Our AI Visibility Service, AI Brand Links, vs. Competitor Services
Our AI Visibility Service, AI Brand Links, vs. Competitor Services
Most AI visibility services didn’t exist 12 months ago.
The ones that did, well… they’re essentially regular link-building products just with new labels.
We spent three months researching what actually gets brands cited in AI search, and then compared every provider we could find against what the data says matters.
This is what we found:
What the Research Says You Need
AI search systems, you know, ChatGPT, Perplexity, Google AI Mode, don’t guess at answers. They search the web in real time, pull sources, and extract what they need to build a response. That retrieval layer has specific, measurable preferences.
If you want your brand to show up when someone asks “what’s the best [product] for [use case],” the research says you need six things happening simultaneously. Miss one, and you’re leaving most of the opportunity on the table.
Here are those six things:
1. Third-party listicle and comparison content
AI cites third-party sources 6.5x more often than your own website. Blog posts, specifically listicles and “best of” content, account for 28.7% of AI citations. About 43.8% of ChatGPT citations come from listicle and comparison formats.

We tested this directly.
100 category queries across three AI platforms. Close to every single citation came from editorial listicles, review sites, and comparison publishers. Minimal from brand-owned content. Zero from generic blog posts.
Sources: AirOps (6.5x, 2025), Surfer (289K URLs, 28.7%), Ahrefs (43.8%), Loganix testing (100 queries, 3 platforms, Mar 2026)
2. A site that actually ranks for relevant queries
AI retrieval works with a fixed budget, roughly 2,000 words per query, spread across 5–10 sources from the top search results. The top source gets about 531 words. By the fifth source, you’re down to 266. If the site your brand appears on doesn’t rank for anything relevant, it never enters the retrieval window.

In other words, a DR 60 site that’s driving zero organic traffic for your query is invisible to AI, no matter what’s published on it. Simple as that.
Sources: DEJAN (7,060 queries, grounding budget), SE Ranking (129K domains, traffic/citation correlation)
3. Topical relevance to the query space
Only 12% of URLs cited by AI assistants appear in Google’s top 10 for the same query. More than 80% of citations don’t rank for the original prompt at all.

Why?
Because AI assistants don’t retrieve pages using the exact user query. They expand the prompt into multiple related searches, a process known as query fan-out, and then merge the results.
Pages that rank consistently across many related queries are far more likely to be retrieved, and this is exactly where topical relevance is important.
If a domain has no authority in the topic space, its pages rarely rank across those related queries, which means they rarely enter the retrieval pool.
That’s why a listicle about “best link-building services” published on a supply chain site or lifestyle magazine will almost certainly never get cited. The problem isn’t DR. The problem is a topical mismatch with the query space AI is searching across.
Sources: Ahrefs (12% cross-platform overlap, 15K queries)
4. Client linked, competitors unlinked
Links feed the retrieval layer; they help pages rank, which feeds AI retrieval. Mentions feed the training layer, meaning LLMs learn entity associations from the text itself.
So a brand with both a dofollow link and a contextual mention gets a dual signal: retrieval advantage plus training data association. A competitor that’s only mentioned without a link gets the weaker signal only.
This is a design choice you can make at the content level. Most providers don’t.
Sources: Research Sieve CI12 (Huang — mentions vs. backlinks operate on different layers), F1 (two-layer model)
5. Content structured for machine extraction
44.2% of ChatGPT citations come from the first 30% of a page’s text. AI treats H2 headings as prompts and the paragraph below as the answer. In fact, 78.4% of question-based citations come from H2s.

Entity density in cited content runs 20.6%, compared to a normal 5–8%. Adding statistics increases AI visibility by 41%. Adding keywords actually performs below an unoptimized baseline.
Tables, pros/cons, FAQs, these are the formats AI can parse cleanly. Long paragraphs of marketing copy are not.
Sources: Kevin Indig / Gauge (1.2M citations), Princeton GEO (peer-reviewed, statistics +41%), Indig (entity density, H2 structure)
6. Content built on AI query research, not keyword research
AI generates 3–100 sub-queries per user prompt. 28.3% of those sub-queries have zero search volume, meaning standard keyword tools can’t find them. Pages ranking for both the main query and the AI-generated sub-queries are 161% more likely to be cited.
