If your pages read like they could have been written by any competitor—or by a generic AI draft—they are likely too commodity for generative AI search. Rewrite first the high-demand pages where you can add original proof, process detail, or a decision framework that a summary of common knowledge cannot match. Publishing more interchangeable guides rarely fixes the problem.
This article helps marketing and operations leaders decide which existing pages deserve a non-commodity rewrite before they spend more on AI-search visibility work. You will leave with a filter, a scoring model, a worked example, and clear next steps you can run internally.
Key takeaways
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Google’s own guidance for generative AI features on Search emphasizes unique, non-commodity, people-first content over AI-specific rewrites or special markup.
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Commodity content restates common knowledge. Non-commodity content adds experience, evidence, tradeoffs, or a point of view that is hard to copy.
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Do not rewrite every thin page at once. Score demand, commercial proximity, uniqueness gap, and proof availability, then rebuild a short priority list.
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Eligibility for AI Overviews and AI Mode still depends on foundational Search requirements such as indexing and snippet eligibility. Content quality does not replace those basics.
What “commodity content” means in AI search
In Google’s guide to optimizing for generative AI features on Search, commodity content is framed as material based on common knowledge that could originate from almost anyone and adds little unique insight. Google contrasts that with non-commodity examples that bring expert or firsthand takes beyond ordinary advice.
That distinction matters because generative AI features on Google Search are grounded in core Search ranking and retrieval systems. Google describes retrieval-augmented generation as pulling relevant pages from the Search index and using them to support responses with clickable links. When many pages say the same thing in interchangeable language, your page is less likely to be the distinctive source a system has reason to surface.
Google also notes that terms like GEO or AEO describe work aimed at AI search visibility, but from Google Search’s perspective the work is still optimizing for Search. The practical implication for buyers is simple: treat unique helpful content as the durable lever, not a separate stack of AI-only hacks.
The Commodity Content Filter
Before you rewrite anything, run each candidate page through four yes-or-no tests. A page that fails two or more is commodity enough to reconsider.
|
Test |
Ask |
Commodity signal |
|
Interchangeable source |
Could a rival publish this unchanged with only the brand name swapped? |
Yes |
|
Common-knowledge only |
Does the page mostly restate what any competent practitioner already knows? |
Yes |
|
No firsthand residue |
Is there no process, measurement method, failure pattern, or anonymized observation unique to your work? |
Yes |
|
Search-engine-first motive |
Was the page mainly created to capture traffic rather than help a real buyer decide something? |
Yes |
These tests align with Google’s people-first content guidance, which asks whether content provides original information, insightful analysis beyond the obvious, and substantial value compared with other results. They also echo Google’s warning against mainly summarizing what others say without adding much value.
Rewrite Priority Scorecard
Once a page fails the Commodity Content Filter, do not automatically rebuild it. Score it from 0 to 12 using four factors. Rebuild pages that score 8 or higher first.
|
Factor |
0 |
1–2 |
3 |
|
Demand reality |
No meaningful impressions, inquiries, or sales conversations around the topic |
Some Search Console interest or recurring sales questions |
Clear demand from Search, sales calls, or AI-assisted research questions |
|
Commercial proximity |
Educational only; no path to an offer |
Supports early research connected to a service |
Directly shapes shortlist or purchase decisions |
|
Uniqueness gap |
Already distinctive enough |
Partly generic; one or two unique sections possible |
Nearly identical to competitors’ pages |
|
Proof availability |
No usable evidence, process, or operator insight |
Some internal notes or examples that can be anonymized |
Ready checklist, method, data shape, or decision model you can publish |
Interpretation:
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8–12: Rewrite now. Treat this as a source-page project, not a light copy polish.
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5–7: Queue after technical eligibility and stronger commercial pages are solid.
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0–4: Keep, merge, or unpublish. Do not burn specialist time rewriting low-demand commodity pages.
What a non-commodity rewrite actually changes
Google advises against rewriting content just for AI systems. The goal is not a special AI voice. The goal is content that visitors find unique, satisfying, and useful—especially for longer, more specific questions that show up in AI search experiences.
