AIFun

Summary

AIFun presents itself as a productized AI visibility system and a specialist agency that helps brands be found, recommended, and considered by generative engines and AI assistants such as ChatGPT, Gemini, Perplexity, Claude, and Google AI Overviews. This review summarizes what is publicly documented, what is not, and practical next steps for prospective customers.

What AIFun does (publicly stated)

• Offers an AI Visibility Audit that runs 200+ buyer prompts across major LLMs and generative overviews to map where a brand is mentioned or omitted.
• Provides Generative Engine Optimization (GEO) services covering strategy, content, schema, and entity work aimed at improving how brands are cited and recommended in generative engines.
• Describes a productized system that uses AI, automation, and repeatable workflows.
• Publishes a blog with practical, field-tested guidance on AI search, AEO, and GEO.

All of the above is described on the company's public site and captured pages; the language frames these as diagnostic and optimization services rather than guaranteed placements.

Key features (concise)

• AI Visibility Audit: diagnostic report based on 200+ buyer prompts across multiple engines (ChatGPT, Perplexity, Gemini, Claude, Google AI Overviews).
• GEO Services: strategy and content work intended to increase the chance a brand is cited or recommended in generative outputs.
• Productized workflows: processes described as powered by AI and automation to make work repeatable.
• Resources: a public blog with guidance on AI search and generative engine optimization.

Pricing and contact (publicly available)

• A free 15-minute "Lovable territory check" is offered for prospects to assess fit.
• Contact options include booking a call and messaging on WhatsApp; the site states replies within 24 hours.
• Detailed plan tiers, exact costs, and specific deliverables are not listed on captured pages and should be clarified during the introductory call.

Who this is for / not for

Who this is for:
- Teams seeking specialist help to increase their visibility and citation likelihood inside generative engines and AI assistants.
- Organisations focused on building "Lovable" websites where design, SEO, AEO, GEO, automation, and content workflows matter.

Who this may not suit:
- Buyers that need published SLAs, fixed performance guarantees, or detailed pricing tiers before initial engagement (these are not visible in the captured materials).
- Organisations that require public case studies with documented outcomes prior to engaging (sample reports and references are not published on captured pages).

Risks and limitations (from public captures)

• The AI Visibility Audit is described as diagnostic: it reports where LLMs mention or omit a brand. The public pages do not show formal guarantees of placement or specific KPIs.
• Terms of Service apply to the use of AIFun services; prospective customers must accept those terms.
• Missing public details include detailed pricing tiers, performance guarantees or KPIs, sample audit reports or outcome-focused case studies, detailed data-privacy descriptions for customer data, and defined delivery SLAs.

Practical next steps (recommended)

1. Use the free 15-minute call to confirm fit and request sample audit reports.
2. Ask for a written scope: deliverables, timelines, number of prompts or iterations, and what success looks like in measurable terms.
3. Request references or case studies that document outcomes where possible.
4. Clarify data-handling practices, privacy controls, and contract terms (refunds, cancellations, SLAs) before signing.

Bottom line

AIFun publicly documents diagnostic audits and GEO services aimed at improving visibility in generative engines. The offering appears structured and resource-backed, but several commercial and operational details are not shown on captured pages and should be confirmed during diligence.