SEO agency · Google + Bing + AI search
SEO services that connect technical implementation, content, authority and AI-search visibility to qualified leads, sales and revenue. See the scope and process.
Written and reviewed by Aditya Aman, Founder and SEO Strategist
Last updated July 28, 2026 · Research reviewed against the live SERP
TheProjectSEO is an SEO agency for organizations that need to be found on Google and Bing and represented accurately in AI-assisted search. We combine technical SEO, demand research, page and content architecture, on-page optimization, internal links, digital authority, entity clarity, AI-search monitoring, and commercial measurement. The aim is not to manufacture traffic; it is to help the right audience discover, evaluate, and choose the business.
Evidence, not theatre
The figures below come from screenshots supplied and approved by the project owner. They are point-in-time observations with source context, not guarantees, universal averages, or proof that one tactic caused the result.
These are point-in-time measurements from screenshots supplied by the project owner, not promises or typical-client averages. Search and AI-response datasets use different collection methods and should not be added together.
Reserved for the approved organic traffic and keyword trend with period and selected metrics visible.
Evidence system
Expressway.PH trend evidence
Baseline
State the source and window
Observation
Separate metrics by meaning
Decision
Connect evidence to action
Reserved for the approved Google Search Console capture with period, clicks, and impressions visible.
Evidence system
TaxCalculator.com.ph search evidence
Baseline
State the source and window
Observation
Separate metrics by meaning
Decision
Connect evidence to action
Scope and deliverables
The scope is prioritized from the site, market, business model, and implementation reality. These six workstreams form one operating system rather than a bundle of disconnected tasks.
01
A crawl-to-render review of priority pages, templates, platforms, internal links, performance, and change processes.
02
A commercial map of the questions, entities, products, services, locations, and decision criteria the right audience searches.
03
A maintainable system for service, product, category, industry, location, comparison, evidence, and educational pages.
04
Page-level improvements that make the topic, offer, people, places, evidence, and next action clear to users and search systems.
05
Relevant, defensible third-party signals built through evidence, expertise, partnerships, digital PR, and useful assets.
06
Reporting that connects shipped work and qualified visibility to the outcomes the business can responsibly observe.
Find the technical, content, authority, and measurement gaps holding search back.
Search is a customer-discovery system, not a keyword list. People move from learning to comparison, brand validation, and action across search results, maps, publishers, marketplaces, and AI answers. Each stage needs an eligible page and a measurable next step.
01 · Discover
The searcher describes a problem, task, symptom, goal, or question before knowing the category or provider that can help.
Example searches
Conversion event: useful guide, tool, category education, or relevant solution path
02 · Evaluate
The buyer understands the problem and adds industry, location, platform, budget, capability, or risk constraints to build a shortlist.
Example searches
Conversion event: service, product, industry, location, comparison, trial, or consultation
03 · Validate
The buyer checks evidence, experience, process, people, pricing logic, compatibility, reviews, alternatives, and what the provider will actually deliver.
Example searches
Conversion event: case study, methodology, pricing, product evaluation, or qualified conversation
04 · Act
The user needs a clear path to buy, book, apply, enquire, visit, call, start a trial, or involve the next member of the buying committee.
Example searches
Conversion event: qualified lead, trial, appointment, order, opportunity, or revenue event
The usual problem is fragmentation. Technical fixes, content, links, and reporting happen as separate outputs without clear page ownership or a shared definition of business value.
High search volume can attract students, job seekers, hobbyists, or early learners while the business needs evaluators, local customers, product users, or qualified accounts.
Our response
We group demand by audience, job, stage, market, product or service, evidence need, and next action. Search volume informs opportunity; it does not decide strategy alone.
An audit can identify rendering, canonical, internal-link, template, performance, or migration issues, but rankings remain exposed if engineering never ships or monitors the fix.
Our response
Recommendations include evidence, affected templates, acceptance criteria, priority, owner, dependencies, and QA. We work with development workflows rather than stop at a PDF.
Publishing large numbers of similar pages can create cannibalization, weak evidence, outdated claims, and an expensive maintenance backlog.
Our response
Every page needs distinct intent, canonical ownership, first-party or sourced value, a reviewer, internal-link role, conversion purpose, and update or consolidation rule.
A position, session, form, or AI citation is not automatically a qualified customer. Cross-device, offline, dark-social, and long-cycle journeys add uncertainty.
Our response
We report visibility and implementation separately from customer progression, use cohorts and agreed attribution, and label evidence and inference rather than overclaim causality.
AI-assisted search expands the surface area of discovery, but it does not replace the web. Eligible, useful, accessible pages and credible sources still underpin many generated answers. The added work is understanding prompts, retrieval sources, entities, citations, and factual representation.
No agency can guarantee a ranking, citation, recommendation, or traffic from a probabilistic AI system. Outputs vary by platform, time, location, wording, account, and model. We preserve test conditions and report observed evidence without inventing attribution.
Explore our AI search optimization serviceMaintain the crawl, index, relevance, quality, internal-link, page-experience, and authority conditions needed across conventional and search-backed AI results.
Output: technical backlog, page ownership map, search baseline, and release QA
Make important customer questions, facts, differences, evidence, people, products, services, and places explicit and consistent.
Output: answer inventory, entity map, claim register, and structured-data plan
Identify which company and third-party sources shape important results and improve legitimate corroboration through useful evidence and expertise.
