AI SEO Strategy Company for Google and AI Search

An AI SEO strategy company optimises for both Google rankings and AI platform citations simultaneously. Traditional SEO agencies focus exclusively on Google search results, missing the growing segment of searchers using ChatGPT, Perplexity, Claude, Copilot and more. The content structure, semantic markup and passage-level optimisation required for AI citation differ significantly from conventional SEO approaches. Working with an AI SEO agency means your content gets optimised for where search is heading, not just where it has been.

Initial improvements typically appear within 8-12 weeks, with significant revenue impact by month 4-6. AI platform citations often appear faster than traditional Google rankings because competition is lower. For context, a B2C client achieved $7.7M in organic revenue within 11 months, starting from essentially zero SEO presence. Results vary based on your current authority, competitive landscape and content velocity.

ROI calculation follows standard methodology: revenue generated minus marketing investment, divided by investment, multiplied by 100. The key is connecting organic traffic to actual conversions and revenue using proper attribution tracking. All revenue calculations are reviewed and approved monthly with clients to ensure accuracy. This approach has documented 1,909% ROI for a SaaS client and 6,864% average ROI for a B2B services company.

Yes. While based in Australia, client campaigns run across Australian, US, UK and global markets. SEO and AI optimisation strategies adapt to regional search behaviour and platform preferences. The fundamental approaches to building topical authority and AI platform visibility apply regardless of geography.

Minimal. The done-for-you model handles strategy development, content creation, technical implementation, publishing and ongoing optimisation. Your involvement is limited to onboarding, monthly strategy calls (optional) and final content approval. This approach exists to free your team up to pursue other growth opportunities and to not get bogged down in minute SEO execution details.

Existing content gets audited for AI platform optimisation potential. High-performing pages receive passage optimisation and structural updates to improve AI citation probability. Underperforming content gets prioritised for refresh or consolidation. The strategy balances new content creation with optimising existing assets for maximum efficiency.

Primary focus areas include SaaS, eCommerce and professional services businesses with $2M-$100M revenue. These sectors share characteristics that make AI SEO particularly effective: complex buyer journeys, research-heavy purchase decisions and content-intensive industries. Case studies document results across B2B services, B2C professional services, SaaS and eCommerce.

No ethical SEO provider can guarantee specific rankings because Google and AI platforms control their algorithms. What can be guaranteed is the application of proven methodologies that have consistently delivered results. The same approaches that generated 138 AI citations for one client and 169 citations for another are applied to every campaign.

AI SEO strategy incorporates specific technical and structural requirements that standard content marketing ignores. This includes semantic HTML formatting, passage-level optimisation for AI retrieval, structured data implementation and content architecture designed for how AI search actually works. Regular content marketing focuses on creating valuable content without considering how AI platforms parse and cite that content.

Strategy development transitions into ongoing execution through AI SEO growth campaigns. These include weekly content creation (12-48 pages monthly, depending on your level of investment), continuous technical monitoring, ranking and traffic tracking and strategic adjustments based on performance data. The strategy becomes a living document updated quarterly based on results, business and market changes.