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Megantic vs Intelligent Resourcing: Why Ranking Number 1 Is Not Enough

Megantic ranks ecommerce pages, and does it better than almost anyone. Whether an AI engine names your brand is a separate question. Here is the split.

Last reviewed:
September 3, 2026
· Reviewed quarterly for accuracy
Megantic vs Intelligent Resourcing: Why Ranking Number 1 Is Not Enough
Key Facts

Megantic is an ecommerce-only organic search agency, built for retailers on Shopify, Magento, BigCommerce and headless setups. It is the most awarded agency of its kind in the region, and it now sells answer engine optimisation (AEO) alongside its search engine optimisation (SEO) work. Intelligent Resourcing's Content Strategy service answers a narrower question: whether an AI engine names a brand in its answer, tracked by engine and dated. Both matter. They are not the same job, and the overlap between them is smaller than most retailers assume.

TL;DR
  • Megantic is the most awarded ecommerce search specialist in the region. 31 industry awards, Best Global eCommerce Agency for a third consecutive year, more than 600 projects across 70-plus industries, and better than 95% client retention over 12 months.
  • It does work on AI search, and says so plainly. Its own site names ChatGPT and Gemini, it sells an AI SEO service for ecommerce, and it publishes AEO research. Anyone claiming Megantic ignores AI search has not read its site.
  • The open question is measurement, not intent. Its published service pages do not set out how AI visibility gets measured or reported, which is the thing a buyer needs before signing.
  • Intelligent Resourcing's Content Strategy service reports that directly, as a named-versus-cited split across ChatGPT, Gemini, Google's AI Overview and Copilot, dated to each tracking period.
  • Rankings and citations have come apart. Only about 12% of the links AI assistants cite also rank in Google's top 10 for the same question.
Decision Matrix
SituationBest choiceWhy
Online retailer on Shopify, Magento, BigCommerce or headlessMegantic15-plus years of ecommerce search, the strongest specialist in the region
Ecommerce catalogue mid platform migrationMeganticMigrations are its strongest suit; Intelligent Resourcing does not do this work
Retailer wanting a dated citation record alongside existing SEOIntelligent ResourcingReports which engine named and cited the brand, and when
Organic rankings hold up but AI answers still skip the brandIntelligent ResourcingThe two no longer move together, so citation needs its own measurement
Company needing paid mediaNeitherMegantic runs organic search only; Intelligent Resourcing does not run paid media

Fair exception: a retailer that wants one team owning the whole organic surface, from technical health to category pages to a platform migration, gets depth from Megantic that a citation tracker does not compete with.

The Verdict

Megantic is the most decorated ecommerce search specialist in the region, and the specialism is real rather than marketing language. It has also moved into AEO on its own terms, which is more than most agencies its size have done.

The difference is what each side publishes as proof. Megantic publishes awards, retention and research on how AI is changing shopping. Intelligent Resourcing publishes a dated, engine-by-engine record of whether a brand was named and cited. Both are evidence. They answer different questions, and a buyer should know which one they are actually being sold.

What Has Megantic Built in 15-Plus Years of Ecommerce Search?

Four areas of a single-discipline ecommerce practice and what each publishes. Track record: 15-plus years of ecommerce organic search, published as 31 awards and most awarded agency in the region. Scale: more than 600 projects across 70-plus industries, published as better than 95% retention over 12 months. Platforms: Shopify, Magento, BigCommerce, WooCommerce and headless, published as migrations with rankings protected. AI search: an AI SEO service for ecommerce plus AEO research, with engines named but the measurement method not set out. Awards, retention and research are all real evidence. They answer a different question from a citation record.
A single-discipline ecommerce practice, in numbers.

