When ChatGPTis asked,be the answer.

ChatGPT does not run a directory you can submit to. Recommendations are drawn from the open web, so the way to get listed is to be the answer ChatGPT finds when it goes looking. That means three things in parallel: an authoritative page on your own site for every service or product you want to be recommended for, structured signals (FAQ schema, clear headings, factual prose) that LLMs can parse and quote, and citations on the third-party sources ChatGPT trusts (Wikipedia, industry roundups, Reddit, press coverage, Crunchbase, LinkedIn). Ikaroa's AIO engagement builds all three for you and monitors weekly to confirm the work is moving you up.

Each model crawls and indexes the web slightly differently but the playbook is the same across all of them. We optimise your owned content so it reads as citable rather than promotional, build presence on the third-party sources each model leans on (Perplexity weights Reddit heavily, Gemini leans on Google's own index, Claude favours structured factual sources, Copilot uses Bing), then run weekly visibility tests across every model so you can see exactly which queries are surfacing you by name and which still belong to a competitor.

Usually one of three reasons. Either your competitor has more citable third-party coverage (case studies on industry sites, Reddit recommendations, Wikipedia mentions, press), or your own pages are written in a way an LLM cannot confidently quote (long-form marketing copy without clear factual claims), or your competitor has a 'best [category] for [use case]' roundup page that LLMs found and treated as authoritative. AIO addresses all three in parallel and reports back monthly on which gap closed first.

Not officially. ChatGPT does not run a verified-business registry the way Google Business Profile does. The closest practical equivalent is making sure your business is correctly and consistently listed on the sources ChatGPT actually reads: your Wikipedia entry where you qualify, Crunchbase, LinkedIn, the major industry directories for your sector, and any structured review platforms. AIO covers this as the 'platform presence' workstream inside the engagement.

No. There is no sponsored placement inside ChatGPT, Claude, Perplexity, or Gemini answers. Anyone selling 'paid placement' inside an AI model's recommendations is misleading you. The only route in is earned visibility through optimisation of your own site and the third-party sources the model trusts. That is exactly what AIO is for.

We run scheduled prompt tests across ChatGPT, Claude, Gemini, Perplexity and Copilot, with the queries your buyers actually type. The report shows which models recommend you by name, which models recommend competitors instead, and which buyer queries you do not show up on at all. The report is the baseline; the AIO engagement is the work that moves the numbers.

AI Overviews pull from Google's existing search index, so strong technical SEO is the foundation. On top of that we optimise for the patterns Overviews favour: well-formed answer paragraphs, FAQ schema, comparison tables, and clear in-line citations. Sites that already rank in the top 10 organic results and are written in a citable format are the ones that get pulled into the Overview.

Five things, in order. 1) Publish authoritative service pages with structured FAQ markup so the model can lift answers verbatim. 2) Produce comparison and 'best X for Y' content that LLMs use as roundups. 3) Earn citations on the third-party sources each model trusts: Reddit, Wikipedia, industry press, Crunchbase. 4) Keep your information consistent across every platform you appear on, so the model does not see conflicting facts about you. 5) Monitor visibility weekly and adjust based on which queries are surfacing you.

Initial movement usually appears in four to eight weeks once the LLMs re-crawl updated content and ingest the first wave of new third-party citations. Sustained results, where your brand becomes a default answer for the queries that matter, take three to six months of consistent work. We share visibility reports monthly so the trajectory is visible from week one, not buried until quarter end.

Yes and no. Strong SEO supports AIO because every major LLM uses a search-engine index as its starting point. But AI models also weight signals that SEO does not optimise for: citation patterns, structured factual claims, third-party validation, consistent platform presence. A Google-only strategy will leave a lot of AI visibility on the table. We run both in parallel inside the same engagement.

AI Optimisation (AIO) is the practice of making your brand and content more likely to be recommended by AI systems like ChatGPT, Perplexity, Claude and Gemini when users ask questions related to your industry.

SEO optimises for traditional search engine results pages. AIO optimises for AI-generated answers and recommendations. The ranking factors are different: AI systems prioritise authoritative, well-structured, factual content over keyword density and backlinks.

No one can guarantee specific AI rankings because these systems are constantly evolving. What we can do is systematically improve every factor that influences whether AI systems recommend your brand, and track the results over time.

Initial improvements can appear within 4 to 8 weeks as AI systems re-crawl and process updated content. Sustained ranking improvements typically develop over 3 to 6 months of consistent optimisation.

Yes. SEO and AIO are complementary, not competing. Strong SEO supports AIO because AI systems often reference and cite well-ranked web content. We recommend investing in both.

We optimise across ChatGPT, Perplexity, Google Gemini, Claude, Microsoft Copilot, and emerging platforms. Our monitoring covers all major AI systems.

We use proprietary query testing across all major AI platforms, tracking whether your brand is recommended, cited, or mentioned in response to relevant queries. We report on visibility changes monthly.

Absolutely. B2B decision makers increasingly use AI for vendor research and shortlisting. Being recommended by AI during the research phase gives you a significant competitive advantage.