Client Success Story

Case Study: SEO + GEO for a Specialty Chemicals Manufacturer

How Corporate SEO and Generative Engine Optimization delivered measurable growth in Google search and AI visibility—in a single quarter. See how Opal Infotech helped a global specialty chemicals and surfactant manufacturer capture high-value export buyers. By blending advanced technical SEO with Generative Engine Optimization ( GEO ) and Answer Engine Optimization (AEO), we turned organic search and AI platforms into their #1 source for global trade leads.

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Avg. position
21.5 → 9.9
Organic sessions
+37.49%
Impressions/day
+95.9%
AI assistant sessions
0 → 185
Client industry
Specialty Chemicals Manufacturing
Pharmaceutical excipients & personal care ingredients
Service engaged
SEO Corporate + GEO Plan
SEO · GEO · AEO
Engagement start
25 February 2026
Reported through 07 Sep 2026

Key Takeaways

  1. Faster organic growth quarter over quarter. Organic Search sessions rose 37.49 percent, from 3,078 sessions (Mar–May 2026) to 4,232 sessions (Jun–Aug 2026).
  2. Average Rankings jumped from page three to page one. Average Google position improved from 21.5 to 9.9 after the SEO Corporate + GEO Plan began.
  3. Search Console clicks and impressions surged. Average daily clicks were up almost 54 percent; average daily impressions nearly doubled, up 95.9 percent.
  4. A brand new AI Assistant channel appeared. GA4 recorded zero AI Assistant sessions before the campaign and 185 in the very next quarter — a channel that did not exist before GEO.
  5. AI Overview visibility nearly quadrupled. Impressions inside Google AI Overviews grew from 3,291 in May 2026 to 11,787 in August 2026.
  6. Real sessions from AI platforms. ChatGPT, Claude.ai, Google Gemini, and Perplexity.ai sent 380 sessions between March and August 2026, led by ChatGPT at a 77 percent share.
  7. Deep, technical keywords now rank on page one. Terms such as HPMC manufacturers in India and hydroxypropyl methylcellulose manufacturers in India moved into strong page one positions.
  8. Organic Search is now the leading channel. It contributes 57.44 percent of all website sessions since the plan began.

Setting the Stage: The Mission to Dominate Search and AI Discovery

Specialty chemicals manufacturing is one of the most research-intensive B2B categories online. Buyers such as formulation chemists, procurement managers, and quality assurance teams rarely purchase an ingredient on impulse. They search for exact chemical names, grades, CAS numbers, and industrial applications, compare manufacturers, read technical datasheets and, increasingly, ask AI assistants like ChatGPT and Google Gemini to shortlist reliable suppliers before ever visiting a website.

Opal Infotech partnered with a specialty chemicals manufacturer producing pharmaceutical excipients and personal care ingredients — cellulose ethers, polyethylene glycol grades, emulsifiers and surfactants — under an SEO Corporate + GEO Plan that began on 25 February 2026. The objective was twofold: strengthen traditional Google rankings for high-intent, category-level search terms, and build genuine visibility inside the emerging AI search layer covering ChatGPT, Claude.ai, Google Gemini, Perplexity.ai, and Google AI Overviews.

This case study walks through the challenges the manufacturer faced, the SEO, GEO, and AEO strategy Opal Infotech implemented, and the measurable outcomes recorded in Google Search Console and Google Analytics 4 in the months following launch.

Client Overview

The client is referred to throughout this case study as the Specialty Chemicals Manufacturer to respect client confidentiality.

IndustrySpecialty chemicals manufacturing, serving pharmaceutical, nutraceutical, personal care and cosmetic formulation industries.
Core product rangeHydroxypropyl Methylcellulose (HPMC), Hydroxypropyl Cellulose, PEG 200 through PEG 20000, Sodium Lauroyl Sarcosinate, Glyceryl Stearate and PEG 100 Stearate emulsion systems, Ceteareth emulsifiers, Polysorbate 20/40/60/80/85, PEG Hydrogenated Castor Oil, silicone oil emulsifiers, fatty alcohol ethoxylates and paraffin wax emulsifiers.
MarketDomestic Indian buyers as well as international pharmaceutical excipient and personal care ingredient importers.

