Advice you can act on, from someone who stays to see it work.
Not a deck and a goodbye.
You probably have a strategy document from somebody, sitting in a folder, largely unimplemented. It was not wrong. It just had no priority order, no named owner, and nothing precise enough for your developer to act on.
What you get: Your team gets a short ordered list they can actually build, and you get to see each item measured against the result it was meant to produce.
- Ranked by impact
- Written for your team
- Reviewed monthly
- Measured honestly
Transparent monthly packages from $799 to $3,500 per month. No free audit to sit through, and no discovery call before you can see a price. Responds within 24 hours during Monday to Friday, 9am to 6pm Pacific Time.
What is AI search consulting, and how is it different from an audit?
AI search consulting is practical direction on how your business should adapt to AI driven search: what to change, in what order, who should do it, and how you will know whether it worked. It differs from an audit in one decisive way. An audit ends with a document. This carries on into implementation and measurement, because the value is in the change rather than in the finding.
This is the right purchase when you have a capable team who need direction rather than delivery. We produce the plan, write the instructions, review the work, and report on what moved. Delivered at $799, $1,500, or $3,500 per month, with the depth of review and the amount of hands on work rising at each level.
Every figure on this page comes from our published brand facts, so it says the same thing everywhere you find us.
One plan covering every tool that matters to you.
ChatGPT, Google AI Overviews, Google AI Mode, Perplexity, Microsoft Copilot and Grok
The roadmap covers all of these together, ordered by which ones your buyers actually use rather than by which is newest.
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ChatGPT
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Google AI Overviews
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Google AI Mode
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Perplexity
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Microsoft Copilot
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Grok
The recommendations were fine. Nothing got implemented.
Most strategy work fails after delivery rather than during it. The thinking was sound and the change never happened. Here are the four reasons.
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A list with no order
Two hundred findings and no priority means your team starts with the easiest, and stops when the easy ones run out. The expensive problems never get touched.
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No named owner per item
When a recommendation belongs to everybody it belongs to nobody. It sits in the backlog until somebody quietly closes it.
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Advice too vague to act on
Improve your entity signals is not a task. A developer needs the specific code, on the specific template, with the specific identifiers.
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No measurement after delivery
With no starting point and no monthly check, nobody can tell whether the implemented items worked, so the next budget conversation has nothing behind it.
What consulting actually delivers here.
A living plan, reviewed every month, rather than a document delivered once and filed.
A short ordered plan
A ranked list of what to change, each item carrying the expected effect, the effort, the owner, and the reason it sits where it does in the order.
Instructions precise enough to act on
Each item written so your developer or marketer can act without a follow up meeting to work out what you meant.
Technical detailA monthly working session
What shipped, what moved, what a competitor did, and what comes next, based on the month you just measured rather than the plan you wrote in January.
Measurement against the plan
Every implemented item tracked against the movement it was meant to cause, so the plan gets corrected by evidence rather than opinion.
How we trackAI search consulting is one of six pillars, not a standalone tactic.
Buying a single tactic rarely moves visibility, because answer engines read the whole picture. Every package works all six pillars together at the level your tier defines.
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Google + Google Maps Visibility
Advanced Google Business Profile, Google Maps, and local pack support across every priority service area, location, and competitor gap.
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Google AI Overview + AI Answer Readiness
Track 150-250 local prompts, monitor AI answer accuracy, and structure pages so AI-generated answers describe your business correctly.
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Website SEO Optimization
Optimize 5-8 pages and publish 2 new local content assets each month with advanced on-page and topical SEO.
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Local Entity Authority
Map and strengthen business, service, location, and owner/founder entities into one connected local authority graph.
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Reviews + Trust Signals
Run a reputation-growth strategy with reviews, proof placement, and legitimate local authority and PR opportunities.
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Conversion + Lead Path Optimization
Optimize the full lead path across calls, forms, and booking links, with priority implementation and executive reporting.
A lot can go wrong with ai search consulting. We check every one of these.
