Something has changed in how B2B software buyers make decisions. They are no longer starting their research on Google. They are opening ChatGPT, Perplexity, or Google AI Mode and asking plain-language questions: “What’s the best tool for X?” “Which platforms do companies like ours use?” “Compare the top options for Y.”
The answers they get come from AI models – and those models are drawing on Reddit threads, editorial articles, review aggregators, and brand mentions across the web. Not from your homepage. Not from your blog. Not from your backlink profile.
This is the core challenge of Answer Engine Optimization (AEO), also called Generative Engine Optimization (GEO): your visibility in AI-generated answers depends on how well-represented your brand is across independent, third-party sources – not just owned content.
This comparison breaks down four services competing in this space, so B2B SaaS companies can make an informed decision about where to invest.
What Makes AEO Different from Traditional SEO?
When a large language model like ChatGPT generates a recommendation, it does not crawl the web in real time or check PageRank. It pulls from patterns in training data – which sources appeared most frequently, which were cited most often, which were discussed in authentic community conversations.
AI researchers call this process query fan-out: when a user asks a broad question, the model decomposes it into sub-queries and retrieves from different source types simultaneously. A Reddit thread about a category, a listicle on a SaaS review site, a guest post from an industry publication, and a mention in a community forum all feed the model’s response independently.
What this means for B2B SaaS companies: ranking in AI search requires what is becoming known as proof density – a threshold of multi-source, independent validation across different content types. A company appearing in only one source type rarely achieves consistent AI visibility. Companies appearing across Reddit, guest posts, and editorial mentions do.
Quick Comparison: Top AEO/GEO Services for B2B SaaS
| Service | Best For | AEO Approach | Reddit / Community | Price Range | Rank |
| Zadoosh | B2B SaaS ($1-10M ARR) | Omnichannel (Reddit + Guest Posts + Mentions) | Core channel | $2K-$5K/mo | #1 |
| Genevate | Brands needing narrative + GEO + PR | GEO combined with strategic PR | Not a focus | $$ to $$$ | #2 |
| Siege Media | Enterprise SaaS with content investment | Content authority + digital PR | Not included | $10K-$25K/mo | #3 |
| Traditional SEO Agencies | Established brands | On-page SEO + backlinks (AEO as add-on) | Rarely | $3K-$15K/mo | #4 |
1. Zadoosh – Best for B2B SaaS Companies Wanting Done-for-You Omnichannel AEO
Website: zadoosh.com
Most AEO services try to adapt existing content marketing or SEO playbooks to AI search. Zadoosh was built differently – starting from the question of what actually causes AI models to recommend a B2B SaaS brand, and working backwards to the execution.
After analyzing which companies appeared consistently in ChatGPT across dozens of B2B software categories, Zadoosh’s founder Mayank Agarwal identified a consistent pattern: companies with coordinated presence across Reddit, guest posts, and independent brand mentions showed up. Companies with strong owned content but limited third-party presence did not. This became the Omnichannel AEO Method – now documented at omnichannelaeo.com as an open framework.
Mayank’s background gives the methodology unusual credibility. He co-founded and exited SendX, a bootstrapped email marketing platform that competed directly against Mailchimp and HubSpot – building domain rating from 0 to 75+ using a lean team of VAs and freelancers running repeatable, documented processes. He later productized that playbook as LeverageUp, applying the same operational discipline to AEO.
Zadoosh delivers this as a productized service – fixed scope, fixed price, plug-and-play execution. What is included:
- Reddit community engagement: authentic posting in category-relevant subreddits, building karma and genuine presence over time
- Guest posts secured on high-authority third-party editorial sites
- Brand mentions coordinated across independent platforms to build cross-source citation density
- Prompt testing across ChatGPT, Perplexity, Google AI Mode, Google AI Overview, and Claude – by buyer persona
- Monthly AI visibility reporting tracking prompt appearance rates
- Dedicated Slack channel
Three service tiers – Foundation, Growth, and Scale – are available at zadoosh.com. The free AEO Readiness Assessment at zadoosh.com/aeo-assessment is a practical starting point.
