Archive for category: AI Marketing

You are here: / / AI Marketing

AI-powered marketing strategy, plays, and playbooks. Articles adapted from Tarek Rimans book 500 Ways to Use AI for Your Marketing Strategy in 2026.

AI Paid Search and Display: 20 Plays for the Platform-AI Era

,

Google Ads is now an AI system. Your job is no longer to configure it — your job is to feed it great inputs and strategic direction. Performance Max, broad match with smart bidding, dynamic search ads, and Google’s recommendation engine have made manual granularity counterproductive. 20 practical moves for paid search and display in the platform-AI era.

Key Takeaways

  • Account structure flipped. Consolidated AI-driven campaigns outperform over-segmented manual structures by 20–30%.
  • Creative volume is now the constraint. PMax campaigns need 20+ headlines, 5+ descriptions, 15+ images.
  • Quality Score lifts compound forever — every CPC reduction is permanent for as long as the keyword runs.
  • Negative keywords typically reclaim 15–25% of budget on most accounts.
  • Conversion tracking audits often reveal real ROAS is 60% higher than reported.

20 Practical Moves at a Glance

# Play Best when Expected result
281 Build AI-optimized campaign structure Over-segmented PPC accounts CAC down 20–30%
282 Optimize PMax asset feeds PMax-dependent campaigns 40%+ ROAS lift
283 Create shopping feed optimization Ecommerce with large SKU catalogs 40%+ shopping ROAS lift
284 Generate display ad creative Display advertising programs ~3x display ROAS
285 Research keyword lists at scale Mid-size PPC accounts ~60% lead volume growth
286 Build negative keyword lists Any PPC account >$5K/month 15–25% waste reduction
287 Launch dynamic search ads Content-rich sites ~20% conversion volume from DSAs
288 Create remarketing display Ecommerce and lead-gen sites ~2.5x remarketing ROAS
289 Optimize ad extensions Any Google Ads account 15–25% CTR lift
290 Design bid strategies PPC with >50 monthly conversions CPA improvement 25–35%
291 Build landing page alignment Any paid media operation ~50% post-click conversion lift
292 Detect click fraud Non-ecommerce lead-gen PPC 5–10% budget reclaimed
293 Audit conversion tracking PPC operations not recently audited Real data reveals real opportunity
294 Manage budget pacing Budget-capped PPC accounts Consistent month-end performance
295 Generate geo and time modifiers Multi-region PPC campaigns ~30% lead volume lift
296 Run brand defense campaigns Established B2B brands Brand-term revenue protection
297 Optimize YouTube ads Video ad platform entries ~40% YouTube CPA reduction
298 Build Discovery/Gmail campaigns Google-heavy PPC accounts New channel at 30% lower CAC
299 Generate app campaign creative Mobile app growth teams ~30% CPI reduction
300 Monitor Quality Score Mature Google Ads accounts 30%+ CPC reduction

Highlights

Build AI-Optimized Campaign Structure

A B2B team had 40+ tightly-segmented campaigns. Consolidating to 8 AI-driven campaigns simplified management 80% while CAC dropped 24% — the algorithm had more data to work with.

Optimize PMax Asset Feeds

PMax is only as good as its inputs. An ecommerce brand enriched feeds from 6 headlines to 22; ROAS lifted 38% in 30 days.

Build Negative Keyword Lists

A SaaS wasted ~22% of PPC budget on irrelevant searches. AI-built negative list cut waste to <5%. Monthly spend redirected: ~$6,800 — equivalent to 170 more qualified clicks per month.

Monitor Quality Score

A B2B account averaging QS 5 raised it to 8 through systematic AI-recommended fixes. CPC dropped ~35% on affected keywords — a compounding benefit that pays back forever.

Frequently Asked Questions

Should I still manage Google Ads bids manually?

Generally no. Smart bidding (Target ROAS, Target CPA, Max Conversions) outperforms manual bidding when you have 50+ monthly conversions per campaign. Fighting platform AI is economically irrational in 2026.

Why does PMax need so much creative?

Platform AI tests creative combinations to optimize delivery. With only 5 assets, AI has nothing to optimize among. With 20+ headlines + 5+ descriptions + 15+ images, AI finds winning combinations you couldn’t have predicted.

What’s the highest-ROI single play?

Conversion tracking audit. Most accounts have 20–40% of conversions untracked due to setup errors. Fixing tracking before optimizing anything else routinely lifts apparent ROAS 60%+ — and makes future optimization decisions correct rather than randomly.

How important are ad extensions?

Very. Sitelinks, callouts, snippets, and call extensions consistently lift CTR 10–20%. They’re free real estate. Refresh extensions quarterly; most teams set them once and never revisit.

Should I run brand defense campaigns?

Yes — competitors bid on your brand terms. Brand defense ads at $3–$5/day typically recover 70%+ of the CTR competitors steal. The math is overwhelmingly favorable for protecting brand-term revenue.

How do I optimize landing pages for paid?

Match message to ad. Audit your top 10 ad-LP pairs; flag misalignment. Most paid programs have great ads driving to weak/mismatched LPs — fixing alignment routinely lifts conversion 40%+ without any new ad creative.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Google Ads Help, Microsoft Ads Help
  • Tools: ClickCease, Optmyzr, AdEspresso

Work With Riman Agency

Riman Agency runs Google Ads + display audits with prioritized fix lists. Get in touch for a 30-day paid search optimization.

Part 15 of our 25-part series. Previous: Marketing Automation. Up next: Paid Social & Performance Creative.

/by

AI Marketing Automation: 20 Plays for Workflow at Modern Scale

,

Workflows matter more than tools. AI agents are moving from task-automation to workflow-automation — and the gap between those two is enormous. Mid-size marketing teams spend 30–40% of their time on operations, not marketing. Done well, automation reclaims 20–40% of team capacity. 20 practical moves for systematic workflow automation across the marketing stack.

Key Takeaways

  • Lead scoring + routing (#261, #262) typically lifts SQL conversion 50%+ within 90 days.
  • Drip campaigns with branching (#264, #265) drive 3–4x more opportunities from same lead volume.
  • Customer onboarding flows move activation rates dramatically — 30%+ improvement is typical.
  • Form intelligence + progressive profiling doubles conversion on previously-long forms.
  • Automation reclaims 20–40% of team capacity — equivalent to 2–3 hires on a 10-person team.

