The 12 Directories Every Dynamics 365 Partner Needs to Claim Before AI Leaves You Behind 

LLMs don’t guess who to recommend. They triangulate from the sources they trust. If your company isn’t showing up in the right places, you may be invisible to the fastest-growing discovery channel in B2B software. 

Here’s a pattern I see constantly when auditing Dynamics 365 partners: strong MPN presence, decent AppSource listing, maybe a Clutch profile. And that’s it. Two, maybe three directory listings out of a dozen that actually matter. 

A year ago, that might have been fine. Today, it’s a visibility gap that’s widening every quarter. AI-powered search is fundamentally changing how buyers discover software partners, and the models powering that search don’t rely on any single source. They build their understanding of who you are and what you do from the breadth and consistency of your presence across the web. 

According to Search Engine Land, traditional search clicks have dropped roughly 30% year-over-year as AI Overviews and answer engines like ChatGPT, Perplexity, and Gemini serve direct answers. According to SparkToro, nearly 60% of Google searches now end without a click. The partners who show up in those AI-generated answers will capture the lion’s share of what’s left. The ones who don’t won’t even know what they’re missing. 

How LLMs Actually Decide Who to Recommend 

Large language models don’t rank websites the way Google does. They don’t rely solely on traditional page-level ranking in the way classic search engines do. Instead, they build an understanding of entities – real-world things like companies, products, people, and the relationships between them. When someone asks an LLM “who are the best Dynamics 365 partners for manufacturing?”, the model isn’t searching the web in real time (with some exceptions). It’s drawing on its trained understanding of which entities are associated with that query – and how confident it is in those associations. 

This is where entity recognition becomes critical. As iPullRank’s research on AI search platforms explains, LLMs use Named Entity Recognition (NER) to move beyond keyword matching toward understanding real-world “things” – and they map mentions to canonical IDs in knowledge bases like Wikidata and Google’s Knowledge Graph. The more consistently your company appears across authoritative, structured sources, the stronger that entity signal becomes. 

Think of it as triangulation. When your brand appears on the official Microsoft Partner Directory and niche Dynamics directories and general B2B review platforms and your own website with proper schema markup, LLMs connect those dots into a coherent entity. They understand not just that you exist, but what you specialize in, where you operate, and how credible you are. Remove any of those nodes and the picture gets fuzzier – and fuzzier means the model recommends someone else. 

Key Insight: Research from EWR Digital and Waikay shows that when an entity appears across structured databases, content hubs, and authoritative industry sources, it crosses a threshold into AI knowledge graphs – making it eligible for recommendation. According to their research, contributions to just 3-5 high-authority niche publications can increase brand citation rates by 40-65% for industry-specific queries within 60-90 days. 

The critical takeaway: niche, high-trust sources outperform general ones for building entity authority. Content on industry-specific platforms demonstrates what researchers call “accelerated LLM inclusion” – appearing in AI responses within hours rather than the days or weeks typical of general-interest sites. 

The Directory Landscape for D365 Partners 

Not all directories serve the same purpose, and understanding the distinction matters for prioritization. The directories relevant to Dynamics 365 Business Central and F&SCM partners fall into two categories: 

Microsoft Partner-specific directories (Microsoft Partner Directory, AppSource, MSDynamicsWorld, Top Dynamics Partners, ERP Research, ERP Software Blog, CRM Software Blog, CloudTango) carry the strongest niche relevance signal. Buyer intent is highest here because visitors are specifically researching Dynamics solutions. For LLMs, these sites create tight entity associations between your brand and D365-specific queries. 

General B2B directories (Clutch, G2, GoodFirms, DesignRush) bring established domain authority and broader reach. They’re platforms LLMs already trust as sources for vendor evaluation – G2 and Clutch data appear frequently in AI-generated comparisons. These sites anchor your entity in the wider B2B software ecosystem beyond the Microsoft bubble. 

You need both. Niche directories tell LLMs what you specialize in. General directories tell them that you’re credible. Together, they create a web of association that’s much harder for AI models to ignore. 

The 12 Directories You Should Prioritize 

Below is the directory matrix I use when advising D365 partners on their AI visibility strategy. It’s organized by priority – P1 directories should be claimed immediately, P2 within the next 30-60 days, and P3 as bandwidth allows. 

P1 – Claim These Now 

These five directories represent the foundation of your entity footprint. The Microsoft Partner Directory and AppSource are table stakes – they’re where Microsoft routes buyers, and LLMs treat them as primary sources of truth. MSDynamicsWorld is the largest independent Dynamics community and doubles as a content publishing platform, giving you both a listing and a stage. Top Dynamics Partners is a Dynamics-only directory with verified reviews that’s gaining traction as an LLM citation source. Clutch rounds out P1 as the most authoritative general B2B review platform, with an official Microsoft Business Apps partnership that strengthens its relevance signal. 

P2 – High-Value Next Steps 

ERP Research offers filterable listings across 108+ verified partners – its structured data format is exactly what LLMs parse well. ERP Software Blog and CRM Software Blog are editorially curated and publish semiannual “Best Partner” lists that frequently get cited in AI responses. CloudTango covers the MSP angle. G2 and GoodFirms round out the review platform ecosystem – the more places genuine reviews exist, the stronger your entity’s credibility signal. 

