Bridgehead Prepared for Andrey at Keenable
For Andrey

Search API for AI Agents Sales Playbook

Andrey, we’ll build your new Head of Revenue’s first 100 accounts in 10 days. The first 25 are below, and they’re yours either way.

If your Head of Revenue seat stays open another quarter, ignore this. If it doesn’t, the next two minutes are worth it.

What we noticed

You came out of stealth on August 25 with a $26M seed, and your own Vals post shows Keenable ranking first on the Vals Web Search Index.

Your Head of Revenue role has been open since August 19 and your Founding GTM role since September 29, and the posting says the hire builds the motion with no playbook.

  1. August 19 Head of Revenue role first posted
  2. August 25 $26M seed announced
  3. September 29 Founding GTM role first posted
  4. November 9 Both roles still open; the first 25 accounts are on this page

What changes for your new AE

Your new Head of Revenue starts day one with 100 accounts you approved and drafts written to the first five, instead of spending the first weeks finding which labs, platforms and agent builders to open. Your posting asks for relationships they can activate in week one; this adds the accounts beyond those relationships, each with the reason it is open now.

Your first 25 accounts

Picked from how you describe your buyers in your postings and your TechCrunch interview. Each one has the reason it’s here and the source.

Yours either wayKeep these 25 whether or not we ever talk.
Cut any you wouldn’t callTell us why, and we replace it. We keep going until you’d keep at least 80 of the 100.
  1. Fireworks AI Inference platform · first annual conference, Forge
    1

    Their launch is about agents that make several model calls per task, which is where a fast search call matters. Baseten was your first inference-platform partner, and this is the next platform of that kind.

    Signal: Nov 3, 2026 Source
    Buyer: Head of partnerships or the platform engineering lead
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  2. LiveKit Voice agent infrastructure · 1,000+ concurrent sessions at Clerk AI
    2

    Their own customer story names a response ceiling for voice agents. Your Gradium post is about exactly that pause, and LiveKit is the stack under voice agents like Clerk's.

    Signal: Nov 4, 2026 Source
    Buyer: Head of partnerships or developer relations
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  3. Groq Inference platform · GroqCloud
    3

    Their own executive says agents make dozens of model calls to finish one task, and this model browses the web. Speed on every call sets the wait, and a web lookup is one of those calls.

    Signal: Oct 15, 2026 Source
    Buyer: Head of partnerships or the platform engineering lead
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  4. Cartesia Voice AI · new hosted voice agents
    4

    A new hosted voice-agent product puts them where Gradium was: an agent that has to answer with live facts without going quiet.

    Signal: Oct 29, 2026 Source
    Buyer: Head of platform or partnerships
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  5. Composio Agent tools platform · 100+ paid tools in one wallet
    5

    Their agents already buy search per call from a wallet, and another provider just joined it. The same wallet is a slot for you.

    Signal: Nov 3, 2026 Source
    Buyer: Head of partnerships or the integrations lead
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  6. Hebbia Finance research platform · new API and MCP server
    6

    Finance analysis is one of the two domains your Vals ranking covers, and they have just opened an MCP server, the same way your search plugs into an agent.

    Signal: Oct 1, 2026 Source
    Buyer: Head of product or platform engineering
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  7. Cerebras Sunnyvale, CA · inference hardware and cloud
    7

    At their inference speeds the model is quick, so the tools around it set the pace. Web retrieval is one of those, and it is the one you sell.

    Signal: Oct 16, 2026 Source
    Buyer: Head of partnerships or the platform engineering lead
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.
  8. ElevenLabs Voice AI · enterprise 55% of revenue
    8

    Their growth is conversational agents for enterprises, the kind that go quiet while they look something up. Your Gradium partnership solves the same pause.

    Signal: Sep 30, 2026 Source
    Buyer: Head of platform or partnerships
    Why it’s ranked here

    A strong fit.

    • Ships an agent product whose users trigger live web lookups, so search volume grows with their customers.
    • Latency shows to a user: voice, real-time or interactive agents where a slow search call is felt.
    • Buys search through an API or a partner today rather than running its own index.
    • Something changed in the last 90 days: a raise, a launch, a new agent product or a new partner.
    • Not already a Keenable integration, partner or customer.
    • Looks like the accounts you already work with: a platform where search ships inside the product, as with Baseten, Gradium, Lightpanda and cognee.

Your new Head of Revenue’s first 100 accounts, in 10 days

The first 25 are above, and they’re yours either way.

Email Kash

We build a handful of these a month, for founders hiring now.

