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agency · 8 use cases

Top agentic AI use cases for marketing agencies in H2 2026

Brands now research agencies through AI answer engines, regulators and platforms now expect AI-made ads to be labelled, and Google’s campaigns automate more of the work. These eight use cases respond to what changed in 2025 and 2026.

Which agentic AI use cases should agencies prioritise in H2 2026?Agencies should prioritise agentic work that follows the 2025 and 2026 changes: selling AI search visibility audits, getting the agency itself named in AI answers, checking AI labels on client creative before EU, US and Indian rules bite, auditing client review programmes under UK and US fake-review rules, and reviewing what Google’s AI Max and Performance Max now automate.

AI search visibility audits sold as a client service line

Pew Research Center found in 2025 that Google users clicked a result link on 8% of visits when an AI summary appeared, against 15% without one, and clients now ask whether ChatGPT, Gemini and Google AI Mode name them. DRIS runs the prompt audit per client and drafts the fixes the agency sells as a retainer.

A retail client asks why competitors appear in AI answers and it does not. DRIS runs the agreed buyer prompts across ChatGPT, Gemini, Perplexity and Google AI Mode, records which brands are named and which pages are cited, and drafts fixes: clearer product facts, an FAQ page, a stronger comparison page. The SEO director approves the audit and every fix before the client sees it, and the monthly re-run shows whether citations moved.
a scene from the weekSEO director at a search and content agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerAgree a set of buyer prompts per client: category, best-of, comparison and local questions.
  2. Run them each month across ChatGPT, Gemini, Perplexity and Google AI Mode, recording brands named and pages cited.
  3. Compare against the client’s competitors to find the prompts and sources the client is missing.
  4. Draft fixes: plain facts in page text, FAQ answers, comparison pages and third-party profiles to update.
  5. Approved by SEO directorThe SEO director approves the audit and each proposed fix before it is shared with the client.
  6. Publish approved fixes on the client’s site and re-run the prompts to log whether citations moved.
in the roomAIDRISPeopleSEO directorTry this workflow
connects toChatGPT, Gemini, Perplexity and Google AI Mode, Google Search Console, Semrush or Ahrefs, WordPress or Webflow
measure it byShare of answers naming the client, Citations to the client’s domain, Retainer revenue from AI visibility work

Guardrail. Google says AI Overviews and AI Mode need no special markup or AI text files, so sell measured content and technical fixes, never a guaranteed citation.

Getting the agency named when brands ask AI for an agency

Forrester’s State of Business Buying 2026 found generative AI tools were the most cited meaningful interaction type for B2B buyers researching purchases in 2025, so brands increasingly start an agency search in an AI engine. DRIS tracks which agencies the engines name for your specialisms and cities, and MIRA closes the gaps in the pages and profiles they draw on.

Brand managers now ask AI engines for the best agency in their category and city. DRIS runs those prompts weekly and finds the agency missing from answers about its strongest specialism. MIRA drafts fixes: a services page stating what the agency does and for whom, an updated Clutch profile and an approved case study page. The marketing lead approves every change and claim, and enquiries now record whether the brand found the agency through an AI answer.
a scene from the weekMarketing lead at an independent creative agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerAgree the prompts brands use to find agencies: specialism, sector, city and “best agency for” questions.
  2. Run them weekly across ChatGPT, Gemini, Perplexity and Google AI Mode and record which agencies are named and cited.
  3. Find the pages, directories and review profiles the engines draw on where the agency is weak or absent.
  4. Draft fixes: services and sector pages in plain text, approved case studies and updated directory profiles.
  5. Approved by Agency marketing leadThe agency marketing lead approves every page change and claim before it is published.
  6. Ask every new-business enquiry how they found the agency and log AI answers as a source in the CRM.
in the roomAIMIRA with DRISPeopleAgency marketing leadTry this workflow
connects toChatGPT, Gemini, Perplexity and Google AI Mode, Clutch and Google Business Profile, WordPress or Webflow, HubSpot or Salesforce
measure it byShare of answers naming the agency, Enquiries sourced from AI answers, Pitch shortlists joined from inbound

Guardrail. State only results clients have approved for publication, and never write or buy reviews on directory profiles: the FTC’s rule bans fake reviews in the US, including AI-generated ones.