20 Practical Moves at a Glance

# Play Best when Expected result
261 Automate lead scoring B2B sales-marketing alignment ~80% higher close rate
262 Route leads intelligently Teams with 5+ sales reps 20%+ conversion lift
263 Build workflow triggers Teams drowning in manual work ~25 hrs/week reclaimed
264 Design drip campaigns B2B lead nurturing ~4x lead-to-opportunity
265 Create nurture branches Multi-product businesses 3x nurture conversion rate
266 Enrich lead data automatically Sales teams with 5+ reps 80+ hrs/week reclaimed
267 Maintain CRM data hygiene Mature CRMs (50K+ records) CRM cleanup 80%+ automated
268 Automate webinar follow-up Webinar-driven B2B pipeline ~3x webinar pipeline
269 Sync tools across stack Teams with 10+ marketing tools 60%+ data-reconciliation saved
270 Automate sales handoffs B2B marketing-sales handoffs ~50% SQL conversion lift
271 Build customer onboarding flows SaaS with defined activation ~80% activation lift
272 Automate content tagging Large content libraries 3x content reuse
273 Create NPS + feedback automation CX-focused teams ~40% detractor save rate
274 Build win-back automation Subscription and SaaS 15–20% lapsed reactivation
275 Personalize content by behavior Content-led marketing sites ~30% lead conversion lift
276 Automate form intelligence Forms with 5+ fields ~2x form completion
277 Automate meeting prep Sales teams with 3+ reps ~50 hrs/month reclaimed
278 Build SLA monitoring Any SLA-sensitive operation SLA breaches 25% → 3%
279 Trigger demo invitations B2B with high-intent signals ~5x demo acceptance
280 Run compliance checks Regulated industries Compliance incidents avoided

Highlights

Automate Lead Scoring

A B2B SaaS implemented AI-driven lead scoring. Sales time-to-qualify dropped 60% and close rate on accepted leads rose from 12% to 22% — sales focused on high-score leads only.

Build Customer Onboarding Flows

A SaaS had 32% of users reach activation in 30 days. AI-assisted redesigned onboarding brought it to 58% — ~520 more activated users monthly correlating with 40% better month-3 retention.

Automate Form Intelligence

Progressive profiling: ask new fields each time. A B2B’s 9-field form converted at 22%; AI-driven progressive profiling brought conversion to 48%. 240 more leads in 30 days without adding traffic.

Trigger Demo Invitations

Real-time triggers on high-intent signals (pricing page visits). A SaaS triggered demo invites on 2nd pricing visit — acceptance rate: 19% (vs 4% on cold outreach). Monthly demo volume grew 2.8x with no new outbound spend.

Frequently Asked Questions

What’s the highest-ROI automation play?

Lead scoring + intelligent routing. The combined effect on sales conversion is dramatic — 50%+ SQL conversion lifts are typical. Sales focuses on the right leads; bad-fit leads get nurtured instead of wasted.

How is workflow automation different from task automation?

Tasks: “if this, then that.” Workflows: end-to-end multi-step processes with conditional branches. Lead scoring + enrichment + routing + scoring updates = a workflow. AI agents are extending what’s automatable from tasks to workflows.

Which marketing tools should be automated first?

Lead handoffs (marketing → sales), CRM hygiene, reporting assembly, and onboarding flows. These eat the most manual time and have the clearest ROI.

Will automation replace marketing roles?

It’s already shifting them. Operations roles compress; strategy and judgment roles expand. The teams that automate well don’t shrink — they reallocate capacity to strategic work that wasn’t possible before.

What’s the budget for marketing automation?

Highly variable. Mid-market: $5K–$30K/month in tooling. Enterprise: 10x that. ROI typically pays back in months when implemented thoughtfully (not when tools are bought without workflow design).

How do I avoid automation creating bad customer experiences?

Human-in-the-loop for high-stakes interactions. Automate the routine; escalate the unusual. Quarterly review of automated touchpoints to catch drift. The brands automating well are the ones with the cleanest customer experiences, not the messiest.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Tools: HubSpot, Salesforce, Marketo, Customer.io, Iterable, Zapier, Make, n8n, Hightouch

Work With Riman Agency

Riman Agency designs and installs marketing automation workflows. Get in touch for a 30-day automation sprint.

Part 14 of our 25-part series. Previous: Email Marketing. Up next: Paid Search & Display.

/by

AI Email Marketing: 20 Plays for the Highest-ROI Channel

,

Email still has the highest ROI of any marketing channel ($36–$42 per dollar spent). Most marketers still underuse it dramatically. AI changes the game: behavioral segmentation, body-copy personalization, lifecycle flows, send-time optimization — all at scale that was impossible without an enterprise budget. 20 practical moves for turning email from a side channel into a primary revenue engine.

Key Takeaways

  • Email is the only owned audience. Every other channel is rented.
  • Behavioral segmentation routinely 2–3x’s email revenue with the same list size.
  • Cart abandonment flows typically recover $300K–$500K annually for ecommerce.
  • Send-time optimization lifts open rates 30%+ with zero creative changes.
  • Welcome sequences are the highest-leverage 14 days of every new subscriber relationship.

20 Practical Moves at a Glance

# Play Best when Expected result
241 Segment email list with AI Lists of 20K+ subscribers 2–3x email revenue
242 Write subject lines at volume All email programs 30–50% open rate lift
243 Create welcome sequences Any product with trial or signup 60–80% trial conversion lift
244 Personalize email body copy Outbound + nurture email 3x reply rates
245 Design cart abandonment emails Ecommerce with 5%+ cart abandonment 20%+ recovery rate achievable
246 Optimize send-time per recipient Lists of 10K+ varied recipients 30%+ relative open rate lift
247 Build win-back campaigns Lists with 20%+ dormant 10–15% dormant reactivation
248 Draft newsletters in your voice Solo creators and small teams 3x subscriber growth
249 Design transactional email upsells Ecommerce with multiple SKUs 3–5% attach rate on upsells
250 Test email frequency High-frequency email programs 40%+ unsubscribe reduction
251 Build lifecycle email maps SaaS or subscription businesses 3x advocate conversion rate
252 Re-engagement surveys Subscription businesses ~20% churn reduction
253 Create VIP subscriber tracks DTC with high-LTV segment LTV lift 30%+ on VIP segment
254 Personalize by weather / location Physical product retailers ~30% revenue per segmented send
255 Automate post-purchase sequences Any ecommerce business 30%+ repeat purchase lift
256 Craft referral emails Service businesses with satisfied clients 10–15% referral rate
257 Design milestone emails Apps + SaaS with user milestones 2–3x advocate behavior
258 A/B test preview text Mature email programs 20%+ open rate lift
259 Use AMP / interactive emails Events, surveys, interactive needs 4x RSVP completion
260 Deliverability hygiene Lists older than 2 years 2x open rates from clean list

Highlights

Segment Email List with AI

Cluster by behavior, not demographics. An ecomm brand segmented 180K subscribers into 7 behavioral segments — per-segment email revenue grew 2.4x vs one-size-fits-all sends. ~$340K annualized email revenue added with same list and sender.