Output: citation-source graph, authority roadmap, and correction opportunities
Track a stable commercial prompt set by platform and distinguish mentions, citations, framing, factual accuracy, and relevant next actions.
Output: versioned observations, competitor movement, accuracy log, and decisions
The first cycle builds a shared baseline and prioritization model. Later cycles ship, validate, measure, learn, and adjust instead of repeating a fixed monthly checklist.
Map offers, audiences, markets, sites, technology, sales or commerce stages, evidence, stakeholders, constraints, and previous search work.
Delivered: business map, stakeholder plan, data access, risks, and outcome definitions
Audit crawling, rendering, templates, pages, links, content, competitors, search demand, current performance, entities, and relevant AI prompts.
Delivered: evidence-backed findings, baseline, opportunity model, and data gaps
Assign page ownership and score technical, content, authority, and measurement work by value, confidence, effort, dependencies, and risk.
Delivered: page map, briefs, developer tickets, internal links, and sequenced roadmap
Ship the highest-value fixes and pages with subject-owner review, technical acceptance criteria, conversion requirements, and production QA.
Delivered: released changes, reviewed pages, resolved defects, and decision log
Create useful evidence assets and earn relevant discovery through experts, partners, publications, communities, local sources, and credible profiles.
Delivered: source assets, relevant mentions or links, entity fixes, and outreach learning
Compare shipped cohorts with search, AI-answer, customer, product, sales, and revenue evidence; account for releases and decide what to scale or stop.
Delivered: decision report, experiment readout, confidence notes, and updated roadmap
The exact page types depend on the business model. Each indexable page should answer a distinct search job, expose real value, and move the visitor to a useful next step.
| Page system | Search job | Example assets | Business signal |
|---|---|---|---|
| Product, service, and category | What can solve my need? | product, category, service, capability, solution, and use-case pages | explicit offer, audience, facts, boundaries, proof, and conversion route |
| Industry and location | Does it fit my context and market? | industry, role, country, city, service-area, and branch pages | real expertise or presence, distinct facts, appropriate proof, and local action |
| Comparison and evaluation | How should I choose? | alternatives, versus, pricing, implementation, compatibility, and criteria | declared methodology, balanced differences, current sources, and next step |
| Education and tools | Help me understand or complete the task | guides, research, calculators, checklists, templates, and glossaries | original utility, expert or source review, update rule, and relevant commercial path |
| Evidence and trust | Can I verify the organization? | case studies, company, people, methodology, policies, reviews, and sources | approved facts, periods, methods, named ownership, limitations, and contact |
A useful report separates controllable work, search visibility, customer behavior, and commercial outcomes. It also explains data limitations and what decision follows.
SEO attribution is affected by consent, multiple sessions and devices, brand demand, offline interactions, direct visits, AI assistants, sales-cycle length, and CRM discipline. We use agreed definitions and do not present modeled or assisted influence as proven causality.
Priority recommendations shipped, affected templates validated, valuable pages indexable, regressions detected, and release defects resolved.
Verified with: tickets, crawl data, logs where available, Search Console, and QA records
Non-brand impressions, clicks, landing pages, and query cohorts for the right audience, stage, product, service, and market.
Verified with: Google Search Console, Bing Webmaster Tools, and controlled rank cohorts
Meaningful page paths, calls, bookings, enquiries, trials, applications, product actions, store discovery, or other approved stages.
Verified with: consent-aware analytics and business systems
Brand presence, citations, cited sources, framing, and factual accuracy for a stable commercially relevant prompt set.
Verified with: versioned platform observations
Qualified leads, accepted opportunities, pipeline, orders, new customers, revenue, or other approved business outcomes by cohort.
Verified with: CRM, commerce, booking, product, or approved attribution data
Fit is strongest when the business wants a measurable search system and can provide the implementation, expertise, and operational truth required to build one.
FAQ
Continue planning
Crawling, rendering, indexation, templates, migrations, performance, and release QA.
Demand research, briefs, expert review, production, refreshes, and governance.
Prompts, sources, entities, citations, answer accuracy, and platform monitoring.
Build category education, technical proof, entity clarity, and qualified AI-software demand.
Connect vehicle, ownership, route, marketplace, publishing, and local search journeys.
Coordinate compliant discovery, product education, local eligibility, and policy-aware authority.
Translate technical expertise, trust, use cases, and buying-stage evidence into search demand.
Improve category, product, catalog, merchandising, platform, and shopper discovery systems.
Support program discovery, admissions research, student questions, and institutional trust.
Align collection, product, trend, brand, editorial, and visual-shopping discovery.
Build accurate, reviewed, evidence-led search journeys for high-trust financial decisions.
Connect products, recipes, menus, locations, distributors, and consumer questions.
Coordinate medically reviewed content, service discovery, local journeys, and patient trust.
Support practice-area, jurisdiction, local, informational, and consultation search journeys.
Improve mission, program, donation, volunteer, beneficiary, and grant-related discovery.
Connect property, location, service, agent, developer, and high-intent local demand.
Build problem, solution, comparison, integration, use-case, and product-led search systems.
Turn complex products, services, documentation, expertise, and proof into qualified demand.
Coordinate destination, route, property, itinerary, booking, and seasonal discovery.
Use the practical definition of SEO, its operating layers, and its measurement boundaries.
Understand how to investigate ranking movement without reducing every change to one update.
Starting investment, scope variables, engagement models, and fit.
Share your website, products or services, audiences, markets, technical stack, and useful business stages. We will identify the highest-priority SEO and AI-search work.