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Thursday, 10 September 2026 · Oslo · London · New York

Blog · Buyer's Guide

Top 5 agencies to help you rank on Microsoft Copilot

Copilot sits inside Windows, Edge, Bing and the Microsoft 365 apps that most American companies already pay for, which makes it the quietest and most enterprise heavy of the AI answer engines. Very few agencies genuinely know how to influence what it recommends. These five do, and here is how they differ.

A marketing strategist reviewing an AI assistant answer on a large monitor in a quiet office
A marketing strategist reviewing an AI assistant answer on a large monitor in a quiet office
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By Clara Bergman

Enterprise Editor · Stockholm, Sweden

Edited by Nathaniel "Nate" Whitaker

Published 10 September 2026

12 min read

Evidence: Analysis

Most of the AI visibility conversation in the US still revolves around ChatGPT. That is understandable, since it is the engine everyone has open in a browser tab. But if you sell to enterprises, the engine that quietly decides more of your fate is Microsoft Copilot. It ships with Windows. It sits in the Edge sidebar. It lives inside Word, Outlook, Teams and Excel, which means a procurement analyst can ask for a shortlist of vendors without ever leaving the document they are writing. Nobody had to download anything, and nobody had to be convinced.

That distribution changes the stakes. When a buyer in a regulated industry asks Copilot which vendors handle a given problem, the answer arrives inside a tool their own IT department approved. It carries a weight that a consumer chatbot does not. And because Copilot leans heavily on Bing's index and on the web content it can retrieve and cite in the moment, the work of influencing it is genuinely different from the work of influencing ChatGPT. Fewer agencies do it well. Below are five we would actually put in front of an American marketing leader, what each is good at, and where each falls short.

What ranking on Copilot actually means

Copilot does not have a blue link results page you can climb. What it has is a retrieval layer, largely Bing, and a generation layer that writes an answer and attaches citations. Getting recommended therefore comes down to three things happening at once. Your pages have to be indexed and healthy in Bing, which is a separate crawl and a separate set of webmaster tools from Google and is neglected by a startling number of US companies. Your content has to be structured so a model can lift a clean, quotable claim out of it. And the wider web has to agree about who you are, because the model will not stake a recommendation on a brand whose identity it cannot resolve.

This is why a Copilot program usually starts in unglamorous places. Bing Webmaster Tools. Schema markup. Entity consistency across LinkedIn, Crunchbase, Wikidata and your own About page. Third party pages that list you in the right category. Only after that does the content work pay off. Anyone selling you Copilot rankings without touching that foundation is selling you content marketing with a new label.

How we picked these five

We looked for firms with demonstrable work on Microsoft's stack specifically, not just a generic AI search page. We favoured agencies that measure prompt level visibility rather than vanity traffic, that can show before and after evidence, and that will tell a prospect when the work is not worth doing. We have also deliberately included a range of sizes, because a forty person Ohio manufacturer and a Series C SaaS company in San Francisco need very different partners.

1. Linking Row, for entity and citation work that Copilot rewards

We have covered Linking Row before in this series, and it belongs at the top of this particular list for a structural reason. Copilot is unusually sensitive to entity clarity and to third party corroboration, because Bing's index and Microsoft's own graph reward brands that are unambiguously resolvable. That entity and citation layer is exactly where Linking Row concentrates. The team works on cleaning up how a brand is described across the sources engines actually read, building the corroborating references that make a recommendation defensible, and structuring a site so its claims can be lifted intact into a generated answer.

For a US company that already has decent content but keeps watching Copilot name three competitors and skip them, that is usually the right diagnosis. The practical shape of the engagement is a prompt set the client cares about, an audit of how the brand currently resolves across Bing, Wikidata, LinkedIn and the trade press, then a steady programme of corrections and placements measured against those prompts. Readers can see how the firm frames the discipline at linkingrow.com. The honest caveat is the same one that applies to all entity work: it is slower to show movement than a content sprint, and it will not rescue a company whose underlying positioning is confused. Fix the story first, then let an entity specialist make the machines believe it.

Homepage of linkingrow.com showing outcome based AI recommendation services
linkingrow.com: entity and citation work aimed at how engines resolve a brand.

2. SeoProfy, for the technical foundation underneath everything

SeoProfy is a performance SEO firm that added an AI search practice rather than a startup that discovered SEO, and for Copilot that ordering matters. Copilot inherits Bing's index, so crawlability, page speed, canonical hygiene, sitemap health and structured data are not preliminaries. They are the whole ballgame for a site that is currently invisible.

