A measured baseline
A documented starting point within the agreed brand, market and language scope.
Measure, understand and improve how your brand is represented, recommended and cited across AI-driven discovery. Turn evidence into a clear plan for what comes next.
“Which providers should I consider for my business?”
Find out whether your brand enters the shortlist, which competitors appear, and which sources are cited.
Start with a defined set of customer questions and a measured visibility baseline.
“How does this brand compare with the alternatives?”
See how AI systems describe your strengths, position competitors, and support their comparisons.
Prioritize content and source gaps tied to the comparisons that matter to buyers.
“Is this company credible and right for me?”
Review the accuracy of brand facts, recurring trust concerns, and the public sources behind visible answers.
Create a prioritized correction plan, then verify the changes and monitor relevant answers.
Agree the markets, questions and competitors that matter. Capture evidence.
Connect visibility, citations and competitive patterns to useful actions.
Support approved changes and check their implementation.
Repeat measurements and use the evidence to guide the next cycle.
A report should make the next decision clearer. This sample shows the type of findings and recommendations you can expect.
Illustrative iGaming report · Ontario, Canada · English · online casino discovery. All brands, answers and findings are fictional, not measured client results.
Sample finding: The fictional answer names Casino B but omits Casino A; its cited comparison explains game availability more clearly.
Recommended action: Check Casino A’s live-casino page against verified eligibility and game details, then prepare a scoped page revision. Recheck the same question after publication.
Sample finding: A fictional third-party review gives a processing time that conflicts with the operator’s payment page.
Recommended action: Verify processing times, payment-method limits and conditions with the operator. Correct owned content and request a source correction where possible; verify later answers.
Sample finding: The fictional comparison does not distinguish game availability or eligibility conditions.
Recommended action: Create an implementation-ready brief using verified product facts. Record the owner, evidence source and verification question; do not invent advantages.
The question and test context, captured answer, visible sources where available, analyst interpretation, action owner, and a verification step. Observation and interpretation are kept distinct.
A documented starting point within the agreed brand, market and language scope.
Captured questions, answers and test context, with visible source links where available.
Patterns in how brands are described, compared and supported by public information.
A practical action list connecting the finding to a next step and an agreed owner.
Monthly reporting and a strategy call to review the evidence and choose priorities.
Support for approved changes where included in your package and agreed responsibilities.
One agreed buyer question or supporting variation tested in a defined market and language context. The same question in another market or language uses another slot; repeat checks do not count as new prompts. A tracked prompt is not a promised mention or recommendation.
The country or market and language in which a question is tested. Core and Growth cover one market in one language. Multi-market covers three markets, with one agreed language per market.
Evidence informs a prioritized plan. A recommendation does not mean the work has already been implemented.
Your team or ENTEIL carries out approved actions within the agreed scope. Package support is an allowance, not unlimited delivery.
We check that the agreed changes were made and review relevant answers under documented conditions.
AI answers vary between runs, contexts and systems. ENTEIL measures observable behavior; it cannot guarantee recommendations, citations, rankings or commercial outcomes.
One consistent methodology. Different levels of coverage, analysis and implementation support.
ENTEIL provides direction; your team handles most implementation.
ENTEIL leads agreed improvements and coordinates implementation.
ENTEIL coordinates market-specific priorities and implementation.
20 priority buyer questions + 40 supporting questions and variations.
50 priority buyer questions + 100 supporting questions and variations.
100 priority buyer questions + 200 supporting questions and variations.
A measured baseline, findings with supporting evidence, competitor and source analysis, a prioritized action plan, and recurring reporting within your agreed scope.
No. AI systems are independent and their answers vary. We measure observable behavior, improve the information around your brand, and verify progress under documented conditions.
They solve different problems. Intelligence focuses on how your brand is represented in AI-driven discovery. Automations focuses on how work moves through your business.
Responsibility is agreed before delivery. Your team can implement the plan, or ENTEIL can support approved changes within the contracted allowance. Custom development, PR and content production require explicit scope.
Tell us where you want to go, or what’s slowing you down. We’ll help define the right scope and a practical next step.