In practice, a strong rewrite usually changes five things:
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The central promise. Move from “what is X” to a decision, method, comparison, or failure diagnosis the buyer actually needs.
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The unique residue. Add a framework, scorecard, measurement method, process steps, or anonymized observation that could not come from a generic summary.
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The evidence layer. Cite primary sources, show how you evaluate claims, and separate verified facts from opinion.
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The organization. Use clear sections and headings so people—and retrieval systems grounded in indexed pages—can find the relevant part of the answer.
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The next action. Tell the reader what to do after reading, including when the advice does not apply.
Google also reminds publishers that important content should be available as text, that pages should remain crawlable and indexable with snippet eligibility, and that structured data is not a special requirement for generative AI features—though accurate structured data can still support rich results elsewhere in Search.
Worked example: a B2B service blog cleanup
Consider a hypothetical regional facilities company with 40 blog posts. Ten are broad introductions such as “What Is Preventive Maintenance?” Twenty are lightly rewritten vendor summaries. Ten cover real operating questions such as “When to replace rooftop units versus repair them.”
Using the Commodity Content Filter, most introductory posts fail three or four tests. The Rewrite Priority Scorecard then separates them:
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“What Is Preventive Maintenance?” scores low on commercial proximity and proof availability. Better action: merge useful definitions into a stronger decision page, then redirect.
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“How Often Should Commercial HVAC Filters Be Changed?” shows recurring Search Console queries and sales-call questions. Score high on demand and uniqueness gap. Rewrite with a climate-zone and use-pattern matrix, inspection criteria, and a clear “replace sooner if…” exception list.
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“Repair vs Replace a Rooftop Unit” already has some operator insight but weak structure. Score high on commercial proximity. Rewrite into a decision matrix with cost-shape ranges labeled as estimates, failure modes, and downtime tradeoffs.
The company does not need forty new “AI-optimized” posts. It needs three or four source pages that a buyer—or an AI system retrieving supporting links—can trust because the pages contain something distinctive.
Common failure patterns
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Cosmetic AI rewriting. Changing synonyms while leaving the same common-knowledge outline does not create non-commodity content. Google explicitly says you do not need to write in a special way just for generative AI search.
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Volume as a substitute for uniqueness. Creating separate pages for every query variation primarily to manipulate rankings or generative responses can violate Google’s scaled content abuse policy and is a weak long-term strategy.
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Skipping eligibility basics. A brilliant rewrite still needs to be indexed and snippet-eligible. Google states there are no additional technical requirements beyond Search foundations for appearing as a supporting link in AI Overviews or AI Mode.
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Judging only by click volume. Google has reported that clicks from results pages with AI Overviews can be higher quality, with users more likely to spend more time on site. Evaluate engagement and conversion indicators, not click count alone.
When this advice does not apply
If your site is not reliably crawlable or indexable, fix that first. If your strongest commercial pages already contain unique methods and evidence, your bottleneck may be page selection, measurement, or surface prioritization rather than commodity rewrites. If a page has no demand and no commercial path, retiring it can be better than polishing it.
Also remember that generative AI inclusion on Google Search depends on being included in Search generative AI features in Search Console. Content quality work does not override that site-level control.
Recommended next steps
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Export your top 30 content URLs by impressions, assisted inquiries, or sales-question frequency.
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Run each through the Commodity Content Filter.
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Score failing pages with the Rewrite Priority Scorecard and select no more than five to rebuild this cycle.
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For each rebuild, define the unique residue before drafting: method, matrix, measurement, or firsthand limitation.
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Confirm indexing, snippet eligibility, and generative AI inclusion settings, then monitor with Search Console’s generative AI reporting rather than vanity AI-rank claims.
If you already know which commercial topics matter but cannot tell which pages are interchangeable summaries versus citation-worthy sources, Oasbit’s generative engine optimization services focus on turning that inventory into distinctive, retrievable assets. Related decision guides include which pages to optimize first for AI search and which GEO tactics to prioritize versus ignore.
When you want help turning a commodity content backlog into a short rewrite plan tied to real buyer questions, book a growth strategy session.
