The Structure Test: Auditing an Ola Electric Comparison Page for AI Mode Citations
Objective: Given a real page that fails to get cited in Google AI Mode, identify the missing structural element (a comparison table) and rebuild the section using the lesson's formatting rules.
You're on Ola Electric's content team. AI Mode never cites the company's 'S1 Pro vs S1 Air' comparison page, even though a review site's near-identical, lower-authority comparison gets cited on the same query.
Diagnose why the review site's page wins the citation, then rebuild Ola Electric's comparison section to match the structure AI Mode actually pulls from.
Why does a lower-authority competitor page get cited in AI Mode over a higher-authority page covering the same comparison?
Before you start
What you'll need
- —Basic spreadsheet skills to draft a comparison table
- —Access to the product's real spec data
- AI Mode
- Google's conversational search experience that generates a synthesized answer and cites specific sources, distinct from traditional ranked search results.
- Structured formatting
- presenting information as a table, numbered list, or other clearly labeled format rather than as flowing prose, making it easier for AI systems to extract verbatim.
Free path (everything below is enough to finish)
Free, and the table structure translates directly into an HTML table
The process
1 step
Step 01 of 01
The lesson notes AI Mode frequently pulls tables verbatim, and a clean comparison table is more citable than paragraphs describing the same differences.
Ola Electric's page describes the S1 Pro and S1 Air differences in three separate paragraphs of prose. The cited review site presents the same comparison as a 5-row table. Which format does AI Mode extract, and what should Ola Electric's page do about it?
Procedure
- Open Ola Electric's live comparison page and confirm the spec differences are written as prose, not a table
- Open the cited review site's page and copy the exact rows and columns of its comparison table
- Draft a matching table in Google Sheets using Ola Electric's own spec data (range, top speed, price, battery, warranty)
- Flag the table for the CMS team to replace the three prose paragraphs
PROPOSED TABLE | | S1 Pro | S1 Air | |--------------|--------------|--------------| | Range | 195 km | 151 km | | Top speed | 116 km/h | 90 km/h | | Battery | 4 kWh | 3 kWh | | Price | Rs 1.4L | Rs 1.1L | | Warranty | 3 years | 3 years |
Healthy
The same 5 comparison points render as a table with clear row and column labels, ready to be pulled verbatim.
Unhealthy
The same 5 comparison points are scattered across three paragraphs, each mixing multiple specs into one sentence.
What this means
AI Mode's retrieval favors formats it can lift without re-parsing sentence structure, a table is the lowest-effort extraction for the model.
So what do I do about it?
| Symptom | Action | Effort |
|---|---|---|
| A lower-authority review site outranks your own comparison page inside AI Mode despite worse domain authority | Convert the prose comparison into a table with the same row/column structure the competitor uses | 30 min |
Analyze your findings
What to look for
- Format used
- Is the comparison presented as a table, or as paragraphs of prose covering the same specs?
- Row/column clarity
- Does the cited competitor's table have clear labels AI Mode can lift without re-parsing sentences?
- Authority vs. format
- Does the citation gap track with domain authority, or with which page uses the more extractable format?
- Data completeness
- Does your own page have the same underlying spec data as the competitor's table, just presented differently?
Make the call
Ola Electric's page has higher domain authority than the cited review site, but loses the AI Mode citation on the same comparison query. What does this indicate?
Recommendation · Priority: Medium
“Replace the three prose paragraphs with a table using the same row/column structure as the cited competitor (range, top speed, battery, price, warranty), using Ola Electric's own accurate spec data. This is a low-effort CMS change with no dependency on backlinks or domain authority work.”
Common mistakes
What trips people up
Assuming higher domain authority should guarantee the citation — the diagnostic specifically shows a lower-authority page winning on format alone; authority doesn't override extractability for this signal.
Rewriting the prose to be shorter instead of converting it to a table — the defect is the format itself, not the prose length; shorter prose is still prose.
Inventing spec numbers instead of using the page's own real data — the fix is a format change only, the underlying data should stay accurate to the actual product specs.
Copying the competitor's exact numbers instead of your own product's numbers — match their row/column structure, not their data, using your own real specs.
Final deliverable
A drafted comparison table matching the cited competitor's row/column structure, using your own product's real spec data.
See a reference example
YETI, 'Tundra 45 vs Tundra 65' page: converting 4 prose paragraphs into a 6-row table (capacity, ice retention, weight, price, dimensions, warranty) restored table-format parity with the cited competitor page on the same query.
Success criteria
You're done when you can:
- Correctly identifies the table-vs-prose gap as the citation blocker
- Produces a table using the page's own real spec data with clear row and column labels
Key takeaway
AI Mode's citation choice can hinge entirely on format, not authority: the same information presented as a table is dramatically easier to extract verbatim than the identical information spread across paragraphs. Matching a competitor's row/column structure with your own accurate data is often a faster fix than any authority-building work.