10 days

from kickoff to your team running it

  • 100 accounts you approve, each with the reason
  • Drafts to the first five, in your voice
  • Your team runs it without us
  • Any account you cut, we replace

How does Keenable sell?

An outside read from your TechCrunch interview, your launch post, your site and your two sales postings, built to be corrected: tell us anything that’s wrong. Tap a clip to play it from that moment.

In your posts and interviews5 quotes
  1. Who buys
    “Baseten is our first inference-platform partner.”
    Keenable partners with Baseten, September 16
  2. The problem
    “If you do not fine-tune your index structures for a specific task, the cost of serving and scanning the whole internet is enormous because of the volume.”
    TechCrunch interview, Accel-backed Keenable is indexing the web for AI agents, August 25
  3. The problem
    “The answer isn’t wrong, it’s just very average.”
    Your launch post on LinkedIn, August 25
  4. The problem
    “AI seems to know everything until you want to go narrow and deep on a topic.”
    Your launch post on LinkedIn, August 25
  5. When a store moves
    “Developers running on Baseten can now give their models access to the live web inside the same inference request.”
    Keenable partners with Baseten, September 16
What your customers sayFrom Head of Revenue posting, Founding GTM posting, Your pricing page, Your About page, Your home page, Keenable ranks #1 on the Vals Web Search Index, Natural conversation, live retrieval: Keenable search with Gradium, TechCrunch interview, Accel-backed Keenable is indexing the web for AI agents
  1. YHYour Head of Revenue posting
    “our most important customers are the teams building frontier models and the products on top of them.”
    Your Head of Revenue posting · Head of Revenue posting
  2. YFYour Founding GTM posting
    “get in front of the researchers and ML engineers who evaluate web search”
    Your Founding GTM posting · Founding GTM posting
  3. YHYour Head of Revenue posting
    “customers range from a solo agent builder doing hundreds of queries a day to a lab doing millions.”
    Your Head of Revenue posting · Head of Revenue posting
  4. YPYour pricing page
    “For Agent builders and Enthusiasts”
    Your pricing page · Your pricing page
  5. YFYour Founding GTM posting
    “Own the platform channel: integrations with inference platforms, agent frameworks and resellers”
    Your Founding GTM posting · Founding GTM posting
  6. YAYour About page
    “We’ve given them clunky, expensive, human-optimized web access tools, namely “10 blue links” search APIs and slow fetch APIs.”
    Your About page · Your About page
  7. YAYour About page
    “Agents should never think twice about querying the web.”
    Your About page · Your About page
  8. YHYour home page
    “from $1 / 1K requests @ 100 RPS+”
    Your home page · Your home page
  9. YAYour About page
    “the largest independent web index in the world”
    Your About page · Your About page
  10. YFYour Founding GTM posting
    “show the result on their queries, not ours.”
    Your Founding GTM posting · Founding GTM posting
  11. YVYour Vals post
    “Keenable ranks first overall at 49.08% across finance analysis and legal research.”
    Your Vals post · Keenable ranks #1 on the Vals Web Search Index
  12. YGYour Gradium post
    “Most search APIs were built for batch use, not for a conversation waiting on the answer”
    Your Gradium post · Natural conversation, live retrieval: Keenable search with Gradium
  13. YGYour Gradium post
    “Ask any voice agent something it has to look up, and you can hear the moment it happens: silence, while it searches.”
    Your Gradium post · Natural conversation, live retrieval: Keenable search with Gradium
  14. TTechCrunch
    “AI players have very few options when it comes to web-scale search infrastructure”
    TechCrunch · TechCrunch interview, Accel-backed Keenable is indexing the web for AI agents

Words you use

  • “independent web index”
  • “frontier AI infrastructure”
  • “design partners”
  • “human-optimized”
  • “the living web”

How the list learns your calls

In the first session you react to accounts like these: keep or cut, and why, the way you’d tell a cofounder. Each reason becomes a rule you can read, the pool re-scores, and ten more show whether it learned. Keep eight of ten and the hundred is built on your rules.

  1. You cut one on the call, and say why
  2. It becomes a rule
  3. The pool re-scores
  4. Ten more test it

Which questions can only you answer?

Your interview and your posts don’t say which kind of team you’d never spend an evaluation on, or what a lab has to see before it moves its queries to a new search source. About 30 minutes of you reacting to real accounts answers these.

  1. 1

    Which buyer closes first for your team: a lab, an inference platform or an agent builder?

    Rows 1, 3 and 10 are inference platforms, rows 2, 4 and 9 are voice platforms, and rows 6, 11, 12 and 13 are legal and finance agents. Your answer reorders the list.

