GEO • AI search visibility
UnifAPI vs Botify
Botify is often evaluated by teams responsible for large websites, where crawl coverage, indexability, content deployment, and AI discovery overlap. UnifAPI is useful for a narrower job: obtaining external search and AI-answer evidence through an API. For a retailer or publisher, the practical decision may be which workload belongs in each tool, rather than selecting a single winner for everything.
Choose the right fit
Choose Botify
Teams that need website-scale technical SEO, bot analytics, and automated optimization.
Choose UnifAPI
You want live ChatGPT/Gemini evidence, repeatable prompt panels, or API data for your own GEO product. Use the included local monitoring runner or your own application; you control scheduling, storage, analysis, and presentation.
Website data and market data start in different places
“Why is this page not being discovered?” can require both an internal diagnosis and an external observation.
How Botify handles it
Botify’s API documentation describes data derived from crawling, server-log ingestion, and integrations. Its collections include crawl snapshots, Search Console, sitemaps, and visits. A project’s configuration determines which data collections are available.
Botify · Official sources ↗How UnifAPI handles it
UnifAPI’s GEO and SEO calls begin with a public query, keyword, URL, or domain. Use them to inspect what appears in search or AI answers and which competitor pages are referenced. You do not need to create a crawl project to investigate an external domain. But the result cannot tell you everything about the internal crawlability of your own website.
What this means for your team
Use an external observation to decide what to investigate; use crawl and first-party evidence to diagnose why a site behaves that way.
BQL: analysis across collections versus focused API operations
Consider an analyst comparing indexable pages with visits for the same site segment.
How Botify handles it
Botify Query Language expresses metrics, dimensions, filters, and periods over collections. Its purpose includes combining different data sources. That is valuable when the question depends on the relationship between a crawl snapshot and traffic or search data.
Botify · Official sources ↗How UnifAPI handles it
UnifAPI exposes separate operations for SERPs, keywords, backlinks, and AI mentions. Fetch the records needed for the question, then join them in your own database or assistant workflow. This gives you control over the analysis, but BQL expressions do not translate into a single UnifAPI call. In particular, private traffic and crawl collections are not available through an external search endpoint.
What this means for your team
Price the data model and joins, not only the HTTP requests. A BQL-dependent dashboard may need redesign even when some public-data inputs are replaceable.
From finding a gap to changing a website
A useful finding and a deployed fix are separate outputs.
How Botify handles it
Botify positions AI Readiness, AI Visibility, and AI Activation together, including content generation, deployment, and indexation workflows. That breadth matters for teams buying operational changes across a website rather than only an analyst’s report.
Botify · Official sources ↗How UnifAPI handles it
UnifAPI can help find missing citations, competing pages, or search opportunities. Its public-data service is read-only. Use those findings to prepare a prioritized brief, then apply changes through your own CMS and engineering process. The evidence can guide work, but it does not automatically update canonical tags, internal links, page content, or indexation settings.
What this means for your team
If your purchase is justified by automated website changes, evaluate that workflow directly. Do not treat a read-only API as an equivalent automation platform.
A retailer’s category-page investigation
Imagine a retailer whose category is visible in organic search but rarely cited in AI answers.
How Botify handles it
A Botify-based investigation can use the site’s available crawl and integrated data to examine the relevant page segment. That helps the team investigate whether the pages are discoverable and how their own site data relates to the issue.
Botify · Official sources ↗How UnifAPI handles it
Query the same buying question in ChatGPT and Gemini with /geo/answers, then inspect Google AI Mode and organic results separately. Compare brand mentions with citations to the retailer’s own pages. Save the prompt panel before a content change and repeat it afterward, comparing only matched successful samples. The evidence supports a reviewable brief; it does not establish that the content change caused a visibility movement.
What this means for your team
These workflows can complement each other. An external competitor may be observable even when you have no access to its crawl or analytics data.
From collection to a reviewable report
- 01
Collect answers
- 02
Save dated evidence
- 03
Analyze the sample
- 04
Deliver the report
The included Node runner checks live prices and a run budget, saves answer evidence to local JSON/CSV, resumes pending cells, and compares paired successful samples. Reuse saved data for reports. Your scheduler starts future runs; a crashed or timed-out request stays unknown until reviewed.
Monitoring runner and setup guide ↗What you are choosing
| Workflow | UnifAPI | Botify |
|---|---|---|
| Product experience | Public-data API, MCP, and a local runner for budgeted monitoring, JSON/CSV snapshots, and paired comparisons. | AI Readiness, AI Visibility, and AI Activation, including website and bot analytics.Official sources ↗ |
| API access & commitment | Self-serve prepaid credits; no monthly subscription. Endpoint minimums apply. | Botify publishes API documentation and offers a demo-led sales flow. No public per-call API price was verified in the cited sources; request a quote.Official sources ↗ |
| AI visibility coverage | Live ChatGPT and Gemini web answers, Google AI Mode, indexed mentions and monthly corpus trends. Each operation has its own coverage and measurement method. | GEO analytics alongside website analytics, bot insights, and content deployment capabilities.Official sources ↗ |
Which engines and regions can you query?
