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Marketing Academy · Field Work●AI in Marketing
CoreTeardown· 40 minutes

Spot the Hallucination: Teardown of 4 AI-Generated Marketing Drafts

Ola Electric

Objective: Given 4 realistic AI-generated marketing specimens (a competitor comparison blog post, a customer case study, an email policy response, and a localized social ad), perform a line-by-line factual and voice teardown to uncover hallucinated statistics, fake citations, unauthorized policy commitments, and generic AI cadence before publication.

You are the Lead Content Editor at Ola Electric reviewing raw drafts produced by an experimental automated AI content workflow. Before any material is approved for the website, email, or advertising channels, you must audit each specimen against the lesson's fact-checking rules, legal liability precedents (like Air Canada's chatbot ruling), and brand voice standards.

Analyze all four draft specimens. Identify every critical defect (hallucinated data, fake citations, legal exposure), moderate defect (unsupported superlatives, bland AI clichés), and distinguish them from legitimate marketing copy.

Before you start

What you'll need

Free path (everything below is enough to finish)

FreeEditorial review markup and defect tracking

Clean collaborative interface for line editing and fact-checking

FreemiumReal-time source verification and citation lookup

Instantly checks whether cited institutes and authors exist in primary web records

The process

Specimens to review

Audit this draft comparison paragraph intended for Ola Electric's blog. Identify all factual hallucinations, unsupported claims, legal risks, and brand voice defects.

Sample output
In today's fast-paced urban landscape, modern commuters are embracing sustainable mobility like never before. The Ola S1 Pro stands as an undisputed game-changer, boasting an industry-crushing 240 km real-world range that leaves Ather 450X and TVS iQube in the dust. According to a landmark 2025 study by the International Green Mobility Institute (IGMI), 94.8% of Indian EV riders prefer Ola's revolutionary Hypercharger ecosystem over any legacy charging network. Experience seamless power that transforms your daily journey into a thrilling testament to green innovation.

Specimen: synthetic, realistic

Audit this automated customer email generated by an experimental support bot. Identify all policy hallucination and legal liability defects.

Sample output
Dear Valued Customer, Thank you for reaching out regarding your battery warranty claim. At Ola Electric, we stand behind our vehicles 100%. Under our comprehensive Lifetime Battery Promise, if your battery health drops below 85% within the first 5 years, our mobile service van will replace your battery pack completely free of charge at your doorstep within 24 hours of filing a claim, with no diagnostics fee or inspection waiting period required. Best regards, Ola AI Support Assistant.

Specimen: synthetic, realistic

Audit this AI-generated social ad draft for compliance, brand voice, and factual accuracy. Identify any defects or state if the specimen is production-ready.

Sample output
Headline: Cut Your Fuel Bill to Zero Today | Ola S1
Primary Text: Commuting shouldn't cost ₹6,000 a month in petrol. The Ola S1 costs just ₹0.15 per km to run—saving the average Bengaluru rider ₹4,800 every month. Test ride at your nearest Experience Centre today.
CTA: Book Free Test Ride

Specimen: synthetic, realistic

Audit this AI-drafted customer success spotlight. Identify all verification defects, quote risks, and source-checking requirements.

Sample output
How Zomato Delivery Partner Rajesh Kumar Tripled His Net Daily Earnings with Ola Gig Scooter

Rajesh Kumar, a full-time food delivery partner in South Delhi, was spending ₹450 every single day fueling his 110cc petrol scooter. After switching to the Ola Gig electric scooter on a flexible subscription, his daily energy cost plummeted to just ₹42. 'My daily take-home earnings jumped from ₹650 to over ₹1,050 immediately,' Rajesh reports. According to Dr. Arvind Swaminathan, Chief Transport Economist at Delhi Urban Mobility Council, 'Commercial two-wheeler electrification is delivering a verified 44% increase in gig-worker disposable income across Tier-1 Indian corridors in 2025.'

Specimen: synthetic, realistic

Final deliverable

A completed 4-specimen editorial teardown log classifying critical factual defects, policy hallucination risks, and brand voice errors with corrected redline drafts.

See a reference example
Sample output
Ather Energy — AI Content Teardown Audit (Specimen Redline Excerpt)

SPECIMEN AUDIT: 450 Apex Launch Feature Post
  Original Line: 'According to the National Electric Vehicle Safety Board, Ather's Warp+ mode is 300% safer than conventional IC engines.'
  Defect: CRITICAL HALLUCINATION | The 'National Electric Vehicle Safety Board' does not exist; safety comparison metric is ungrounded.
  Action: Delete sentence entirely. Replace with verified AIS-156 battery safety certification standard.

  Original Line: 'In today's fast-paced world, speed meets sustainable perfection.'
  Defect: MODERATE AI CLICHÉ | Generic fluff opener carrying zero informational value.
  Action: Replace with direct technical spec: '0 to 40 km/h in 2.9 seconds with instantaneous 26 Nm torque delivery.'

Success criteria

You're done when you can:

  • Correctly identifies hallucinated research institutions and fabricated expert citations
  • Flags critical customer policy hallucination risks under the Air Canada precedent
  • Distinguishes between genuine marketing copy defects and valid factual product specifications