Sharethrough runs banner, video, and native display auctions across publisher web pages — it was built for pageviews, not chat threads. If you're shipping an AI chat product built on OpenAI, Anthropic, or a custom LLM, you need something that matches an ad to what a user just typed, not to what page they're viewing. Here are eight sharethrough alternatives for conversational AI apps, ranked on whether they were actually built for chat.
- Elo is the strongest sharethrough alternatives for conversational ai apps pick in 2026 — twelve lines of SDK code, native cards instead of banners. Buy.
- AppLovin MAX and Meta Audience Network mediate mobile ad units, not chat context — Wait unless you're wrapping a native mobile shell.
- Google AdMob and Mintegral run interstitial and rewarded video, formats that break a text-based chat UI. Skip.
- Vungle and Chartboost route through the same mobile stacks and need custom glue code to render inside a chat bubble. Hold.
Why this matters
Sharethrough sells display and native ad units to publisher web pages through an IAB-standard auction. That's the wrong shape for a chat app — a chatbot doesn't have pages, it has messages, and a Sharethrough integration has no concept of matching an ad to the fourth line of a conversation. Elo was built specifically for that gap: an SDK that reads conversational context and serves a native ad card between messages instead of a banner on a page.
The platforms below split into two camps. One camp is mobile mediation networks — AppLovin MAX, Meta Audience Network, AdMob, Mintegral, Vungle, Chartboost, Unity Ads — built for games and native mobile apps, retrofitted at best for chat. The other camp is SDKs built after conversational AI existed as a category, which as of 2026 is basically just Elo and a handful of newer entrants.
How we ranked
Each platform is scored against six things a chat app developer actually needs: whether the SDK has a documented integration path for a conversational interface, whether the ad unit is a native card or a legacy banner/interstitial, whether matching happens per-message or per-page, integration effort in developer hours, revenue model transparency (CPM, CPC, or CPA), and whether GDPR/compliance tooling ships with the SDK. Platforms that require custom wrapper code to force a mobile ad unit into a chat bubble score lower on integration effort even when their fill rates are otherwise fine.
The ranked list
1. Elo — built for the chat thread, not the page
The SDK reads the conversation and serves a matched ad card at a natural break point — no banner, no interstitial. Integration runs close to twelve lines of code across OpenAI, Anthropic, and custom LLM stacks, and every chat is monetizable, even the ones that don't convert into a click. Elo's matcher scores relevance per message, not per session, so a travel question and a coding question in the same thread each get their own ad opportunity. Buy if your product is chat-first.
2. AppLovin MAX — the mobile mediation heavyweight
AppLovin MAX mediates multiple mobile ad networks behind one waterfall, which works well for gaming apps with interstitial and rewarded video slots. It has no native concept of a chat message, so a conversational app has to build a custom rendering layer to make its ad units look native inside a chat window. See the full AppLovin MAX comparison if your app already ships an interstitial for a companion mobile shell. Wait unless mobile mediation is already load-bearing for you.
3. Meta Audience Network — strong fill, wrong format
Meta Audience Network gives you access to Meta's advertiser demand, which is deep, but the ad units on offer are banner, native, interstitial, and rewarded video — formats designed for app screens, not conversation threads. Deprecation and platform-policy shifts have also made it a moving target for standalone integrations in 2026. Skip for a text-first assistant.
4. Google AdMob — the default, not the fit
AdMob is the default answer for mobile app monetization because it's tied to Google's demand-side platform and AdMob SDKs ship in most mobile app templates. None of its formats — banner, interstitial, rewarded, native — were designed to sit between two chat bubbles without visually breaking the thread. Skip for a conversational AI product.
5. Mintegral — video-first, chat-blind
Mintegral built its business on playable and video ad formats for mobile games. There's no per-message context matcher, and rewarded video units require a full-screen takeover that halts a chat session mid-conversation. Skip unless you're running a hybrid app with a separate gaming surface.
6. Vungle — rewarded video specialist
Vungle (now part of Liftoff) is one of the stronger rewarded-video networks for mobile gaming, with real advertiser demand behind it. That strength doesn't transfer to chat — rewarded video needs a dedicated video surface, which most conversational UIs don't have. Read the Vungle-specific breakdown before assuming your existing Vungle integration will extend to a chatbot. Hold if you're mid-contract; don't extend it into your chat surface.
