Dattva Services
Generative Engine Optimisation: Making Your B2B Company Visible in AI Search
Generative Engine Optimisation (GEO) is the practice of structuring a company's web presence so ChatGPT, Perplexity, Gemini, and Claude cite it when buyers ask who to call. SEO targets Google's ranking algorithm. GEO targets the response layer these tools generate, before a buyer ever clicks a link. Dattva runs this as a done-for-you service for B2B tech companies in India.
Why GEO Now: The Shift That Is Already Happening
The shift isn't coming. It already happened, and most companies haven't noticed. In the first week of June 2026, bot traffic overtook human traffic on the open web for the first time, reaching 57.2% of all requests (Cloudflare Radar, May 30 to June 5, 2026), crossing the majority mark more than a year ahead of most forecasts.
A meaningful share of that bot traffic is AI systems reading the web on a buyer's behalf rather than indexing it for later. When someone asks ChatGPT to recommend a cloud consulting firm, the answer leans heavily on Bing's organic rankings. 87% of ChatGPT citations match Bing's top three organic results (Seer Interactive), which means a page that ranks well on Google but has never been properly indexed by Bing can simply be absent from the answer.
The traffic that does arrive through these tools converts unusually well. Referral traffic from LLMs grew 41x over two years and now converts better than almost any other channel measured (PostHog).
For B2B buyers in India — procurement teams inside GCCs, startup founders, enterprise IT heads — this has already changed how vendor shortlists get built. A growing share of that research now happens inside ChatGPT and Perplexity before anyone visits a company's website. If a company doesn't appear in that first AI-generated answer, it's often not considered at all. Not rejected. Just never surfaced.
None of this shows up in the metrics most marketing teams still watch. Organic sessions, keyword rankings, and Search Console impressions can all look stable while a company quietly disappears from every AI-generated shortlist a buyer sees before they ever type a company name into Google. By the time that gap shows up in a pipeline number, it has usually been costing deals for months.
The companies being cited are not necessarily bigger or better than the ones being ignored. They are structured differently.
How Each AI Platform Works, and What That Means for Your Visibility
Each of the four major AI platforms pulls its answers from a different source, and a company can be well represented on one and invisible on another.
Its browsing capability runs on Bing's index, not Google's. Since 87% of its citations match Bing's top three organic results (Seer Interactive), a company that has never been properly crawled and indexed in Bing is effectively invisible to ChatGPT, regardless of how well it ranks on Google. Third-party listicle blogs — the "Top 10 Cloud Consulting Companies in India" style roundups — carry disproportionate weight here, since ChatGPT often pulls a company's name and positioning directly from how these pages describe it rather than from the company's own site.
Perplexity crawls the web directly rather than depending on a single search index, and it reads community platforms including Reddit threads, Quora answers, and review sites as source material. It also picks up social media activity and LinkedIn, so a company page and its founders' posts that go quiet for months read as a weaker signal than an active, well-discussed presence. Third-party mentions and community discussion carry real weight in what Perplexity chooses to cite, in a way that a company's own website copy cannot replicate on its own.
These work from the Google index, structured schema markup on a company's own pages, and YouTube transcripts. Listicles, business media coverage on outlets like YourStory, Economic Times, or Inc42, and Reddit threads all feed into this index too, and tend to carry more weight than a company's own claims about itself. Entity verification through Wikidata feeds into how confidently Gemini recommends a company by name rather than describing it generically.
Claude uses Brave Search as its web search backend, which is a separate index from both Google and Bing. A company that is well indexed in Google, and therefore visible to Gemini, can still be missing from Brave's index, and therefore missing from Claude's answers.
The practical implication is that GEO isn't one task performed once. A company that shows up in Gemini and Google AI Overviews because its Google indexing is solid can still be absent from ChatGPT and Claude, because Bing and Brave were never addressed. Related foundation work is covered in Agent Readiness and ongoing tracking in AI Visibility Monitoring.
What the Engagement Delivers
The engagement covers three categories of work — technical, content, and external citations — measured against a fixed set of buyer questions tracked from day one.
- Technical. This makes a site readable and accessible to AI crawlers. It's the structural access that determines whether a page can be read and attributed at all, independent of how good the writing on it is. The work typically includes crawlability fixes, schema implementation, entity optimisation, indexation improvements across Google, Bing, and Brave, and technical audits that improve AI discoverability.
- Content. This restructures existing pages so an AI system can extract a direct answer and attribute it correctly. It's the difference between a page an AI can quote and a page it has to guess about. The engagement covers rewriting key commercial pages, creating AI-answerable content, strengthening topical authority, and improving factual consistency so models can confidently cite the business.
