Be the brand AI recommends — not just the brand it ignores.
Search behaviour is shifting faster than any time since mobile. Buyers now ask ChatGPT, Perplexity and Google AI Overviews instead of clicking ten blue links. If your brand isn't cited inside those answers, you're not in the consideration set — no matter how well you rank on traditional search.
How we earn your confidence
Four signals that show how we demonstrate Experience, Expertise, Authoritativeness and Trustworthiness on GEO — visible to both your team and the AI systems that retrieve us.
Early GEO practitioners in India
Active brand-visibility monitoring across Google AI Overviews, ChatGPT Search and Perplexity since they first appeared — tracking mention frequency and citation quality from day one.
Entity-SEO methodology
Schema, structured data and citation-network design built around how LLMs source, validate and cite information — not recycled SEO playbooks with new labels.
AI search visibility audits shipped
Systematic prompt testing across major AI engines — mapping where brands appear, where competitors win and where the gaps are worth closing.
Transparent reporting only
Brand-mention monitoring, prompt-testing logs and Search Console data — we never claim metrics we can't verify, and we say so when something is still evolving.
We don't sell rankings. We build brand-entity presence that gets your business named, cited and recommended inside the AI answers buyers now actually read.
From entity audit to AI citation — every month.
Five disciplines we run in lockstep so your brand stops being invisible inside the answers buyers now ask for.
Brand entity audit & visibility baseline
We systematically prompt-test ChatGPT, Perplexity, Gemini, Claude and Google AI Overviews for your category queries — mapping where your brand currently appears, where competitors win and the gaps where AI fails to mention or correctly characterise you.
Knowledge-graph & structured-data buildout
Comprehensive Schema.org markup, Organisation and Person entities, sameAs links, FAQ and HowTo schema, and verified profiles across Google Knowledge Graph, Wikidata and authoritative directories — the technical foundation LLMs use to validate entities.
Source coverage — Wikipedia, G2, Reddit, Quora
Earning brand mentions across the sources AI systems treat as high-trust — Wikipedia and Wikidata (where notability allows), credible industry publications, review platforms like G2 and Capterra, and conversational sources like Reddit and Quora that LLMs actively retrieve.
Content alignment for AI retrieval
Restructuring content for LLM consumption — clear factual claims, citation-friendly formatting, Q&A blocks, authoritative answer-format prose and pillar pages designed so AI systems can confidently retrieve, quote and attribute your brand.
Monitoring & citation tracking
Ongoing brand-mention monitoring across every major AI engine, monthly citation-share reporting, and strategy revisions based on observed retrieval patterns. We tell you which queries you now appear in, which you don't, and exactly how to close the gap.
Six engines. Six retrieval models.
Each AI engine retrieves and synthesises differently. We optimise for the signals each one actually rewards — not a one-size-fits-all checklist.
ChatGPT Search
Citation-driven retrieval inside ChatGPT — rewards structured factual content, clear claims and authoritative source coverage in its retrieval index.
Perplexity
Live-web retrieval with inline citations — rewards fresh, well-structured pages with clean schema and strong authority signals in the source list.
Google AI Overviews
The AI summary block at the top of Google search. Rewards strong traditional-SEO foundations plus Q&A-style content, FAQ schema and topical authority.
Gemini
Google's flagship LLM — heavily weights Knowledge-Graph entities, Wikidata and structured data. Entity-clean brands win disproportionately here.
Claude
Anthropic's LLM — strong on long-form reasoning and tends to cite sources it can verify. Rewards expertise-dense, well-attributed content.
Bing Copilot
Microsoft's AI search built on the Bing index — rewards traditional SEO plus crawl-friendly schema and clean sitemaps that surface in Copilot answers.
Where your AI visibility shows up.
Six surfaces where your brand needs to appear — each rewards different signals and earns different kinds of citations.
Inline citations
Clickable footnote-style links inside the AI answer itself — the highest-trust surface, because the AI is actively endorsing your source.
Featured-quote summaries
When AI lifts a direct quote or definition from your page into the answer — typically rewards crisp, claim-first writing and Q&A structure.
Source-list mentions
The "sources" panel below the AI answer — earned through authority, structured data and clear topical relevance to the query.
Knowledge-graph entities
Your brand appearing as a structured entity inside Google Knowledge Graph and Wikidata — the single biggest LLM-trust signal there is.
Wikipedia & Wikidata
Notability-led editorial coverage in Wikipedia and structured Wikidata entries — heavily weighted by every major LLM during training and retrieval.
Reddit / Quora retrieval
Brand mentions in long-tail Reddit and Quora threads — LLMs actively scrape and cite these conversational sources for buyer-intent queries.
Rankings flatter you. Citations fund you.
Six metrics we track every month so GEO progress always ladders back to brand-visibility and pipeline — not vanity dashboards.
Citation count by engine
How many times your brand is cited in answers across ChatGPT, Perplexity, Gemini, Claude, AI Overviews and Copilot every month.
Share of voice in AI answers
Your citation count vs competitors for the same category queries — the cleanest AI-era version of brand share-of-mind.
Brand-entity confidence score
How accurately AI engines describe what you do, who you serve and what category you sit in — without hallucinating or confusing you with competitors.
Source-list inclusions
Count of times your domain appears in the "sources" panel below AI answers — the easiest first win and a leading indicator for inline citations.
Query coverage
Of the category-relevant queries we systematically prompt-test, how many now mention your brand at all — the breadth metric.
AI-driven referral traffic
Sessions arriving from chatgpt.com, perplexity.ai, gemini.google.com and Copilot referrers — tracked in GA4 with proper UTM-tagged links.
Where GEO has the highest stakes.
Categories where AI search is already material — or about to be — and where early entity work compounds fastest.
What you get that most agencies skip.
Most agencies are still figuring out what GEO even is. We've been actively monitoring AI citations and rebuilding entity foundations for clients since AI Overviews and ChatGPT Search first shipped — and we document the work the whole way through.
Entity-first methodology — knowledge-graph and Wikidata are foundations, not afterthoughts.
Structured-data architecture engineered for LLM retrieval, not just rich snippets.
Knowledge-graph experience — Organisation, Person and Product entities cleanly modelled.
Wikipedia & Wikidata presence where notability allows — earned editorially, not bought.
Reddit & Quora authority — the conversational sources LLMs actively retrieve from.
Monitoring across every major engine — ChatGPT, Perplexity, Gemini, Claude, AI Overviews, Copilot.
AI-Overview content reformatting — Q&A blocks, claim-first prose and FAQ schema.
Transparent reporting — we name what's measurable, what's directional and what's still evolving.
Questions teams ask before they start GEO.
Ready to be the brand AI recommends by default?
Book a free GEO audit — we'll prompt-test your brand across every major AI engine and send a citation-gap report within 48 hours.