Consulting is the easiest thing to sell and the hardest to prove. Here is where it goes wrong and how we make it accountable.
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What usually goes wrong
You pay for thinking that never becomes doing
A strategy arrives, everyone agrees it is good, and nothing changes. Six months later you have paid for a document and your website is exactly as it was.
How we make sure it is right
We stay until it ships and gets measured
Every item carries an owner and a deadline, and every month we review what actually shipped. Advice with nothing built is not something we are willing to bill for.
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What usually goes wrong
The plan ignores what your team can realistically do
A roadmap gets written for a company with three developers when you have one part timer. It was never going to be built, and everyone knew that except the person who wrote it.
How we make sure it is right
We plan around your actual capacity
We ask what your team can genuinely produce in a month and plan to that. A shorter plan that gets built beats a complete one that stalls in week three.
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What usually goes wrong
You get told things you already know
The first three months rehash search fundamentals your team learned years ago. You are paying senior rates for a refresher course.
How we make sure it is right
We say plainly what you already have covered
The review states which parts of your current approach are already working before recommending anything. If you do not need us, we will tell you.
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What usually goes wrong
Nobody can tell whether it worked
No starting measurement was taken, so every result is arguable. Consulting continues indefinitely on the basis that things feel better.
How we make sure it is right
Every recommendation gets checked against reality
We record where you stand before anything changes, then track each item against the movement it was meant to cause. Some will not work, and we will say which.
This is the whole reason to hire someone. A recommendation nobody measures is a guess with a nice cover on it. Staying to check is what makes it worth paying for.
Six stages, and what each one produces for AI search consulting.
Every engagement runs on the same method, so you always know which stage you are in, what it is producing, and what comes next. The stages are Find, Fix, Structure, Prove, Track, and Grow.
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Find
Stage 1. Find
Establish what buyers actually ask and where you stand today.
You get a starting picture of where you stand across questions, competitors, technical health, and identity.
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Fix
Stage 2. Fix
Remove the technical and factual blockers that stop a machine reading you correctly.
You get the problems that would waste every later effort found and ordered first.
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Structure
Stage 3. Structure
Rebuild the page and its data so an answer engine can lift a correct answer.
You get instructions your team can act on without needing another meeting to interpret them.
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Prove
Stage 4. Prove
Attach the evidence a buyer and a model both need before recommending you.
You get evidence and proof requirements defined for the pages that need them.
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Track
Stage 5. Track
Measure the prompts, the competitors, and the movement every month.
You get a monthly review of what shipped, what moved, and what comes next.
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Grow
Stage 6. Grow
Expand coverage into the next set of questions, services, and locations.
You get the plan re-ordered as results come in and the market changes.
Two results we can show you, with their limits stated.
We publish the evidence label and the limitation next to every number, because a result without its scope is a claim, not proof. We do not guarantee AI rankings or citations, because third parties control those systems.
Toolsforhuman.com
AI Search Rankings used schema-first Answer Engine Optimization, layered JSON-LD, robust canonicals, and multilingual hreflang to help Toolsforhuman.com earn 26,300 Microsoft Copilot citations across 160 plus pages, including Spanish-language pages, in a sample window of about three months.
Measured on Microsoft Copilot. The result applies to the documented sample window and does not guarantee future citations.
Read the Toolsforhuman.com case studyLaser Tagging Inc.
AI Search Rankings rebuilt the Laser Tagging Inc. digital brand and website, expanded its service-area relevance across Newark, Fremont, San Jose, and nearby Bay Area communities, and documented 4,460 client-reported Google generative AI impressions in the selected last-three-month window.
Measured on Google AI Overviews and AI Mode. The report measures Google generative AI impressions. It does not prove a ChatGPT recommendation, a click, a booking, a lead, or revenue.
Read the Laser Tagging Inc. case study
The four questions serious buyers ask before they sign.
Each answer sits next to the doubt that prompts it, with the evidence we can actually stand behind.
We just want advice. Why is this a monthly package?
Because advice with no measurement cannot be corrected.