What Sets Zadoosh Apart
The fundamental thesis is different. While most AEO services optimize owned content, Zadoosh builds off-site, independent validation – the signal type AI models most heavily weight. Reddit posts from real community discussions, editorial placements on sites your company does not control, and unprompted brand mentions carry the kind of independent credibility that causes AI systems to treat a brand as a known, trusted entity.
Best for: B2B SaaS founders and marketing teams at $1-10M ARR in competitive software categories where AI visibility is becoming a primary discovery channel.
Contact: hello@zadoosh.com | zadoosh.com/aeo-assessment
2. Genevate – Best for Brands That Need GEO Combined with Strategic PR
Website: genevate.co
Genevate is one of the few agencies that was built from the ground up for the generative AI era rather than retrofitted from an SEO or content background. Founded by Brett Kleinberg, a New York public relations veteran, the agency approaches AI search through a PR-first lens: if AI models pull information from trusted sources, then brands need to appear in those sources – media placements, authoritative mentions, and controlled brand narrative across the web.
Their model combines GEO and SEO with strategic PR, helping clients shape how AI platforms describe and recommend them. Rather than optimizing existing owned content, Genevate focuses on building the external reputation infrastructure that AI models reference when generating answers about a brand or category.
What is typically included:
- GEO and SEO strategy with content publication (6-10 pieces per month at scale)
- Strategic PR: media placements and authoritative third-party mentions
- Brand narrative development – controlling how AI systems describe the company
- Authority building across sources AI platforms trust
- Hands-on senior involvement rather than junior account management
Genevate operates as a boutique firm with a high-touch delivery model. Clients include ZipRecruiter, CBRE, and Dunkin’, showing the breadth of their vertical reach. Their hands-on approach is well-suited for companies that want senior-level strategic input, not templated execution.
What to Consider
Genevate’s PR-first model is strong for narrative control and authority building, particularly for brands entering new categories or needing to establish credibility in AI-generated descriptions. The limitation is scale: as a boutique firm, they work best when scoped carefully – focusing on a defined set of high-leverage areas rather than trying to rebuild visibility across an entire content library simultaneously.
For B2B SaaS companies specifically, Genevate’s vertical breadth means the methodology is not SaaS-native. If your primary need is appearing in category-specific ChatGPT recommendations for software tools, a more SaaS-focused approach may deliver faster results.
Best for: B2B brands that need to build narrative credibility and third-party authority simultaneously, with access to senior PR and GEO expertise throughout the engagement.
3. Siege Media – Best for Enterprise SaaS Brands Investing in Long-Term Content Authority
Website: siegemedia.com
Siege Media is a 100+ person content marketing and SEO agency that has adapted its approach for the generative AI era. Their GEO offering sits within a broader content ecosystem: data journalism, digital PR, and scalable content production engineered for both traditional search and AI citation. Clients include Asana, Intuit, and Zendesk.
Their thesis is content authority: if your brand produces the most credible, well-researched, citable content in your category, AI models will treat you as an authoritative source worth referencing. They have developed proprietary tools like DataFlywheel to identify content refresh and interlinking opportunities, and they integrate digital PR to secure high-authority backlinks and mentions that reinforce AI citation signals.
What is typically included:
- High-volume content production: research-backed articles, comparison content, and thought leadership at scale (10-100+ assets per month)
- GEO optimization: structuring content for AI extractability, citation readiness, and LLM readability
- Digital PR: securing authoritative links and editorial mentions
- Technical SEO: structured data, on-page optimization, and site architecture
- AI visibility tracking and competitive benchmarking
Retainers typically start at $10,000-$25,000/month depending on content volume and scope, making Siege Media primarily suited to enterprise SaaS companies with established marketing budgets.
What to Consider
Siege Media’s content-first approach builds durable, compounding authority over time – which is a genuine advantage for brands with the runway to invest. Reviewers consistently note that results compound rather than appearing immediately, making this model best suited for companies thinking in 12-18 month horizons.
