Service · Generative Engine Optimization

Generative Engine Optimization for B2B: get cited when buyers ask AI

GEO is the work of making your company easy for AI search tools to find, understand and cite in their answers. Big Leap runs GEO for Indian B2B manufacturers, exporters and service firms: an AI-visibility audit, entity and schema work, citation-worthy content, third-party mentions and monthly prompt tracking.

ChatGPT Perplexity Gemini Google AI Overviews Entity & schema llms.txt Prompt tracking

What is GEO, and how is it different from SEO?

Generative Engine Optimization (GEO) is the practice of making your content and brand easy for AI search tools to retrieve, trust and cite when they write an answer. SEO aims to rank a page in a list of links. GEO aims to get your company named, quoted or linked inside the answer itself.

Generative engines such as ChatGPT search, Perplexity, Gemini and Google’s AI Overviews and AI Mode retrieve pages from the web, then use a language model to write one response with citations. The 2024 research paper that named the field (Aggarwal et al., KDD 2024) describes them in exactly those terms.

SEOGEO
GoalRank a page for a search queryBe cited or recommended inside the AI-written answer
What the buyer seesA list of links to compareOne synthesized answer with a few cited sources
Main leversCrawlability, relevance, links, page experienceAll of SEO, plus a clear entity, quotable evidence, third-party mentions
How you checkRankings, impressions, clicksWhether and how you are named across a fixed set of buyer prompts

An honest note on how this fits with SEO: Google’s documentation says SEO best practices remain relevant for AI Overviews and AI Mode, with no additional requirements or special schema to appear in them (Google Search Central). So we build GEO on top of sound SEO rather than instead of it. The same research found that keyword stuffing gave little to no improvement in generative engine answers, while adding citations, quotations and statistics improved visibility by up to 40% in the researchers’ benchmark. That is a lab result, not a promise for any single site.

Why GEO matters for B2B buyers

B2B buyers research complex, high-value purchases, which is the kind of question AI search tools are built for. If the answer names your competitors and not you, you may never know you were in the race.

Complex questions go to AI

Google describes AI Mode as most helpful for queries that need exploration, reasoning or complex comparisons (source). That describes supplier shortlisting: “which exporters can meet this specification?”

One answer, a few sources

Instead of ten links, the buyer reads a synthesized answer that cites a handful of sources. Being one of them is a different goal from ranking seventh.

Your website is only part of it

Answers are assembled from several sources, so how consistently the wider web describes your company can matter as much as your own pages.

SEO basics are the entry ticket

To appear as a supporting link in AI Overviews or AI Mode, a page must be indexed and eligible to show with a snippet, per Google. Technical SEO still comes first.

It can be tracked

You cannot see a ranking number, but you can run a fixed list of buyer prompts every month and record whether you appear, how you are described and who is cited instead.

The field is young

Methods and measurement are still maturing, and results differ by engine and by query. That is why we start with an audit and report what we observe, not promised positions.

What Big Leap does in a GEO engagement

Six workstreams. Each is scoped after the audit, based on what your site and market actually need.

01
AI-visibility audit
Start here

Find out whether AI tools can find, understand and name you today

We write a fixed set of buyer prompts for your category, products, markets and competitors, then run them across ChatGPT, Perplexity, Gemini and Google’s AI features. For each one we record whether you appear, how you are described, which sources are cited and which competitors are named.

The output is a baseline you can compare against every month, plus a prioritized fix list. It also catches wrong or outdated facts that AI tools repeat about your company.

Buyer-prompt set: category, product, market, comparison
Baseline of mentions, descriptions, cited sources, competitors
Crawler access check: robots.txt, CDN and firewall rules
Indexing and snippet-eligibility check
Check for wrong or outdated facts about you
Prioritized fix list
02
Entity and schema work
Foundation

Make it unambiguous who you are and what you do

AI tools and search engines work with entities: your company, its products, locations and people. We make these consistent across your site and public profiles (legal name, address, founding details, services, leadership, sameAs links) and back them with JSON-LD structured data that matches the visible text on the page.

