Six Platforms.
One Underlying Discipline.

Roughly 80% of AI visibility work is shared across every platform — crawler access, entity clarity, extractable structure, corroboration. These pages cover the 20% that genuinely differs.

Platform pages

Where each platform differs

We optimize for all six in every engagement. These pages explain the platform-specific tactics that matter at the margin.

A caution

Be Sceptical of Platform-Specific Silver Bullets

A lot of AI SEO marketing implies each platform needs a completely separate strategy, usually because separate strategies are easier to sell as separate line items. That isn't what we find in practice.

The things that matter most — whether crawlers can read your site, whether models can resolve your brand, whether your content contains extractable answers, whether independent sources corroborate your claims — help everywhere simultaneously. A brand that fixes those improves across all six platforms at once.

What genuinely differs is worth knowing: Perplexity searches on nearly every query and moves fastest, Copilot depends entirely on Bing's index, Gemini leans on Google's knowledge graph, and Claude hedges when corroboration is thin. Those differences shape sequencing and emphasis, not separate programmes.

Questions & answers

Frequently asked questions

Do we need a separate strategy for each platform?

No. Around 80% of the work — crawler access, rendering, entity clarity, extractable structure, corroboration — improves visibility on every platform simultaneously.

Platform differences affect sequencing and emphasis rather than requiring separate programmes. We'd be sceptical of anyone selling six separate retainers.

Which platform should we prioritise?

It depends on your buyers. ChatGPT has the largest reach; Perplexity skews professional and moves fastest; Copilot has enterprise distribution; Claude concentrates technical and professional users; Gemini and AI Overviews carry Google's scale.

For diagnostic purposes we often start with Perplexity, because it retrieves live and shows its sources, making it the clearest early signal that the underlying work is functioning.

What if a model update wipes out our visibility?

It happens, and it's why we monitor monthly rather than delivering one-time projects. Model updates reshuffle source selection, sometimes substantially.

Durable assets — entity clarity, schema accuracy, genuine corroboration — survive updates better than tactical wins, which is where we weight the work.

Do you cover platforms not listed here?

We can add others where there's a genuine reason — regional assistants or emerging platforms relevant to your market. The six listed cover the overwhelming majority of commercial AI search in the US.

We'd rather cover six properly than fifteen superficially.

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