Design Cart Abandonment Emails

3-email sequence: reminder, objection, incentive. An ecomm brand’s cart abandonment recovery went from 12% to 28% with AI-crafted sequence. Annualized impact: ~$480K in recovered revenue.

Optimize Send-Time per Recipient

An email program averaging 22% open rates deployed AI send-time optimization. Within 60 days, open rates climbed to 29% — a 32% relative lift with zero creative changes.

Build Win-Back Campaigns

A DTC brand had 40K dormant subscribers. AI-drafted win-back sequence reactivated 12% (4,800) over 60 days — generating $84K in direct revenue plus list quality improvements.

Frequently Asked Questions

Why does email still have the highest ROI?

Direct, owned, and durable. The reader explicitly invited you in. As paid acquisition costs rose and social organic reach declined, email’s relative ROI grew. $36–$42 per dollar spent has held steady for a decade.

What’s the most underused email play?

Behavioral segmentation. Most brands send the same email to everyone. Splitting by behavior into 5–7 segments routinely 2–3x’s email revenue. Highest-ROI single change for any mature email program.

Should I use a generic ‘subscribe to my newsletter’ lead magnet?

No. Specific named lead magnets convert 5–10x better. “The 2026 SaaS Pricing Audit Checklist” beats “subscribe to my newsletter” by an order of magnitude on relevant pages.

How often should I send emails?

Test it. Some lists thrive on weekly; others optimal at twice-monthly; some segments tolerate 3x/week. Test frequency by segment; the optimum varies. Sporadic isn’t a strategy at any frequency.

Are open rates still meaningful?

Directional only. Apple Mail Privacy Protection inflates them. Reply rate, click rate, and forward rate are more reliable signals of real engagement.

How do I improve deliverability?

Authenticate (SPF/DKIM/DMARC), use a real reply-to address, clean unengaged subscribers regularly (180-day sunset is standard), avoid spammy patterns, make unsubscribing easy. Most deliverability issues come from list neglect.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Tools: ConvertKit/Kit, Beehiiv, Substack, Klaviyo, Iterable, Customer.io, MailerLite, Mailchimp

Work With Riman Agency

Riman Agency builds email programs from welcome sequence to lifecycle automation. Get in touch for a 30-day email upgrade.

Part 13 of our 25-part series. Previous: Influencer Marketing. Up next: Marketing Automation.

/by

AI Influencer and Creator Marketing: 20 Plays for the Micro-Influencer Era

,

The influencer market matured. Data-driven partnerships with micro-creators beat celebrity bets on every metric that matters. Nano (1K–10K) and micro (10K–100K) influencers consistently outperform on engagement, conversion, and trust. AI makes finding, vetting, and managing portfolios of 10–50 creators feasible at scale. 20 practical moves for systematic creator marketing.

Key Takeaways

  • Micro-influencer ROAS routinely 5–10x; portfolio approach beats celebrity bets.
  • Personalized outreach typically lifts response rates from 4% to 23%.
  • Affiliate programs generate compounding revenue at near-zero upfront cost.
  • Authenticity audits catch fake-follower creators before you waste budget.
  • Match creators to customer segments — different creators for different audiences.

20 Practical Moves at a Glance

# Play Best when Expected result
221 Find micro-influencers with AI DTC brands with modest budgets 5–10x ROAS on micro-influencer spend
222 Draft creator briefs at scale Brands running multiple campaigns 80% fewer re-shoots
223 Generate UGC-style creator scripts High-volume creator programs 40% lower creator production cost
224 Measure influencer ROI rigorously Brands with extensive creator rosters 2x revenue from same spend
225 Build creator databases Agencies running 10+ campaigns 90% faster creator selection
226 Personalize creator outreach Cold creator outreach 5x response rate
227 Negotiate creator rates with data Budget-conscious creator programs 30%+ creator cost reduction
228 Build long-term creator partnerships DTC brands scaling programs 3x content from same spend
229 Co-create content with creators Brand + creator collaborations Viral moment achievable
230 Launch affiliate programs SaaS and DTC with strong margins 5–10% MRR from affiliates
231 Monitor brand-safe creator behavior Brands with many creator partners Avoid brand-safety crises
232 Automate creator content review High-volume creator programs 60%+ content volume lift
233 Build UGC campaigns Consumer brands with visual product 10–15x ROAS on UGC
234 Launch employee advocacy programs B2B with 100+ employees $500K+ pipeline from advocacy
235 Partner with creator podcasts B2B experts and founders 180+ demos from 12 podcasts
236 Host creator summits Brands with 20+ creator relationships Creator retention 60%→90%
237 Run creator content authenticity audits Creator vetting processes ~15% of vettings flag fraud
238 Pair creators with customer segments Multi-segment consumer brands ~30% CAC reduction
239 Build creator referral loops Scaling creator programs Creator network doubled in 12 mo
240 Automate creator performance reporting Agencies managing creators Client retention +20 points

Highlights

Find Micro-Influencers with AI

A beauty DTC identified 80 micro-influencers with genuine audience fit; partnered with 25 at $200–$800 each. Attributable sales: $186K over 90 days — 8x ROAS vs paid social.

Personalize Creator Outreach

An SDR-style approach to creator outreach. A B2B startup’s 4% response rate jumped to 23% with personalized AI-assisted outreach. Of 50 creators contacted, 14 partnered (vs 2 previously).

Launch Affiliate Programs

A SaaS launched 15% lifetime recurring commission. 240 creators enrolled in 8 months; affiliate-attributable MRR grew to $34K/month — 7% of total MRR at zero upfront cost.

Launch Employee Advocacy

A B2B with 180 employees launched advocacy. 60 employees shared consistently; collective LinkedIn reach was 4x the company page’s. Pipeline from employee-shared content: $680K in 12 months.

Frequently Asked Questions

Are micro-influencers really better than celebrities?

For most B2B and most consumer categories, yes. Engagement rates are 5–10x higher; trust is dramatically higher; CPA is fraction of celebrity. Portfolios of 10–50 micro-influencers consistently outperform single-celebrity bets on attributable revenue.

How do I avoid creator fraud?

Run authenticity audits via Modash, HypeAuditor, or Upfluence. 10–15% of creator vettings reveal bot-heavy audiences. The cost of audits ($50–$200 per creator) saves multiples in wasted partnership spend.