Google notes that no special schema is needed for its AI features and that structured data must match visible content (Google Search Central). We use schema for clarity and accuracy, not as a ranking trick.

Organization, Service, FAQPage, BreadcrumbList JSON-LD
Consistent name, address and phone across the site
sameAs links to your real, verified profiles
Service and product pages with clear definitions
Company and author bylines
Validation: JSON parses and matches page text
03
Citation-worthy content
Content

Answer-first pages that are easy to quote accurately

We restructure your key pages and write new ones so each opens with a direct answer, then supports it with specifics: specifications, standards, process and named sources. Self-contained answers, clear headings and question-and-answer blocks are easier for people and AI tools to lift accurately.

The research that named GEO found that adding citations, quotations and statistics improved visibility in its benchmark (Aggarwal et al., KDD 2024). So we add real, sourced evidence wherever you have it, and we never invent numbers.

Answer-first rewrites of priority pages
Buyer-question FAQ blocks with direct answers
Comparison and “how to choose” pages
Capability, certification and specification pages
A named source for every factual claim
Expert bylines and review dates
04
Third-party mentions
Authority

Be described accurately beyond your own website

AI answers are assembled from several sources, so how the wider web describes your company can matter as much as your own pages. We help you earn accurate, consistent mentions where buyers and AI tools already read: industry publications, trade directories, association listings, partner pages and professional profiles.

Every mention is earned or corrected, never bought in bulk or fabricated, and we only name customers or partners with their permission.

Map of the sources AI tools cite in your category
Trade-press and guest-article placements
Directory and association listing clean-up
Partner and customer credit pages, with permission
Profile consistency, such as LinkedIn
Corrections to outdated or wrong listings
05
llms.txt and crawler access
Technical

Keep the door open to AI crawlers, and add llms.txt where it helps

We review robots.txt and firewall rules so AI search crawlers such as OAI-SearchBot and PerplexityBot are not blocked by accident, and we publish a clear llms.txt: a short, curated overview of your key pages.

To be straightforward: llms.txt is a community proposal, and Google says you do not need AI text files for its AI features. We treat it as a low-cost clarity measure, not a ranking lever. Whether to allow training crawlers is your decision, and we will lay out the options.

robots.txt review for AI search crawlers and Googlebot
CDN and firewall allow-list check
llms.txt written to the llmstxt.org format
Sitemap and internal-link check
Search vs training crawler policy, your call
Clean, text-first page structure
06
Tracking prompts and reporting
Measurement

Track the same buyer prompts, month after month

Each month we re-run the same prompt set and report where you are named, how you are described, which sources are cited and what changed. AI answers vary from run to run, so we report patterns across repeated runs rather than one screenshot.

We also review Google Search Console, where traffic from Google’s AI features is counted inside the Web search performance report, and track enquiries from AI referrals wherever your analytics can identify them.

Versioned, fixed prompt set
Monthly report: mentions, descriptions, citations
Competitor mention comparison
Search Console review
Analytics view of AI referrals
Notes on what changed and what we do next

How a GEO engagement works

Four stages, from baseline to monthly tracking. Timings are indicative and are confirmed with you after the audit.

Stage 01 · First 2 weeks

Audit & baseline

We agree the buyer-prompt set with you, run it across the AI tools, record the baseline, check crawler access, indexing and entity consistency, and rank the fixes.

Stage 02 · Weeks 2–6

Foundation

Crawler access, schema, entity details and llms.txt are fixed. Priority pages are rewritten answer-first, with sourced facts only.

Stage 03 · From month 2

Content & mentions

New citation-worthy pages go live. We earn accurate third-party mentions and correct outdated listings in the places buyers and AI tools read.

Stage 04 · Monthly

Track & refine

The same prompts are re-run each month. You get a plain report of what changed, what we think caused it and what we do next.

