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AI Visibility Engineering · United States
50% of B2B buyers now start their vendor research in ChatGPT or Perplexity — not Google. If your brand isn't in those answers, the shortlist is being built without you. We audit your AI presence across 12 engines, identify every gap, and fix the signals that make LLMs cite your brand.
5-day turnaround · 12 AI engines audited · No retainer required
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/ This is for you if
The SaaS or B2B founder — Your ICP uses ChatGPT to research software categories before they ever Google a vendor. You've searched for your category in ChatGPT and seen competitors named. Your brand wasn't mentioned. You want that fixed — and you want it fixed before your competitors notice the same thing.
The CMO who tracks AI share-of-voice — You're already measuring brand mentions in traditional media. You know AI mention rate is the next metric that will matter. You want a specialist team running the programme — not an SEO agency that added "generative engine optimisation" to a landing page last quarter.
The growth lead who's read the reports — You've read that AI-generated traffic converts better than traditional organic. You've read that early movers in a category tend to stay in AI answers — because AI models are slow to change. You want to move now, not after the window closes.
The enterprise marketing team — You're in a competitive category where three or four brands dominate AI answers. You want a systematic programme — entity building, AEO content, schema, monthly tracking — not a one-time fix. You want a partner who treats AI visibility as an engineered system, not a checklist.
/ What's broken
AI models cite brands that are documented, consistent, and linked across authoritative sources. If your brand's entity footprint is thin — no Wikipedia entry, inconsistent Crunchbase data, missing from industry knowledge bases, no Google Knowledge Panel — LLMs have no reliable source to draw on. They cite the brands with the most consistent documentation. You can't outwrite your way past a weak entity footprint.
ChatGPT and Perplexity pull direct, structured answers from the web. If your pages are written as marketing copy — persuasive, brand-voice-forward, structured for human reading — they won't be quoted by AI engines. LLM citation requires a different content format: specific, factual, direct-answer structure. Most B2B websites aren't written this way.
LLMs are trained on and draw from sources that traditional search already trusts. A thin backlink profile, absence from industry publications, and lack of third-party references about your brand means AI models haven't seen enough about you to feel confident citing you. Your off-page authority needs to support your AI visibility, not just your domain rating.
Structured data tells AI what your business does, who it serves, and what your authoritative claims are. Without FAQPage, Organization, Service, and HowTo schema in JSON-LD, AI engines are inferring your relevance from unstructured text. That inference is less accurate and less consistent than what schema provides. Most B2B SaaS websites have no meaningful schema at all.
/ What we engineer
Each workstream is built by the team that audits it, and wired into the rest of your growth system.
A 47-point audit across 12 AI engines — ChatGPT, Gemini, Perplexity, Claude, Grok, Google AI Overviews, Microsoft Copilot, and five emerging engines. Delivered in 5 business days. You receive a score, a gap analysis, and a prioritised fix list ordered by impact.
We build and verify your brand's entity footprint across Wikipedia, Wikidata, Google Knowledge Graph, Crunchbase, and 20+ industry directories relevant to Nepal and your sector. Consistent, linked, authoritative brand data is what makes AI models trust and cite you.
We rewrite your key pages — services, about, FAQs — in direct-answer format. Every section is structured to answer the exact questions buyers ask AI engines in your industry. Specific. Quotable. Citable.
Full JSON-LD implementation across your site: FAQPage, HowTo, Article, Organization, and Service schema. We also add LocalBusiness schema with Nepali address data for AI Overviews appearing in local searches. Every type that AI engines use to identify authoritative sources.
A content calendar targeting the exact questions your buyers are asking AI tools right now — in English and with awareness of Nepali search context. Monthly content briefs, page-by-page targets, and performance tracking against AI appearance rates.
Monthly tracking of your brand's presence across ChatGPT, Gemini, Perplexity, and Google AI Overviews for your 20 most important tracked queries. Share-of-voice report delivered monthly. You see the trend. You see where competitors are appearing. You see what's working.
/ What changes
/ How it works
We run a 47-point audit of your brand's current presence across 12 AI engines. We check entity consistency, content structure, schema coverage, citation profile, and competitor AI share-of-voice. You receive a written report with a score, every gap identified, and a prioritised action plan with estimated impact per fix.
We review your brand's presence across 25 authoritative sources — Wikipedia, Wikidata, Crunchbase, Google Knowledge Graph, and sector-specific directories. We identify inconsistencies, missing records, and gaps that prevent AI models from confidently citing your brand.
We implement or fix JSON-LD schema across your key pages. We also restructure target pages to answer specific questions in direct-answer format. The goal: every important page on your site is readable and quotable by AI engines.
We write and publish pages targeting the exact questions your buyers ask AI engines. Each page has a target query, a direct-answer structure, supporting schema, and internal links. For Nepali businesses, we write in English with local context and terminology.
