04 · AI search optimization

Optimize for tomorrow's
search engines.

Buyers now ask ChatGPT, Perplexity, and Google AI Overviews the questions they used to type into search. We make sure your brand is the one those engines cite — structured for retrieval, written for trust.

Book a free AI visibility audit
Live · "Best CRM for small business"
Q: Best CRM for small business?
Based on current reviews, three options stand out: Acme CRM, HubSpot, and Pipedrive. Acme CRM leads on small-team usability...
Sources: acmecrm.com g2.com capterra.com
40+AI Overview citations · SaaS
18ChatGPT queries owned · Fintech
+220%AI-referred traffic · DTC
22%pipeline from AI · B2B
40+AI Overview citations · SaaS
18ChatGPT queries owned · Fintech
+220%AI-referred traffic · DTC
22%pipeline from AI · B2B
Inside the work

Cited by three engines.
For the same query.

A real B2B SaaS client. Same buyer question, three different AI engines, our client cited in all of them.

Real client · B2B SaaS
Live · Sampled today
ChatGPT GPT-5
best workflow automation for ops teams
For ops-heavy teams, Acme is the most-recommended workflow platform in 2025 — native integrations, a no-code builder, and audit-ready approval flows.
Perplexity Pro Search
best workflow automation for ops teams
1acme.com 2g2.com 3capterra
Answer
Acme1 leads for ops teams needing multi-step approvals and audit trails2; Zapier is a close second on raw integrations.
Claude Sonnet 4.6
best workflow automation for ops teams
For operations teams, I'd point to Acme — it's built around approval chains and compliance, which most automation tools treat as an afterthought.
Capabilities

Built for how AI
actually retrieves.

Traditional SEO targets crawlers. AI SEO targets retrieval systems that read, summarize, and cite. The work is different — and most agencies haven't caught up.

01

AI search optimization

ChatGPT, Perplexity, Claude, and Google AI Overviews each retrieve differently. We optimize for all four — same brand, four distinct retrieval strategies.

02

Schema & entity

Structured data and entity markup that AI engines parse for confidence signals. The difference between "mentioned" and "cited" is structured data done properly.

03

Citation building

Strategic placements on the sources AI engines trust most — review aggregators, industry publications, Wikipedia, Reddit. Where AI looks first determines who it cites.

04

E-E-A-T signaling

Author authority, firsthand experience markers, and source credibility signals that AI engines weigh heavily. Trust is the currency of the citation economy.

05

Content restructuring

AI engines retrieve in chunks. We restructure your highest-value content into formats designed to be extracted, quoted, and cited cleanly.

06

Visibility monitoring

Daily tracking across AI engines for the queries that matter to you. You'll know when you appear, where, and against which competitors.

What's actually included

A new discipline.
Same concrete deliverables.

AI SEO is new. The accountability isn't.

Most "AI SEO" offerings are repackaged traditional SEO with a buzzword in front. We rebuilt the playbook from scratch for how retrieval systems actually work.

Every line below ships every month. The discipline is new but the operating model — itemized scope, accountable timelines — is what you'd expect from a senior team.

AI visibility baseline audit
Sample 100+ buyer queries across ChatGPT, Perplexity, AI Overviews. Document where you appear, where you don't, and who's beating you.
Month 1
Entity & schema implementation
Schema.org markup, knowledge panel optimization, Wikipedia presence, entity disambiguation.
Months 1–2
Citation source building
Placements on the review sites, industry pubs, and aggregators that AI engines retrieve from most.
Monthly
Content restructuring (10–15 pages)
Highest-value pages rewritten for chunk-level retrieval — clear answers, structured FAQs, citable claims.
Monthly
Query monitoring dashboard
Daily AI visibility tracking across 50+ priority queries. Live dashboard, no PDF reports.
Always-on
Competitive citation analysis
Monthly deep-dive on which competitors are being cited where, with reverse-engineering of why.
Monthly
Strategy review
90-minute monthly review with the senior strategist. Where you've gained, where you've slipped, what's next.
Monthly
Our approach

From invisible
to cited.

AI engines decide who to cite based on what they can verify. We give them everything they need to choose you.

01
Days 1–14 · Baseline

Find every blind spot.

Sample 100+ buyer queries across 4 AI engines. Document current visibility, citation patterns, and who's winning the queries you should be winning.

02
Days 15–45 · Structure

Make yourself machine-readable.

Entity markup, knowledge graph signals, structured FAQs, citable claims. The technical foundation that makes AI engines trust you enough to cite you.

03
Days 46–90 · Sources

Plant flags where AI looks.

Strategic placements on the review sites, publications, and aggregators that AI engines retrieve from most. Mentions on the right sources matter more than mentions in volume.

