Be the brand ChatGPT recommends — by name — in your category's commercial prompts.
ChatGPT is now the #1 generative engine influencing buyer research. But ranking inside ChatGPT is nothing like ranking on Google. We engineer the third-party citation graph (Reddit, G2, YouTube, editorial), entity authority, and SearchGPT freshness signals that move the model — and we measure citation lift weekly so you see the work compound.
Brands keep optimizing the wrong layer — owned content instead of third-party trust.
We've audited 60+ brands' ChatGPT performance. The pattern is consistent: heavy investment in blog content and technical SEO, near-zero investment in the citation surfaces ChatGPT actually weighs. Here's the gap.
- Content-first strategy underperforms
Brand-owned content rarely makes it into ChatGPT's commercial recommendations. Reddit, G2, YouTube, and editorial mentions do.
- Review velocity is a citation signal
G2 categories with high recent review volume disproportionately surface in ChatGPT product comparisons. Most brands run review programs at 1/4 the velocity needed.
- Reddit is the unfair advantage
ChatGPT cites Reddit threads constantly for category research. Brands without a credible, non-spammy Reddit presence are invisible in the synthesized answer.
- SearchGPT is a separate surface
The browse-enabled mode pulls fresh editorial citations Google would never rank. Optimizing for it requires a different content + PR rhythm entirely.
Ranking #1 on Google means nothing if ChatGPT recommends a competitor by name.
ChatGPT does not synthesize the same sources Google ranks. It leans heavily on community trust signals — Reddit threads, G2 reviews, YouTube reviewer transcripts, Wikipedia, and a small set of editorial publications. Brands optimized only for traditional SEO frequently appear nowhere in the answer, while smaller competitors with strong third-party citation footprints get recommended every time.
Your blog posts aren't the source of truth
ChatGPT rarely cites brand-owned content for commercial recommendations. Reddit threads, G2 listings, and reviewer YouTube videos do most of the heavy lifting.
Outdated training data is misrepresenting you
If your last category-defining content is two years old, ChatGPT is recommending you with stale positioning, old pricing, and discontinued product lines.
SearchGPT changed the game again
The browse-enabled mode pulls live citations from a different ranking surface entirely. Most brands have zero strategy for the live-retrieval layer.
Branded prompts return competitor names
When users prompt 'best [your category] tools', the answer is a list — and your brand isn't on it. That's lost pipeline you can't see in any traditional analytics tool.
A 90-day program engineered around how ChatGPT actually ranks brands.
- 01
ChatGPT citation audit
Weeks 1–2We map your top 200 commercial prompts across GPT-4o, GPT-5, and SearchGPT — logging citation presence, position, sentiment, and competitor mentions per prompt.
- 02
Third-party signal map
Weeks 2–3We reverse-engineer which Reddit subs, G2 categories, YouTube channels, and editorial outlets ChatGPT actually pulls from for your category — the real source of truth.
- 03
Citation seeding sprint
Weeks 3–8Targeted Reddit AMAs, G2 review velocity programs, YouTube reviewer outreach, and editorial placement on the publications ChatGPT trusts most.
- 04
Entity & freshness work
Weeks 4–10Wikipedia/Wikidata entity unification, schema cleanup, and a quarterly cadence of category-defining content that SearchGPT can retrieve live.
- 05
Weekly re-prompting
OngoingContinuous citation tracking across all three ChatGPT surfaces with regression alerts and monthly senior-strategist interpretation.
AdWave ChatGPT Recommendation Engine
Six layers engineered around how GPT-4o, GPT-5, and SearchGPT actually choose which brands to name.
Prompt & Surface Mapping
Top 200 commercial prompts mapped across GPT-4o, GPT-5, and SearchGPT — each surface ranks differently and is optimized differently.
Reddit Authority
Credible, value-first participation in the subs ChatGPT trusts most for your category. AMAs, expert threads, and resource posts engineered for citation pickup.
G2 / Capterra Velocity
Review velocity programs that move category badges and trigger 'best of' synthesis without violating any platform policy.