P3 – Breadth and Backlinks 

DesignRush is a broader agency directory. Buyer intent is lower, but the listing is free and contributes to overall entity breadth. Think of it as filling in the picture rather than drawing the outline. 

Free vs. Paid: What You’re Actually Getting 

Most of these directories offer free tiers, and for pure entity-building purposes the free listing is often sufficient. LLMs don’t distinguish between a free profile and a premium one when building entity associations – they care that you exist on the platform with accurate, consistent information. But the differences between free and paid tiers do matter for how much value you extract beyond the AI signal. 

What Paid Tiers Typically Unlock 

The specifics vary by platform, but paid tiers generally offer some combination of: a dedicated profile page (vs. just a line item in a list), higher placement in category rankings, dofollow backlinks instead of nofollow, the ability to feature case studies or portfolio work, and inclusion in curated “Top” and “Best of” lists. On Clutch, for example, their Featured Listings program positions your company across high-traffic category pages you wouldn’t appear on organically – but requires a 12-month commitment. On G2, paid profiles unlock enhanced branding, lead capture, and competitor comparison features. 

The Link Equity Question 

Here’s where it gets nuanced. Free directory listings frequently use nofollow or rel=”sponsored” link attributes, which signal to search engines that the link shouldn’t pass full authority. Paid tiers on some platforms upgrade you to dofollow links, which do pass link equity. According to StellarSEO’s research, 78.8% of SEO professionals believe nofollow links still impact rankings indirectly, and 73.2% of marketers now believe backlinks influence AI search results as well. Since Google’s 2019 update, nofollow is treated as a “hint” rather than a directive – meaning the link value isn’t zero, just diminished. 

For entity recognition specifically, the distinction matters less than you’d think. LLMs build entity understanding from mentions, not from crawling link graphs. Whether your Clutch profile links to your site with a dofollow or nofollow attribute, the LLM still sees “[Your Company] + Dynamics 365 + implementation partner” on a high-authority platform. That’s the entity signal that counts. 

The Paid Placement Reality 

There’s an elephant in the room worth addressing. Google’s official guidelines are clear: paid links should be marked with rel=”sponsored” to distinguish them from editorial endorsements. But the reality is more complex. Google’s SpamBrain system – significantly upgraded in its August 2025 spam update – uses machine learning to evaluate link quality at the network level, analyzing anchor text distribution, temporal clustering, and relational patterns between domains. Even without proper rel attributes, Google can detect paid placement patterns with increasing accuracy. Undisclosed paid links now carry a 40%+ risk of algorithmic devaluation. 

The practical takeaway: don’t pay for directory listings expecting to game link equity. Pay because the platform offers genuine visibility to buyers, editorial inclusion in curated lists, or a materially better profile experience. The editorially curated sites – ERP Software Blog and CRM Software Blog – are the strongest case for paid membership (typically around $100/month, often negotiable) because they get you into “Best Partner” lists that carry outsized citation value with LLMs. 

Making Your Listings Work Harder 

Claiming a listing is step one. Making it work for entity recognition requires a few additional moves: 

• Consistency is non-negotiable. Your company name, address, phone number, and description should be identical across every listing. LLMs use consistency as a trust signal – discrepancies create ambiguity, and ambiguity means the model is less likely to recommend you. 

• Complete every field. Partial profiles are weak signals. Fill in specializations, certifications, industries served, product expertise, and case studies wherever the platform allows. Structured, complete data is what LLMs parse best. 

• Distribute your reviews. Don’t concentrate all your client reviews on a single platform. Distributing 2-3 genuine reviews across multiple directories creates a broader credibility signal than 20 reviews on one site. 

• Implement schema markup on your own site. Use Organization, Service, and Review schema that references your directory profiles via sameAs links. This creates bidirectional entity connections that strengthen the entire web of association. 

• Claim listings yourself. Don’t outsource this to a third-party service. Use your company’s primary email, validate everything they ask you to validate, and own the relationship with the platform. These are your entity nodes. 

The Gap Between ‘Visible to Google’ and ‘Visible to AI’ 

Most Dynamics 365 partners I audit have claimed fewer than three of the twelve listings in this matrix. That gap between “we show up on Google” and “AI models understand who we are and recommend us” is real, and it’s widening as LLM-powered search captures more of the buyer’s journey. 

The good news: this is genuinely low-effort, high-impact work. You don’t need a six-month content strategy or a website redesign. You need to systematically claim, complete, and maintain your presence across the platforms that LLMs already trust. Start with P1 this week, work through P2 over the next month, and you’ll have fundamentally changed how AI understands your brand. 

Want to track your progress? I’ve built a free directory audit template – a spreadsheet with all 12 directories, status tracking, priority tiers, and action items. It’s the same framework I use with my clients. 

If you want to understand how AI currently sees your brand and where the gaps are, the Big Room team can help. From AI visibility audits to full execution strategies, they work with Microsoft partners to close exactly this kind of gap. 

About Colin Greig
Guest Author

LinkedIn

Focused on B2B revenue generation I help architect, align and implement data-driven marketing strategy, sales & marketing solutions and customer experiences that work cross channel to drive measurable business growth.