A one time recommendation is a guess. It becomes knowledge only once it is built, measured, and the plan adjusted by the result. A monthly arrangement is what makes that loop possible. If you genuinely want a single document with no follow through, we are not the right supplier and we will say so rather than take the fee.
Every recommendation is tracked against the movement it was meant to produce, and the plan is revised on that evidence.
Our team is capable. Will you just tell us things we know?
On the fundamentals, sometimes, and that is useful confirmation.
A capable team usually knows the classic fundamentals well. Where we consistently add is the newer areas: business identity, question level measurement, connected page code, and content built for being quoted. If your team already has those covered, the review will say so and we will not invent a problem.
The fit review states which parts of your current approach are already working before it recommends anything.
How is this different from your other services?
Same program, different split between advice and delivery.
The underlying work is the same. Consulting shifts the balance toward direction and instructions, with your team building. The delivery focused pages shift it toward us building. The package level decides how much hands on work is included, and that split is agreed in writing during the review.
The split of who does what is confirmed in writing before the engagement begins.
What if we disagree with a recommendation?
Then we want to hear it, because you know things we do not.
You know constraints we cannot see: a platform limit, a legal review, a brand rule, a resourcing reality. A recommendation that ignores those is not a good recommendation. Every item carries its reasoning so you can challenge the reasoning rather than just the conclusion, and we adjust around real constraints.
Every item states the expected effect and the reason for its position, so it can be argued on the merits.
Answer five questions and see which package fits.
This runs entirely in your browser using the published package scope. Nothing is sent anywhere, nothing is stored, and you do not have to give an email address to see the answer.
Answer all five questions above and the recommendation will appear here, along with the reason behind it.
AI search consulting is delivered inside one of three monthly packages.
Local small businesses
Local AI Answer Starter
Help nearby customers find, trust, and choose your business across Google, Google Maps, and AI answers.
$799per month
Build your local AI answer foundation
- Google Business Profile + Google Maps optimization (categories, services, areas, hours, photos)
- Get found in Google AI Overviews + AI answers when customers ask "who to hire"
- 25 high-intent local buyer prompts tracked every month
- Competitor AI visibility comparison against 3 local rivals
- 1 answer-first page optimized + 3-5 new local FAQs every month
- LocalBusiness, Service & FAQ schema + NAP citation cleanup
Growing local businesses
Local AI Answer Growth
Win more calls, bookings, and quote requests across Google, Google Maps, and AI answer engines.
$1,500per month
Turn local AI visibility into more calls
- Everything in Starter, expanded for faster local growth
- 50-75 buyer-intent prompts tracked across every major AI answer engine
- Competitor AI + SEO gap analysis against 5 local rivals
- 2-3 pages optimized + 1 new local content asset (city, service, or cost guide) monthly
- 5-10 new local FAQs + full on-page SEO (titles, meta, links, alt text)
- Local entity authority + schema (LocalBusiness, Service, FAQ, Review)
Competitive & multi-location businesses
Local AI Answer Authority
Build a complete local authority system across Google, Maps, AI answers, reviews, and content.
$3,500per month
Become the trusted local answer at scale
This is the entry package that includes AI search consulting.
- Everything in Growth, built for competitive and multi-location markets
- 150-250 local prompts tracked + 10 competitors monitored
- 5-8 pages optimized + 2 new local content assets every month
- 10-20 new local FAQs, definitions & direct-answer blocks monthly
- Complete local entity authority system (business, service, location, owner/founder + SameAs)
- Advanced schema + local authority & PR opportunity building
Not sure which one applies to you? Use the package fit finder above, or compare every line item on the full pricing page. Every package includes ai search consulting at the level shown in the table below.
Exactly what AI search consulting covers at each package level.