What’s a fair micro-influencer rate?

Highly variable by niche, but $100–$2,000 per piece for nano/micro is typical. Use AI to benchmark fair rates against comparable creators. Negotiating with data drops costs ~30% without losing partnerships.

Should I do affiliate or sponsored content?

Both work. Affiliate has zero upfront cost and compounds; sponsored content has guaranteed reach and brand control. Most brands run both: sponsored for top-funnel creators, affiliate for performance-driven creators.

How do I measure creator ROI properly?

Unique promo codes per creator, UTM links, and tracking lifetime value (not just immediate sales). One brand realized 6 of 40 creators drove 68% of revenue — cut 18 underperformers, doubled spend with top 6, total revenue grew 140%.

What’s the highest-ROI creator play?

Long-term partnerships over one-off sponsorships. A DTC food brand locked 4 top creators into 12-month deals — total spend flat but output tripled. Brand-attributable sales from ambassadors: 28% of total.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Tools: Modash, Upfluence, Grin, CreatorIQ, Aspire, Impact, Refersion

Work With Riman Agency

Riman Agency builds creator portfolio strategies for DTC and B2B brands. Get in touch for a 60-day creator program build.

Part 12 of our 25-part series. Previous: Community Building. Up next: Email Marketing.

/by

AI Community Building: 20 Plays for the Only Owned Asset Left in Marketing

,

Owned communities are the only unscalable asset left in marketing — that’s their competitive advantage. Brands with active communities have 2–4x better retention, 30–50% lower CAC via referrals, and dramatically higher LTV. AI makes managing communities feasible at scale: moderation, onboarding, prompt generation, engagement scoring all become manageable for small teams. 20 practical moves for community building that compounds.

Key Takeaways

  • Community is the highest-trust audience layer — above email, above social. Hardest to fake; hardest to copy.
  • The first 50 members determine community culture forever. Be deliberate about who joins early.
  • Three viable models: invite-only (high signal), open public (volume), adjacent (embed in someone else’s).
  • AI moderation handles 90%+ of routine work — community managers shift from firefighting to relationship-building.
  • Compounding kicks in around month 18–24. Stick around long enough to see it.

20 Practical Moves at a Glance

# Play Best when Expected result
201 Build a community charter with AI Any community launch or reset 50%+ WAU lift
202 Moderate content at scale Communities of 5,000+ members 90%+ spam auto-filtered
203 Generate conversation prompts Communities losing momentum 40%+ DAU recovery
204 Identify top community members Communities 500+ members Top 10% drive 60%+ of value
205 Run community engagement scoring Large dormant communities 15% ghost re-activation
206 Personalize community onboarding Communities with signup but no activity 3x first-month retention
207 Create community newsletters Communities with email lists 3x conversion on community members
208 Automate community events Founder-led B2B communities 4x conversion on attendees
209 Build gamification with AI Community-driven DTC or SaaS 3x upgrade rate in top tier
210 Manage community conflicts Large or opinionated communities Conflict duration cut 90%
211 Build community knowledge bases Communities of 1,000+ members ~50% support ticket reduction
212 Surface UGC from community Active user-communities Community as top-of-funnel channel
213 Convert community questions into content Communities with content teams Content volume ~2x
214 Build brand ambassador programs Brands with passionate user base 80% lower CAC via ambassadors
215 Run community surveys with AI Product-community feedback loops 20%+ new signups from insights
216 Create tiered community access Communities with premium content New $5K+/month recurring
217 Build community-led courses Expert-rich B2B communities $150K+ revenue per course
218 Integrate community into product Product-led SaaS 40%+ retention lift on participants
219 Build peer-to-peer learning Professional/learning communities Community NPS +15 points
220 Measure community health Mature community operations Community budget grew 3x

Highlights

Build a Community Charter

Define mission, audience, expected behavior. A B2B startup launched Slack without a charter — chaos within 90 days. Drafting one and re-onboarding members lifted weekly active users 48% in 60 days because people felt safer participating in structured space.

Personalize Community Onboarding

AI classifies new members by role/interest; sends tailored welcome + suggested first actions. A coworking brand’s 18% first-month retention grew to 56% — they keep 3x as many new members.

Build Community-Led Courses

Co-produce courses with expert members; revenue-share. A marketing community produced 4 courses with members — $180K combined revenue, revenue-shared 50/50. Experts promoted community; everyone won.

Build Brand Ambassador Programs

Identify top contributors; formalize advocacy. A creator-tools brand onboarded 35 ambassadors — ambassador-attributable signups: ~180/month at an effective CAC of $12 vs $85 paid CAC. ~$400K/year revenue impact.

Frequently Asked Questions

When should I launch a community?

When you have at least 500 customers or 5,000 newsletter subscribers — enough to seed an active starter community. Below that, focus on building the audience first. The first 50 community members determine culture forever.

Which platform should I use?

Match to where your audience already lives. Discord for tech/gaming/creator; Slack for B2B/professional; Circle/Skool for paid memberships; Substack Chat for newsletter readers; Geneva for lifestyle. Don’t make members download a new app.

How long until community starts compounding?

18–24 months. You’ll see early signals (members quoting your frameworks back) at month 12. Inbound opportunities and self-sustaining growth typically appear at month 24. Stick around long enough.

How does AI help with community management?

AI handles ~85–90% of routine work: moderation, onboarding personalization, conversation prompts, engagement scoring, ticket deflection, knowledge base maintenance. Community managers shift to relationship-building.

Should the community be free or paid?

Most communities should start free. Add a paid tier when you have 1,000+ engaged members and a clear differentiated offer. Premature paid launches cap your free growth at the worst time.

What metrics matter for community health?

Weekly active / monthly active ratio (engagement depth), retention (especially first 30 days), NPS, and referral rate. Followers added is vanity; ratio of WAU/MAU is signal.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Platforms: Discord, Circle, Skool, Slack, Substack Chat, Geneva, Mighty Networks

Work With Riman Agency

Riman Agency designs and launches owned communities. Get in touch for a 90-day community build.

Part 11 of our 25-part series. Previous: Social Media. Up next: Influencer & Creator Marketing.

/by

AI Social Media Strategy: 20 Plays for Brands Acting Like Creators

,

Social rewards creators. Brands that act like creators win. Brands that broadcast lose. Algorithms now favor platform-native, conversational, fast content over polished corporate posts. AI makes high-cadence posting sustainable — a one-person social team can output what a five-person team produced three years ago. 20 practical moves for systematic, voice-driven social presence at scale.

