OpenAI APIAI visibility trackerEnterprise custom coverage · confirm scope with our team
OpenAI API visibility tracker
Know where your brand appears. Know what to do next.
Benchmark brand mentions and cited sources in OpenAI API responses. Scope Astra, Sol, Luna and Terra experiments separately from ChatGPT consumer visibility.
OpenAI API is not included in standard monitoring or the standard trial. Collection feasibility, method, cadence and deliverables require agreement.
Enterprise custom coverage · confirm scope with our team
Start with a clear monitoring brief.
Bring your target market, prompt sample, preferred interface and reporting requirements. We will establish whether custom OpenAI API coverage fits your project before you commit.
01Astra / Sol / Luna / Terra
Record the exact model identifier and version selected for the experiment.
02Responses API and tools
Log search settings and actual tool usage, not only the requested configuration.
03ChatGPT consumer product
Use a separate observation set; an API benchmark is not consumer exposure.
For a custom engagement, use these as acceptance criteria. Availability is confirmed during scoping, not promised by this page.
A reproducible API study defines the model, endpoint, instructions and tools. Astra, Sol, Luna and Terra labels should resolve to the actual model identifiers used in each run, rather than an assumed consumer default.
Web-enabled responses can expose citations, while a request may not use search at all. Count the evidence returned by the run and keep retrieved sources distinct from sources cited in the final answer.
Read the signal. Choose the right action.
Mentions, citations and visits answer different questions. Keep them separate before deciding what to optimize.
Read the signal. Choose the right action.
Signal
What it tells you
What to do with it
Brand mentions
Whether the brand is named in the sampled answers.
Find missing buying intents; inspect how the brand is described.
Citation Rate
The share of tracked answers citing your own domain.
Inspect the cited URLs and the facts your pages need to support.
Share of Model
Your share of brand mentions within the same answer set.
Compare the competitors actually named, using a stable prompt set.
Sentiment & answer position
The wording around a brand and its order in the answer.
Read the original context before interpreting a positive or negative label.
Referral visits
Attributed website sessions in your analytics.
Evaluate landing pages and key events separately from AI visibility.
Start with better questions.
Choose a business type and build a small prompt set you can copy into your research workflow. These are editable examples—not live engine results or measured search demand.
Replace placeholders and select your target country and language in your tracking workflow. The starter runs in your browser; it does not query an AI engine.
01
Which wireless headphones brands should a first-time buyer consider?
02
Which wireless headphones options are worth comparing at different budgets?
03
How does [your brand] compare with other wireless headphones options?
04
What should I verify before choosing [your brand]?
05
Which reliable sources support the claims about [your brand]?
06
When should I choose an alternative to [your brand]?
OpenAI API / Your workflow
From an answer to your next content decision.
01
Version the research setup
Inspect
Inspect model ID, system instructions, endpoint and available tools.
Act
Save a configuration snapshot and change one variable per comparison. Exclude API errors from valid answer totals.
Keep the evidence: Model ID · configuration · run status
02
Check actual search use
Inspect
Determine whether the response used a search tool and which citations it exposed.
Act
Distinguish no-search answers, retrieved sources and final citations. Investigate the specific cited page before prescribing an update.
Keep the evidence: Tool call · final citation · URL
03
Report the right population
Inspect
Check whether a result describes configured API runs or observed consumer sessions.
Act
Label API metrics as benchmark outcomes. Keep the standard ChatGPT tracker as a separate source of consumer observations.
Keep the evidence: Sample scope · prompt count · date
Your first measurement cycle
For OpenAI API, agree the collection and delivery scope before this cycle starts.
01
Set the baseline
Choose one market and a focused set of discovery, comparison and validation questions. Save the prompt list before measuring.
02
Read the evidence
Inspect missing mentions, citation gaps and inaccurate claims. Prioritize by relevance to a real customer decision.
03
Change one useful thing
Improve a specific page or source. Record what changed and when, then compare equivalent observation windows.
Choose the coverage you actually need.
Bring your target market, prompt sample, preferred interface and reporting requirements. We will establish whether custom OpenAI API coverage fits your project before you commit.
OpenAI API is not included in standard monitoring or the standard trial. Collection feasibility, method, cadence and deliverables require agreement.
Does GEOly include OpenAI API in standard monitoring?
OpenAI API is not included in GEOly standard monitoring or its standard trial. Discuss an Enterprise custom research brief; collection feasibility, access, cadence and deliverables must be confirmed before work begins.
What should a OpenAI API research brief include?
Specify the exact product or API, model where known, market, language, search settings and prompt sample. Agree what counts as a mention, a citation and a valid observation. A page about a platform does not mean collection is already available.
Can API results tell me what every ChatGPT user sees?
No. An API run measures its own configured model, tools and context. ChatGPT has a separate product experience; report the two populations independently.
Does tracking guarantee AI recommendations?
No. Monitoring helps you identify gaps and inspect changes. It does not control an engine’s answers or guarantee citations, rankings or traffic growth.
Does the prompt starter query an AI engine live?
No. It builds research questions in your browser from your inputs. It does not run collection or show measured demand. Actual monitoring is configured separately.
How should I compare results over time?
Use the same prompt set, engine, market and language across equivalent windows. Inspect valid observation counts and raw answers, and annotate any collection or product-configuration changes.
Is AI visibility the same as website traffic?
No. A brand can be mentioned or cited without receiving a click. Use answer records to assess visibility and GA4 or your own analytics to assess visits and conversions.
OpenAI API is not included in standard monitoring or the standard trial. Collection feasibility, method, cadence and deliverables require agreement.
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