This is the operational scope, written the way it appears in your monthly plan. Scroll the table sideways on a small screen.
| Included work | Local AI Answer Starter$799/mo | Local AI Answer Growth$1,500/mo | Local AI Answer Authority$3,500/mo |
|---|---|---|---|
| Ordered plan | Written monthly priorities | Plan with monthly review | Plan with leadership reporting |
| Strategy call | Not included | Monthly | Monthly with priority help |
| Instructions for your team | Priority items | Every item on the plan | Every item plus we build it |
| Questions and competitors measured | 25 questions, 3 competitors | 50 to 75 questions, 5 competitors | 150 to 250 questions, 10 competitors |
| Pages we build directly | 1 per month | 2 to 3 per month | 5 to 8 per month |
| Reporting for stakeholders | Monthly written report | Report and call | Report written for leadership |
Anything outside this scope is quoted separately and explained before the engagement starts, so there is never an invoice you did not expect.
Three situations where this engagement pays for itself.
If one of these describes your position, the fit review will be short and useful. If none of them do, say so and we will tell you honestly.
You have a capable team already
You have developers and marketers who execute well. What is missing is direction on what matters most in an area that keeps changing.
You need to justify a budget
An ordered plan with expected effects and measured outcomes is a far stronger internal case than a general recommendation to invest more.
You tried and stalled
Previous work produced a document nobody implemented. The missing pieces were priority, precision, and measurement.
When this is the wrong purchase
This is wrong for you if you want a single audit document with no ongoing relationship. We do not sell that, because a recommendation nobody measures cannot be corrected, and we would be charging you for a guess. Say so during the review and we will point you to someone who does.
Questions about ai search consulting.
Each answer opens with the direct answer, so you can read one line and move on.
What is AI search consulting?
It is practical direction on how your business should adapt to AI driven search: what to change, in what order, who should do it, and how you will know whether it worked. It carries on into implementation and measurement rather than ending with a document.
How is consulting different from an audit?
An audit ends with findings. This carries on into precise instructions, monthly review, and measurement of whether the implemented items produced the movement they were meant to. The value is in the change rather than the finding.
Can we buy a one time strategy document?
We do not sell that. A recommendation nobody implements or measures is a guess rather than knowledge, and charging for it would not be honest value. If that is genuinely what you want, we will say so during the review rather than take the fee.
Will you work with our internal team?
Yes, that is the usual arrangement. We produce the plan and the instructions, your team builds, and we review and measure. The exact split is confirmed in writing during the review.
What if we disagree with your recommendations?
Every item carries its reasoning and its expected effect, so you can challenge the thinking rather than just the conclusion. You know constraints we cannot see, and a recommendation that ignores a real platform, legal, or resourcing limit is not a good recommendation.
How much does AI search consulting cost?
It is delivered inside the packages at $799, $1,500, or $3,500 per month. Consulting led engagements usually need $1,500 or above, because the monthly strategy call and the deeper measurement start at that level.
Tell us what your team can already do.
We assess where you stand and what your team can genuinely build, then recommend the package with the right balance of direction and delivery.
- A written recommendation of which package fits, and why.
- The specific gaps we can see on your site before we speak.
- A clear statement of anything that falls outside package scope.
- Responds within 24 hours, Monday to Friday, 9am to 6pm Pacific Time.
- No obligation, no contract at this stage, and we never sell your details.
Three short steps
Request your AI search consulting fit review
We ask more than a typical form on purpose. The extra detail is what lets us answer with a real recommendation instead of a sales call.
Your request is in. Thank you.
A confirmation email is on its way, and Jagdeep Singh reviews these personally.
- Responds within 24 hours during Monday to Friday, 9am to 6pm Pacific Time.
- You will get a written package recommendation, not a sales deck.
- In a hurry? Call or text +1 (510) 399-5523.
Direction, then building, then evidence.
The work and the price are above. The review tells you which parts of your current approach are already working before recommending anything new.
Your team gets a short ordered list they can actually build, and you get to see each item measured against the result it was meant to produce.
- Published pricing, no discovery call required
- Evidence and limitations stated together
- Responds within 24 hours
Prefer to talk first? Call or text +1 (510) 399-5523 or email jd@aisearchrankings.com.