How Social Media Agencies Can Offer AI Visibility as a New Service

How can a social media agency offer AI visibility as a service?

Package it as a monthly retainer: run each client’s real buying questions through ChatGPT and Google Gemini, record how often the brand is mentioned and in what light, then fix the gaps with content and social proof and re-check next month. It bolts onto your existing social work without new headcount.

AI visibility — sometimes called AI search optimization or generative engine optimization — measures whether AI assistants name your client when a prospect asks for a recommendation. It is a genuinely new deliverable, your competitors mostly do not sell it yet, and it maps cleanly onto skills a social media agency already has: understanding an audience, tracking mentions, and producing content.

Why this matters for a social media agency

Your clients’ customers have quietly added a new research step. Nearly 60% of Americans now use generative AI tools for shopping tasks, and among those who do, 61% prefer ChatGPT, with one in four saying its product recommendations beat Google’s, according to an Omnisend consumer survey reported by PR Newswire. That is a channel where your client is either mentioned or invisible — and nobody is watching it for them.

The traffic is real, not theoretical. Adobe found that U.S. web visits from AI-driven referrals grew more than tenfold between July 2024 and February 2025, in its analysis of generative AI referral traffic. For a social media agency competing on retainers, “we also make sure ChatGPT and Gemini recommend you” is a differentiator few rivals can match — and a reason for a client to stay.

There is also a margin story. AI adoption is already standard on your side of the table: 63% of marketers report using generative AI, per Jasper’s State of AI in Marketing 2025. The agencies pulling ahead are the ones turning that adoption into a billable service rather than a private efficiency.

How to launch AI visibility as a service

1. Learn what AI visibility actually measures

Before you sell it, get honest about what the deliverable is. You are measuring mentions and sentiment — how often an AI assistant names your client, and whether it does so favorably — across a set of real prompts. You are not measuring a fixed “rank.” AI answers are non-deterministic: ask the same question twice and the brand list often changes. So the product is a trend over time and a share of voice against competitors, never a single leaderboard position. Set that expectation with clients up front and you will never have to walk back an overpromise.

2. Choose two engines and the right access

Run every client prompt through two engines that behave differently. ChatGPT (web-grounded) searches the live web and cites sources, so it reflects what is discoverable right now. Google Gemini, run as a plain “model-memory” probe, reflects what the model has already absorbed about the brand — a useful signal of long-term reputation. Two engines is enough to be meaningful without drowning the client in noise. Crucially, use each vendor’s official, grounded access — there is no legitimate API for the consumer ChatGPT app, so any tool claiming to track “what your customer sees inside ChatGPT” is scraping, which you should not resell.

3. Build the client’s prompt set

The whole service lives or dies on the prompts. Sit with each client and write 10–30 questions a real buyer would type: “best [service] in [city],” “[competitor] alternatives,” “is [client] any good,” “who offers [specific service] near me.” Include category questions where the client is not named yet — those reveal the biggest opportunities. This is discovery work social media agencies already do well; you are just pointing it at AI assistants instead of hashtags.

4. Run the baseline audit

Run the prompt set through both engines and record, for each answer: was the client mentioned, which competitors were named instead, and what the AI said about them. Do this several times per prompt, because of the non-determinism above, and report mention rates (e.g. “named in 4 of 10 ChatGPT answers”) rather than a single snapshot. This baseline is your first billable deliverable and the anchor every future report compares against.

5. Turn gaps into fixes you already sell

Here is where a social media agency’s existing skills pay off. When the client is missing from answers, the levers are content and credibility: publish clear, answer-shaped pages (an honest FAQ, comparison pages, service pages that state the location and specialty in plain language), earn third-party mentions and reviews on the sites AI engines cite, and keep the brand’s public profiles consistent. You are already producing content and managing social proof — now you are aiming a slice of it at what AI engines read.

6. Package, price, and re-check monthly

Sell it as a recurring line item — a monthly “AI visibility report + action list,” or a bolt-on to an existing social retainer — because the check is meant to be re-run on demand, any day, not a one-time audit. Bill for the baseline, the monthly re-check, and the content work the findings generate. Show the trend line moving and you have a deliverable clients can feel, tied to work you were partly doing anyway.

What to avoid so the service stays honest

A new service is only as good as the claims under it. Never promise a client a stable “ChatGPT ranking” — you cannot deliver a number that doesn’t hold still. Never claim you can see inside a client’s customers’ private ChatGPT sessions; you measure via official web-grounded answers and model probes, and you should say so. Skip the llms.txt shortcut some vendors push — no major AI system is confirmed to fetch it, so it is not a lever worth billing for. And don’t quietly resell a scraper. The agencies that keep this business are the ones whose reports a client could fact-check without embarrassment.

“We added an AI visibility line to three retainers as a test. Two clients upgraded within a quarter just to see the trend keep moving — it made the rest of our work feel measurable.” — Priya Nathan, agency founder (illustrative)

Tooling: manual vs. an all-in-one

You can start manually: keep a spreadsheet of prompts, run them in ChatGPT and Gemini yourself, and log the mentions. That proves the concept at zero software cost, but it does not scale past a couple of clients — the re-checks and the record-keeping become the job.

To run it across a book of clients, an all-in-one built for lean teams saves the grind. ScoutRival checks AI visibility by running your prompts through the same two engines — ChatGPT (web-grounded) and Gemini (a model-memory probe), on demand — records mentions and competitor share of voice, and sits alongside competitor monitoring, an SEO score, content generation, and one-click WordPress publishing on plans from Free to Starter ($29), Pro ($89), and Agency ($149) for up to 5 brands. Full disclosure: ScoutRival is our tool. It is deliberately not a social scheduler — for scheduling posts, pair it with Buffer or Later — but it is built to make an AI visibility service repeatable. See our roundup of the best AI visibility tools for how it compares to alternatives like Profound and others.

To round out the offer, learn how to monitor competitors for every client and how to package white-label marketing reports so the AI visibility data lands in a report clients act on. For more, browse our AI content guides.