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Your AEO score measures whether AI search engines (ChatGPT, Claude, Perplexity, Gemini) can actually read your site and cite it in answers. Two-thirds of websites are invisible to them. Invofox just got measured.
8/10 means Invofox is well-positioned for AI search. The full breakdown below shows where you are still leaving points on the table.
Turn invoices, payslips, contracts and any document into structured JSON via one API. 99%+ accuracy with continuous learning. SOC 2, GDPR, ISO 27001.
8
Structured Data
9
Content Structure
8
Entity Clarity
4
E-E-A-T Signals
8
Technical AEO
10
AI Discoverability
How accurate is Invofox?
Accuracy thresholds are guaranteed in your SLA, per document type and per field. Every extraction is validated before it counts toward your bill. The feedback loop means accuracy improves over time as your team flags edge cases. Stable use cases reach up to 99%.
What happens when an extraction is wrong?
A bad extraction is rarely a one-off — it usually points to an edge case we'll see again. Corrections pushed through our feedback endpoint flow back into your pipeline configuration, so the same mistake doesn't reach you twice. Accuracy on your specific document mix improves over time without you running ML ops. See how continuous learning works .
How do you guarantee accuracy on my specific documents?
You hand us a target schema and sample documents; we run them through our experimentation pipeline that benchmarks extraction, iterates on the pipeline configuration, and reports per-field accuracy before anything goes to production. We do this automatically on a daily basis. See the experimentation flow .
Which document types do you support?
Out of the box: invoices, receipts and tickets, delivery notes, purchase orders, payslips, bank statements, utility bills, ID documents, contracts, tax forms, and US mortgage documents (closing disclosures, loan estimates, URLAs). Custom schemas are available for any other document type. Send us a target schema and a representative sample, we configure the pipeline.
How long does integration take?
The core integration is one afternoon. The API is REST, webhook or polling, no SDK required. Most teams ship to production within a week, including their own testing. Configuration of new document types runs in parallel with your integration work.
How does pricing work?
You pay per page, not per credit or token. Volume tiers apply for steady throughput. Enterprise contracts above 1M docs per year can be priced per document, per application, or per business concept depending on the use case. Documents you flag as incorrect are credited back automatically.
Do you have a free tier?
Yes. New accounts get a fixed allotment of free documents to evaluate the API before committing to a plan. No card required, no recurring free quota. Just enough to validate accuracy on your real documents.
Can I add custom document types?
Yes. Send us a target schema and a representative dataset. We configure the pipeline, run evaluations, and deliver a dedicated extractor with the same accuracy SLA as our standard document types. Setup typically takes days, not weeks.
Is this your brand?
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Your full 6-category score breakdown
Exact fixes: robots.txt, schema, llms.txt
AI bot crawls from ChatGPT, Claude, Perplexity, Gemini
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Food is the most intimate purchase a person makes. You're deciding what goes into your body, what you feed your family, what aligns with your values. That decision deserves more than a label and a hope.
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Scored by Engagemii on June 14, 2026. Methodology: engagemii.com/aeo/methodology
Source URL: https://engagemii.com/aeo/brands/invofox
Cite this score: Engagemii (2026). "AEO Score for Invofox." Retrieved from https://engagemii.com/aeo/brands/invofox
Licensed under CC BY 4.0. You may reuse this data with attribution: a visible link to engagemii.com.
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