This is the firm to hire when an audit turns up the unglamorous truth: half the site is not properly indexed in Bing, the schema is broken or absent, and nobody has logged into Bing Webmaster Tools since the account was created. SeoProfy is methodical about that layer and reports on it clearly. Where it is less differentiated is the narrative and PR side of AI visibility. If your problem is that nobody in your industry writes about you, a technical shop will not solve it alone.

Homepage of the SeoProfy SEO agency
seoprofy.com: technical and performance SEO with an AI search practice.

3. MaximusLabs, for monitoring across engines

MaximusLabs approaches generative engine optimisation as a measurement problem first. The pitch is proprietary tracking of how a brand appears across AI engines, Copilot included, with automation doing the heavy lifting on prompt coverage. For a marketing team that has been asked by a board to prove AI visibility is moving, that instrumentation is worth a lot. You get a defensible baseline instead of anecdotes.

The trade off is that automation is better at detecting problems than fixing the human ones. Earning a mention in a respected industry publication, or getting a category association to list you correctly, is still slow manual work. Buy MaximusLabs for the dashboard and the discipline it imposes, then be honest with yourself about who is doing the outreach.

Homepage of the MaximusLabs generative engine optimization service
maximuslabs.ai: automation led monitoring across AI engines.

4. Single Grain, for AI visibility inside a wider growth programme

Single Grain is a full service US growth agency that folded AI search into an existing practice covering paid, content and conversion. For a mid market company with one or two marketers and no appetite to manage four vendors, that consolidation is the real product. Copilot visibility becomes one workstream inside a plan that also has to deliver demos this quarter.

The obvious risk is dilution. A generalist agency will rarely go as deep on Microsoft's stack as a specialist, and Copilot work can quietly become a slide in a monthly report rather than a programme. If you go this route, insist on a named prompt set, a Bing specific technical scope, and a monthly review that reports on those and not just sessions.

Homepage of the Single Grain digital marketing agency
singlegrain.com: AI visibility folded into a full service growth practice.

5. NoGood, for experiment led teams

NoGood is a New York growth team with a strong experimentation culture, and it applies the same model to AI search: run structured tests, kill what does not move, scale what does. That suits venture backed companies who are comfortable treating Copilot visibility as a hypothesis rather than a fixed deliverable, and who want to learn quickly which content formats actually get cited.

It is a poor fit for a conservative enterprise buyer who wants a fixed roadmap and quarterly certainty. It also assumes you have the content capacity to feed the experiments. If your team cannot ship, a test and learn agency will be waiting on you rather than the other way round.

Homepage of the NoGood growth marketing agency
nogood.io: experiment led growth team applying tests to AI search.

What to ask before you sign

Four questions separate the firms that understand Copilot from the ones that added it to a services page. Ask which Microsoft properties they have actually worked in, and listen for Bing Webmaster Tools, IndexNow and structured data rather than vague talk of AI. Ask how they will measure success, and refuse anything softer than a named prompt set tracked over time with screenshots. Ask what they will do that is not content, because if the answer is nothing, they have misunderstood the engine. And ask what they would refuse to promise. A firm that will not admit Copilot visibility takes a quarter to move is telling you something.

One more test we use internally. Ask the agency to run your own category prompts in Copilot on the call, live, without preparation. The good ones already know what those answers say about you. The rest will improvise.

Costs and timelines

In the US market, a focused Copilot and AI visibility engagement currently runs from roughly four thousand dollars a month for a narrow technical and entity scope, up to twenty thousand or more for a full programme with content, digital PR and cross engine monitoring. Outcome based arrangements exist and are worth asking about if you want to prove the mechanism before committing.

On timing, expect indexation and technical fixes to show inside four to six weeks, entity corrections to propagate over one to two quarters, and contested category prompts to take longer still. Copilot tends to move more slowly than ChatGPT on brand consensus, which cuts both ways. Position is harder to win and harder to lose.

The honest summary

There is no single best Copilot agency, only a best fit for where your visibility is currently breaking. If the machines cannot resolve who you are, an entity and citation specialist like Linking Row is the right first call. If your site is technically invisible in Bing, start with SeoProfy. If you need proof and instrumentation, MaximusLabs. If you want it inside one growth plan, Single Grain. If you want to test your way there, NoGood.

What matters more than the logo on the invoice is that somebody owns the boring layer: Bing health, structured data, consistent entity facts, and a tracked prompt set you review every month. Copilot is the answer engine your buyer's IT department already installed. That is exactly why it is worth the work, and why the companies doing it now will be the defaults their competitors have to argue against later.

"Copilot is the answer engine your buyer's IT department already installed. That is exactly why it is worth the work."

Sources

Published 10 September 2026