- External citations. This builds the third-party presence — reviews, community mentions, directory listings, structured data — that AI platforms use to verify a company actually does what its website claims. The work focuses on earning authoritative mentions, improving business profiles and knowledge entities, strengthening review signals, and increasing credible references across the web that AI systems use for verification.
Before the engagement starts, we agree on 10 specific buyer queries. We call them Money Prompts — the exact questions a real buyer would type into ChatGPT or Perplexity when shortlisting a vendor. These are tracked weekly, with a full cross-platform audit run at Day 30, Day 60, and Day 90.
The commitment: 5 of 10 Money Prompts showing the client cited by Day 90.
Who This Is For
This engagement is built for B2B technology companies that know buyers are increasingly using AI platforms to research vendors before ever visiting a website. It is designed for businesses that have a strong product, credible customer proof, and a functioning marketing engine, but are not consistently being cited when buyers ask ChatGPT, Perplexity, Gemini, or Claude for recommendations.
The typical client is a founder, CMO, VP Marketing, or revenue leader who has noticed competitors appearing in AI-generated answers while their own company is missing. In many cases, they already rank reasonably well in Google and have invested in SEO, content, and demand generation, but have not yet adapted their digital presence for how AI systems discover, interpret, and verify businesses.
It is best suited for B2B SaaS, IT services, cloud consulting, cybersecurity, AI, fintech, HRTech, and other enterprise technology companies where a single qualified customer can justify the investment. Companies that see the strongest results are those able to review content promptly and work collaboratively throughout the engagement, allowing recommendations to be implemented without unnecessary delays.
For neighbourhood and local-service visibility, see Local GEO. For correcting inaccurate AI descriptions of your brand, see AI Hallucination Detection.
Frequently Asked Questions
What is Generative Engine Optimisation?
Generative Engine Optimisation (GEO) is the practice of structuring your presence so AI platforms like ChatGPT, Perplexity, Gemini, and Claude cite you when a buyer asks who to call. SEO helps you rank on Google; GEO ensures that you get quoted in the answer before the buyer ever clicks through. Dattva runs GEO services tailored to B2B technology companies in India.
How long does GEO take to show results?
Most Dattva clients see their first AI citations within 4-6 weeks, once we've fixed crawlability and rewritten key pages into a format AI systems can quote directly. The full 90 days is where compounding happens — external citations, reviews, and directory listings take longer to accumulate and for platforms like Bing and Brave to re-index and trust. We track this weekly against all 10 Money Prompts, not on a quarterly guess.
Does GEO replace SEO?
No, we consider GEO as a layering on top of the SEO that you already have and not a replacement. Gemini keeps pulling data from Google's index, making sure that your money spent on SEO is worth the effort. On the other hand, ChatGPT uses Bing while Claude uses Brave, both of which are seldom used by B2B businesses in India.
Which AI platforms do you optimise for?
All four channels that customers generally use to identify vendors — ChatGPT, Perplexity, Gemini, and Claude — are optimized by Dattva. While each platform gets its information from a different source, Bing and listicles for ChatGPT, Reddit and LinkedIn for Perplexity, Google Index and Wikidata for Gemini, and Brave Search only for Claude, none of these should be considered as one channel since a company visible through Gemini might be unknown to Claude.
How do you measure success?
Before embarking on any project, we create 10 Money Prompts for you — exactly the prompts that genuine customers would input into ChatGPT or Perplexity when looking for companies like yours. Citation progress is checked on a weekly basis while a thorough cross-platform audit is conducted after 30 days, 60 days, and 90 days of starting. What we guarantee to you is that 5 out of your 10 Money Prompts will get citations within 90 days.
Can a smaller company compete with large ones in AI search?
Indeed, this is precisely when the Dattva client often finds themselves making the fastest progress. The AI platform focuses on structure and third-party verification as opposed to size of the firm or amount spent on marketing. A smaller but highly indexed and reviewed company will thus beat the larger one which has failed to adapt. Our standard strategy starts with the easiest questions to answer from your target buyers.
What industries do you work with?
Dattva works exclusively with B2B technology companies in India, covering areas like SaaS, IT services, cloud consulting, cybersecurity, AI, fintech, and HRTech. The partnership is meant for those companies that require just one client who qualifies as a customer for the venture to become worthwhile. They must have a good product and a customer base but do not match up with how AI platforms recognize and validate their vendor status.
What do you need from us to start?
To begin with, Dattva will require CMS or developer access to make the necessary changes, a shortlist of reference clients to approach for feedback and testimonials, and an approval process that takes no more than 48 hours on your end. Quick responses on these three aspects usually get their first citation faster since the Day 90 promise assumes this pace of operation.
See whether AI recommends you — or your competitors
Get a free AI Visibility diagnostic across ChatGPT, Perplexity, Gemini, and Claude, with prioritised fixes mapped to your Money Prompts.