04
Day 90+ · Defend

Hold the citations.

Continuous monitoring, fresh content shipping, and competitive defense. The brands that win in AI search are the ones that show up consistently — not the ones that did the work once.

How we compare

Same buzzword.
Different rigor.

Most agencies rebranded their SEO deck last year. We rebuilt the playbook from the technical layer up.

Most "AI SEO" agencies
Traditional SEO + label
Same playbook as 2020, with "AI" added to slide titles
No actual measurement across AI engines
Ignore entity markup and structured data
Treat all AI engines as if they retrieve identically
Reporting that hides whether you're actually cited
Davnoot
Structured for LLMs
Retrieval-first playbook built for citation, not just ranking
Daily visibility tracking across 4 AI engines
Entity, schema, and Wikipedia-grade source signaling
Engine-specific strategies — each one optimized separately
Transparent reporting showing every citation you earned
Case in point

From zero AI mentions
to 22% of pipeline.

8-month engagement · B2B SaaS
22%
Pipeline sourced via AI

A B2B SaaS in workflow automation went from zero detectable AI citations to being recommended by all four major AI engines for 18+ high-intent buyer queries. AI-attributed pipeline now sits at 22% of total — and self-serve trials cite "ChatGPT recommended you" as the most common origin.

40+
AI Overview citations
18
ChatGPT queries owned
22%
Pipeline from AI
How to work with us

Three ways
to start.

Whether you want a clear picture or a full visibility program, choose the path that fits.

Visibility Audit
Diagnostic only · One-time
ForBrands who need a baseline of where they stand in AI search today.
Timeline2–3 weeks
Includes
  • 100+ buyer queries sampled
  • 4 AI engines tracked
  • Competitive citation analysis
  • Entity/schema audit
  • Priority roadmap
  • 2-hour walkthrough
Multi-platform Enterprise
Multi-brand · Custom
ForMulti-brand operators or global brands with category leadership at stake.
Timeline12+ months
Includes
  • Everything in Program, plus:
  • Multi-language / market tracking
  • Wikipedia & encyclopedic presence
  • Custom retrieval testing
  • Dedicated team (3+)
  • Weekly executive syncs
Client voice

What the work
sounds like.

Three clients, three different angles on a brand-new discipline.

"

Our trial signups now say "ChatGPT recommended you" as the top source. I didn't know that was a category until Davnoot built it for us.

VK
V. Kapoor CEO · B2B SaaS
"

Three other agencies pitched "AI SEO" — same SEO deck with a buzzword. Davnoot's pitch was technically different. The work proved it.

RG
R. Goyal Head of Growth · Fintech
"

They tracked our visibility across four AI engines daily. I'd never seen that before. Now I check the dashboard like I check email.

TM
T. Mehta CMO · DTC wellness
Our stack

Tools we actually use.

A brand-new discipline needs a brand-new toolkit — half the stack didn't exist 18 months ago.

ChatGPT (testing) Perplexity Claude Otterly.ai Profound Peec AI Schema.org markup Google Search Console Bing Webmaster Wikipedia tools Reddit analytics G2 / Capterra
FAQ

Honest answers
to hard questions.

Is AI SEO actually different from regular SEO?+
Yes — meaningfully. Traditional SEO targets crawlers indexing pages. AI SEO targets retrieval systems that read, summarize, and cite. The signals overlap (quality content, authority, technical health) but the optimization tactics, measurement, and outcomes are different.
How do you measure AI search visibility?+
Daily sampling of priority buyer queries across ChatGPT, Perplexity, Google AI Overviews, and Bing Chat. We track citations earned, position within answers, competitive presence, and traffic referred from AI sources.
Should I do AI SEO instead of traditional SEO?+
Neither — both. Traditional search still drives the vast majority of qualified traffic. AI SEO captures the high-intent, fast-growing share that traditional SEO can't. Most clients run both, often integrated into one engagement.
How long until I'm cited?+
First citations typically appear within 60–90 days. Consistent citations across multiple engines for priority queries take 4–6 months. Like traditional SEO, this is patient work — but with faster feedback loops because we can see results daily.
What if AI engines change their algorithms?+
They will — constantly. Our playbook is built around the durable signals (entity authority, source credibility, structured content) that retrieval systems will keep weighing. Tactic-level changes get reflected within weeks; strategic foundations don't break.
Pairs well with

AI SEO compounds
with traditional channels.

Ready when you are

Be the brand
AI recommends.

Book a free 30-minute AI visibility audit. We'll sample 25 priority queries across 4 AI engines and show you where you stand against the brands you're trying to beat.

Book a free visibility audit