Who GEO is for

GEO fits B2B companies whose buyers research suppliers online before they ever contact a salesperson.

B2B manufacturers and exporters

Typically ₹20–200 crore in annual revenue. Importers, OEM buyers and procurement teams ask AI tools which suppliers meet a specification, certification or export requirement. If your capabilities sit in PDFs, catalogue images or marketplace listings, AI tools have little to quote from your own site.

B2B service providers

Typically ₹1–10 crore in annual revenue. Buyers ask AI tools to shortlist consultancies, IT, compliance, engineering and logistics firms for a specific need. Clear positioning, named expertise and consistent third-party descriptions make it easier to be shortlisted accurately.

Probably not yet if your key pages are not indexed, your site does not explain what you sell, or you need enquiries next month. Start with B2B SEO to fix the foundation, or with lead generation for near-term pipeline, and add GEO after.

What we promise, and what we don’t

AI tools write their own answers, and nobody outside those companies controls them. So we commit to the work and the reporting, not to a result we cannot control.

We commit to

A clear baseline before we change anything. Accurate, sourced content with no invented statistics or customer names. Earned mentions only. A monthly report of what we observe, including when nothing moved.

We do not promise

Guaranteed citations, rankings or traffic from ChatGPT, Perplexity, Gemini or Google. Anyone who does is guessing. We also do not publish GEO results we have not measured: our published case studies cover B2B pipeline work, not GEO.

Big Leap is the brand of Big Leap Digital Services Pvt Ltd, a B2B marketing company in Gurugram founded in 2020 by Monil Bhardwaj. About Big Leap →

Generative engine optimization: common questions

What is generative engine optimization (GEO)?

GEO is the practice of making your company and content easy for AI search tools, such as ChatGPT, Perplexity, Gemini and Google AI Overviews, to find, trust and cite in their answers. Instead of ranking a page in a list of links, the goal is to be named or linked inside the generated answer.

How is GEO different from SEO?

SEO aims to rank pages in a list of results. GEO aims to get your company cited inside an AI-written answer. They overlap heavily: Google says SEO best practices still apply to its AI features. GEO adds clear entities, quotable evidence, third-party mentions and tracking of buyer prompts. Strong SEO remains the foundation.

Can you guarantee my company will be cited by ChatGPT or Perplexity?

No, and be wary of anyone who does. AI tools generate answers from their own systems, results change between runs, and no agency controls them. We can improve how clearly your company is described and sourced, then report what we observe each month: whether you are named, how, and who is cited instead.

How long does GEO take to show results?

There is no fixed timeline. Changes to your own pages only count once they are recrawled, which Google says can take anywhere from several days to several months. Third-party mentions take longer to earn. We re-run the same buyer prompts monthly, so you see movement, or the lack of it, as it happens.

Do I need an llms.txt file?

It is optional. llms.txt is a community proposal for a short, markdown overview of your key pages that AI agents can read. Google states you do not need new machine-readable files or AI text files for its AI features. We publish one because it is cheap and clarifies your site, not because it is a ranking lever.

How do you measure GEO progress?

We agree a fixed set of buyer prompts for your category and run them monthly across ChatGPT, Perplexity, Gemini and Google's AI features. We record whether you are named, how you are described, which sources are cited and which competitors appear. Because answers vary, we report patterns across repeated runs, plus Search Console and analytics data.

Is GEO right for a company of my size?

It suits B2B manufacturers and exporters at roughly ₹20–200 crore and B2B service providers at roughly ₹1–10 crore, where buyers research suppliers online before contacting anyone. It is not the first step if your key pages are not indexed or you need leads next month. Fix SEO basics first, or use outbound.

Sources

Find out whether AI tools name you today

Book a free 30-minute strategy call. We will talk through your buyers, your category and how AI tools currently describe you, and tell you plainly whether GEO is the right next step.

Talk to us about GEO →
No commitment · 30 minutes · A direct conversation with Monil Bhardwaj · Or call +91 70425 03265