  2. 2

    Does a platform that resells search belong on the list?

    Row 5 (Composio) already sells search from a wallet, and row 23 (Browserbase) sells its own. Your answer keeps or cuts both.

  3. 3

    Would you sell to a company that runs its own index?

    Row 24 (Perplexity) and row 25 (Mistral) are here to find that line, and row 22 (Cloudflare) tests whether the owner of the shelf ever swaps its source.

  4. 4

    Do customer-service agents search enough to be worth a call?

    Row 14 (Sierra) and row 20 (Decagon) stay or go on this one.

  5. 5

    Is a model-hosting platform with no agent focus a fit?

    Row 21 (Replicate) tests this.

What does your Head of Revenue’s first morning look like?

Without

The CRM you have now. The early weeks go to learning which accounts you’d call, and why.

With · Head of Revenue, first morning

  • FAFireworks AIDraft written
  • LLiveKitDraft written
  • GGroqDraft written
  • CCartesiaDraft written
  • CComposioDraft written

A hundred accounts you approved, the rules behind them and drafts to the first five, so their time goes to buyers.

From week two, your mornings too: one brief, drafts to approve, every message sent by you.

How the 10 days run

What happens in the ten working days?

November 16, 2026 to December 1, 2026. About a day of your time in total.

  1. Before by November 16

    You send the customers you’d clone and three deals that went wrong, plus 10 to 20 emails or posts you wrote. “How you sell” is drafted from your talks and posts.

    You: 20 minutes
  2. Day 1 November 16

    The playbook session: we fill the gaps and correct the draft together. Your CRM is connected.

    You: 2 hours
  3. Day 2 November 17

    Your first rules are written; a few hundred companies are scored against them.

    You: none
  4. Day 3 November 18

    You review the first 25 (talking it through is fine).

    You: 30 minutes
  5. Day 4 November 19

    Your reasons become rules; you see the re-score and judge 10 more. First touches are written in your voice to the accounts you kept, and you read ten. Touches start logging to the CRM.

    You: 30 minutes
  6. Day 5 November 20

    The hundred is built. The research tool is set up; you test it on three accounts you know.

    You: 15 minutes
  7. Day 6 November 23

    The morning run is set up; your first morning, with us.

    You: 30 minutes
  8. Day 7 November 24

    You review all hundred, and any cut is replaced. Team training, session one.

    You: 1 hour 20 minutes
  9. Day 8 November 25

    Your first morning on your own. Training session two, hands-on for each person.

    You: 1 hour plus your morning
  10. Day 9 November 30

    Your second morning on your own. Each person on your team runs the morning alone.

    You: your morning
  11. Day 10 December 1

    Your third morning on your own. A week of touches is in the CRM. Handover sign-off.

    You: 30 minutes plus your morning
Kash Badami

Who builds it?

The person in the video does the work with you, from the first session to the handover.

$100M+in deals sold in a single year
$0 to $10MARR in 12 months, for a company I built
  1. “Kash and I built ERT Credit together in 2021. He took my MVP and turned it into a SaaS that hit $10M ARR in twelve months.”

    Jordan Anderson, CEO, PayStreetgobridgehead.ai/about

  2. “Analytical in approach, technologically-knowledgeable, and earnest in conviction, Kash was able to drive pipeline in a notoriously challenging tech region.”

    JBJason Brandt, Managing Director, Sales, ePlus inc.LinkedIn recommendation, April 2020

Where does this go from here?

Three options. Each one is fine.

Not a fit

Say so in a line, and that’s the end of it.

Not now

Keep the 25 and the read on how you sell, and share them. When the role fills, the offer stands.

Talk with Kash

Ask Kash to call you, or email him. He calls to set up a 30-minute strategy session. Bring your cofounder or your sales leader.

Your new Head of Revenue’s first 100 accounts, in 10 days

The first 25 are above, and they’re yours either way.

Email Kash

We build a handful of these a month, for founders hiring now.

10 days

from kickoff to your team running it

  • 100 accounts you approve, each with the reason
  • Drafts to the first five, in your voice
  • Your team runs it without us
  • Any account you cut, we replace

Keenable sales playbook, in brief

Keenable sells an independent web search and page-fetch API to AI labs, inference platforms and agent builders, run on its own index. Andrey Styskin led search at Yandex and web infrastructure at Amazon AGI before starting it.Your home page, TechCrunch interview, Accel-backed Keenable is indexing the web for AI agents

He describes the problem as agents being given “clunky, expensive, human-optimized web access tools,” and says “it is painfully expensive” to build an index at this scale.Your About page, TechCrunch interview, Accel-backed Keenable is indexing the web for AI agents

The Head of Revenue role asks for someone who can open doors at AI labs, agent platforms and enterprises adopting agents, and the posting says the hire gets no SDRs, no RevOps and no playbook.Head of Revenue posting

The first 25 accounts for a new Head of Revenue are AI platforms and agent builders, each scored on six rules and backed by a dated, sourced signal such as a launch, a raise or a new agent product: fourteen strong fits, seven in the middle and four edge cases that test the rules.

