Paste your email content below to see how AI systems such as Gemini may extract key entities, generate a summary, and determine what stands out first.
Our audit uses the Gemini Flash API to model how a generative AI system may interpret your content — delivering a machine-eye view you can optimise against.
Optimise for the AI. Polish for the human reader.
Analyse Summarisation: See if your value proposition survives the “First Reader” summary.
Identify Fluff Traps: Pinpoint where the AI loses interest.
Get Your GAL Score™: A 0–100 benchmark of AI-readability and attention priority.
We continuously refine our framework in response to industry developments.
Add email details for better scoring Optional
These help the analyser assess subject/body alignment, sender credibility, and preview density. All fields are optional.
Optional — helps calibrate scoring. If unset, the tool auto-detects based on content signals.
Paste a complete email — including greeting, body, footer, and signature or unsubscribe link. HTML source works best.
0 characters
Check SPF, DKIM, and DMARC records for any domain. These authentication checks are a key factor in whether your emails reach the inbox — without them, messages may be rejected or sent to spam before any AI features can process them.
If you know your selector (e.g. default, s1, google), add it for a more precise DKIM check. Separate multiple selectors with commas.
Authentication Results
This report is generated by the GAL Score™ plugin by Emailexpert and reflects algorithmic analysis at the time of testing. Scores are indicative, not definitive. Email deliverability depends on many factors beyond the scope of this tool, including sender reputation, authentication (SPF/DKIM/DMARC), recipient engagement history, and mailbox provider policies. This analysis does not constitute professional deliverability consulting. Results should be used as directional guidance alongside established email best practices and your own testing. This tool is not affiliated with, endorsed by, or sponsored by Alphabet Inc., Google LLC, Gmail, or any of their subsidiaries. Google, Gmail, Gemini, and related marks are trademarks of Google LLC. All other trademarks are the property of their respective owners. Terminology such as "Trust Score", "Vector Mapping", and "Agentic Bundling" refers to Emailexpert's own conceptual models, not to named systems operated by Google or any other provider.
This tool is developed by Emailexpert and is not affiliated with, endorsed by, or sponsored by Alphabet Inc., Google LLC, Gmail, or any of their subsidiaries. Google, Gmail, Gemini, and related marks are trademarks of Google LLC. All other trademarks are the property of their respective owners. Analysis results are based on Emailexpert's independent methodology and do not represent the behaviour of any specific mailbox provider's systems. Emailexpert terminology (e.g. "Trust Score", "Vector Mapping", "Agentic Bundling") refers to Emailexpert's own conceptual models, not to named systems operated by Google or any other provider.
Gemini Flash Logic
Note: This mockup is powered by the Gemini Flash API and is designed to model how a modern generative AI system may extract key entities, structure summaries, and interpret message priority.
Results are indicative rather than definitive. Actual inbox experiences can vary based on recipient behaviour, engagement history, authentication signals, and mailbox provider systems.
GAL Score™ provides a structured, machine-eye perspective on your content — helping you optimise for AI-assisted inbox environments while keeping your message clear for human readers.
How to Use the GAL Score™
Optimise for the AI, Polish for the Human. The Generative Attention Layer: Emailexpert’s framework for how generative AI tends to extract entities and prioritise content.
1
Understanding Your Visibility Score
85–100Optimal: Structured perfectly. High salience in AI summaries, highly extractable and summary-forward.
60–84Average: Fluff detected. Important items may be hidden in summary.
Below 60Potential Risk: May be treated as low-priority marketing content and de-emphasised in AI summaries.
2
Interpreting the AI Auditor
“I hope this finds you well!” Sarah, Your $50 Account Credit expires on Friday.
The “First 200” Heatmap:Red is ignored filler text. Green indicates extracted entities AI summarisation models tend to prioritise.
✅ Trust Signals: Includes RFC 8058 One-Click metadata.
Visualising an AI Summary Card mockup
As AI-assisted summaries become more common, users may interact with your brand via an AI Summary Card. If your email follows the “After” structure, an AI summary system may generate something like:
“BrandCo is offering a 20% discount (SPRING20) on their new organic cotton Spring Collection until Friday, Feb 20th.”