Live custom prompts use Google AI Mode via /geo/serp, or ChatGPT and Gemini web answers via /geo/answers. Indexed mention search and aggregation remain separate: engine=google covers Google AI Overviews; engine=chatgpt covers ChatGPT in the United States, in English. Perplexity and Claude live prompts are not supported. UI translations do not expand data coverage.
Available API building blocks →Pay as you go, with visible call minimums
Credits cost $0.001 each, paid from a prepaid top-up. Charges follow the operation’s per-record rate and minimum; returning fewer records does not remove that minimum. Your assistant subscription, storage, and scheduling costs are separate.
| Workload | ChatGPT / Gemini calls | AI Mode calls | Mention-search calls | Minimum API usage |
|---|---|---|---|---|
| One-off audit | 40 | 20 | 2 | $3.40 |
| Monthly research report | 400 | 100 | 10 | $23.00 |
| Daily collection · 30 days | 6,000 | 3,000 | 30 | $240.00 |
Illustrative workloads, not equivalent competitor plans. The daily example uses 100 prompts on each of ChatGPT and Gemini, 100 AI Mode calls and one indexed search per day for 30 days. Larger result sets and additional collection cost more. Set a maximum budget before running; unknown outcomes are not automatically retried.
Botify: Botify publishes API documentation and offers a demo-led sales flow. No public per-call API price was verified in the cited sources; request a quote.
Botify · Official sources ↗Estimate the workflow before you commit
Budget every operation separately. The monthly example includes 400 ChatGPT/Gemini answers, 100 AI Mode calls and 10 mention searches: at least $23.00 in API usage. The 400 answers can represent 100 prompts × two engines × two samples. This assumes the other calls stay within their billing minimums and excludes history or other extra operations. A prepaid top-up is separate from consumed credits.
See pricingCompare measurements, not just scores
Mention coverage divides successful samples mentioning a brand by all successful samples. Tracked-brand mention share instead divides that brand’s mention samples by the sum of mention samples for every tracked brand. Brands can overlap, so these denominators differ. Count citations separately. Valid no-answer samples remain in coverage; failed or unknown collections do not. For a trend, compare paired successful cells from the same panel and settings. Neither metric measures visits or conversions.
What to check in a trial or demo
Separate external market research from internal website operations. If your workflow starts from crawl IDs, log files, or indexation jobs, inspect those Botify API requirements before switching. If it starts with search queries and competitor domains, a standalone GEO/SEO data API is a closer fit.
Plan for the differences
The included runner can repeat your own prompt panel, but UnifAPI does not host its schedule or a project dashboard. Monthly indexed history is available; it is not a replay of your earlier custom prompts. First-party bot logs, sentiment or recommendation-rank scoring, Perplexity/Claude live prompts, and automatic website changes are not included.
UnifAPI is not a replacement for Botify crawl projects, server-log analysis, indexation automation, or content deployment. Those require separate infrastructure or the full platform.
Which one should you choose?
Choose Botify when your team needs to understand and operate a large website through crawl, analytics, and optimization workflows. Choose UnifAPI for external GEO/SEO research, custom reports, or API features in your own product. For an existing Botify customer, moving only ad hoc external research may be the more practical decision.
Questions before you switch
Is UnifAPI always cheaper?
No universal saving is promised. Compare your expected calls and billable records with the subscription or quote you would otherwise buy, including the work needed to build reporting.
Can it replace the entire Botify platform?
It can supply public-data building blocks for your own research workflow. Managed dashboards, proprietary metrics, model coverage, and enterprise services differ; choose the full platform if those are your main requirements.
Can I monitor the same prompts over time?
Yes. The included runner samples ChatGPT and Gemini, saves dated local evidence, and compares the same successful cells across runs. Configure your own scheduler for recurring collection. Keep this prompt-panel history separate from the monthly indexed corpus returned by the history, delta and new/lost APIs.
How this comparison was prepared
Prepared by UnifAPI from the linked official product and pricing pages and our published API contract. We did not test paid competitor accounts or benchmark data accuracy. Product facts, our fit assessment, and illustrative cost calculations serve different purposes; the example request is not a live result.
Official sources
- https://www.botify.com/
- https://developers.botify.com/docs/welcome-to-botifys-api-documentation
- https://developers.botify.com/docs/collections
- https://developers.botify.com/docs/bql-introduction
Reviewed 2026-09-05. Plans and API terms can change; confirm current access with the vendor. This is an independent comparison, with no affiliation or endorsement.
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