Looks like you're in . Want the local site?
AI VISIBILITY ENGINEERING
B2B buyers in Australia are using ChatGPT to research and shortlist suppliers before making contact. If the AI description of your business is wrong — outdated services, incorrect history, or confusion with a competitor — you are being removed from consideration before the conversation starts. We audit what AI engines say about your brand and correct it at the source.
View the evidence →
We are proudly featured on
Trusted by businesses we have shipped growth for
/ This is for you if
You searched your company name in ChatGPT and found the wrong founding year, incorrect office locations, or services you no longer offer. B2B buyers evaluating vendors see that description and move on to a competitor whose AI profile is accurate.
When procurement teams ask AI to compare your category in Australia, your brand gets merged with a competitor or similarly named business. The AI cannot distinguish the two entities, and your distinct market position disappears.
You rebranded, expanded nationally, or moved upmarket — but AI engines still describe the earlier version of your business. The sources they draw on were never updated, so the old positioning keeps surfacing in buyer research.
You have never checked what ChatGPT, Perplexity, or Gemini says about your business. For professional services firms, consultancies, and B2B suppliers operating in competitive Australian markets, that is an increasingly significant blind spot.
/ What's broken
AI engines draw on web data crawled at various points in the past. If your Crunchbase profile, early press coverage, or Wikipedia article contains errors, those errors appear in AI responses to buyer queries — including procurement research, vendor comparison, and due diligence queries.
Australian markets have many businesses with overlapping names or similar positioning. When AI models conflate two entities, buyers researching one receive a blend of facts about both. This is an entity disambiguation problem that requires deliberate correction across structured data.
Your business has grown and changed. But the sources AI engines trust — Wikipedia, Wikidata, established industry media — reflect the older version. Without active updates, AI engines continue describing a company that no longer exists in that form, costing you credibility with informed buyers.
Smaller or mid-market Australian businesses often have a thin authoritative web presence. When AI engines lack sufficient reliable information, they either generate minimal responses or produce plausible-sounding details that are not accurate. Both outcomes undermine buyer confidence.
/ What we engineer
Each workstream is built by the team that audits it, and wired into the rest of your growth system.
We query 12 AI engines — including ChatGPT, Perplexity, Gemini, Claude, and Copilot — using your brand name, competitor comparison queries, and category queries relevant to your Australian market. Every response is documented. Every inaccuracy is flagged. You receive a complete Brand Answer Audit Report.
Every inaccuracy is categorised and diagnosed. We identify the specific source feeding the AI wrong information — which web page, which outdated record, which crawled document — so corrections can be targeted and permanent.
We update the authoritative records that AI engines draw on: Wikipedia, Wikidata, Crunchbase, and relevant Australian business directories. Corrections are made to reflect your current business accurately.
Accurate brand mentions in tier-1 Australian media, industry publications, and analyst references give AI engines reliable, citable information about your brand. We earn placements that LLMs draw on when generating brand answers.
We build the structured data signals that allow AI engines to distinguish your brand from similarly positioned Australian competitors — separate entities, clearly differentiated across the web.
Every month, we re-audit your brand answers across 12 AI engines, track accuracy improvement over time, and deliver a Monthly Brand Accuracy Report. You maintain continuous visibility into how AI engines describe your business.
/ What changes
/ Common questions
Straight answers on scope, timelines and cost. Anything else, ask us directly.
Ask us directlyBrand answer accuracy is the degree to which AI engines — ChatGPT, Perplexity, Gemini, and others — describe your business correctly when asked about it. Inaccuracies include wrong founding dates, incorrect locations, outdated service descriptions, and conflation with other businesses.
AI engines draw on web data crawled at various points in the past. If authoritative sources — Wikipedia, Crunchbase, early media coverage — contain errors or outdated information, the AI treats those as reliable and repeats them in buyer-facing responses.
B2B buyers and procurement teams regularly use ChatGPT to research vendors before making contact. An inaccurate AI description — wrong scale, outdated services, or confusion with a competitor — can remove your business from the shortlist before any direct engagement occurs.
We query 12 AI engines using your brand name, competitor comparison prompts, and category-level queries. Every response is documented. Every inaccuracy is identified, categorised, and diagnosed. You receive a Brand Answer Audit Report with a hallucination log and source diagnosis.
We update the source records that AI engines draw on — Wikipedia, Wikidata, Crunchbase, and authoritative directories — and earn accurate brand mentions in tier-1 media and industry publications that LLMs reference. This changes the underlying data, not just the surface output.
Source corrections typically begin reflecting in AI responses within four to twelve weeks, depending on each engine's data refresh cycle. Retrieval-augmented engines like Perplexity update faster than models relying on periodic training runs.
Pricing depends on audit scope, the volume of inaccuracies identified, and the scale of authoritative source building required. Contact us at info@ignitednepal.com for a scoped proposal with AUD pricing.
Yes. Monthly monitoring covers re-auditing your brand answers across 12 engines, tracking accuracy improvement over time, and flagging new inaccuracies in a Monthly Brand Accuracy Report.
Start here
B2B buyers are using ChatGPT and Perplexity to evaluate vendors before picking up the phone. If the AI description of your business is wrong, you are losing deals before the conversation begins. We audit what AI engines say, correct inaccuracies at source, and monitor accuracy every month.
Ignited Nepal — Growth Engineering Company. AI visibility specialists for Australian B2B and professional services businesses.Ignited Nepal
Growth engineering · replies within 1 business day
By continuing you agree to our privacy policy.