Monthly AI share-of-voice tracking across ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews for your 20 tracked queries. We expand to new queries, new product/service areas, and new engines as the category grows.
5-day turnaround · 12 AI engines audited · No retainer required
Run an AI Visibility Audit/ Evidence
The results. Not the claims.
View the full evidence librarySeries B SaaS platform in the HR tech category. Entity footprint built across 26 sources including Wikipedia, G2, Capterra, and industry associations. Competitor AI gap analysis identified 9 queries where…
B2B consulting firm targeting mid-market US companies. 18 FAQ-structured service pages published. FAQPage and Service schema implemented across all key pages. Perplexity citations increased from 0 to 11 tracked appearances…
DTC brand in the wellness category. Citation building across Wikipedia, major industry publications, Wikidata, and Product Hunt. Schema expanded to include Product and Review markup. AI referral sessions grew from…
/ Common questions
Straight answers on scope, timelines and cost. Anything else, ask us directly.
Ask us directlyAI visibility is how often and how prominently your brand appears in AI-generated answers — from ChatGPT and Perplexity to Google AI Overviews and Gemini. As B2B buyers increasingly start their vendor research in AI tools rather than Google, appearing in those answers drives early-stage brand discovery and shapes shortlists before a buyer ever reaches your website. AI visibility is determined by entity authority (how consistently your brand is documented across authoritative web sources), content structure (whether your pages answer questions in a format AI engines can quote), and citation signals. We track it across 12 AI engines monthly.
AI-generated traffic converts at 2–4× the rate of traditional organic traffic in measured US markets — buyers who arrive via an AI recommendation have already had your brand validated by a tool they trust. Brands appearing in the top position in AI answers in their category see 18–34% higher conversion rates from those sessions versus branded search. The category is still early enough that the brands building systematic AI visibility now are establishing a position that will be increasingly hard to displace.
SEO (Search Engine Optimisation) makes your website rank in Google's traditional blue-link results. AEO (Answer Engine Optimisation) makes your brand appear in AI-generated answers — in ChatGPT, Gemini, Perplexity, and Google AI Overviews. Both require a technically healthy site, quality content, and credible backlinks. But AEO requires additional work: entity authority across sources outside your website, content formatted for AI citation rather than just ranking, and schema markup that AI engines can parse. Traditional SEO alone does not produce AI visibility — and the two disciplines are most effective when engineered together.
No guarantee of specific AI placement is honest. LLM algorithms aren't fully transparent and update continuously. What we guarantee is completing all the measurable work that increases your citation probability: entity footprint across 25+ sources, direct-answer content, full schema implementation, and citation building. We track your AI share-of-voice monthly and report on real data — brand mention rate by engine, competitor comparison, and month-on-month trend. Typical results: meaningful, measurable improvement in AI appearance rates within 3–6 months.
AEO (Answer Engine Optimisation) focuses on getting your brand cited in conversational AI tools — ChatGPT, Perplexity, Claude. GEO (Generative Engine Optimisation) focuses on AI-generated search surfaces — primarily Google AI Overviews. The technical foundations overlap: entity authority, direct-answer content, and schema improve both. The difference is in the surface being optimised and how performance is measured. Most US businesses need both. We deliver both as one integrated programme.
LLMs favour brands that are consistently documented across authoritative sources, have content that directly answers the question being asked, carry strong citation signals from trusted domains, and have structured data that clearly identifies what the business does. The signal LLMs trust most is consistency — the same accurate information about your brand repeated across many trusted sources. A brand with a Wikipedia entry, a Google Knowledge Panel, Crunchbase profile, G2 reviews, industry publication citations, and well-structured FAQ pages is significantly more likely to be cited than a brand with only a website.
We submit a set of 20 tracked queries to multiple AI engines each month and record whether your brand appears in the response. We track ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. We report on brand mention rate, competitor mention rate, position within answers, and month-on-month trend. We also track AI referral traffic in GA4. This gives you a real share-of-voice metric.
Measurable improvement in AI presence typically begins within 3–6 months. Entity and schema work often shows faster early results — Google Knowledge Panel appearance within 4–8 weeks of entity building is common. AEO content takes 2–4 months from publication before AI models reliably cite it. Consistent appearance across multiple AI engines for multiple target queries is typically established within 6–9 months. We report monthly so you see every incremental gain.
Start here
Our 47-point AI visibility audit checks your brand across ChatGPT, Gemini, Perplexity, Claude, Grok, and Google AI Overviews — and benchmarks you against your top competitors. You'll know exactly where you stand, what queries your competitors are appearing for that you're not, and what to fix first. Delivered in 5 business days.
5-day turnaround · 12 AI engines audited · No retainer requiredIgnited Nepal
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