Keep your AI search strategy independent of unstable tools by owning your prompts and raw data, so vendor changes don't erase your measurement history.

One of the best things about the capabilities of AI is how easily it turns complex, multi-source data into dashboards anyone can understand.

Couple this with the opportunity of creating new tools and platforms for the AI search space, and you end up with this culmination of AI search tools and the need to fill a marketing channel void. The risk is that we reach for dashboards for comfort, especially when we are facing unknowns.

Search has always operated on a predictable, standardized framework when it comes to tools and platforms. You license an enterprise suite, import your target queries, track deterministic positions from one to one hundred and build quarterly reports that stakeholders can understand at a glance.

When generative search emerged, we naturally sought that same software-first playbook. Marketers looked for a platform to define what AI brand visibility should look like.

When you let software lead your AI strategy, you anchor your organization to an immature, volatile software market. And which tool do you choose with so many new offerings?

I researched Product Hunt, G2, and LinkedIn, and found 194 tools that have launched over the past two years that focus on aiding brands to improve their AI visibility.

Looking at the AI platform landscape, the number of tools and the speed at which they are being launched creates a false illusion of category maturity.

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