In short: WriteWorks has refreshed the AI engines your prompts are measured against, so every visibility check now runs on the current generation of each model - including GPT-5, Gemini 2.5, Grok 4.1 and Llama 4. Nothing changes in your workflow: run or schedule a scan as usual and results come from the newest model for each engine. It's aimed at growth and search-marketing leaders who need AI-visibility numbers they can present without caveats.

Measuring against a retired model version is one of the quieter ways AI-search reporting goes wrong. The answers older models give can differ from what your audience sees today, which means mentions, citations and sentiment slowly drift away from reality.

What are current-generation AI engines?

Current-generation AI engines is the refreshed line-up of models WriteWorks runs your prompts against, each pointed at the newest available version rather than a legacy release. In practice, when WriteWorks checks whether your brand is mentioned or cited for a given prompt, it asks the same model generation a real user would be talking to.

This is an improvement to the existing AI Engines area rather than a new feature to learn. The engines you already track keep their names; what sits behind them has been brought up to date.

How the update works

Every engine in WriteWorks routes through a single AI gateway, which is what makes a line-up refresh like this possible without changing anything on your side.

  • Each model was verified against the live catalogue available through that gateway.
  • Versions that had been discontinued by their providers were retired.
  • Each engine was then pointed at its newest equivalent - for example GPT-5, Gemini 2.5, Grok 4.1 and Llama 4, among others.

Because several current-generation models cost less to run than the versions they replace, the refresh also reduces the cost of running checks at scale.

Who this update is for

It's especially useful if you:

  • Report AI-search visibility to a leadership team or client and need to stand behind the numbers.
  • Track brand mentions, citations and sentiment across several engines and compare them against each other.
  • Run scheduled scans over time and want the underlying measurement to stay current without manual maintenance.
  • Are building an AI-search strategy where the difference between model generations materially changes which sources get cited.

Advanced users benefit too: if you maintain large prompt sets or engine-by-engine comparisons, the retirement of discontinued versions removes a source of silent data decay you'd otherwise have to audit yourself.

What this update changes

The practical shift is that your AI visibility data now describes the present rather than a snapshot of an earlier model generation. Mentions, citations and sentiment are drawn from the same models real people are prompting today, so the gap between "what our reporting says" and "what a customer sees when they ask ChatGPT" narrows.

It also removes a maintenance task. You don't need to check which model versions are still supported, swap engines manually, or rebuild prompt sets after a provider deprecates a release - WriteWorks handles the routing.

One thing worth planning for: because the underlying models have changed, results from scans run after this update may differ from earlier scans. That's expected, and it's a sign the measurement has caught up rather than a data problem. When you compare periods across the change, note it in your reporting so the shift is explained.

How to use it

There is no setup, no migration and no configuration step.

1. Open Analytics → AI Visibility.

2. Run or schedule a scan as you normally would.

3. Review your results - they now come from the latest model for each engine.

Tips for a better result

  • Run a fresh baseline scan across your core prompt set now, so future comparisons sit entirely on the current-generation line-up.
  • Add a short note to any dashboard or client report covering the transition period, explaining that the model generation changed on the update date.
  • Revisit prompts written for older model behaviour - phrasing that once triggered a mention may perform differently, and it's worth checking rather than assuming.
  • Compare engine-by-engine results after the refresh; current-generation models can differ in which sources they cite, which is useful input for where to invest in content.

Frequently asked questions

Which AI engines does WriteWorks measure against?

WriteWorks measures prompts across the AI engines in its AI Engines line-up, now running on the current generation of each model, including GPT-5, Gemini 2.5, Grok 4.1 and Llama 4 among others. Engines route through a single AI gateway, so the line-up can be verified against the live model catalogue and updated centrally.

Do I need to change anything to use the updated engines?

No. The refresh applies automatically to visibility checks. Open Analytics → AI Visibility and run or schedule a scan exactly as before, and results will come from the latest model for each engine. Existing prompt sets, schedules and saved configurations continue to work without migration or reconfiguration.

Why does measuring against current models matter?

AI models change quickly, and the answers they give - including which brands they mention and which sources they cite - change with them. Measuring against a discontinued or older version means your mentions, citations and sentiment describe behaviour your audience no longer encounters, which quietly skews reporting and the decisions built on it.

Will my historical visibility data still be comparable?

Historical scans remain available, but results gathered after the refresh come from different underlying models, so period-on-period comparisons that span the change should be read with that context. Running a fresh baseline across your core prompts gives you a clean starting point for ongoing trend reporting.

Which plans include the updated AI engine line-up? (confirm before publishing)

[Placeholder - plan availability to be verified before publishing.]

The bottom line

Keeping the engine line-up on the current generation of each model means your AI-search visibility numbers reflect what your audience actually sees, without any work on your part. If you'd like a clean baseline on the refreshed line-up, open Analytics → AI Visibility and run a scan across your core prompt set.