Key Takeaways

  • Pick one primary platform + one secondary. Two done well beats five done poorly.
  • Repurpose every blog post into 5–10 native social pieces — leverage that compounds quickly.
  • LinkedIn thought leadership drives outsized B2B pipeline; cadence + voice + replies are the moves.
  • Optimize for saves, shares, replies, and click-throughs — not likes. Saves weighted 5–10x by algorithms.
  • Social attribution ≠ last click. TikTok and Instagram often contribute as first-touch; track properly.

20 Practical Moves at a Glance

# Play Best when Expected result
181 Plan a month of social content Small teams doing social in-house 2x engagement from consistency
182 Generate platform-native variants Multi-platform content strategies 3x engagement per platform
183 Write scroll-stopping hooks Content-led brand building 5x reach from better hooks
184 Respond to comments fast LinkedIn/IG community managers Response time 6hr → 20min
185 Generate polls and carousels Consultants and thought leaders 4x reach from polls
186 Build LinkedIn thought-leader presence Founders/CEOs with thin presence $1M+ pipeline from LinkedIn
187 Run X/Twitter growth loops Niche expert audience building 15x follower growth
188 Build Instagram Reels factory DTC brands chasing organic reach 8x monthly IG revenue
189 TikTok trend-riding Consumer brands with visual appeal Single trend = 500+ orders
190 YouTube community engagement YouTube channels at 5K+ subs 30%+ video CTR lift
191 Threads strategy Early movers on emerging platforms Zero-cost new acquisition channel
192 Pinterest campaigns Visual products, long-buying-cycle $300K+/year Pinterest revenue
193 Audit social presence with AI Mature social programs 45%+ avg post reach lift
194 Generate hashtag strategy IG/TikTok creators seeking reach ~3x post impressions
195 Design giveaway campaigns Consumer brands seeking list growth $1–$2 CAC on giveaways
196 Run AMAs and live Q&As B2B founders and experts 8% of pipeline from live formats
197 Collaborate across accounts Early-to-mid stage creators 5K–10K new followers/quarter
198 Plan social for product launches Any launch-heavy brand 2–3x launch-day revenue
199 Social crisis response Consumer brands preparing for risk Response 10x faster
200 Track social ROI properly Multi-channel marketing budgets 20%+ CAC reduction

Highlights

Build LinkedIn Thought-Leader Presence

Voice-memo → AI draft → exec edit → daily posts. A CEO went from 5 posts/year to 4 posts/week — LinkedIn-sourced pipeline grew from ~$80K to ~$1.4M in 12 months.

Generate Platform-Native Variants

One idea, 5 native formats (LinkedIn, X, IG, TikTok, YouTube Short). A founder stopped cross-posting and started native variants — engagement grew 3x within 90 days.

Track Social ROI Properly

Last-click attribution lies. A team audited social attribution properly — TikTok was contributing 18% of first-touch conversions despite looking like 0% on last-click. They doubled TikTok budget; total CAC dropped 22%.

Respond to Comments Fast

AI-drafted reply options cut average response time from 6 hours to 20 minutes. Engagement on posts grew 58% as algorithms rewarded the activity.

Frequently Asked Questions

How many platforms should a brand be on?

One primary plus one secondary. Two platforms done well outperform five done poorly. Match platform to where your audience actually lives, what format you naturally produce, and what you can sustain for 18+ months.

What metric should I optimize social for?

Saves, shares, replies, click-throughs to your owned channels. Likes are vanity. On most platforms, saves are weighted 5–10x higher than likes by algorithms. Optimize for the right number.

Is LinkedIn the best B2B channel?

For most B2B in 2026, yes — by a wide margin. Plain text + line breaks + hook in the first 200 characters + link in comments. 3–5 posts/week is the sweet spot. Engagement quality (comments from buyers) matters more than reach.

Should I cross-post identical content?

No. Engagement on cross-posts is significantly lower than native variants. Use AI to adapt one core idea into 5 platform-native versions in minutes — engagement typically lifts 3x per platform vs identical cross-posts.

How does TikTok work for B2B?

For most pure B2B, less directly. For founder-led / personal-brand B2B, TikTok can drive significant pipeline (especially when Shorts are repurposed to YouTube and LinkedIn). The first-touch contribution is often invisible on last-click attribution.

What’s the budget needed to do social well?

Less than you’d think. AI tools cost $50–$300/month. The investment is time, not money. One person with consistent cadence and AI-assisted production can build a meaningful audience in 12 months at near-zero tool cost.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Tools: Buffer, Hootsuite, Hypefury, Typefully, Captions, Descript, Opus Clip

Work With Riman Agency

Riman Agency builds blog-to-social repurposing systems and platform-native variant pipelines. Get in touch for a 30-day social setup.

Part 10 of our 25-part series. Previous: GEO. Up next: Community Building.

/by

Generative Engine Optimization (GEO): 20 Plays to Get Mentioned by AI

, ,

A new discipline is being born in real time. Being cited in ChatGPT, Perplexity, Claude, and Gemini answers is becoming as important as ranking in Google — and the early movers are winning categories. Most brands haven’t started optimizing for AI engines. The window is open in a way that Google SEO hasn’t been open for twenty years. 20 practical moves for becoming the brand AI engines name and recommend.

Key Takeaways

  • AI engines reward direct-answer intros, question-format headings, FAQ/HowTo schema, and entity coverage.
  • Original research and named frameworks are citation magnets — “According to [your brand]” is the most valuable sentence pattern in GEO.
  • Brand entity recognition (Wikipedia, Wikidata, schema, consistent bios) is a 2–3 year compounding investment.
  • Track citation share monthly across ChatGPT, Perplexity, Claude, Gemini — most brands don’t.
  • Start with #162 (track AI engine citations) and #163 (create quotable statements).

