope and pricing on the AI Search Visibility Sprint page, or read how we work before kickoff.