AI label checks on client creative before it is trafficked

AI labelling moved from good practice to rule: Meta shows “AI info” labels on ads, India amended its IT Rules on synthetically generated content in February 2026, EU AI Act transparency duties apply from 2 August 2026, and ASCI’s labelling guidelines take effect on 29 December 2026. CREA checks every asset against each market’s rule before it ships.

A client campaign running in India, the UK and Germany includes AI-generated backgrounds, a synthetic voiceover and a realistic AI scene. CREA logs how each asset was made, checks it against ASCI’s labelling guidelines and the EU AI Act, and proposes the label and placement per market. RUPA keeps provenance metadata intact on every image. The creative operations manager approves each labelling decision before trafficking, bringing in the client where the call is close.
a scene from the weekCreative operations manager at a multi-market creative agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerLog every asset with how it was made: shot, edited, AI-enhanced or AI-generated, and with which tool.
  2. Classify each for the markets it will run in: no label needed, label required, or not allowed even with a label.
  3. Propose the label wording and placement, such as “Video created using AI” in India, and the AI disclosure setting on each platform.
  4. Keep provenance metadata such as C2PA content credentials intact through editing and export.
  5. Approved by Creative operations managerThe creative operations manager approves the labelling decision for each asset, with the client where the call is close, before trafficking.
  6. Store the decision and its reason with the asset so the client has a record if a regulator or platform asks.
in the roomAICREA with RUPAPeopleCreative operations managerTry this workflow
connects toAdobe Firefly or Photoshop, Meta Ads Manager, Frame.io or Google Drive, Campaign trafficking sheet
measure it byAssets with a recorded labelling decision, Ads rejected or relabelled by platforms, Time from final cut to trafficking

Guardrail. ASCI treats fabricated endorsements and deepfakes as prohibited even when labelled, and Meta detects third-party AI edits through industry-standard signals, so never strip provenance metadata to avoid a label.

free guide and deckEvery agency use case on these pages, with its workflow drawn, to share with your team.Get it free ↓

AI presenters and synthetic voices in client video, disclosed

New York’s synthetic performer law took effect on 9 June 2026, requiring a conspicuous disclosure in ads that use an AI-generated performer, and EU AI Act Article 50 requires deep fakes to be disclosed from 2 August 2026. Alpha produces avatar and voiceover versions of client videos with consent records and disclosures built in.

A client wants its product video in several languages with an AI presenter. Alpha produces each version from the approved script, using a licensed stock avatar and synthetic voices, and CREA adds the disclosure each market needs, including New York’s synthetic performer notice. Where a real spokesperson’s likeness or voice is used, the signed consent is attached first. The video producer approves each version and its disclosure before delivery.
a scene from the weekVideo producer at a performance creative agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerAn approved script and market list arrive for a video needing an AI presenter, a cloned voice or translated versions.
  2. Confirm the rights: a licensed stock avatar, or signed consent from any real person whose likeness or voice is used.
  3. Produce each version from the approved script and footage, adding no new claims in translation.
  4. Add the disclosure each market needs and set the AI disclosure on each platform upload.
  5. Approved by Video producerThe video producer approves each version, its consent record and its disclosure before delivery to the client.
  6. Deliver with a record of rights, consent and disclosure for each version.
in the roomAICREA with AlphaPeopleVideo producerTry this workflow
connects toSynthesia or HeyGen, ElevenLabs, Adobe Premiere Pro, Frame.io
measure it byVersions delivered per approved script, Cost per localised version, Versions with a complete rights and disclosure record

Guardrail. New York requires a conspicuous disclosure for synthetic performers in ads, with civil penalties per violation, the EU AI Act requires deep fakes to be disclosed, and ASCI treats use of a person’s likeness without consent as prohibited.

Review programme audits across clients under fake-review rules

The UK’s DMCC Act banned fake and concealed incentivised reviews from April 2025, with CMA guidance published that month, and the FTC’s rule bans fake reviews, including AI-generated ones, and incentives tied to a sentiment. Echo audits how each client asks for, shows and answers reviews, then drafts replies within the rules.