The Challenges: Overcoming Low Visibility and Complex Product Searches

Visibility limited to branded search

Most organic traffic came from people already searching the company by name. Category terms like HPMC manufacturers in India were not on page one.

Rankings stuck on pages two and three

Average Google position across tracked keywords was 21.5 — well below the range that earns meaningful click-through.

No presence in AI-powered search

ChatGPT, Gemini, Claude.ai, Perplexity.ai, and AI Overviews were not citing the manufacturer at all — a widening gap as procurement research shifts to conversational tools.

Highly technical search intent

Buyers search exact chemical names, grade numbers, and application terms. Generic marketing content does not satisfy that intent.

A crowded export category

Several established Indian manufacturers target the same excipient and personal care ingredient buyers, making search and AI differentiation essential.

Strategy: The Solution Implemented

Opal Infotech designed a three-layer strategy combining a strong SEO foundation, Generative Engine Optimization for AI platforms, and Answer Engine Optimization for structured, citable content.

1

Corporate SEO Foundation

  • Complete technical audit covering indexation, site speed, mobile usability, structured data and internal linking.
  • On-page optimization of product and category pages for cellulose ether, polyethylene glycol and emulsifier ranges — titles, meta descriptions and header structure.
  • Keyword mapping across more than a thousand monthly queries covering ingredient names, chemical grades, CAS references and supplier intent phrases.
2

Ingredient-Led Content Strategy

  • Dedicated technical guides per chemical grade — pharmaceutical grade PEG guidelines, HPMC grades and viscosity ranges, sodium lauroyl sarcosinate in clean beauty, glyceryl stearate and PEG 100 stearate emulsions, polysorbate applications, PEG hydrogenated castor oil grades, ceteareth emulsifier selection.
  • Each guide built as its own landing page so it ranks independently for its own technical terms instead of competing with the homepage.
3

Answer Engine Optimization (AEO)

  • Content restructured into clear question and answer formats around real buyer questions — which PEG grade suits ointment formulation, what HPMC viscosity is used in film coating.
  • FAQ style sections and definition-led paragraphs written so both Google and AI engines can extract a direct, accurate answer.
4

Generative Engine Optimization (GEO)

  • Schema markup and structured product data so AI crawlers correctly parse ingredient names, grades, and applications.
  • Content written in a natural, conversational tone suited to how ChatGPT, Gemini, Claude and Perplexity summarise and cite sources.
  • Ongoing monitoring of which pages surface in AI Overviews and AI platform citations, with continuous refinement from that feedback.

AI Platform Rankings and AI Visibility

A core goal of the GEO plan was to earn genuine visibility inside AI-powered search experiences, not just traditional Google results. Within months of launch, the manufacturer’s technical content began appearing inside Google AI Overviews and being cited directly by conversational AI platforms.

3,291
May 2026
11,787
Aug 2026

3.6×

Growth in Google AI Overview impressions across four months. The pages surfaced most often were the ingredient-specific technical guides built as part of the content strategy.

Figure 1: Growth in AI Overview impressions, Google Search Console (May to August 2026)

Beyond AI Overviews, the website also began receiving direct referral sessions from AI chat platforms. Between March and August 2026, AI platforms sent a combined 380 sessions to the website.

ChatGPT
293 · 77.1%
Claude.ai
51 · 13.4%
Google Gemini
18 · 4.7%
Perplexity.ai
17 · 4.5%
Figure 2: Sessions to the website by AI platform, March to August 2026

ChatGPT is clearly the leading AI referral source, both in volume and in engagement quality, with the lowest bounce rate among the four platforms. Search Console data also confirms this visibility is not limited to India: AI Overview impressions were recorded from more than 20 countries, led by India, followed by the United States, the United Kingdom, Germany, Indonesia, Pakistan, Canada, Australia, and Russia — an early signal that international buyers are already discovering the manufacturer through AI-assisted search.

Desktop devices accounted for roughly 74 percent of AI Overview impressions against 26 percent on mobile, consistent with a technical, B2B procurement audience researching from office workstations.