20 Practical Moves at a Glance

# Play Best when Expected result
161 Optimize for AI Overviews Any SEO-active content team 30+ AI Overview citations
162 Track AI engine citations Forward-looking marketing teams 40%+ citation share achievable
163 Create quotable statements Category thought-leadership plays ~500 inquiries/year from citations
164 Build answer-engine structure Technical or help content teams 20–25x AI referral traffic
165 Monitor ChatGPT/Perplexity/Claude mentions Brands with outdated AI descriptions 15%+ demo rate lift
166 Optimize FAQ for answer engines Categories with common questions 20%+ FAQs gain AI citations
167 Build topical authority for AI engines Building ownership of a niche 15x inbound in one topic
168 Create original research (citable) PR + thought leadership combined 100+ earned citations per report
169 Structure content for RAG retrieval Technical and developer content 40%+ developer-side discovery
170 Optimize for conversational queries Opening a new acquisition channel 10K+ monthly visits from AI
171 Build brand entity recognition Established but under-recognized brands Brand search impressions +40%
172 Create direct-answer intros All future-facing content teams 3x AI citation rate
173 Use claim-evidence-source pattern Research and data-driven content Top-cited source in your niche
174 Track AI share-of-voice Modern marketing leadership 3x category share-of-voice
175 Correct AI-engine misinformation Brands with inaccurate AI descriptions AI descriptions corrected in 30–60 days
176 Optimize for multi-modal search Image-rich product catalogs 4x visual search traffic
177 Build authoritative landing pages Consultants/experts with niches One page = 40%+ of traffic
178 Generate testimonial-rich content Review-signal-positive categories 45+ AI-sourced demos/month
179 Optimize for voice assistants Local service businesses 8–10x voice-driven calls
180 Create AI-friendly product pages DTC and ecommerce brands 5–7% revenue from AI engines

Highlights

Optimize for AI Overviews

Direct-answer intro (2–3 sentences), question-format H2s, FAQ/HowTo schema, cite original sources. A B2B SaaS restructured 40 high-traffic articles — citations in AI Overviews grew from 3 to 29 in 90 days; AI Overview clicks rose ~6,400 monthly visits.

Create Original Research

Surveys and data reports = citation magnets. An HR-tech startup published a 1,500-person original survey — cited in 140+ articles, LinkedIn posts, and AI engine responses over 18 months. Report downloads: 11,000+, of which 1,200 became qualified leads.

Build Brand Entity Recognition

Wikipedia/Wikidata, consistent NAP, Knowledge Graph entity, structured data. A mid-market SaaS established a Knowledge Graph entity in 4 months; AI engines started naming them correctly — brand search impressions grew 38%.

Create Direct-Answer Intros

First 50 words decide citation. A content team rewrote intros on 60 articles — AI Overview citation rate went from 8% to 31%. Now every new piece is written with AI citation in mind.

Frequently Asked Questions

What’s the difference between SEO, AEO, and GEO?

SEO earns eligibility (being indexed and rankable). AEO earns selection (being cited inside AI answers). GEO earns mention (being named or recommended in generative responses). All three run together; you need each for full visibility.

Why is GEO a 2–3 year play?

Brand entity strength compounds slowly. Wikipedia entries take time to earn. Cross-surface mentions (podcasts, press, Reddit) build over quarters. The brands establishing entity authority in 2025–26 will benefit for years; this is a now-or-never window.

How do I track AI engine citations?

Manually for free (run 25 priority queries weekly across ChatGPT, Perplexity, Claude, Gemini, log results) or via paid tools (Profound, Otterly, BrightEdge AI Catalyst). Manual tracking is sufficient for the first year.

What content gets cited most by AI engines?

Original research, named frameworks, comprehensive guides, FAQ pages with crisp answers, and pages with clear claim-evidence-source structure. Vague summaries and SEO-optimized listicles get cited least.

Should I optimize differently for ChatGPT vs Perplexity?

Slightly. Perplexity is citation-forward and rewards original data and methodology. ChatGPT favors recent content and recognized brands. Build one strong foundation; tune format emphasis per engine.

How do I correct AI misinformation about my brand?

Identify quarterly inaccuracies via manual querying. Publish clear correction content with schema. Earn citations to the correct source. AI descriptions typically update within 30–60 days for high-quality corrections.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Riman Agency AEO 2E series — full 29-chapter playbook
  • Aggarwal et al. — “GEO: Generative Engine Optimization” (arXiv)

Work With Riman Agency

Riman Agency builds GEO programs that compound across years. Get in touch for a 90-day GEO foundation.

Part 9 of our 25-part series. Previous: SEO Fundamentals. Up next: Social Media Strategy.

/by

AI SEO Fundamentals: 20 Plays for Modern Organic Search

, ,

SEO is not dead. It split in two. Classical search still drives real traffic — but it looks different when half your audience is asking AI engines instead of Google. The winning 2026 SEO strategy combines classical discipline (topic authority, internal linking, technical hygiene, structured data) with AI-scale execution (content refresh at scale, entity coverage, meta optimization in bulk). 20 practical moves for organic search that compounds.

Key Takeaways

  • SEO is the eligibility layer for everything else, including AEO and GEO. No SEO foundation = no AI engine ceiling.
  • Topic clusters beat single-keyword pages. AI engines retrieve clusters, not keywords.
  • Content refresh at scale typically lifts existing-page traffic 30–50% with no new content.
  • Entity-based SEO opens long-tail rankings you didn’t directly target.
  • Search Console is the highest-ROI free tool — most teams underuse it dramatically.

20 Practical Moves at a Glance

# Play Best when Expected result
141 Run topic cluster research SEO-driven growth teams 100K+ monthly visits per 3 clusters
142 Run entity-based SEO Content sites with entity-rich topics 50%+ organic lift, no new content
143 Audit existing content Blogs with 300+ articles 40%+ organic lift from refreshes
144 Build internal linking strategy SEO plays needing authority flow 3–5 ranking positions gained
145 Generate meta/alt/schema at scale Mid-to-large content sites 15–20% SERP CTR lift
146 Mine long-tail keywords Competitive categories 3–4x conversion on long-tail
147 Optimize for featured snippets Question-driven content topics 30%+ snippet capture rate
148 Run local SEO optimization Multi-location service businesses 100%+ local leads growth
149 Build E-E-A-T signals YMYL categories 60%+ organic lift on YMYL
150 Update for freshness Content older than 18 months 50%+ organic recovery
151 Run a technical SEO audit Large sites with audit reports 25%+ organic lift from top fixes
152 Research backlink opportunities DR-constrained SEO plays DR up 10+ points, 70%+ traffic lift
153 Analyze competitor backlinks Manual link-building operations 3–4x outreach success rate
154 Do content gap analysis Catching up on SEO parity 30K+ monthly visits recaptured
155 Map URL structure + redirects Site redesigns or migrations 20%+ post-migration recovery
156 Recover broken links Sites with recent migrations 10K+ monthly visits recovered
157 Optimize page speed Slow sites impacting rankings Ranking lift + bounce reduction
158 Audit mobile UX Mobile-majority traffic sites Mobile conversion 1.5–2x
159 Deploy structured data at scale Ecommerce and content sites 20–30% SERP CTR lift
160 Cluster content by search intent Traffic-rich but conversion-poor SEO 60%+ demo request lift

Highlights

Run Topic Cluster Research

Pick a pillar topic. Generate 30–50 subtopics by intent. Build 1 pillar + 10–15 spokes. A B2B HR-tech team built 3 clusters of 15 articles each over 9 months — combined organic traffic: 115,000 monthly visits worth ~$84K/mo in equivalent paid search value.