A generic “Best CRM Tools” post written without query research is a lottery ticket. A post built around the specific queries AI actually decomposes is a targeted placement.
Sources: Surfer (sub-query ranking +49%/+161%), iPullRank + Semrush (28.3% zero-volume, 3–100 sub-queries per prompt)
How the Alternatives Stack Up
Research aside, let’s jump into the part you’re probably here for: the juicy comparisons.
We evaluated every type of provider a buyer would encounter when shopping for AI visibility: productized services, per-link agencies, and self-serve marketplaces.
Some of these are well-run companies with strong link-building track records.
We’re certainly not questioning whether they’re good; rather, whether their products are designed around how AI search actually retrieves and cites sources, aka what the research is showing us.
FatJoe: Brand Mentions
FatJoe launched their Brand Mentions product in July 2025. Three packages: 5 mentions for ~$2,000, 10 for ~$3,750, 20 for ~$7,000. Per-unit cost: $378.
The service promises listicles and reviews on DR 30+ sites. They also bundle Brand Mentions into their broader “Grow” packages alongside standard links.
Here’s the truth: The positioning says AI visibility, but the placements tell a different story.
FatJoe’s own white-label sample report shows placements for a link-building services listicle on a personal blog, an AI business tool site, a local UK newspaper, a lifestyle magazine, and a supply chain publication.
None of these sites has topical authority in the SEO or link-building space. The DR numbers look fine on paper, 50 to 62, but the retrieval probability for any AI query about link building? Effectively zero.
Those sites don’t rank for anything in that query space.
That’s the gap between “DR 30+ placement” and “placement that actually enters the AI retrieval window.”
JollySEO: Per-Link Earned Media
JollySEO earns journalist placements through Source of Sources, Profnet, and direct outreach. Three tiers: Starter at $297/link (DR 65 avg), Premium at $497/link (DR 70 avg), Elite at $1250/link (DR 80 avg). They position explicitly for “Google & ChatGPT” and offer free LLM brand audits.
The per-link price looks competitive. The commitment does not.
3-month subscription required. So, if you were to get 5 links per month, the real minimum spend would be: $4,455 for Starter, $7,455 for Premium, and $18,750 for Elite.
And because these are earned publisher placements, the client doesn’t control format, content structure, or competitive treatment.
An author might link to three of your competitors in the same piece. The placement quality can be strong, but “high-quality earned placement” and “placement designed for AI citation” are two different things.
The HOTH, uSERP, and the “AI Wrapper” Pattern
Several established link builders have added AI visibility positioning to their existing products.
The HOTH lists “AI Visibility” as a product category containing six services, most of which are their existing Digital PR, Earned Media, and link-building products with AI-readiness language added on top. In many cases, you’re once again up for a 3-month commitment.
uSERP positions itself as an “AI SEO agency” with retainers reportedly starting at $6,000+/month.
This is the most common pattern in the market right now. Take an existing product, add “AI-ready” or “optimized for AI Overviews” to the description, and sell it under a new label.
The product hasn’t changed. The framing has.
Some of these placements will help with AI visibility, sure, because strong editorial links on authoritative, topically relevant sites do feed the retrieval layer. But that’s a side effect of good link building, not the result of a product designed for how AI search works.
Marketplaces: The DIY Option
Collaborator.pro, Adsy, NO-BS Marketplace, Accessily, Serpzilla, and our own marketplace, Shop the List, allow you to browse publisher inventories, filter by metrics, and order content. You can request a listicle format. Per-placement cost ranges from $15 to $1,000+, depending on the site.
This is the cheapest option by a wide margin.
It’s also the one where every decision, site selection, topical matching, content structure, query research, and competitive treatment, falls entirely on the buyer. If you know exactly what you’re doing and have the time to do it, marketplaces can work.
Most buyers simply don’t, though.