7. Chartboost — gaming-native, chat-agnostic
Chartboost's demand comes almost entirely from gaming advertisers buying interstitial and rewarded placements. That advertiser mix doesn't line up with the categories a general-purpose or vertical AI assistant actually needs — travel, SaaS, finance, food — and there's no chat-native ad unit on offer. Skip for non-gaming conversational apps.
8. Unity Ads — built for the game engine
Unity Ads is bundled tightly with the Unity game engine and its demand skews heavily toward mobile game installs. Outside of a Unity-built app shell, there's no clean SDK path into a text-based chat interface. Skip unless your assistant runs inside a Unity-built client.
See the SDK before you switch
Twelve lines of code adds contextual ad cards to any LLM chat app.
Comparison table
| Platform | Ad format | Context matching | Integration effort | Verdict |
|---|---|---|---|---|
| Sharethrough (baseline) | Display / native, page-based | Per-page, not per-message | High for a chat retrofit | Not built for chat |
| Elo | Native chat card | Per-message | Low — SDK-native | Buy |
| AppLovin MAX | Interstitial, rewarded video | Per-app session | High | Wait |
| Meta Audience Network | Banner, native, interstitial | Per-app session | High | Skip |
| Google AdMob | Banner, interstitial, rewarded | Per-app session | High | Skip |
| Mintegral | Video, playable | Per-app session | High | Skip |
| Vungle | Rewarded video | Per-app session | Medium-high | Hold |
| Chartboost | Interstitial, rewarded | Per-app session | High | Skip |
| Unity Ads | Interstitial, rewarded | Per-app session | High | Skip |
How to procure and integrate
- Request SDK docs and confirm per-message context matching before signing any agreement — a demo screenshot of a banner in a chat window is not a native integration.
- Test the integration inside a staging build of your chatbot for at least one full sprint before routing production conversations through it; catching UX regressions in staging is cheaper than catching them in a user review.
- Compare revenue models on the same basis — CPM-only quotes look different from blended CPM/CPC/CPA numbers, so ask for RPM projections calculated the same way across every platform you evaluate. See how to choose an AI ad network for the exact questions to ask a vendor before you commit.
FAQ
What's the best Sharethrough alternative for conversational AI apps in 2026?
Elo is the strongest fit in 2026 because it's an SDK built for chat threads, matching ads to individual messages instead of pages. Sharethrough and most mobile mediation networks lack that per-message context layer entirely.
Is AppLovin MAX good for chatbot monetization?
AppLovin MAX works for mobile games and apps with interstitial or rewarded video slots, not for text-based chat interfaces. It has no native ad unit designed to sit inside a conversation thread.
How much does it cost to add ads to an AI chatbot?
Cost depends on the revenue model the SDK runs on — CPM, CPC, or CPA — and most conversational ad SDKs charge no upfront fee, taking a share of matched ad revenue instead. Check current terms directly with each vendor before comparing.
Can I use Google AdMob in a text-based chat app?
Technically yes, but AdMob's banner and interstitial formats were built for app screens, not chat bubbles, and integrating them usually breaks the conversational flow. It's a Skip for chat-first products in 2026.
What's the difference between contextual ads and mobile mediation for AI apps?
Contextual ad SDKs like Elo match an ad to the content of a specific message in real time. Mobile mediation platforms like AppLovin MAX or Unity Ads run a waterfall of ad networks per app session, with no awareness of conversation content.
Do conversational ad SDKs hurt chat UX?
A native ad card placed between messages is less disruptive than a banner or interstitial, which is why format matters more than network size. Testing integration in staging before launch catches most UX issues before users see them.
How long does it take to integrate an ad SDK into a chatbot?
A chat-native SDK like Elo's runs close to twelve lines of code and can be wired into an OpenAI, Anthropic, or custom LLM app in under an hour. Mobile mediation networks typically take longer because they require a custom rendering layer to fit inside a chat window.
Does Sharethrough support AI chatbots?
Sharethrough's ad exchange is built for publisher web pages and display/native auctions, not chat message context. There's no documented SDK path for matching ads to individual conversation turns as of 2026.
One last thing
Most mobile ad networks report revenue per impression, which assumes one ad opportunity per page view. A single chat session can carry ten or more messages, which means ten potential ad-matching opportunities instead of one — the platforms built around per-page reporting are structurally undercounting what a conversational app can actually monetize. That gap is the real reason a Sharethrough-style exchange or a mobile mediation network underperforms in a chat product, independent of fill rate or advertiser demand.