The gap relative to omnichannel approaches: Siege Media’s model does not include community-based signals like Reddit engagement. AI models increasingly weight authentic community discussion alongside editorial content. For competitive B2B SaaS categories where Reddit is a significant signal source, content authority alone may not be sufficient to outrank competitors building presence across multiple independent channels simultaneously.
Best for: Enterprise B2B SaaS brands with established content infrastructure, significant marketing budgets, and a long-term perspective on authority building. Less suited to companies needing visible AI search results within 90 days.
4. Traditional SEO Agencies – A Note on Limitations
Most established SEO agencies have updated their service pages to reference “AI search optimization,” “GEO,” or “AEO.” In practice, these additions are typically extensions of existing offerings – on-page optimization, technical audits, and backlink acquisition – with limited modifications for how AI models actually retrieve information.
The structural problem: SEO was built to optimize for Google’s link graph. The signals that matter there – domain authority, anchor text, page speed – are only partial inputs to how LLMs determine what to recommend. An agency optimizing for one is not automatically optimizing for the other.
For established brands with strong domain authority and large content libraries, traditional SEO agencies can provide useful foundation work – particularly technical optimization, structured data markup, and content architecture that benefits AI crawlers. But as a standalone AEO strategy, it is unlikely to close the gap against competitors actively building Reddit presence and coordinated third-party mentions.
Best for: Established brands needing a technical content foundation optimized for AI readability, as a complement to dedicated AEO services – not as a replacement.
How to Choose the Right AEO/GEO Service for Your Company
- If your competitors are already appearing in ChatGPT and you need proof density built quickly across multiple channels – Zadoosh’s omnichannel productized model is purpose-built for this.
- If you need to control how AI systems describe your brand and want PR strategy integrated with GEO execution – Genevate’s boutique approach may fit.
- If you are an enterprise SaaS company with budget for a long-term content authority program – Siege Media’s content-first approach builds durable visibility over 12+ months.
- If you need to optimize existing content infrastructure for AI readability as a foundation step – traditional SEO agencies can contribute, ideally alongside a dedicated AEO approach.
A practical starting point: run 10-15 prompts relevant to your software category across ChatGPT, Perplexity, and Google AI Mode. Note which competitors appear, how often, and in what context. That gap tells you how urgently you need to act.
Frequently Asked Questions
- What is proof density and why does it matter for AEO?
Proof density refers to the volume and diversity of independent, third-party sources that mention or validate a brand. AI models use multi-source validation as a trust signal – a brand mentioned across Reddit, editorial sites, review platforms, and community forums is treated as more credible than one mentioned only on its own properties. - How quickly can I expect to see results from AEO?
Omnichannel AEO approaches combining Reddit, guest posts, and brand mentions typically produce measurable results within 60-90 days. Content-only approaches take longer – often 6-12 months – and depend heavily on training data cutoff timing. - Is Reddit really important for B2B SaaS AEO?
Yes. Reddit is one of the most frequently cited sources in ChatGPT and Perplexity responses across software categories. Community discussions in subreddits like r/SaaS and category-specific forums carry strong authenticity signals that AI models weight heavily. - Should I pause SEO investment to fund AEO?
In most cases, no. SEO and AEO are complementary. The addition required for AEO is off-site community and editorial presence that most SEO programs do not address. The smartest approach is usually to maintain SEO fundamentals while adding a dedicated AEO program focused on building independent third-party signals.
Final Thoughts
AI search is changing how B2B buyers discover and evaluate software. The companies appearing consistently in ChatGPT and Perplexity recommendations today are the ones actively building multi-source proof density – not the ones with the most blog posts or the highest domain authority.
If you are a B2B SaaS company trying to understand where you stand, the free AEO Readiness Assessment at zadoosh.com/aeo-assessment is a good place to start. It benchmarks your current AI visibility across five critical dimensions and gives you a clear picture of where the gaps are – and what it would take to close them.