Megantic built a single-discipline practice around ecommerce organic search. Its own site reports 31 industry awards and the title of most awarded agency in the region, including Best Global eCommerce Agency for a third consecutive year. It lists more than 600 completed projects across 70-plus industries, better than 95% client retention over 12 months, and 15-plus years of organic search experience, with offices in Melbourne, the United Kingdom and Canada. It sits among the AEO agencies in Australia worth knowing about.

What it covers:

  • Technical SEO: crawl optimisation, site architecture, URL and category structure
  • Keyword research and category page strategy, including enterprise and local search
  • SEO migrations across Shopify, Magento, BigCommerce, WooCommerce, Neto, Commercetools, Shopline and headless builds
  • Growth and protection work on established organic positions
  • An AI SEO service for ecommerce, sold as its own line

What it does not cover:

  • Google Ads or any paid media
  • Social media management
  • Web builds or development

Its clients are consumer product retailers: fashion, furniture, footwear, professional workwear. The expansion into the United Kingdom and Canada took the same specialism into new markets rather than widening the service.

What Does Megantic's AI Search Work Actually Cover?

Four claims on Megantic's own site and whether each answers the citation question. It names ChatGPT and Gemini, which shows AI search is explicitly in scope, but naming an engine is not measuring it. It sells an AI SEO service for ecommerce, which shows a funded, separate service line, but the scope is stated and the method is not. It publishes a 2026 AEO whitepaper, which is early published research on answer engines rather than client proof. A measurement method is not set out on its service pages, so it is not shown. Megantic does AI search work, and says so plainly. The question to ask on the call is how it gets measured.
Real AI positioning, with one thing left unstated.

More than a lot of comparison pages give it credit for. Megantic's own site states that large language models like ChatGPT and Gemini have changed how people search, it sells AI SEO for ecommerce as a named service, and it publishes AEO research including a 2026 whitepaper on how answer engines are reshaping shopping and a report on the state of AI and commerce. That is a genuine position, taken early, and it deserves saying.

What its published service pages do not set out is the measurement. There is no stated method for how AI visibility gets checked, which engines get checked, how often, or what a client sees at the end of a month. Testimonials reference monthly reports, but no AI-specific metric is described. Choosing between the two disciplines is really an SEO retainer versus GEO retainer question rather than a quality one.

That is the gap worth asking about on a sales call, and it is a fair question to put to any agency selling AEO, this one included.

What Happens When a Retailer Relies on Organic Rankings Alone?

Four measured findings and what each means for a retailer. About 12% overlap between AI citations and Google's top 10 across 15,000 prompts, meaning ranking first does not carry into the answer. A 58% lower click-through rate for the top page under AI Overviews, meaning the ranking itself is worth less than it was. 68% of US Google searches ending without a click, meaning fewer buyers ever reach the ranked page. 45% of marketing leaders unable to measure AI presence, meaning most teams cannot see either outcome. Two systems now, not one system measured two ways. Each needs its own evidence.
Ranking first says nothing about the answer above it.
MonthActivityResult
1Market research and keyword mappingOpportunities identified
2 to 3Category pages optimised, backlinks builtRankings begin to improve
4 to 6Ongoing optimisation and reportingOrganic traffic measurably up
End of month 6AI citation checkNo record either way, because nothing measured it

The rankings gain is real. The problem is that nothing in that retainer produces an answer on AI citation, so a retailer six months in still cannot say whether an AI engine names the brand.

The pressure on the ranking itself is well documented. Ahrefs' updated analysis found AI Overviews cut click-through rate for the top-ranking page by 58%, up from the 34.5% it first measured. SparkToro puts 68% of US Google searches as ending without a click at all in early 2026. Ranking first is worth less than it was, and it says nothing about the answer sitting above it.

Most teams cannot see the gap either way. Semrush's 2026 AI Visibility Index, built on 126 million AI search prompts, found 45% of marketing leaders cannot measure their brand's presence in AI answers at all.

How Does Intelligent Resourcing's Content Strategy Service Work?