The agency manages reviews for many local clients. Echo audits each one: how review requests are sent, whether incentives are disclosed, whether any client asks only happy customers, and which reviews look suspicious. It drafts replies to new Google and Trustpilot reviews in each client’s voice. The reputation lead approves the audit findings and every public reply, and clients whose practices need changing get a written fix list.
a scene from the weekReputation lead at a local marketing agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerList every client whose reviews the agency requests, displays or replies to.
  2. Audit how requests are sent, whether incentives are disclosed and whether any customers are filtered out before being asked.
  3. Flag suspicious reviews, gaps between displayed and actual ratings, and staff reviews posted without disclosure.
  4. Draft replies to new reviews on Google Business Profile and Trustpilot in each client’s voice.
  5. Approved by Reputation leadThe reputation lead approves the audit findings and each public reply before it is posted or sent to the client.
  6. Send each client a fix list and re-audit after the changes are made.
in the roomAIEchoPeopleReputation leadTry this workflow
connects toGoogle Business Profile, Trustpilot, Birdeye or Podium
measure it byClients with a compliant review process, Median time to reply to a review, Review volume and recency per client

Guardrail. Never write, buy or sentiment-gate reviews: UK law bans fake and concealed incentivised reviews, and the FTC rule bans fake reviews and incentives conditioned on a positive or negative sentiment.

A website assistant that qualifies new-business enquiries as AI

From 2 August 2026, Article 50 of the EU AI Act requires that people are told when they are interacting with an AI system, unless it is obvious. Convexa answers a prospective client’s questions about services, sectors and process from approved content, says it is AI, qualifies the brief and books a call with the right person.

Late on a Friday, a brand manager opens chat on the agency’s services page. Convexa says in its first message that it is AI, answers questions about services, sectors and how the agency works from approved content, and asks about budget range, timing and channels. A qualified brief gets a call booked in the right director’s calendar. The managing director approves the answer library and qualification rules, and every transcript lands in HubSpot.
a scene from the weekManaging director of a growth-stage digital agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerA visitor opens chat on the agency’s website or replies to a contact form.
  2. Disclose in the first message that the assistant is AI, then answer only from approved services, sector and process content.
  3. Ask the agreed qualifying questions: services needed, budget range, timing and decision makers.
  4. Offer a call with the right director to qualified briefs and a useful resource to the rest.
  5. Approved by Managing directorThe managing director approves the answer library, qualification rules and handoff criteria before any change goes live.
  6. Book the call in the director’s calendar and write the transcript and brief to the CRM.
in the roomAIConvexaPeopleManaging directorTry this workflow
connects toWebsite chat, HubSpot or Salesforce, Google Calendar or Outlook
measure it byQualified new-business calls booked, Enquiry to call conversion, Questions answered without escalation

Guardrail. Disclose AI at first contact as EU AI Act Article 50 requires, and never let the assistant quote fees, promise results or name clients beyond the approved library.

A per-client AI use and data register ahead of the DPDP Rules

India’s DPDP Rules, notified on 13 November 2025, bring data fiduciary duties, including contractual safeguards for data processors, from 13 May 2027, and EU AI Act transparency duties apply from 2 August 2026. RIVA, our revenue operations teammate, is coming soon. It will keep one register per client of the data and AI tools the agency uses on its behalf.

A client’s procurement team asks which AI tools touch its data and where its customer lists go. RIVA, coming soon, will keep a register per client: the data the agency receives, the tools and agents that process it, the AI tools used in creative, and the contract terms that allow each. It will flag any use the contract does not cover. The operations director approves the register and every fix before it is shared.
a scene from the weekOperations director at an independent agency group. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerFor each client, list the personal data the agency receives: customer lists, CRM access, form leads and analytics.
  2. Map each data set to the tools and agents that process it, and note the AI tools used in that client’s creative.
  3. Check each use against the client contract and data processing terms, and flag anything not covered.
  4. Draft the client-facing summary and any contract update or data deletion needed.
  5. Approved by Operations directorThe operations director approves the register, each fix and the client summary before it is shared.
  6. Re-run the check whenever a tool, a client contract or a rule changes.
in the roomAISERA with RIVA (coming soon)PeopleOperations directorComing soon
connects toContract and DPA library, Google Ads and Meta audiences, HubSpot or Salesforce, OneTrust or another consent platform
measure it byClients with a current data and AI register, Data uses outside contract terms, Time to answer a client’s data questionnaire

Guardrail. Treat the DPDP Rules dates as deadlines for client contracts in India, use a client’s data only as its contract instructs, and never put client data into an AI tool the contract does not allow.