YouTube Reviewer Network
Outreach to the reviewer channels ChatGPT cites by transcript — placements that show up in commercial recommendations within 4–8 weeks.
Editorial & Wikipedia
Placements on the editorial publications ChatGPT weights heavily, plus Wikipedia/Wikidata entity unification for long-term authority.
SearchGPT Freshness Layer
Quarterly category-defining content + schema discipline so SearchGPT's live retrieval consistently surfaces your brand.
Every engagement ships these as the baseline.
Top 200 commercial prompts scored across GPT-4o, GPT-5, and SearchGPT.
Reverse-engineered Reddit, G2, YouTube, and editorial sources ChatGPT actually pulls from for your category.
AMAs, expert threads, and resource contributions in the subs ChatGPT trusts.
Compliant review acceleration engineered for category badges and 'best of' synthesis.
Targeted placements with the channels ChatGPT cites by transcript.
Bylines and feature placements on the publications ChatGPT weights heavily.
Entity unification, infobox cleanup, and authoritative source seeding.
Quarterly category-defining content with schema discipline for live retrieval.
Per-surface citation logging with sentiment scoring and regression alerts.
Senior strategist call with prompt taxonomy refresh and CMO-ready summary.
Branded recommendation rate on commercial prompts — 90-day arc.
Cross-engagement median: brands move from <15% recommendation rate on tracked commercial prompts to 55–70% within 90 days, with SearchGPT pickup leading the curve after editorial placements.
Recommendation rate, not ranking, is the metric that matters.
Across 40+ engagements, the brands that win in ChatGPT share one pattern: they invest in third-party citation velocity (Reddit, G2, YouTube, editorial) at 4–6x the rate they invest in owned content. Within 90 days, branded recommendation rate on commercial prompts typically moves from <15% to 55–70% — and SearchGPT live citations follow within 2–3 weeks of each editorial placement.
Branded recommendation rate across the top 200 commercial prompts in your category — measured weekly across GPT-4o, GPT-5, and SearchGPT.
Traditional SEO vs. ChatGPT visibility — different game, different playbook.
Brands that try to win ChatGPT with their existing SEO playbook consistently lose. Here's why.
ChatGPT visibility pays back fastest for brands buyers actively research.
B2B SaaS founder or CMO in a competitive category
Triggered when prospects say 'we asked ChatGPT and it recommended [competitor]' in discovery calls.
We rebuild your G2 review velocity, Reddit footprint, and editorial citation graph so ChatGPT recommends you by name in category prompts.
Consumer brand or DTC marketer in a researched category
Triggered when 'best [product]' queries on ChatGPT return a list that excludes you entirely.
Reviewer YouTube outreach, Reddit community seeding, and editorial placements engineered for the publications ChatGPT trusts.
Head of SEO already running AEO/GEO programs
Triggered when cross-engine SoV is rising but ChatGPT specifically lags.
ChatGPT-specific citation work layered on top of your existing program — the engine-specific tactics most teams skip.
From 0/10 to 7/10 commercial prompts naming the brand in 84 days.
A mid-market project management SaaS was being recommended in zero of their top 10 commercial ChatGPT prompts — every answer named three larger competitors. We mapped the third-party signal graph (G2 'project management' category, r/projectmanagement, four reviewer YouTube channels, and three trade publications), then ran an 84-day citation seeding sprint: 41 net new G2 reviews, 6 high-engagement Reddit threads, 3 YouTube reviewer placements, and 2 editorial features. By day 84, the brand was named in 7/10 commercial prompts, recommendation rate climbed from 12% to 64%, and SearchGPT was citing two of the new editorial pieces live.
Different categories trust different ChatGPT source signals.
B2B SaaS
Buyers ask ChatGPT for tool comparisons before booking demos.
G2 velocity + Reddit authority + reviewer YouTube placements that move recommendation rate.
See playbookHealthcare & Med Spa
Patients ask ChatGPT for treatment recommendations before booking consults.