Content Strategy builds the citation architecture for AI search, or generative engine optimisation (GEO), that decides whether an AI engine names a brand in its answer. That means entity consistency across published content, category positioning against competitors, and depth on the specific questions an engine is answering rather than the keywords a person types.

The part that separates it from a broader retainer is the reporting. The tracker covers ChatGPT, Gemini, Google's AI Overview and Copilot, and reports a named-versus-cited split dated to each tracking period. A brand can be retrieved by an engine and left out of the answer, or used in the answer without a name check. Only a citation record distinguishes those from being properly cited.

Only about 12% of the links AI assistants cite also rank in Google's top 10 for the same question, on Ahrefs' analysis of 15,000 prompts. Rankings and citations are two systems now, not one system measured two ways. The original GEO research paper found structured, source-grounded content earns measurably more consistent citations, though knowing whether that landed still requires measuring it per engine.

Which Model Fits Your Business?

Four buyer needs and where each one points. One, ecommerce search end to end: technical health, category pages and organic growth owned by one specialist team. Two, a migration handled safely: moving platforms with existing rankings protected through the change. Three, a dated citation record: which engine named and cited the brand, and when, reported by period. Four, positioning and entity work: category positioning and entity consistency addressed directly, not folded in. The first two point to Megantic. The second two point to a dated citation record.
Match the provider to the proof you need.
Buyer needBetter fit
Ecommerce organic search owned end to end by one specialist teamMegantic
A platform migration with rankings protected through the moveMegantic
A dated, engine-by-engine record of whether the brand is citedIntelligent Resourcing
Category positioning and entity consistency addressed directlyIntelligent Resourcing

Being straight about the limits is more useful than pretending they are not there. Intelligent Resourcing does not cover organic SEO, technical audits or paid media, and it does not do platform migrations, web development or content marketing at scale. GEO work also takes months to show in citation results, the same way organic SEO takes months to show in rankings. If any of that describes the primary need, Megantic or another specialist is the honest recommendation.

A retailer can also run both. The two services address different layers of discovery, so they compete for attention rather than for the same budget line. If the need is narrower than an ongoing retainer, a one-off AI citation audit is the cheaper place to start.

Comparisons

Do AI engines name you?

A ranking report tells you where a page sits. It does not tell you whether an AI engine mentioned the brand when a buyer asked. Get in touch to see how the tracking reads against your own accounts.

Frequently Asked Questions

FAQs

Does ranking well on Google guarantee a brand gets cited by AI engines?

No. Ahrefs' analysis of 15,000 prompts found only about 12% overlap between AI citations and Google's top 10 results for the same question. A page can rank first organically and still be absent from the answer an AI engine gives a buyer.

Does Megantic do AI search work?

Yes. Its site names ChatGPT and Gemini, it sells an AI SEO service for ecommerce, and it publishes AEO research including a 2026 whitepaper on answer engines and shopping. What its published service pages do not set out is how AI visibility gets measured or reported, which is worth asking about directly.

What does Intelligent Resourcing do that Megantic does not?

It reports a named-versus-cited split by engine and by date, across ChatGPT, Gemini, Google's AI Overview and Copilot. That is a citation record rather than a ranking report, and it is the thing a buyer cannot infer from organic performance.

Can a retailer use Megantic and Intelligent Resourcing at the same time?

Yes. Megantic runs the ecommerce organic search work, and Content Strategy adds a separate record of whether AI engines are naming the brand. The two address different layers of discovery.

How long does it take to see results with either?

Megantic's ranking improvements typically show over 3 to 6 months after research and optimisation. GEO work moves on a similar timeline, since engines need time to recrawl and reweight the content that establishes citation. Neither is a 30-day fix.

What happens to the work if an engagement ends?

If a Megantic retainer ends, rankings already achieved remain but new optimisation stops. If a Content Strategy engagement ends, the citation architecture already published stays live, though it stops being maintained against category shifts and new competitors entering the same answers.

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