The Results: Measurable Growth Across Search and AI Platforms

Consistent growth in organic search traffic

As instructed by the client, all outcome measurement focuses specifically on the Organic Search channel, since that is the channel directly influenced by the SEO Corporate + GEO Plan.

Mar–May 2026Jun–Aug 2026
3,078
4,232
Sessions +37.5%
1,896
2,877
Total users +51.7%
1,856
2,715
New users +46.3%
612
655
Key events +7.0%
Figure 3: Organic Search sessions, users, and key events, quarter over quarter (GA4)
MetricMar–May 2026Jun–Aug 2026Change
Organic Search Sessions3,0784,232+37.49%
Organic Total Users1,8962,877+51.74%
Organic New Users1,8562,715+46.28%
Organic Key Events612655+7.03%

Across the full engagement to date (09 March – 07 September 2026), Organic Search has become the single largest traffic channel for the website: 7,670 sessions and 57.44 percent of total site sessions, ahead of Direct, Paid Search, Referral and every other channel combined.

Google Search Console: clicks, impressions and rankings

The monthly Search Console trend shows a clear inflection point right around the launch date of 25 February 2026. Clicks and impressions, largely flat for the prior six months, began climbing steadily from March 2026 onward.

Clicks before
18.6 / day
Clicks after
28.6 +53.8%
Impressions before
618 / day
Impressions after
1,210 +95.9%
Figure 4: Average daily clicks and impressions before and after the SEO + GEO launch (25 February 2026)
MetricBefore SEO + GEOAfter SEO + GEOChange
Clicks (avg / day)18.628.6+53.8%
Impressions (avg / day)6181,210+95.9%
Average position21.59.9Improved by 11.6
Clicks (Jan 2026 vs Aug 2026)5651,124+98.9%
Impressions (Jan 2026 vs Aug 2026)22,19263,624+186.6%

Keyword ranking movement

Beyond overall averages, individual category and ingredient keywords — the exact terms buyers use when searching for a supplier — showed strong upward movement into page one territory.

KeywordAvg. position (post launch)
Hydroxypropyl methylcellulose manufacturers in India1.93
Hydroxypropyl cellulose manufacturers in India2.77
HPMC manufacturers in India3.47
PEG 4000 manufacturer in India3.71
Polyethylene glycol 3350 manufacturers in India5.11
HPMC supplier in India5.21
PEG 400 manufacturers in India5.29

These are not vanity keywords. Every term carries clear commercial and manufacturer intent — the person searching is actively looking for a supplier, not general information — which makes this ranking movement directly relevant to lead generation.

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Strategic Insights

Technical, ingredient-specific content outperforms generic marketing pages

The pages that moved fastest into page one rankings and AI Overview citations were dedicated grade and application guides, not the homepage or general company pages.

SEO and GEO compound each other rather than compete

The same structured technical content that improved Google rankings is the material AI platforms draw on when citing sources, so investment in one strengthens the other.

Answer Engine Optimization is the bridge between SEO and GEO

Content written to directly answer a specific buyer question performed best across both traditional search and AI platforms, confirming clear structured answers are becoming a ranking factor in their own right.

Desktop-dominant behaviour confirms a B2B research audience

With roughly three out of four AI Overview impressions from desktop devices, the audience profile matches technical and procurement staff researching during working hours.

International visibility arrived earlier than expected

AI Overview impressions from more than 20 countries within months of launch suggest GEO can accelerate international market reach faster than organic SEO alone typically does.

Specialty chemicals, pharmaceutical excipient, and personal care ingredient buyers are increasingly starting their supplier research inside conversational AI tools rather than a traditional search engine alone. A formulation chemist or procurement manager may now ask an AI assistant to compare HPMC grades or shortlist PEG manufacturers before ever opening Google. For manufacturers in this space, visibility inside AI Overviews, ChatGPT, Gemini, Claude.ai, and Perplexity.ai is quickly becoming as commercially important as ranking on page one of Google itself.

Manufacturers that move early on Generative Engine Optimization are positioning themselves to be the default answer when an AI platform is asked to recommend a supplier — a compounding advantage that becomes harder for competitors to close the longer it is left unaddressed.