Audit Existing Content

Classify pages: keep / refresh / merge / prune. A 7-year-old SaaS blog with 800 articles refreshed 48 high-potential pages — organic traffic lifted 41% in 3 months at ~$280K annualized paid search equivalent.

Build Internal Linking Strategy

120 strategic internal links over 6 weeks. Key commercial pages gained 4 ranking positions on average; top target keyword moved from #8 to #3. Free, fast, reliably effective.

Generate Meta/Alt/Schema at Scale

400 pages’ meta data processed in 2 days vs ~3 weeks manually. SERP CTR rose 18% from optimized meta descriptions — adding ~12,000 clicks/month.

Frequently Asked Questions

Is SEO worth investing in given AI Overviews?

Yes — more than ever. SEO is the eligibility layer for AI engines too. Failing at SEO means failing at AEO and GEO. The brands with the best SEO foundations are also the brands most cited by AI engines.

What’s the highest-ROI SEO play in 2026?

Refreshing existing content. Most mature blogs have 40–60% of pages with refresh potential that’s never executed. Refresh ROI consistently beats new-content ROI for libraries over 200 articles.

How are topic clusters different from keyword targeting?

Topic clusters are pillar pages + 10–15 spoke pages all interlinked, covering a topic comprehensively. Modern engines (and AI engines) retrieve clusters, not single keywords. Clusters beat keyword targeting on every modern SEO metric.

Should I still build backlinks?

Yes — but earned through original work, not bought. Highest-yield strategies: original research, free useful tools, guest posts on respected publications. Bought links carry rising risk and falling reward.

What’s the most underused free SEO tool?

Google Search Console. Most bloggers haven’t logged in for 90 days. It tells you exactly which queries you’re ranking for, which pages aren’t indexed, and where Core Web Vitals are slipping. 30 minutes per week is the highest-ROI SEO investment you can make.

How does E-E-A-T affect content?

Especially in YMYL categories (health, finance, law), demonstrable Experience + Expertise + Authoritativeness + Trustworthiness drives ranking. Author bylines, credentials, citations, and original data all serve as signals. Sites investing in E-E-A-T see 50–70% lifts on sensitive topics.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Google Search Central documentation
  • Riman Agency AEO 2E series

Work With Riman Agency

Riman Agency runs SEO + AEO health audits with prioritized fix lists. Get in touch for a 30-day SEO health check.

Part 8 of our 25-part series. Previous: Video & Audio. Up next: GEO — Generative Engine Optimization.

/by

AI Video and Audio Content: 20 Plays for Production at Modern Cadence

,

Video is 80% of social consumption. AI is the only way brands can produce at the volume modern video demands. AI transcription, captioning, auto-editing, avatars, and voiceover all matured into production-ready tools in 2024–25. A single marketer can now script, edit, and publish three Shorts a week. 20 practical moves for systematic video and audio production.

Key Takeaways

  • Repurposing long video to Shorts is the highest-leverage video play — one podcast = 15–20 clips.
  • Auto-captioning lifts video completion rates 40%+ across platforms (most social video is watched muted).
  • Show notes and chapter markers (#125, #126) drive podcast discoverability and listener retention.
  • YouTube SEO + thumbnail optimization (#130, #131) routinely lifts CTR 30–50%.
  • AI voiceover ($200/mo subscriptions) replaces $150/video human voiceover at production scale.

20 Practical Moves at a Glance

# Play Best when Expected result
121 Script short-form videos Founders/experts building audience 25x subscriber growth in 6 months
122 Generate AI avatars for video Multilingual enablement content $40K+ saved on talent costs
123 Repurpose long video to shorts Podcasters/webinar producers 5–6x audience growth rate
124 Auto-caption and translate video Any team producing video 40%+ completion rate lift
125 Create podcast show notes Podcasters with websites 10x organic traffic
126 Generate podcast chapter markers Long-form podcasts (30+ min) 15–20% retention lift
127 Auto-edit raw footage Content creators and video teams 70%+ editing time saved
128 Create AI voiceover narration High-volume video production $50K+/year vs human voiceover
129 Build explainer animation scripts Complex or technical products 60–80% trial conversion lift
130 Generate YouTube title + description YouTube creators of any size ~2x CTR on titles
131 Create video thumbnails YouTube creators seeking growth 30–50% CTR lift
132 Script webinars and live sessions B2B webinar-driven pipeline 2x post-webinar demos
133 Build a video SEO strategy Products needing visual explanation 200+ video-sourced leads/month
134 Create audiograms from podcasts Audio-first creators 3x podcast audience growth
135 Generate training videos Customer education at scale 40%+ faster time-to-activation
136 Repurpose webinars into podcasts Teams with webinar libraries Second audience for same content
137 Create product demo videos Products with long existing demos 30%+ trial signup lift
138 Design testimonial video structures B2B conversion-focused pages 2–3x landing page conversion
139 Build a YouTube Shorts factory Consultants/creators building inbound 6-figure inbound from Shorts
140 Script TikTok/Reels from data Niche experts with data access Single viral = 10+ inbound leads

Highlights

Repurpose Long Video to Shorts

One 60-min podcast → 15–20 Shorts via Opus Clip, Vizard, or Descript. A business podcast turned every episode into 15–20 Shorts; over 12 months, Shorts drove 2.4M views and grew newsletter signups from 200/week to 1,100/week.

Create Podcast Show Notes

AI-generated SEO-optimized show notes with summary, key points, timestamps, quotes. A B2B podcast’s show notes site grew from 1,400 to 18,000 monthly visits in 9 months — became the #2 source of new podcast subscribers.

Generate YouTube Title + Description

10 title + description variants per video; A/B test via YouTube tools. A channel with 50K subs lifted average CTR from 4.1% to 7.8% over 90 days — nearly doubling views per upload with no change in content quality.

Build a YouTube Shorts Factory

5 Shorts/week using systematic process. A consultant did this for 12 months — built 45K subscribers; inbound from Shorts drove 6 new consulting clients worth $180K in fees.

Frequently Asked Questions

What’s the most underused video play?

Repurposing long-form video to Shorts. Teams with podcasts or webinar libraries are sitting on goldmines. AI tools like Opus Clip make 15–20 Shorts per long video economical — 5x audience growth without producing new content.

Are AI avatars ready for production use?

Yes for specific cases — multilingual training videos, narrated explainers, internal enablement. Disclose them. Less suitable for brand-defining hero content where authenticity matters most.

What matters most for YouTube growth?