Editorial placements, Wikipedia entity work, and review velocity engineered for clinical credibility.
See playbookLaw Firms
Practice-area prompts default to legacy firms with strong editorial presence.
Bar association, legal directory, and editorial placements that move attorney + firm recommendation.
See playbookEcommerce / DTC
'Best [product]' prompts return curated lists that exclude challenger brands.
Reviewer YouTube outreach, Reddit community seeding, and editorial features for product inclusion.
Real Estate
Buyers ask ChatGPT for neighborhood + agent recommendations before any contact.
Local editorial, agent profile authority, and brokerage Wikipedia entity work.
See playbookProfessional Services
Niche-expertise prompts surface the loudest voices, not the best operators.
Expert-author bylines, podcast placements, and editorial features ChatGPT cites by name.
ChatGPT visibility compounds fastest for these brand profiles.
- Brands in researched, comparison-heavy categories (SaaS, DTC, services)
- Companies whose buyers explicitly say they asked ChatGPT before contacting sales
- Teams with budget for editorial PR + review programs in addition to SEO
- Brands already running AEO or GEO programs that need engine-specific lift
- Operators willing to invest in third-party citation work for 90+ days
- Categories with near-zero ChatGPT search behavior
- Brands looking for quick wins in 2–4 weeks
- Teams unwilling to invest in PR, reviews, or community participation
- Companies not yet ranking in traditional Google search (start there first)
We've reverse-engineered ChatGPT's commercial recommendation logic across 60+ engagements.
Most agencies treat ChatGPT visibility as 'AI SEO' — repurposed blog content with schema markup. That doesn't move the model. Here's what does.
Our team includes ex-Reddit moderators, G2 review program leads, and editorial PR strategists. The signals ChatGPT actually weighs are our specialty.
GPT-4o, GPT-5, and SearchGPT each rank differently. We optimize them as three distinct surfaces, not one homogeneous engine.
Every review program we run is fully compliant with G2, Capterra, and Trustpilot policies. No incentivized reviews, no fake accounts, no risk to your category badges.
Every monthly report includes a senior-strategist call with prompt taxonomy refresh, competitive analysis, and the next 30-day citation plan.
The tooling we run quietly in the background.
Automated prompt regression across surfaces
Live retrieval citation tracking
Cross-surface citation analytics
Sentiment + regression scoring
Compliant review velocity programs
Community authority + editorial calendar
Editorial placement targeting
Entity unification + infobox authority
Organization + Product + Review markup
Per-surface recommendation dashboards
Educational reading we send to every new ChatGPT visibility client.
The single-engine framework that ChatGPT visibility extends.
Cross-engine optimization at scale — the broader program ChatGPT visibility plugs into.
Continuous SoV monitoring that protects ChatGPT gains.
The two underweighted engines often easier to win first.
The Reddit, G2, and editorial work ChatGPT visibility relies on.
The diagnostic that defines your starting position in ChatGPT.
What CMOs and Heads of SEO ask before buying ChatGPT visibility.
Real questions from scoping calls — clustered by what they care about most.
ChatGPT visibility compounds when paired with these.
Cross-engine program ChatGPT visibility plugs into for full coverage.
ExploreContinuous citation tracking that protects your ChatGPT gains.
ExploreThe Reddit, G2, and editorial citation work this program relies on.
ExploreSingle-engine framework ChatGPT visibility extends and operationalizes.
ExploreTwo engines often easier to win first — and a leading indicator for ChatGPT lift.
ExploreEditorial placements engineered for the publications ChatGPT trusts.
ExploreSee exactly which competitors ChatGPT recommends instead of you — and why.
We'll run your top 50 commercial prompts through GPT-4o, GPT-5, and SearchGPT, then send back a baseline ChatGPT visibility report with citation count, sentiment scoring, competitor naming frequency, and the top 5 third-party signals moving the model in your category. Turnaround is 5 business days.
- 5-day turnaround
- No commitment
- Senior strategist call