Choose a real question
Use natural category, comparison, trust, alternative, or purchase-intent language.
Research methodology
Every useful claim should trace to a buyer question, system, exact model, check date, returned answer, competitor observation, source note, and reviewed action.
Models vary by plan. Saved answers keep their model and date.
Insights submits buyer questions to named model APIs through OpenRouter. The application retrieves search results through Exa and supplies that evidence with the question. Models return a structured recommendation list of up to eight entries.
One search result set is shared across the repeated answers for a question in a run. Those answers test variation under shared retrieval; they are not independent web searches.
This is an API benchmark, not a recording of answers in ChatGPT, Claude, Gemini, Grok, Meta AI, or DeepSeek consumer apps. App-specific search, instructions, location, account history, and personalization can produce different answers. Consumer-app spot checks must be labeled separately.
Controlled check
Use natural category, comparison, trust, alternative, or purchase-intent language.
Preserve brand, category, location when relevant, competitors, and the exact submitted question.
Use the active registry and never silently substitute a model after failure.
Store exact model identifier, display name, timestamp, raw response where policy permits, and parsed findings separately.
Separate mentions, recommendations, order when meaningful, competitors, citations, evidence gaps, and uncertainty.
Tie the strongest supported gap to a URL or asset, rationale, owner, effort, and recheck timing.
Google, Gemini, and AI Overviews
Google’s AI search experiences, including AI Mode and AI Overviews, are connected to Gemini-powered AI systems. In The Answer reports a Google/Gemini check separately from other systems so businesses can understand how their brand appears in an important Google AI context.
This is not the same as claiming every live Google Search AI Overview will match the report. AI Overviews can vary by query wording, location, account state, personalization, rollout status, and timing.
For that reason, every report labels the system, model, date, buyer question, and evidence used in the check.
Show whether your brand appears in important AI answer contexts and what evidence may be missing—without claiming control over Google’s live answers.
Current model registry
Registry updated 2026-09-27. The account dashboard lists the active model versions available to each plan.
| Consumer surface | Current In The Answer model | API source evidence | Search context | Failure handling |
|---|---|---|---|---|
| ChatGPT | GPT-6 Astra | References to supplied sources, when returned | Application-provided search results; native web browsing not enabled in this benchmark | Show unavailable; do not substitute |
| Gemini and Google AI search experiences | Gemini 3.8 Flash | References to supplied sources, when returned | Application-provided search results; native web browsing not enabled in this benchmark | Show unavailable; do not substitute |
| Claude | Claude Opus 5.5 | References to supplied sources, when returned | Application-provided search results; native web browsing not enabled in this benchmark | Show unavailable; do not substitute |
| DeepSeek app (separate experience) | DeepSeek V4.1 Flash | References to supplied sources, when returned | Application-provided search results; native web browsing not enabled in this benchmark | Show unavailable; do not substitute |
| Grok on X, web, and mobile | Grok 4.7 | References to supplied sources, when returned | Application-provided search results; native web browsing not enabled in this benchmark | Show unavailable; do not substitute |
| Meta AI (Thinking mode) | Muse Spark 1.3 | References to supplied sources, when returned | Application-provided search results; native web browsing not enabled in this benchmark | Show unavailable; do not substitute |
Historical reports preserve the exact checked model. Google AI Overviews and Meta AI are consumer experiences; Gemini 3.8 Flash and Muse Spark 1.3 are named direct routes in the current lineup.
What we can observe
What we infer cautiously
AI answers vary by model, version, date, settings, available information, and user context. One question cannot represent an entire market. Repeated appearances are not market share. A before-and-after change does not by itself prove that one page edit caused the result. Sources are recorded only when returned in the evidence. Retrieval of a page does not by itself mean the answer cited or recommended it. Recommendation rate uses valid completed answers as its denominator; failed and skipped checks remain visible in collection coverage. Position is measured within the returned list, not as a universal search ranking. Model, prompt, search, or identity-rule changes start a new comparison segment.
AI tools and sources
Used directly for product research, comparisons, recommendations, and work.
The direct Gemini check can be reviewed alongside Google-visible evidence. It does not reproduce AI Overviews or AI Mode.
Google reported 1.5B monthly AI Overview users in Q1 2025; the In The Answer run checks Gemini, not a live Google AI Overview.
Used for detailed research, writing, coding, long documents, and careful comparison work.
An API check using web evidence supplied by In The Answer. It does not reproduce the DeepSeek app or its native browsing.
Used for current-event, public-conversation, research, and recommendation questions.
This is a direct Muse Spark 1.3 API check. The Meta AI app can add different context and tools, so its answers may differ.
The Meta AI consumer product can apply different tools, context, and instructions than this direct model route.
Publication safeguards
Learn more
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