Title and thumbnail (90% of CTR), then first 30 seconds (retention). AI tools optimize all three at scale. The compounding effect over 50–100 videos is substantial.

Should I add captions to all video?

Yes. Most social video is watched muted; captions lift completion rates 40%+. Auto-captioning tools (Descript, CapCut, Captions) make this trivially cheap.

How do I get podcast distribution?

Show notes drive SEO; chapter markers improve retention; audiograms unlock social discovery; transcripts feed AI engines. The “podcast → 8 derivative content pieces” pipeline is what scales podcasts beyond their immediate listener base.

What’s the budget for AI video production?

$50–$200/month for tools (Descript, Opus Clip, ElevenLabs). Replaces what was previously $5K–$15K per video in agency costs. ROI typically pays back in the first month.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Tools: Descript, Opus Clip, Vizard, ElevenLabs, HeyGen, Riverside, Captions

Work With Riman Agency

Riman Agency builds video repurposing pipelines for content teams. Get in touch for a 30-day video factory build.

Part 7 of our 25-part series. Previous: Visual Content. Up next: SEO Fundamentals.

/by

AI Visual Content and Design: 20 Plays for Brand-Consistent Production at Scale

,

Visual production costs collapsed one-hundred-fold in two years. Visual strategy is now the differentiator — not budget or production capacity. AI image and design tools (Midjourney, Firefly, DALL·E, Flux, Ideogram, Canva Magic) passed the commercial threshold in 2024–25. The new constraint is cohesive visual strategy. 20 practical moves for using AI to produce consistent, on-brand visuals at scale.

Key Takeaways

  • Pick one image generator and master it. Style consistency builds brand recognition; tool-hopping fragments it.
  • Original charts and data viz are the highest-leverage visual asset — AI engines cite them disproportionately.
  • Stock photography is now a “slop signal.” AI-generated brand imagery outperforms it on engagement.
  • AI video is good for short clips and edits — not for replacing real video at long form.
  • Always disclose AI-generated images. Trust beats stealth in 2026.

20 Practical Moves at a Glance

# Play Best when Expected result
101 Generate on-brand AI imagery Brand-heavy creative orgs 90%+ cost reduction vs stock
102 Create social graphics at scale Small teams without in-house design 3 weeks → 1 afternoon
103 Design presentation decks with AI Leaders giving frequent talks 10x faster deck production
104 Build infographics from data Data-rich PR and reports 3–5x amplification vs full report
105 Generate diverse stock-alternative visuals Brands tired of stock-photo sameness 25–35% engagement lift
106 Create product mockups Apps, SaaS, consumer products $10K+ saved per shoot
107 Design email hero images Email-heavy marketing programs 20%+ email CTR lift
108 Build brand style guide with AI Mid-stage companies lacking docs $20K+ design agency fees saved
109 Generate UI mockups Pre-launch product marketing Marketing ships before product
110 Create before/after visuals Transformation-based products 3x CTR on transformation creative
111 Design data visualizations Research and reporting content 3x shares on data content
112 Build carousel posts LinkedIn B2B brand-building 4–5x reach vs text posts
113 Create meme-style content Developer, creative, youth audiences Viral moments on zero budget
114 Generate Pinterest-optimized pins Recipe, home, craft, DIY verticals 40%+ of traffic from Pinterest
115 Design case study visuals B2B sales-enablement content 3–4x case study reach
116 Build quote cards programmatically Podcasters and interview creators Weeks of content from one hour
117 Create animated explainers Product explanation needs $10K+ and 5 weeks saved
118 Generate lookbook content (DTC) Seasonal DTC and fashion 98%+ cost reduction vs shoot
119 Design email newsletter templates Consistent high-volume email ~20 hrs/month reclaimed
120 Build event marketing visuals Events with modest creative budget $10K+ saved per event

Highlights

Generate On-Brand AI Imagery

Build a visual style guide (palette, mood, composition) and include it in every prompt. A DTC brand replaced 60% of stock photo usage, dropped monthly visual cost from $4,800 to $420 — and AI-generated visuals outperformed stock 1.8x in ad CTR.

Create Social Graphics at Scale

One afternoon = a month of social visuals using Canva Magic, Adobe Express, or Figma plugins. A 2-person marketing team produced 60 graphics across 3 channels in one session — work that previously took 3 weeks of freelancer back-and-forth.

Build Infographics from Data

Turn 40-page reports into one shareable infographic. A B2B research team did this — got 5,200 LinkedIn shares, picked up by 3 industry publications, drove 12,000 report downloads in 60 days.

Build Carousel Posts

10-slide LinkedIn carousels with consistent typography. A B2B consultant began posting 2/week — profile views grew 8x in 4 months, inbound messages went from 1 to 14/week.

Frequently Asked Questions

Which AI image generator is best?

It depends on use case. Midjourney for aesthetic quality and mood; DALL·E for speed and simple concepts; Imagen for photorealism; Flux for customization and style training; Ideogram/Recraft for posters with text. Pick one and master it — consistency beats novelty.

Should I still use stock photography?

Generally no. Stock has become a “slop signal” by 2026 — readers recognize and discount it. AI-generated brand-consistent imagery outperforms generic stock on engagement and feels more on-brand.

What’s the highest-ROI visual asset to invest in?

Original charts and data viz. AI engines cite them as evidence; other writers screenshot them with credit; they signal you’ve done real work. Run one mini-survey per quarter and you’ll have four citation-worthy chart posts a year.

Can AI video replace real video?

Not yet for long-form (over ~30 seconds). Useful for short hooks, animated explainers under 60 seconds, and edits of real footage. Most-watched video content on social still involves a real person on camera.

Do I need to disclose AI-generated visuals?

Yes. Caption with “Image generated with [tool].” Never depict real people without consent. Never present AI footage as documentary. Disclosure is a trust signal in 2026 — hiding AI use carries far more risk than disclosing it.

How do I build visual brand consistency with AI?

Three habits: pick a 3–5 color palette, settle on a style descriptor you reuse in every prompt, maintain a style guide page with sample images and prompt notes. After 6 months of consistent style, your visuals become recognizable from the thumbnail.

Sources & Further Reading

  • Tarek Riman — 500 Ways to Use AI for Your Marketing Strategy in 2026
  • Tools: Midjourney, Firefly, DALL·E, Flux, Ideogram, Canva Magic, Datawrapper, Flourish

Work With Riman Agency

Riman Agency builds visual identity systems for content teams. Get in touch for a 14-day visual upgrade.

Part 6 of our 25-part series. Previous: Copywriting. Up next: Video & Audio Content.

/by
Skip to Accessibility Panel