AI Max and Performance Max reviews across client accounts

Google added AI Max for Search campaigns, which expands matching beyond keywords and generates ad text, and in 2025 opened search terms reporting and shared negative keyword lists to Performance Max. NIA audits what the automation does in each client account and drafts the exclusions and brand controls the paid search director approves.

A client’s Search campaign has AI Max switched on, and cost per lead is drifting. NIA reads the search terms report by match source, finds queries for a rival’s brand and landing pages the client never meant to promote, and checks the Performance Max search terms for the same leak. It drafts brand exclusions, URL exclusions and a shared negative keyword list. The paid search director approves the changes before they apply.
a scene from the weekPaid search director at a performance agency. Illustrative, built from this workflow, not from a client.

the workflow, in one room

  1. TriggerEach week, pull the search terms report for every client campaign using AI Max or Performance Max.
  2. Separate queries matched by AI Max from keyword matches and compare cost per conversion.
  3. Review generated headlines and expanded final URLs against the client’s approved claims and pages.
  4. Draft brand exclusions, URL exclusions and shared negative keyword lists with the evidence for each.
  5. Approved by Paid search directorThe paid search director approves exclusions, budget moves and any setting change before it is applied.
  6. Apply approved changes and report the effect to the client in the next monthly report.
in the roomAINIAPeoplePaid search directorTry this workflow
connects toGoogle Ads, Google Ads API, Looker Studio
measure it byCost per conversion by match source, Spend on off-brand or excluded queries, Generated assets removed for off-brand claims

Guardrail. Keep AI Max text customisation and final URL expansion inside the client’s approved claims and pages, and use brand controls so automation never serves ads beside brands the client has not approved.

Frequently asked questions

What changed for agencies in 2025 and 2026?

Buyers moved research into AI engines, and Pew found fewer clicks when an AI summary appears. AI labelling became a rule: EU AI Act transparency duties from 2 August 2026, New York’s synthetic performer law from June 2026 and ASCI’s labelling guidelines from 29 December 2026. The UK also banned fake and concealed incentivised reviews in April 2025.

Who labels AI-generated ads: the agency or the brand?

Plan for both. ASCI’s guidelines apply to advertisers and expect them to coordinate disclosures with agencies, and New York’s law covers whoever produces or creates the ad knowing it includes a synthetic performer, which can include an agency. Agree in the contract who decides the label and who keeps the record.

Can an agency sell AI search visibility work honestly?

Yes, if it sells measurement and fixes rather than guaranteed placement. Google says AI Overviews and AI Mode need no special markup, so the work is clearer content, accurate facts and better third-party profiles, tracked by re-running the same prompts each month.

Which of these should an agency start first?

Start with the dated ones: AI label checks on client creative and a website assistant that says it is AI. Run AI search audits alongside, because clients are already asking about them. The per-client data and AI register will follow on RIVA, coming soon.

sources

  1. Pew Research Center: Google users are less likely to click on links when an AI summary appears (2025)
  2. Google Search Central: AI features and your website
  3. Digital Commerce 360: Forrester on how B2B buyers use AI in 2026 (2026)
  4. Cooley: EU AI Act transparency obligations take effect 2 August 2026 (2026)
  5. Meta: Expanding GenAI transparency for Meta’s ads products (2025, updated 2026)
  6. Khaitan & Co: ASCI guidelines on labelling synthetically generated content in advertising (2026)
  7. Cooley: New York enacts synthetic performer disclosure law for advertisements (2026)
  8. FTC: Final rule banning fake reviews and testimonials (2024)
  9. CMA: Fake reviews guidance, CMA208 (2025)
  10. Google Ads Help: AI Max for Search campaigns
  11. Google Ads Help: More visibility and control in Performance Max (2025)
  12. SCC Online: MeitY notified Digital Personal Data Protection Rules, 2025 (2025)

free guide

18 AI agent use cases for Marketing & Creative Agencies

Every workflow on these pages as a designed guide and a presentation deck, ready to share with your team: a scene from the week, the workflow drawn with its approval gate, the systems it connects to and how to measure it. Light and dark editions, updated every month.

  • Top 10 sales and marketing use cases for AI agents in marketing agencies
  • Top agentic AI use cases for marketing agencies in H2 2026
  • Who is in the room: your AI team for agency and the people who approve
  • The guardrails and the rules they come from, with sources

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