The Side-by-Side Comparison
| What research says you need | FatJoe | JollySEO | The HOTH | Marketplaces | AI Brand Links |
| Third-party listicle/comparison content | Yes | No, the journalist decides | Some products | If the buyer orders it | Yes |
| Site ranks top 30 for target queries | No, off-topic placements | Partially | Varies | Buyer must verify | Yes |
| Topically relevant to the query space | No, documented mismatch | Partially | Varies | The buyer must select | Yes |
| Only the client is linked; competitors are unlinked | No | No, the publisher controls | Varies | Buyer controls | Yes |
| Content structured for AI extraction | No | No, the publisher controls | Claimed | Buyer must spec | Yes |
| Built on AI query research | No | No | Unknown | Buyer does research | Yes |
What You Pay vs. What You Actually Get
| Provider | Per-placement | Real minimum | Monthly req. | What the money buys |
| Marketplace (DIY) | $15–1,000+ | N/A | None | Publisher access. You supply strategy, research, content specs, and QA |
| FatJoe Brand Mentions | $378 | ~$2,000 | None | Listicle on DR 30+. Off-topic placements documented |
| AI Brand Links (Supporting) | $400 | $400 | None | Query-researched, topically matched, AI-structured. DR 30+/1K+ traffic |
| AI Brand Links (Premium) | $500 | $500 | None | Same methodology. DR 40+/5K+ traffic. 60–70% of portfolio |
| JollySEO Starter | $297 | $4,455 | Retainer, 3 months | Earned publisher placement. No content control |
| JollySEO Premium | $497 | $7,455 | Retainer, 3 months | Same, higher authority sites |
| uSERP | Not published | ~$6,000+/mo | None | Premium editorial. No documented AI methodology |
How We Built AI Brand Links
We didn’t look at what competitors were shipping and add a feature. We started with the research, the six conditions we listed earlier, and worked backward from how AI actually retrieves and cites sources.
Here’s what we take into consideration for each placement:
Format selection. Listicles and comparison content are the only formats AI cites for category queries. So every AI Brand Links placement is a listicle, comparison guide, or structured review. We don’t offer generic blog posts or press-style content for this product. The data says those formats don’t get cited for the queries that matter.
Site selection by retrieval probability. DEJAN’s grounding budget data showed AI works from the top search results. SE Ranking showed the traffic-to-citation correlation. We built a two-tier system: Premium (DR 40+, 5K+ traffic) for commercial queries and Supporting (DR 30+, 1K+ traffic) for long-tail queries, because DR tells us whether a site is in the retrieval window, not because DR matters to AI directly.
Topical authority matching. The 12% cross-platform overlap data showed that high-DR placements without topical relevance are worthless. Every placement site is matched by topical authority to the client’s target query space. A supply chain publication will never host an AI Brand Links placement for an SEO client, regardless of its domain rating.
Competitive signal control. The two-layer model showed that links and mentions operate on different mechanisms. So we designed asymmetric competitive treatment: the client gets a dofollow link and contextual mention (both signals). Competitors are named but never linked (weaker signal only). The competitors we include are intentionally selected to be structurally weaker in AI citation presence.
Content built for extraction. The 1.2M-citation study showed that front-loading matters, entity density matters, statistics matter, and structure matters. Every piece is built against those specs, tables, pros/cons, FAQs, timestamps, author bios, and expert quotes. An 18-item editor QA checklist enforces each element. Word count is driven by entity count, not arbitrary targets.
Query research first. AI generates sub-queries that keyword tools can’t find. Every order starts with query research, identifying high-intent LLM prompts by funnel stage, mapping format type, and entity clusters, before a single word is written. The content targets the queries AI actually asks.
Six conditions. Six design decisions. Each one is traceable to a specific study.
One More Thing Worth Understanding
AI answers change roughly 70% of the time for the same query. Nearly half of the citations get swapped on regeneration. A single placement isn’t a reliable citation source; it’s a lottery ticket.
The value isn’t one placement. Its coverage density: multiple placements across different pages for the same category query, so your brand stays in the retrieval pool often enough that citation probability holds across regenerations.
Low-competition categories need 3–4 placements. Moderate competition: 5–7. High competition: 8–12+. The threshold for consistent citation probability is about 40% coverage of the top-ranking surfaces for your target queries.
That’s the difference between “we got you placed” and “the math is seriously mathing.”
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AI Brand Links starts at $400/placement with no monthly minimum: Order here
Premium placements (DR 40+, 5K+ traffic): $500. Supporting placements (DR 30+, 1K+ traffic): $400. Recommended mix: 70% Premium / 30% Supporting. 6-month placement guarantee. 4–6 week turnaround.
Written by Aaron Haynes on March 16, 2026
CEO and partner at Loganix, I believe in taking what you do best and sharing it with the world in the most transparent and powerful way possible. If I am not running the business, I am neck deep in client SEO.