This case study demonstrates that a well-executed SEO + GEO plan can deliver measurable movement in both traditional and AI search within a single quarter, and that the advantage tends to accelerate the longer the strategy runs.

Why SEO + GEO?

Traditional SEO and Generative Engine Optimization are not competing strategies — they are complementary layers of the same visibility goal. SEO builds the technical and content foundation that Google, and every AI platform trained on the open web, depends on. GEO takes that same foundation and shapes it specifically for how AI systems read, summarise and cite information.

Future proofing

As procurement research shifts to AI assistants, a website optimised only for traditional search risks becoming invisible in the fastest-growing channel.

Compounding returns

Technical content built for GEO also strengthens traditional keyword rankings, so one investment supports both channels rather than splitting budget.

Early mover advantage

Very few specialty chemicals manufacturers have invested in GEO yet, so those who move first can become the default AI-recommended supplier in their category.

The Final Word: Engineering Long-Term Growth Through SEO and GEO Excellence

In just over six months, the SEO Corporate + GEO Plan implemented by Opal Infotech moved this specialty chemicals manufacturer from an average Google position of 21.5 to 9.9, grew Organic Search sessions by 37.49 percent quarter over quarter, and opened an entirely new AI Assistant traffic channel that did not exist before the campaign began. Most importantly, the manufacturer’s technical content is now surfaced and cited inside Google AI Overviews and by ChatGPT, Claude.ai, Google Gemini, and Perplexity.ai.

For specialty chemicals, pharmaceutical excipient, and personal care ingredient manufacturers evaluating how to stay visible as search behaviour evolves, this case study is clear evidence that a combined SEO and GEO strategy, executed with technical depth and consistency, delivers measurable results within a single quarter and compounding advantage over time.

FAQs

What is Generative Engine Optimization (GEO) and why does it matter for a specialty chemicals manufacturer?+

GEO is the practice of optimising website content so AI platforms such as ChatGPT, Google Gemini, Claude.ai and Perplexity.ai can accurately understand, summarise and cite it. For a specialty chemicals manufacturer, this matters because procurement and formulation teams increasingly ask AI assistants to compare ingredient grades and shortlist suppliers before visiting any website directly.

How is GEO different from traditional SEO for a B2B chemical manufacturing website?+

Traditional SEO focuses on ranking in Google results through keywords, backlinks and technical optimization. GEO focuses on how AI systems parse and cite content, relying more heavily on clear structure, direct answers, schema markup and natural, conversational writing. The two share a foundation but are measured differently.

How long does it take to see results from an SEO Corporate + GEO Plan?+

In this case, measurable movement in average ranking position and organic traffic was visible within the first month, with AI platform sessions and AI Overview citations building over the following quarter. Results generally continue to compound over six to twelve months as more technical content is published and indexed.

Which AI platforms are most important for a chemicals or excipient manufacturer to optimize for?+

Based on this engagement, ChatGPT drives the largest share of AI referral traffic, followed by Claude.ai, Google Gemini and Perplexity.ai. Google AI Overviews, which appear directly inside standard Google results, are also a critical visibility surface and should not be treated separately from core SEO work.

Can GEO help chemical manufacturers reach international buyers?+

Yes. In this engagement, AI Overview impressions were recorded from more than 20 countries within months of launch, including the United States, the United Kingdom, Germany and Canada, suggesting GEO can open international visibility faster than organic SEO alone typically achieves.

How is the success of a GEO campaign measured when AI platforms have no analytics dashboards?+

Success is measured through a combination of signals: Google Search Console AI Overview impressions, GA4 session data segmented by AI platform referral source, and manual tracking of citations and mentions across ChatGPT, Gemini, Claude.ai and Perplexity.ai, since these platforms do not yet offer standardised analytics of their own.

What is Answer Engine Optimization (AEO), and how does it fit with SEO and GEO?+

AEO is the practice of structuring content to directly and clearly answer specific buyer questions, often in a question-and-answer format. It bridges SEO and GEO, since well-structured direct answers perform strongly both in traditional Google rankings and as source material AI platforms cite when generating responses.

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