Prepared by at Bridgehead · November 9, 2026 · Every source

Questions founders ask

Can’t my AE build this when they start?

They can. But wouldn’t you rather they were selling? Reps spend 28% of their time selling, and the average new AE takes 6.2 months to ramp. This replaces the weeks they would spend building the list and learning what you already know.

28%: Salesforce, State of Sales (7,700+ sellers, 2022) · 6.2 months: Bridge Group, 2026 AE report (158 companies)

How much sooner does my new AE get to work?

From day one, because the accounts you approved and the first drafts are waiting. The average new AE takes 6.2 months to ramp, and at a $200K median OTE that is about $103K paid before they are fully productive. Only 48% of AEs hit quota.

6.2 months: Bridge Group, 2026 AE report (158 companies) · $103K: arithmetic ($200K median OTE × 6.2 months ÷ 12); Bridge Group, 2026 AE report (158 companies) · 48%: Bridge Group, 2026 AE report (158 companies)

We tried an outreach tool and it sounded like a robot. How is this different?

Nothing goes out on its own. Every account on the list is one you approved, every draft is written to one person, and you send each message yourself. It learns your voice from what you’ve written and from every edit you make.

How much of my time does it take?

About a day, spread across the ten working days: the 2-hour session on how you sell, short list reviews you can talk through, two training sessions and your first mornings. The hours your AE gets back go to selling, where reps spend just 28% of their time today.

28%: Salesforce, State of Sales (7,700+ sellers, 2022)

What happens after you leave?

It keeps learning. Each week it proposes rule changes from what your cuts, replies and silences showed, and you approve or reject each in a line.

Where does my data live?

In your own accounts: your Claude, your CRM, your files. Nothing runs on anyone else’s side, and any rule can be changed in plain English.

How is it priced?

The first engagement is one fixed price for the ten days. It depends on how many people we train and which systems we connect, so Kash quotes it on a short call. After handover, you can keep us on a retainer to keep supporting your sales process and refining it, if you choose that route.

The research behind this page 13 sources · 2 postings · 4 customers · 38 stores looked at

Your talks and posts

  1. Your home page, November 9, 2026
  2. Your About page, November 9, 2026
  3. Your pricing page, November 9, 2026
  4. TechCrunch interview, Accel-backed Keenable is indexing the web for AI agents, August 25, 2026
  5. Your launch post on LinkedIn, August 25, 2026
  6. Keenable partners with Baseten, September 16, 2026
  7. Keenable ranks #1 on the Vals Web Search Index, October 20, 2026
  8. Keenable AI Startups program, November 6, 2026
  9. SiliconANGLE, Keenable raises $26M, August 25, 2026
  10. Keenable docs, integrations, November 9, 2026
  11. Natural conversation, live retrieval: Keenable search with Gradium, July 26, 2026
  12. Keenable now runs inside Lightpanda, August 28, 2026
  13. cognee's agent memory now reads the web through Keenable, September 22, 2026

Your open roles

  1. Head of Revenue, first posted August 19, 2026
  2. Founding GTM, first posted September 29, 2026

Your customers

Baseten · Gradium · Lightpanda · cognee (santehq.com/customers and your posts). Customer photos are from santehq.com/customers.

How the 25 were picked

38 stores found and scored on 6 rules; the 25 chosen to teach: 14 strong, 7 middle, 4 at the edges. Logos are from each store’s own site.

  • Sources: each company's own blog, newsroom or changelog, opened and saved on November 9, 2026. Each row names the post and its date.
  • Left off the list because Keenable already lists them as integrations in its docs: OpenRouter, CrewAI, LangChain, LlamaIndex, Mastra, Dify, n8n and Pipecat (Daily). Baseten, Gradium, Lightpanda and cognee are named partners.
  • Keenable has no customers page and does not name its lab customers. None of the 25 appears on keenable.ai or in its docs as an integration, and no account page that loaded carries a Keenable credit.
  • Where a source says nothing about web search, that rule scores low. It means not shown in the source, not absent.